Adaptive Supply Chain Management:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London
Springer London
2010
|
| Subjects: | |
| Online Access: | BTU01 FHI01 FHN01 FHR01 Volltext |
| Item Description: | The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support. Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance. Particular highlights include: • an understanding of supply chain performance as a composition of profitability and global stability; • the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics; • a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and • supply chains modelled as dynamic multi-structural active systems. Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations |
| Physical Description: | 1 Online-Ressource (XXXII, 269 p) |
| ISBN: | 9781848829527 |
| DOI: | 10.1007/978-1-84882-952-7 |
Staff View
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| 500 | |a The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support. Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance. Particular highlights include: • an understanding of supply chain performance as a composition of profitability and global stability; • the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics; • a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and • supply chains modelled as dynamic multi-structural active systems. Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations | ||
| 505 | 0 | |a Evolution of Supply Chain Management (SCM) -- Conceptual Frameworks for Supply Chain Management -- Decision-making Support for Supply Chain Management -- Challenges in Research on Modern and Future Supply Chains -- Uncertainty, Risk and Complexity -- Handling Uncertainty in Supply Chains -- STREAM: Stability-based Realization of Economic Performance and Management -- Quantitative Modelling of Supply Chains -- DIMA – Decentralized Integrated Modelling Approach -- Structure Dynamics Control and Multi-model Analysis -- Adaptive Planning of Supply Chains -- Modelling Operations Dynamics, Planning and Scheduling -- Supply Chain Reconfiguration and Models’ Adaptation -- Models of Supply Chain Global Stability and Manageability -- Experimental Environment | |
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Industrial engineering | |
| 650 | 4 | |a System safety | |
| 650 | 4 | |a Business logistics | |
| 650 | 4 | |a Quality Control, Reliability, Safety and Risk | |
| 650 | 4 | |a Industrial and Production Engineering | |
| 650 | 4 | |a Production/Logistics | |
| 650 | 4 | |a Ingenieurwissenschaften | |
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Record in the Search Index
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| any_adam_object | |
| author | Ivanov, Dmitry |
| author_facet | Ivanov, Dmitry |
| author_role | aut |
| author_sort | Ivanov, Dmitry |
| author_variant | d i di |
| building | Verbundindex |
| bvnumber | BV041889627 |
| classification_rvk | QP 530 |
| collection | ZDB-2-ENG |
| contents | Evolution of Supply Chain Management (SCM) -- Conceptual Frameworks for Supply Chain Management -- Decision-making Support for Supply Chain Management -- Challenges in Research on Modern and Future Supply Chains -- Uncertainty, Risk and Complexity -- Handling Uncertainty in Supply Chains -- STREAM: Stability-based Realization of Economic Performance and Management -- Quantitative Modelling of Supply Chains -- DIMA – Decentralized Integrated Modelling Approach -- Structure Dynamics Control and Multi-model Analysis -- Adaptive Planning of Supply Chains -- Modelling Operations Dynamics, Planning and Scheduling -- Supply Chain Reconfiguration and Models’ Adaptation -- Models of Supply Chain Global Stability and Manageability -- Experimental Environment |
| ctrlnum | (OCoLC)699586301 (DE-599)BVBBV041889627 |
| dewey-full | 658.56 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.56 |
| dewey-search | 658.56 |
| dewey-sort | 3658.56 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-1-84882-952-7 |
| format | Electronic eBook |
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| id | DE-604.BV041889627 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:07:32Z |
| institution | BVB |
| isbn | 9781848829527 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027333581 |
| oclc_num | 699586301 |
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| physical | 1 Online-Ressource (XXXII, 269 p) |
| psigel | ZDB-2-ENG |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Springer London |
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| spelling | Ivanov, Dmitry Verfasser aut Adaptive Supply Chain Management by Dmitry Ivanov, Boris Sokolov London Springer London 2010 1 Online-Ressource (XXXII, 269 p) txt rdacontent c rdamedia cr rdacarrier The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support. Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance. Particular highlights include: • an understanding of supply chain performance as a composition of profitability and global stability; • the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics; • a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and • supply chains modelled as dynamic multi-structural active systems. Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations Evolution of Supply Chain Management (SCM) -- Conceptual Frameworks for Supply Chain Management -- Decision-making Support for Supply Chain Management -- Challenges in Research on Modern and Future Supply Chains -- Uncertainty, Risk and Complexity -- Handling Uncertainty in Supply Chains -- STREAM: Stability-based Realization of Economic Performance and Management -- Quantitative Modelling of Supply Chains -- DIMA – Decentralized Integrated Modelling Approach -- Structure Dynamics Control and Multi-model Analysis -- Adaptive Planning of Supply Chains -- Modelling Operations Dynamics, Planning and Scheduling -- Supply Chain Reconfiguration and Models’ Adaptation -- Models of Supply Chain Global Stability and Manageability -- Experimental Environment Engineering Industrial engineering System safety Business logistics Quality Control, Reliability, Safety and Risk Industrial and Production Engineering Production/Logistics Ingenieurwissenschaften Supply Chain Management (DE-588)4684051-5 gnd rswk-swf Supply Chain Management (DE-588)4684051-5 s 1\p DE-604 Sokolov, Boris Sonstige oth Erscheint auch als Druckausgabe 978-1-84882-951-0 https://doi.org/10.1007/978-1-84882-952-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ivanov, Dmitry Adaptive Supply Chain Management Evolution of Supply Chain Management (SCM) -- Conceptual Frameworks for Supply Chain Management -- Decision-making Support for Supply Chain Management -- Challenges in Research on Modern and Future Supply Chains -- Uncertainty, Risk and Complexity -- Handling Uncertainty in Supply Chains -- STREAM: Stability-based Realization of Economic Performance and Management -- Quantitative Modelling of Supply Chains -- DIMA – Decentralized Integrated Modelling Approach -- Structure Dynamics Control and Multi-model Analysis -- Adaptive Planning of Supply Chains -- Modelling Operations Dynamics, Planning and Scheduling -- Supply Chain Reconfiguration and Models’ Adaptation -- Models of Supply Chain Global Stability and Manageability -- Experimental Environment Engineering Industrial engineering System safety Business logistics Quality Control, Reliability, Safety and Risk Industrial and Production Engineering Production/Logistics Ingenieurwissenschaften Supply Chain Management (DE-588)4684051-5 gnd |
| subject_GND | (DE-588)4684051-5 |
| title | Adaptive Supply Chain Management |
| title_auth | Adaptive Supply Chain Management |
| title_exact_search | Adaptive Supply Chain Management |
| title_full | Adaptive Supply Chain Management by Dmitry Ivanov, Boris Sokolov |
| title_fullStr | Adaptive Supply Chain Management by Dmitry Ivanov, Boris Sokolov |
| title_full_unstemmed | Adaptive Supply Chain Management by Dmitry Ivanov, Boris Sokolov |
| title_short | Adaptive Supply Chain Management |
| title_sort | adaptive supply chain management |
| topic | Engineering Industrial engineering System safety Business logistics Quality Control, Reliability, Safety and Risk Industrial and Production Engineering Production/Logistics Ingenieurwissenschaften Supply Chain Management (DE-588)4684051-5 gnd |
| topic_facet | Engineering Industrial engineering System safety Business logistics Quality Control, Reliability, Safety and Risk Industrial and Production Engineering Production/Logistics Ingenieurwissenschaften Supply Chain Management |
| url | https://doi.org/10.1007/978-1-84882-952-7 |
| work_keys_str_mv | AT ivanovdmitry adaptivesupplychainmanagement AT sokolovboris adaptivesupplychainmanagement |