Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing AG
2023
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | EAI/Springer Innovations in Communication and Computing Series
|
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (266 Seiten) |
| ISBN: | 9783031197116 |
Internformat
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| 100 | 1 | |a Kamble, Sachin S. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Cham |b Springer International Publishing AG |c 2023 | |
| 264 | 4 | |c ©2023 | |
| 300 | |a 1 Online-Ressource (266 Seiten) | ||
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| 505 | 8 | |a Intro -- Preface -- Acknowledgments -- Contents -- Big Data Analytics for Supply Chain Transformation: A Systematic Literature Review Using SCOR Framework -- 1 Introduction -- 2 Review Methodology -- 2.1 Material Collection -- 2.2 Descriptive Analysis -- 2.3 Article Classification -- 2.3.1 Classification by SCOR Domains -- 2.3.2 Classification by Level of Analytics -- 2.3.3 Classification by SCM Resources -- 3 Results and Discussions -- 3.1 BDA Applications in Plan Domain -- 3.1.1 New Product Development and Innovation -- 3.1.2 Demand Forecasting -- 3.2 BDA Applications in Source Domain -- 3.2.1 Procurement -- 3.2.2 Supplier Selection -- 3.3 BDA Applications in Make Domain -- 3.3.1 Manufacturing Systems -- 3.3.2 Process Improvement -- 3.3.3 Maintenance Management -- 3.3.4 Scheduling and Production Control -- 3.4 BDA Applications in Deliver Domain -- 3.4.1 SC Network Management -- 3.4.2 Order Picking -- 3.4.3 Inventory Management -- 3.4.4 Transportation and Logistics -- 4 SC Visibility, BDA Capability and SC Transformation -- 4.1 SC Visibility Framework -- 4.1.1 SC Visibility -- 4.1.2 BDA Capability -- 4.1.3 SC Transformation -- 5 Future Research Directions -- 5.1 Future Investigations on BDA Applications in the SCOR Domains -- 5.1.1 Plan Domain -- 5.1.2 Source Domain -- 5.1.3 Make Domain -- 5.1.4 Deliver Domain -- 5.1.5 Return Domain -- 5.2 Levels of Analytics Across the SCOR Domains -- 5.3 SCM Resources -- 6 Conclusions and Limitations -- References -- Untitled -- Unveiling the Role of Evolutionary Technologies for Building Circular Economy-Based Sustainable Manufacturing Supply Chain -- 1 Introduction -- 2 Literature Review on Industry 4.0 - Manufacturing and Circular Economy Concept -- 2.1 Industry 4.0 (Fourth Industrial Revolution) -- 2.1.1 Industry 4.0 Design Principles -- Interoperability -- Virtualization -- Decentralization | |
| 505 | 8 | |a Capability to Operate in Real Time -- Providing Excellent Customer Service -- 2.1.2 Techniques for Enabling Industry 4.0 -- Cyber-Physical Systems (CPS) -- The Internet of Things (IoT) -- Analytics and Data on the Internet of Things (IoT) -- Internet of Services -- Cloud Technology -- Blockchain -- Additive Manufacturing (AM) -- Artificial Intelligence (AI): Robots -- 2.1.3 Industry 4.0 Characteristics -- Vertical Networking of Smart Production Systems -- The Horizontal Integration -- Through Engineering Across the Whole Value Chain -- Acceleration Through Exponential Technologies -- 2.1.4 The Industry 4.0 Environment -- 2.1.5 Benefits from the Application of Industry 4.0 Techniques -- Optimized Production -- Increased Productivity -- Customization of Products and Delivering to a Value-Added End User -- Improved Control of Data and Operations -- Improved Communication and Collaboration in Supply Chain Management -- Reduced Costs -- Increased Profit and Shareholder Value -- Creating Innovations and Opportunities -- 2.1.6 Industry 4.0 Challenges -- Information Security Risk -- Capital Costs and Training -- Employment -- Privacy -- 2.2 Manufacturing and the Current Position in the Fourth Industrial Revolution (Industry 4.0) -- 2.2.1 The Purpose of Manufacturing Industries and Current Position -- 2.2.2 Challenges of Manufacturing Industries in Adopting Industry 4.0 -- 2.2.3 Manufacturing Process -- 2.2.4 Supply Chain and Management -- 2.3 Circular Economy Concept -- 2.3.1 Importance (Benefits) of Circular Economy Concept -- 2.3.2 Industry 4.0 Enabling Manufacturing Industries in Adopting CEC in Both Developed and Developing Countries -- 3 Research Method -- 3.1 Literature Review -- 3.1.1 Exploring Industry 4.0 Techniques and Their Applications in Manufacturing Industries for Creating a More Promising Circu | |
| 505 | 8 | |a 3.1.2 Adoption of Circular Economy Concept by Manufacturing Companies in Both Developed and Developing Countries -- 3.1.3 Barriers (Challenges) in Adopting Industry 4.0 That Restricts the Adoption of CEC -- 3.1.4 Industry Focus Group (IFG) -- 4 Results and Discussions -- 4.1 Results from Literature Review -- 4.2 Results from Industry Focused Group (IFG) in PNG -- 4.3 Discussions -- 5 Limitations and Recommendations -- 6 Conclusion -- References -- Smart Technologies Interventions for Sustainable Agri-Food Supply Chain -- 1 Introduction -- 2 Sustainable Agri-Food Supply Chain -- 3 Role of Smart Technologies in the Sustainable Agri-Food Supply Chain -- 3.1 Role of Artificial Intelligence in the Sustainable Agri-Food Supply Chain -- 3.2 Role of Internet of Things in Sustainable Agri-Food Supply Chain -- 3.3 Role of Blockchain in the Sustainable Agri-Food Supply Chain -- 3.4 Role of Robotics in Sustainable Agri-Business Supply Chain -- 3.5 Role of Sensors in Sustainable Agri-Food Supply Chain -- 3.6 Role of Wearable Technologies in Sustainable Agri-Food Supply Chain -- 3.7 Role of 3D Food Printing in Agri-Food Sustainable Supply Chain -- 4 Review of Literature -- 5 Methodology -- 6 Results and Discussion -- 6.1 Perceived Challenges for Adoption of Smart Technologies -- 6.2 Perceived Benefits from Smart Technologies -- 6.2.1 Cost-Efficient -- 6.2.2 Lead Time Reduction -- 6.2.3 Decrease Inventory Loss -- 6.2.4 Responsive -- 6.2.5 Reduce Uncertainty -- 6.2.6 Proper Coordination -- 6.2.7 Reduce Bullwhip Effect -- 6.2.8 Increase in Whole Supply Chain Surplus -- 6.2.9 Competitive Advantage -- 6.2.10 Creating Value for the Consumer -- 6.2.11 Providing the Longevity -- 6.2.12 Protecting the Environment -- 6.2.13 Reducing Waste -- 6.2.14 Society Upliftment -- 6.3 Strategies for Implementation of Sustainable Agri-Food Supply Chain -- 6.3.1 Convincing Stakeholders | |
| 505 | 8 | |a 6.3.2 Recruiting More Technical Staff -- 6.3.3 Provide Training to Existing Staff -- 6.3.4 Profit Distribution Based on Revenue Generation -- 6.3.5 Focus to Secure the Data -- 6.3.6 Government Approval -- 7 Conclusion -- Annexure -- References -- Wireless Sensors' Location for Smart Transportation in the Context of Industry 4.0 -- 1 Introduction -- 2 Literature Review -- 3 Wireless Sensor Networks for Transportation -- 3.1 Single-Commodity Network Flow -- 3.2 The Flow Formulation Model with Fuzzy Restriction on the Number of Sinks -- 3.3 The Flow Formulation Model with Fuzzy Restriction on Budget -- 3.3.1 Overview on Fuzzy Mathematical Programming -- 3.4 A Parametric Solution Approach -- 3.4.1 Solving the Flow Formulation with Restriction on the Number of Sinks -- 3.4.2 Solving the Flow Formulation Model with Fuzzy Restriction on Budget -- 3.4.3 An Alternative p-Median Formulation -- 3.5 Locating Sinks Under Fuzzy Constraints -- 4 Observability and Sensor Location Problem on Highway Segments -- 4.1 Problem Statement -- 4.2 Nonlocal Conservation Law Model -- 4.2.1 The Microscopic Model for Nonlocal Conservation Law -- 4.3 Observability of the Traffic Flow System -- 5 Conclusion -- References -- Barriers in Smart Green Resilient Lean Manufacturing: An ISM Approach -- 1 Background Literature -- 1.1 Smart Manufacturing -- 1.2 Green Manufacturing -- 1.3 Resilient Manufacturing -- 1.4 Lean Manufacturing -- 2 Research Gaps -- 3 Barriers to SGRLM -- 3.1 Lack of Expertise and Training Programs (B1) -- 3.2 Unsupportive Organization Culture and Resistance to Change (B2) -- 3.3 Lack of Management Involvement (B3) -- 3.4 Lack of Time and Resources (B4) -- 3.5 Financial Constraints (B5) -- 3.6 Lack of Regulations and Government Support (B6) -- 3.7 Ineffective Communication(B7) -- 3.8 Lack of Visibility (B8) -- 3.9 Customer Unawareness and Low Demand (B9) | |
| 505 | 8 | |a 3.10 Lack of Planning (B10) -- 3.11 Lack of Metrics for SGRLM (B11) -- 3.12 Technological Constraints (B12) -- 4 Research Methodology -- 5 Interpretive Structural Modelling (ISM) -- 5.1 SSIM Development -- 5.2 Initial Reachability Matrix Formation -- 5.3 Final Reachability Matrix Formation -- 5.4 Level Partitions -- 5.5 Formation of ISM-Based Model -- 6 MICMAC Analysis -- 7 Results and Discussion -- 8 Conclusion -- References -- Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain and Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain -- 3.1 Authentication Process for ASCM System -- 3.2 Consensus Process for ASCM System -- 3.3 Security Modules for Anomaly Detection and Securing Transactions -- 4 Discussion and Implications -- 5 Conclusion -- References -- The Role of IoT and IIoT in Supplier and Customer Continuous Improvement Interface -- 1 Introduction -- 2 Scenario and Background with Building the Interface Model -- 2.1 TQM Process with PDCA Cycle -- 2.2 Voice of Producer and Voice of Customer -- 2.3 Industrial Internet of Things (IIoT) and B2B -- 2.4 Internet of Things (IoT) and B2C -- 3 Discussion and Conclusions -- References -- Customer Relationship Management in the Digital Era of Artificial Intelligence -- 1 Introduction -- 2 Literature Review -- 3 Digital Transformation of Organizations and Sustainability -- 4 Integration of AI with CRM -- 5 Application of AI in CRM -- 6 AI Algorithm and Related Data Mining -- 7 Optimization of Business Operations Using AI-CRM -- 7.1 Customer Service and Retention of Customers -- 7.2 Automate the Routine Tasks -- 7.3 Guidance to the Sales Team -- 7.4 Virtual Assistance -- 7.5 Prioritization, Lead Customization, and Appropriate Representation -- 8 Examples of AI-CRM. | |
| 505 | 8 | |a 9 Implication of This Study | |
| 650 | 4 | |a Business logistics-Technological innovations | |
| 650 | 4 | |a Industry 4.0 | |
| 700 | 1 | |a Mor, Rahul S. |e Sonstige |4 oth | |
| 700 | 1 | |a Belhadi, Amine |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Kamble, Sachin S. |t Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance |d Cham : Springer International Publishing AG,c2023 |z 9783031197109 |
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Datensatz im Suchindex
| _version_ | 1814896442954743808 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Kamble, Sachin S. |
| author_facet | Kamble, Sachin S. |
| author_role | aut |
| author_sort | Kamble, Sachin S. |
| author_variant | s s k ss ssk |
| building | Verbundindex |
| bvnumber | BV049872898 |
| classification_rvk | QP 505 |
| collection | ZDB-30-PQE |
| contents | Intro -- Preface -- Acknowledgments -- Contents -- Big Data Analytics for Supply Chain Transformation: A Systematic Literature Review Using SCOR Framework -- 1 Introduction -- 2 Review Methodology -- 2.1 Material Collection -- 2.2 Descriptive Analysis -- 2.3 Article Classification -- 2.3.1 Classification by SCOR Domains -- 2.3.2 Classification by Level of Analytics -- 2.3.3 Classification by SCM Resources -- 3 Results and Discussions -- 3.1 BDA Applications in Plan Domain -- 3.1.1 New Product Development and Innovation -- 3.1.2 Demand Forecasting -- 3.2 BDA Applications in Source Domain -- 3.2.1 Procurement -- 3.2.2 Supplier Selection -- 3.3 BDA Applications in Make Domain -- 3.3.1 Manufacturing Systems -- 3.3.2 Process Improvement -- 3.3.3 Maintenance Management -- 3.3.4 Scheduling and Production Control -- 3.4 BDA Applications in Deliver Domain -- 3.4.1 SC Network Management -- 3.4.2 Order Picking -- 3.4.3 Inventory Management -- 3.4.4 Transportation and Logistics -- 4 SC Visibility, BDA Capability and SC Transformation -- 4.1 SC Visibility Framework -- 4.1.1 SC Visibility -- 4.1.2 BDA Capability -- 4.1.3 SC Transformation -- 5 Future Research Directions -- 5.1 Future Investigations on BDA Applications in the SCOR Domains -- 5.1.1 Plan Domain -- 5.1.2 Source Domain -- 5.1.3 Make Domain -- 5.1.4 Deliver Domain -- 5.1.5 Return Domain -- 5.2 Levels of Analytics Across the SCOR Domains -- 5.3 SCM Resources -- 6 Conclusions and Limitations -- References -- Untitled -- Unveiling the Role of Evolutionary Technologies for Building Circular Economy-Based Sustainable Manufacturing Supply Chain -- 1 Introduction -- 2 Literature Review on Industry 4.0 - Manufacturing and Circular Economy Concept -- 2.1 Industry 4.0 (Fourth Industrial Revolution) -- 2.1.1 Industry 4.0 Design Principles -- Interoperability -- Virtualization -- Decentralization Capability to Operate in Real Time -- Providing Excellent Customer Service -- 2.1.2 Techniques for Enabling Industry 4.0 -- Cyber-Physical Systems (CPS) -- The Internet of Things (IoT) -- Analytics and Data on the Internet of Things (IoT) -- Internet of Services -- Cloud Technology -- Blockchain -- Additive Manufacturing (AM) -- Artificial Intelligence (AI): Robots -- 2.1.3 Industry 4.0 Characteristics -- Vertical Networking of Smart Production Systems -- The Horizontal Integration -- Through Engineering Across the Whole Value Chain -- Acceleration Through Exponential Technologies -- 2.1.4 The Industry 4.0 Environment -- 2.1.5 Benefits from the Application of Industry 4.0 Techniques -- Optimized Production -- Increased Productivity -- Customization of Products and Delivering to a Value-Added End User -- Improved Control of Data and Operations -- Improved Communication and Collaboration in Supply Chain Management -- Reduced Costs -- Increased Profit and Shareholder Value -- Creating Innovations and Opportunities -- 2.1.6 Industry 4.0 Challenges -- Information Security Risk -- Capital Costs and Training -- Employment -- Privacy -- 2.2 Manufacturing and the Current Position in the Fourth Industrial Revolution (Industry 4.0) -- 2.2.1 The Purpose of Manufacturing Industries and Current Position -- 2.2.2 Challenges of Manufacturing Industries in Adopting Industry 4.0 -- 2.2.3 Manufacturing Process -- 2.2.4 Supply Chain and Management -- 2.3 Circular Economy Concept -- 2.3.1 Importance (Benefits) of Circular Economy Concept -- 2.3.2 Industry 4.0 Enabling Manufacturing Industries in Adopting CEC in Both Developed and Developing Countries -- 3 Research Method -- 3.1 Literature Review -- 3.1.1 Exploring Industry 4.0 Techniques and Their Applications in Manufacturing Industries for Creating a More Promising Circu 3.1.2 Adoption of Circular Economy Concept by Manufacturing Companies in Both Developed and Developing Countries -- 3.1.3 Barriers (Challenges) in Adopting Industry 4.0 That Restricts the Adoption of CEC -- 3.1.4 Industry Focus Group (IFG) -- 4 Results and Discussions -- 4.1 Results from Literature Review -- 4.2 Results from Industry Focused Group (IFG) in PNG -- 4.3 Discussions -- 5 Limitations and Recommendations -- 6 Conclusion -- References -- Smart Technologies Interventions for Sustainable Agri-Food Supply Chain -- 1 Introduction -- 2 Sustainable Agri-Food Supply Chain -- 3 Role of Smart Technologies in the Sustainable Agri-Food Supply Chain -- 3.1 Role of Artificial Intelligence in the Sustainable Agri-Food Supply Chain -- 3.2 Role of Internet of Things in Sustainable Agri-Food Supply Chain -- 3.3 Role of Blockchain in the Sustainable Agri-Food Supply Chain -- 3.4 Role of Robotics in Sustainable Agri-Business Supply Chain -- 3.5 Role of Sensors in Sustainable Agri-Food Supply Chain -- 3.6 Role of Wearable Technologies in Sustainable Agri-Food Supply Chain -- 3.7 Role of 3D Food Printing in Agri-Food Sustainable Supply Chain -- 4 Review of Literature -- 5 Methodology -- 6 Results and Discussion -- 6.1 Perceived Challenges for Adoption of Smart Technologies -- 6.2 Perceived Benefits from Smart Technologies -- 6.2.1 Cost-Efficient -- 6.2.2 Lead Time Reduction -- 6.2.3 Decrease Inventory Loss -- 6.2.4 Responsive -- 6.2.5 Reduce Uncertainty -- 6.2.6 Proper Coordination -- 6.2.7 Reduce Bullwhip Effect -- 6.2.8 Increase in Whole Supply Chain Surplus -- 6.2.9 Competitive Advantage -- 6.2.10 Creating Value for the Consumer -- 6.2.11 Providing the Longevity -- 6.2.12 Protecting the Environment -- 6.2.13 Reducing Waste -- 6.2.14 Society Upliftment -- 6.3 Strategies for Implementation of Sustainable Agri-Food Supply Chain -- 6.3.1 Convincing Stakeholders 6.3.2 Recruiting More Technical Staff -- 6.3.3 Provide Training to Existing Staff -- 6.3.4 Profit Distribution Based on Revenue Generation -- 6.3.5 Focus to Secure the Data -- 6.3.6 Government Approval -- 7 Conclusion -- Annexure -- References -- Wireless Sensors' Location for Smart Transportation in the Context of Industry 4.0 -- 1 Introduction -- 2 Literature Review -- 3 Wireless Sensor Networks for Transportation -- 3.1 Single-Commodity Network Flow -- 3.2 The Flow Formulation Model with Fuzzy Restriction on the Number of Sinks -- 3.3 The Flow Formulation Model with Fuzzy Restriction on Budget -- 3.3.1 Overview on Fuzzy Mathematical Programming -- 3.4 A Parametric Solution Approach -- 3.4.1 Solving the Flow Formulation with Restriction on the Number of Sinks -- 3.4.2 Solving the Flow Formulation Model with Fuzzy Restriction on Budget -- 3.4.3 An Alternative p-Median Formulation -- 3.5 Locating Sinks Under Fuzzy Constraints -- 4 Observability and Sensor Location Problem on Highway Segments -- 4.1 Problem Statement -- 4.2 Nonlocal Conservation Law Model -- 4.2.1 The Microscopic Model for Nonlocal Conservation Law -- 4.3 Observability of the Traffic Flow System -- 5 Conclusion -- References -- Barriers in Smart Green Resilient Lean Manufacturing: An ISM Approach -- 1 Background Literature -- 1.1 Smart Manufacturing -- 1.2 Green Manufacturing -- 1.3 Resilient Manufacturing -- 1.4 Lean Manufacturing -- 2 Research Gaps -- 3 Barriers to SGRLM -- 3.1 Lack of Expertise and Training Programs (B1) -- 3.2 Unsupportive Organization Culture and Resistance to Change (B2) -- 3.3 Lack of Management Involvement (B3) -- 3.4 Lack of Time and Resources (B4) -- 3.5 Financial Constraints (B5) -- 3.6 Lack of Regulations and Government Support (B6) -- 3.7 Ineffective Communication(B7) -- 3.8 Lack of Visibility (B8) -- 3.9 Customer Unawareness and Low Demand (B9) 3.10 Lack of Planning (B10) -- 3.11 Lack of Metrics for SGRLM (B11) -- 3.12 Technological Constraints (B12) -- 4 Research Methodology -- 5 Interpretive Structural Modelling (ISM) -- 5.1 SSIM Development -- 5.2 Initial Reachability Matrix Formation -- 5.3 Final Reachability Matrix Formation -- 5.4 Level Partitions -- 5.5 Formation of ISM-Based Model -- 6 MICMAC Analysis -- 7 Results and Discussion -- 8 Conclusion -- References -- Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain and Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain -- 3.1 Authentication Process for ASCM System -- 3.2 Consensus Process for ASCM System -- 3.3 Security Modules for Anomaly Detection and Securing Transactions -- 4 Discussion and Implications -- 5 Conclusion -- References -- The Role of IoT and IIoT in Supplier and Customer Continuous Improvement Interface -- 1 Introduction -- 2 Scenario and Background with Building the Interface Model -- 2.1 TQM Process with PDCA Cycle -- 2.2 Voice of Producer and Voice of Customer -- 2.3 Industrial Internet of Things (IIoT) and B2B -- 2.4 Internet of Things (IoT) and B2C -- 3 Discussion and Conclusions -- References -- Customer Relationship Management in the Digital Era of Artificial Intelligence -- 1 Introduction -- 2 Literature Review -- 3 Digital Transformation of Organizations and Sustainability -- 4 Integration of AI with CRM -- 5 Application of AI in CRM -- 6 AI Algorithm and Related Data Mining -- 7 Optimization of Business Operations Using AI-CRM -- 7.1 Customer Service and Retention of Customers -- 7.2 Automate the Routine Tasks -- 7.3 Guidance to the Sales Team -- 7.4 Virtual Assistance -- 7.5 Prioritization, Lead Customization, and Appropriate Representation -- 8 Examples of AI-CRM. 9 Implication of This Study |
| ctrlnum | (ZDB-30-PQE)EBC7191459 (ZDB-30-PAD)EBC7191459 (ZDB-89-EBL)EBL7191459 (OCoLC)1369570471 (DE-599)BVBBV049872898 |
| dewey-full | 658.5 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5 |
| dewey-search | 658.5 |
| dewey-sort | 3658.5 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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-- Decentralization</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Capability to Operate in Real Time -- Providing Excellent Customer Service -- 2.1.2 Techniques for Enabling Industry 4.0 -- Cyber-Physical Systems (CPS) -- The Internet of Things (IoT) -- Analytics and Data on the Internet of Things (IoT) -- Internet of Services -- Cloud Technology -- Blockchain -- Additive Manufacturing (AM) -- Artificial Intelligence (AI): Robots -- 2.1.3 Industry 4.0 Characteristics -- Vertical Networking of Smart Production Systems -- The Horizontal Integration -- Through Engineering Across the Whole Value Chain -- Acceleration Through Exponential Technologies -- 2.1.4 The Industry 4.0 Environment -- 2.1.5 Benefits from the Application of Industry 4.0 Techniques -- Optimized Production -- Increased Productivity -- Customization of Products and Delivering to a Value-Added End User -- Improved Control of Data and Operations -- Improved Communication and Collaboration in Supply Chain Management -- Reduced Costs -- Increased Profit and Shareholder Value -- Creating Innovations and Opportunities -- 2.1.6 Industry 4.0 Challenges -- Information Security Risk -- Capital Costs and Training -- Employment -- Privacy -- 2.2 Manufacturing and the Current Position in the Fourth Industrial Revolution (Industry 4.0) -- 2.2.1 The Purpose of Manufacturing Industries and Current Position -- 2.2.2 Challenges of Manufacturing Industries in Adopting Industry 4.0 -- 2.2.3 Manufacturing Process -- 2.2.4 Supply Chain and Management -- 2.3 Circular Economy Concept -- 2.3.1 Importance (Benefits) of Circular Economy Concept -- 2.3.2 Industry 4.0 Enabling Manufacturing Industries in Adopting CEC in Both Developed and Developing Countries -- 3 Research Method -- 3.1 Literature Review -- 3.1.1 Exploring Industry 4.0 Techniques and Their Applications in Manufacturing Industries for Creating a More Promising Circu</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.1.2 Adoption of Circular Economy Concept by Manufacturing Companies in Both Developed and Developing Countries -- 3.1.3 Barriers (Challenges) in Adopting Industry 4.0 That Restricts the Adoption of CEC -- 3.1.4 Industry Focus Group (IFG) -- 4 Results and Discussions -- 4.1 Results from Literature Review -- 4.2 Results from Industry Focused Group (IFG) in PNG -- 4.3 Discussions -- 5 Limitations and Recommendations -- 6 Conclusion -- References -- Smart Technologies Interventions for Sustainable Agri-Food Supply Chain -- 1 Introduction -- 2 Sustainable Agri-Food Supply Chain -- 3 Role of Smart Technologies in the Sustainable Agri-Food Supply Chain -- 3.1 Role of Artificial Intelligence in the Sustainable Agri-Food Supply Chain -- 3.2 Role of Internet of Things in Sustainable Agri-Food Supply Chain -- 3.3 Role of Blockchain in the Sustainable Agri-Food Supply Chain -- 3.4 Role of Robotics in Sustainable Agri-Business Supply Chain -- 3.5 Role of Sensors in Sustainable Agri-Food Supply Chain -- 3.6 Role of Wearable Technologies in Sustainable Agri-Food Supply Chain -- 3.7 Role of 3D Food Printing in Agri-Food Sustainable Supply Chain -- 4 Review of Literature -- 5 Methodology -- 6 Results and Discussion -- 6.1 Perceived Challenges for Adoption of Smart Technologies -- 6.2 Perceived Benefits from Smart Technologies -- 6.2.1 Cost-Efficient -- 6.2.2 Lead Time Reduction -- 6.2.3 Decrease Inventory Loss -- 6.2.4 Responsive -- 6.2.5 Reduce Uncertainty -- 6.2.6 Proper Coordination -- 6.2.7 Reduce Bullwhip Effect -- 6.2.8 Increase in Whole Supply Chain Surplus -- 6.2.9 Competitive Advantage -- 6.2.10 Creating Value for the Consumer -- 6.2.11 Providing the Longevity -- 6.2.12 Protecting the Environment -- 6.2.13 Reducing Waste -- 6.2.14 Society Upliftment -- 6.3 Strategies for Implementation of Sustainable Agri-Food Supply Chain -- 6.3.1 Convincing Stakeholders</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6.3.2 Recruiting More Technical Staff -- 6.3.3 Provide Training to Existing Staff -- 6.3.4 Profit Distribution Based on Revenue Generation -- 6.3.5 Focus to Secure the Data -- 6.3.6 Government Approval -- 7 Conclusion -- Annexure -- References -- Wireless Sensors' Location for Smart Transportation in the Context of Industry 4.0 -- 1 Introduction -- 2 Literature Review -- 3 Wireless Sensor Networks for Transportation -- 3.1 Single-Commodity Network Flow -- 3.2 The Flow Formulation Model with Fuzzy Restriction on the Number of Sinks -- 3.3 The Flow Formulation Model with Fuzzy Restriction on Budget -- 3.3.1 Overview on Fuzzy Mathematical Programming -- 3.4 A Parametric Solution Approach -- 3.4.1 Solving the Flow Formulation with Restriction on the Number of Sinks -- 3.4.2 Solving the Flow Formulation Model with Fuzzy Restriction on Budget -- 3.4.3 An Alternative p-Median Formulation -- 3.5 Locating Sinks Under Fuzzy Constraints -- 4 Observability and Sensor Location Problem on Highway Segments -- 4.1 Problem Statement -- 4.2 Nonlocal Conservation Law Model -- 4.2.1 The Microscopic Model for Nonlocal Conservation Law -- 4.3 Observability of the Traffic Flow System -- 5 Conclusion -- References -- Barriers in Smart Green Resilient Lean Manufacturing: An ISM Approach -- 1 Background Literature -- 1.1 Smart Manufacturing -- 1.2 Green Manufacturing -- 1.3 Resilient Manufacturing -- 1.4 Lean Manufacturing -- 2 Research Gaps -- 3 Barriers to SGRLM -- 3.1 Lack of Expertise and Training Programs (B1) -- 3.2 Unsupportive Organization Culture and Resistance to Change (B2) -- 3.3 Lack of Management Involvement (B3) -- 3.4 Lack of Time and Resources (B4) -- 3.5 Financial Constraints (B5) -- 3.6 Lack of Regulations and Government Support (B6) -- 3.7 Ineffective Communication(B7) -- 3.8 Lack of Visibility (B8) -- 3.9 Customer Unawareness and Low Demand (B9)</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.10 Lack of Planning (B10) -- 3.11 Lack of Metrics for SGRLM (B11) -- 3.12 Technological Constraints (B12) -- 4 Research Methodology -- 5 Interpretive Structural Modelling (ISM) -- 5.1 SSIM Development -- 5.2 Initial Reachability Matrix Formation -- 5.3 Final Reachability Matrix Formation -- 5.4 Level Partitions -- 5.5 Formation of ISM-Based Model -- 6 MICMAC Analysis -- 7 Results and Discussion -- 8 Conclusion -- References -- Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain and Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain -- 3.1 Authentication Process for ASCM System -- 3.2 Consensus Process for ASCM System -- 3.3 Security Modules for Anomaly Detection and Securing Transactions -- 4 Discussion and Implications -- 5 Conclusion -- References -- The Role of IoT and IIoT in Supplier and Customer Continuous Improvement Interface -- 1 Introduction -- 2 Scenario and Background with Building the Interface Model -- 2.1 TQM Process with PDCA Cycle -- 2.2 Voice of Producer and Voice of Customer -- 2.3 Industrial Internet of Things (IIoT) and B2B -- 2.4 Internet of Things (IoT) and B2C -- 3 Discussion and Conclusions -- References -- Customer Relationship Management in the Digital Era of Artificial Intelligence -- 1 Introduction -- 2 Literature Review -- 3 Digital Transformation of Organizations and Sustainability -- 4 Integration of AI with CRM -- 5 Application of AI in CRM -- 6 AI Algorithm and Related Data Mining -- 7 Optimization of Business Operations Using AI-CRM -- 7.1 Customer Service and Retention of Customers -- 7.2 Automate the Routine Tasks -- 7.3 Guidance to the Sales Team -- 7.4 Virtual Assistance -- 7.5 Prioritization, Lead Customization, and Appropriate Representation -- 8 Examples of AI-CRM.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">9 Implication of This Study</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield 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| id | DE-604.BV049872898 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-05T15:22:04Z |
| institution | BVB |
| isbn | 9783031197116 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035212356 |
| oclc_num | 1369570471 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (266 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer International Publishing AG |
| record_format | marc |
| series2 | EAI/Springer Innovations in Communication and Computing Series |
| spelling | Kamble, Sachin S. Verfasser aut Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance 1st ed Cham Springer International Publishing AG 2023 ©2023 1 Online-Ressource (266 Seiten) txt rdacontent c rdamedia cr rdacarrier EAI/Springer Innovations in Communication and Computing Series Description based on publisher supplied metadata and other sources Intro -- Preface -- Acknowledgments -- Contents -- Big Data Analytics for Supply Chain Transformation: A Systematic Literature Review Using SCOR Framework -- 1 Introduction -- 2 Review Methodology -- 2.1 Material Collection -- 2.2 Descriptive Analysis -- 2.3 Article Classification -- 2.3.1 Classification by SCOR Domains -- 2.3.2 Classification by Level of Analytics -- 2.3.3 Classification by SCM Resources -- 3 Results and Discussions -- 3.1 BDA Applications in Plan Domain -- 3.1.1 New Product Development and Innovation -- 3.1.2 Demand Forecasting -- 3.2 BDA Applications in Source Domain -- 3.2.1 Procurement -- 3.2.2 Supplier Selection -- 3.3 BDA Applications in Make Domain -- 3.3.1 Manufacturing Systems -- 3.3.2 Process Improvement -- 3.3.3 Maintenance Management -- 3.3.4 Scheduling and Production Control -- 3.4 BDA Applications in Deliver Domain -- 3.4.1 SC Network Management -- 3.4.2 Order Picking -- 3.4.3 Inventory Management -- 3.4.4 Transportation and Logistics -- 4 SC Visibility, BDA Capability and SC Transformation -- 4.1 SC Visibility Framework -- 4.1.1 SC Visibility -- 4.1.2 BDA Capability -- 4.1.3 SC Transformation -- 5 Future Research Directions -- 5.1 Future Investigations on BDA Applications in the SCOR Domains -- 5.1.1 Plan Domain -- 5.1.2 Source Domain -- 5.1.3 Make Domain -- 5.1.4 Deliver Domain -- 5.1.5 Return Domain -- 5.2 Levels of Analytics Across the SCOR Domains -- 5.3 SCM Resources -- 6 Conclusions and Limitations -- References -- Untitled -- Unveiling the Role of Evolutionary Technologies for Building Circular Economy-Based Sustainable Manufacturing Supply Chain -- 1 Introduction -- 2 Literature Review on Industry 4.0 - Manufacturing and Circular Economy Concept -- 2.1 Industry 4.0 (Fourth Industrial Revolution) -- 2.1.1 Industry 4.0 Design Principles -- Interoperability -- Virtualization -- Decentralization Capability to Operate in Real Time -- Providing Excellent Customer Service -- 2.1.2 Techniques for Enabling Industry 4.0 -- Cyber-Physical Systems (CPS) -- The Internet of Things (IoT) -- Analytics and Data on the Internet of Things (IoT) -- Internet of Services -- Cloud Technology -- Blockchain -- Additive Manufacturing (AM) -- Artificial Intelligence (AI): Robots -- 2.1.3 Industry 4.0 Characteristics -- Vertical Networking of Smart Production Systems -- The Horizontal Integration -- Through Engineering Across the Whole Value Chain -- Acceleration Through Exponential Technologies -- 2.1.4 The Industry 4.0 Environment -- 2.1.5 Benefits from the Application of Industry 4.0 Techniques -- Optimized Production -- Increased Productivity -- Customization of Products and Delivering to a Value-Added End User -- Improved Control of Data and Operations -- Improved Communication and Collaboration in Supply Chain Management -- Reduced Costs -- Increased Profit and Shareholder Value -- Creating Innovations and Opportunities -- 2.1.6 Industry 4.0 Challenges -- Information Security Risk -- Capital Costs and Training -- Employment -- Privacy -- 2.2 Manufacturing and the Current Position in the Fourth Industrial Revolution (Industry 4.0) -- 2.2.1 The Purpose of Manufacturing Industries and Current Position -- 2.2.2 Challenges of Manufacturing Industries in Adopting Industry 4.0 -- 2.2.3 Manufacturing Process -- 2.2.4 Supply Chain and Management -- 2.3 Circular Economy Concept -- 2.3.1 Importance (Benefits) of Circular Economy Concept -- 2.3.2 Industry 4.0 Enabling Manufacturing Industries in Adopting CEC in Both Developed and Developing Countries -- 3 Research Method -- 3.1 Literature Review -- 3.1.1 Exploring Industry 4.0 Techniques and Their Applications in Manufacturing Industries for Creating a More Promising Circu 3.1.2 Adoption of Circular Economy Concept by Manufacturing Companies in Both Developed and Developing Countries -- 3.1.3 Barriers (Challenges) in Adopting Industry 4.0 That Restricts the Adoption of CEC -- 3.1.4 Industry Focus Group (IFG) -- 4 Results and Discussions -- 4.1 Results from Literature Review -- 4.2 Results from Industry Focused Group (IFG) in PNG -- 4.3 Discussions -- 5 Limitations and Recommendations -- 6 Conclusion -- References -- Smart Technologies Interventions for Sustainable Agri-Food Supply Chain -- 1 Introduction -- 2 Sustainable Agri-Food Supply Chain -- 3 Role of Smart Technologies in the Sustainable Agri-Food Supply Chain -- 3.1 Role of Artificial Intelligence in the Sustainable Agri-Food Supply Chain -- 3.2 Role of Internet of Things in Sustainable Agri-Food Supply Chain -- 3.3 Role of Blockchain in the Sustainable Agri-Food Supply Chain -- 3.4 Role of Robotics in Sustainable Agri-Business Supply Chain -- 3.5 Role of Sensors in Sustainable Agri-Food Supply Chain -- 3.6 Role of Wearable Technologies in Sustainable Agri-Food Supply Chain -- 3.7 Role of 3D Food Printing in Agri-Food Sustainable Supply Chain -- 4 Review of Literature -- 5 Methodology -- 6 Results and Discussion -- 6.1 Perceived Challenges for Adoption of Smart Technologies -- 6.2 Perceived Benefits from Smart Technologies -- 6.2.1 Cost-Efficient -- 6.2.2 Lead Time Reduction -- 6.2.3 Decrease Inventory Loss -- 6.2.4 Responsive -- 6.2.5 Reduce Uncertainty -- 6.2.6 Proper Coordination -- 6.2.7 Reduce Bullwhip Effect -- 6.2.8 Increase in Whole Supply Chain Surplus -- 6.2.9 Competitive Advantage -- 6.2.10 Creating Value for the Consumer -- 6.2.11 Providing the Longevity -- 6.2.12 Protecting the Environment -- 6.2.13 Reducing Waste -- 6.2.14 Society Upliftment -- 6.3 Strategies for Implementation of Sustainable Agri-Food Supply Chain -- 6.3.1 Convincing Stakeholders 6.3.2 Recruiting More Technical Staff -- 6.3.3 Provide Training to Existing Staff -- 6.3.4 Profit Distribution Based on Revenue Generation -- 6.3.5 Focus to Secure the Data -- 6.3.6 Government Approval -- 7 Conclusion -- Annexure -- References -- Wireless Sensors' Location for Smart Transportation in the Context of Industry 4.0 -- 1 Introduction -- 2 Literature Review -- 3 Wireless Sensor Networks for Transportation -- 3.1 Single-Commodity Network Flow -- 3.2 The Flow Formulation Model with Fuzzy Restriction on the Number of Sinks -- 3.3 The Flow Formulation Model with Fuzzy Restriction on Budget -- 3.3.1 Overview on Fuzzy Mathematical Programming -- 3.4 A Parametric Solution Approach -- 3.4.1 Solving the Flow Formulation with Restriction on the Number of Sinks -- 3.4.2 Solving the Flow Formulation Model with Fuzzy Restriction on Budget -- 3.4.3 An Alternative p-Median Formulation -- 3.5 Locating Sinks Under Fuzzy Constraints -- 4 Observability and Sensor Location Problem on Highway Segments -- 4.1 Problem Statement -- 4.2 Nonlocal Conservation Law Model -- 4.2.1 The Microscopic Model for Nonlocal Conservation Law -- 4.3 Observability of the Traffic Flow System -- 5 Conclusion -- References -- Barriers in Smart Green Resilient Lean Manufacturing: An ISM Approach -- 1 Background Literature -- 1.1 Smart Manufacturing -- 1.2 Green Manufacturing -- 1.3 Resilient Manufacturing -- 1.4 Lean Manufacturing -- 2 Research Gaps -- 3 Barriers to SGRLM -- 3.1 Lack of Expertise and Training Programs (B1) -- 3.2 Unsupportive Organization Culture and Resistance to Change (B2) -- 3.3 Lack of Management Involvement (B3) -- 3.4 Lack of Time and Resources (B4) -- 3.5 Financial Constraints (B5) -- 3.6 Lack of Regulations and Government Support (B6) -- 3.7 Ineffective Communication(B7) -- 3.8 Lack of Visibility (B8) -- 3.9 Customer Unawareness and Low Demand (B9) 3.10 Lack of Planning (B10) -- 3.11 Lack of Metrics for SGRLM (B11) -- 3.12 Technological Constraints (B12) -- 4 Research Methodology -- 5 Interpretive Structural Modelling (ISM) -- 5.1 SSIM Development -- 5.2 Initial Reachability Matrix Formation -- 5.3 Final Reachability Matrix Formation -- 5.4 Level Partitions -- 5.5 Formation of ISM-Based Model -- 6 MICMAC Analysis -- 7 Results and Discussion -- 8 Conclusion -- References -- Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain and Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain -- 3.1 Authentication Process for ASCM System -- 3.2 Consensus Process for ASCM System -- 3.3 Security Modules for Anomaly Detection and Securing Transactions -- 4 Discussion and Implications -- 5 Conclusion -- References -- The Role of IoT and IIoT in Supplier and Customer Continuous Improvement Interface -- 1 Introduction -- 2 Scenario and Background with Building the Interface Model -- 2.1 TQM Process with PDCA Cycle -- 2.2 Voice of Producer and Voice of Customer -- 2.3 Industrial Internet of Things (IIoT) and B2B -- 2.4 Internet of Things (IoT) and B2C -- 3 Discussion and Conclusions -- References -- Customer Relationship Management in the Digital Era of Artificial Intelligence -- 1 Introduction -- 2 Literature Review -- 3 Digital Transformation of Organizations and Sustainability -- 4 Integration of AI with CRM -- 5 Application of AI in CRM -- 6 AI Algorithm and Related Data Mining -- 7 Optimization of Business Operations Using AI-CRM -- 7.1 Customer Service and Retention of Customers -- 7.2 Automate the Routine Tasks -- 7.3 Guidance to the Sales Team -- 7.4 Virtual Assistance -- 7.5 Prioritization, Lead Customization, and Appropriate Representation -- 8 Examples of AI-CRM. 9 Implication of This Study Business logistics-Technological innovations Industry 4.0 Mor, Rahul S. Sonstige oth Belhadi, Amine Sonstige oth Erscheint auch als Druck-Ausgabe Kamble, Sachin S. Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance Cham : Springer International Publishing AG,c2023 9783031197109 |
| spellingShingle | Kamble, Sachin S. Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance Intro -- Preface -- Acknowledgments -- Contents -- Big Data Analytics for Supply Chain Transformation: A Systematic Literature Review Using SCOR Framework -- 1 Introduction -- 2 Review Methodology -- 2.1 Material Collection -- 2.2 Descriptive Analysis -- 2.3 Article Classification -- 2.3.1 Classification by SCOR Domains -- 2.3.2 Classification by Level of Analytics -- 2.3.3 Classification by SCM Resources -- 3 Results and Discussions -- 3.1 BDA Applications in Plan Domain -- 3.1.1 New Product Development and Innovation -- 3.1.2 Demand Forecasting -- 3.2 BDA Applications in Source Domain -- 3.2.1 Procurement -- 3.2.2 Supplier Selection -- 3.3 BDA Applications in Make Domain -- 3.3.1 Manufacturing Systems -- 3.3.2 Process Improvement -- 3.3.3 Maintenance Management -- 3.3.4 Scheduling and Production Control -- 3.4 BDA Applications in Deliver Domain -- 3.4.1 SC Network Management -- 3.4.2 Order Picking -- 3.4.3 Inventory Management -- 3.4.4 Transportation and Logistics -- 4 SC Visibility, BDA Capability and SC Transformation -- 4.1 SC Visibility Framework -- 4.1.1 SC Visibility -- 4.1.2 BDA Capability -- 4.1.3 SC Transformation -- 5 Future Research Directions -- 5.1 Future Investigations on BDA Applications in the SCOR Domains -- 5.1.1 Plan Domain -- 5.1.2 Source Domain -- 5.1.3 Make Domain -- 5.1.4 Deliver Domain -- 5.1.5 Return Domain -- 5.2 Levels of Analytics Across the SCOR Domains -- 5.3 SCM Resources -- 6 Conclusions and Limitations -- References -- Untitled -- Unveiling the Role of Evolutionary Technologies for Building Circular Economy-Based Sustainable Manufacturing Supply Chain -- 1 Introduction -- 2 Literature Review on Industry 4.0 - Manufacturing and Circular Economy Concept -- 2.1 Industry 4.0 (Fourth Industrial Revolution) -- 2.1.1 Industry 4.0 Design Principles -- Interoperability -- Virtualization -- Decentralization Capability to Operate in Real Time -- Providing Excellent Customer Service -- 2.1.2 Techniques for Enabling Industry 4.0 -- Cyber-Physical Systems (CPS) -- The Internet of Things (IoT) -- Analytics and Data on the Internet of Things (IoT) -- Internet of Services -- Cloud Technology -- Blockchain -- Additive Manufacturing (AM) -- Artificial Intelligence (AI): Robots -- 2.1.3 Industry 4.0 Characteristics -- Vertical Networking of Smart Production Systems -- The Horizontal Integration -- Through Engineering Across the Whole Value Chain -- Acceleration Through Exponential Technologies -- 2.1.4 The Industry 4.0 Environment -- 2.1.5 Benefits from the Application of Industry 4.0 Techniques -- Optimized Production -- Increased Productivity -- Customization of Products and Delivering to a Value-Added End User -- Improved Control of Data and Operations -- Improved Communication and Collaboration in Supply Chain Management -- Reduced Costs -- Increased Profit and Shareholder Value -- Creating Innovations and Opportunities -- 2.1.6 Industry 4.0 Challenges -- Information Security Risk -- Capital Costs and Training -- Employment -- Privacy -- 2.2 Manufacturing and the Current Position in the Fourth Industrial Revolution (Industry 4.0) -- 2.2.1 The Purpose of Manufacturing Industries and Current Position -- 2.2.2 Challenges of Manufacturing Industries in Adopting Industry 4.0 -- 2.2.3 Manufacturing Process -- 2.2.4 Supply Chain and Management -- 2.3 Circular Economy Concept -- 2.3.1 Importance (Benefits) of Circular Economy Concept -- 2.3.2 Industry 4.0 Enabling Manufacturing Industries in Adopting CEC in Both Developed and Developing Countries -- 3 Research Method -- 3.1 Literature Review -- 3.1.1 Exploring Industry 4.0 Techniques and Their Applications in Manufacturing Industries for Creating a More Promising Circu 3.1.2 Adoption of Circular Economy Concept by Manufacturing Companies in Both Developed and Developing Countries -- 3.1.3 Barriers (Challenges) in Adopting Industry 4.0 That Restricts the Adoption of CEC -- 3.1.4 Industry Focus Group (IFG) -- 4 Results and Discussions -- 4.1 Results from Literature Review -- 4.2 Results from Industry Focused Group (IFG) in PNG -- 4.3 Discussions -- 5 Limitations and Recommendations -- 6 Conclusion -- References -- Smart Technologies Interventions for Sustainable Agri-Food Supply Chain -- 1 Introduction -- 2 Sustainable Agri-Food Supply Chain -- 3 Role of Smart Technologies in the Sustainable Agri-Food Supply Chain -- 3.1 Role of Artificial Intelligence in the Sustainable Agri-Food Supply Chain -- 3.2 Role of Internet of Things in Sustainable Agri-Food Supply Chain -- 3.3 Role of Blockchain in the Sustainable Agri-Food Supply Chain -- 3.4 Role of Robotics in Sustainable Agri-Business Supply Chain -- 3.5 Role of Sensors in Sustainable Agri-Food Supply Chain -- 3.6 Role of Wearable Technologies in Sustainable Agri-Food Supply Chain -- 3.7 Role of 3D Food Printing in Agri-Food Sustainable Supply Chain -- 4 Review of Literature -- 5 Methodology -- 6 Results and Discussion -- 6.1 Perceived Challenges for Adoption of Smart Technologies -- 6.2 Perceived Benefits from Smart Technologies -- 6.2.1 Cost-Efficient -- 6.2.2 Lead Time Reduction -- 6.2.3 Decrease Inventory Loss -- 6.2.4 Responsive -- 6.2.5 Reduce Uncertainty -- 6.2.6 Proper Coordination -- 6.2.7 Reduce Bullwhip Effect -- 6.2.8 Increase in Whole Supply Chain Surplus -- 6.2.9 Competitive Advantage -- 6.2.10 Creating Value for the Consumer -- 6.2.11 Providing the Longevity -- 6.2.12 Protecting the Environment -- 6.2.13 Reducing Waste -- 6.2.14 Society Upliftment -- 6.3 Strategies for Implementation of Sustainable Agri-Food Supply Chain -- 6.3.1 Convincing Stakeholders 6.3.2 Recruiting More Technical Staff -- 6.3.3 Provide Training to Existing Staff -- 6.3.4 Profit Distribution Based on Revenue Generation -- 6.3.5 Focus to Secure the Data -- 6.3.6 Government Approval -- 7 Conclusion -- Annexure -- References -- Wireless Sensors' Location for Smart Transportation in the Context of Industry 4.0 -- 1 Introduction -- 2 Literature Review -- 3 Wireless Sensor Networks for Transportation -- 3.1 Single-Commodity Network Flow -- 3.2 The Flow Formulation Model with Fuzzy Restriction on the Number of Sinks -- 3.3 The Flow Formulation Model with Fuzzy Restriction on Budget -- 3.3.1 Overview on Fuzzy Mathematical Programming -- 3.4 A Parametric Solution Approach -- 3.4.1 Solving the Flow Formulation with Restriction on the Number of Sinks -- 3.4.2 Solving the Flow Formulation Model with Fuzzy Restriction on Budget -- 3.4.3 An Alternative p-Median Formulation -- 3.5 Locating Sinks Under Fuzzy Constraints -- 4 Observability and Sensor Location Problem on Highway Segments -- 4.1 Problem Statement -- 4.2 Nonlocal Conservation Law Model -- 4.2.1 The Microscopic Model for Nonlocal Conservation Law -- 4.3 Observability of the Traffic Flow System -- 5 Conclusion -- References -- Barriers in Smart Green Resilient Lean Manufacturing: An ISM Approach -- 1 Background Literature -- 1.1 Smart Manufacturing -- 1.2 Green Manufacturing -- 1.3 Resilient Manufacturing -- 1.4 Lean Manufacturing -- 2 Research Gaps -- 3 Barriers to SGRLM -- 3.1 Lack of Expertise and Training Programs (B1) -- 3.2 Unsupportive Organization Culture and Resistance to Change (B2) -- 3.3 Lack of Management Involvement (B3) -- 3.4 Lack of Time and Resources (B4) -- 3.5 Financial Constraints (B5) -- 3.6 Lack of Regulations and Government Support (B6) -- 3.7 Ineffective Communication(B7) -- 3.8 Lack of Visibility (B8) -- 3.9 Customer Unawareness and Low Demand (B9) 3.10 Lack of Planning (B10) -- 3.11 Lack of Metrics for SGRLM (B11) -- 3.12 Technological Constraints (B12) -- 4 Research Methodology -- 5 Interpretive Structural Modelling (ISM) -- 5.1 SSIM Development -- 5.2 Initial Reachability Matrix Formation -- 5.3 Final Reachability Matrix Formation -- 5.4 Level Partitions -- 5.5 Formation of ISM-Based Model -- 6 MICMAC Analysis -- 7 Results and Discussion -- 8 Conclusion -- References -- Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain and Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Secure Model for Records Traceability in Airline Supply Chain Based on Blockchain -- 3.1 Authentication Process for ASCM System -- 3.2 Consensus Process for ASCM System -- 3.3 Security Modules for Anomaly Detection and Securing Transactions -- 4 Discussion and Implications -- 5 Conclusion -- References -- The Role of IoT and IIoT in Supplier and Customer Continuous Improvement Interface -- 1 Introduction -- 2 Scenario and Background with Building the Interface Model -- 2.1 TQM Process with PDCA Cycle -- 2.2 Voice of Producer and Voice of Customer -- 2.3 Industrial Internet of Things (IIoT) and B2B -- 2.4 Internet of Things (IoT) and B2C -- 3 Discussion and Conclusions -- References -- Customer Relationship Management in the Digital Era of Artificial Intelligence -- 1 Introduction -- 2 Literature Review -- 3 Digital Transformation of Organizations and Sustainability -- 4 Integration of AI with CRM -- 5 Application of AI in CRM -- 6 AI Algorithm and Related Data Mining -- 7 Optimization of Business Operations Using AI-CRM -- 7.1 Customer Service and Retention of Customers -- 7.2 Automate the Routine Tasks -- 7.3 Guidance to the Sales Team -- 7.4 Virtual Assistance -- 7.5 Prioritization, Lead Customization, and Appropriate Representation -- 8 Examples of AI-CRM. 9 Implication of This Study Business logistics-Technological innovations Industry 4.0 |
| title | Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance |
| title_auth | Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance |
| title_exact_search | Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance |
| title_full | Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance |
| title_fullStr | Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance |
| title_full_unstemmed | Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance |
| title_short | Digital Transformation and Industry 4. 0 for Sustainable Supply Chain Performance |
| title_sort | digital transformation and industry 4 0 for sustainable supply chain performance |
| topic | Business logistics-Technological innovations Industry 4.0 |
| topic_facet | Business logistics-Technological innovations Industry 4.0 |
| work_keys_str_mv | AT kamblesachins digitaltransformationandindustry40forsustainablesupplychainperformance AT morrahuls digitaltransformationandindustry40forsustainablesupplychainperformance AT belhadiamine digitaltransformationandindustry40forsustainablesupplychainperformance |