Global supply chain and operations management: a decision-oriented introduction to the creation of value
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Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
2021
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Ausgabe: | Third edition |
Schriftenreihe: | Springer Texts in Business and Economics
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | xxxi, 673 Seiten Illustrationen |
ISBN: | 9783030723309 |
ISSN: | 2192-4341 |
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Contents Part I 1 2 Introduction to Supply Chain and Operations Management Basics of Supply Chain and Operations Management. 1.1 Introductory Case Study: The Magic Supply Chain and the Best Operations Manager. 1.2 Basic Definitions and Decisions. 1.2.1 The Transformation Process, Value Creation, and Operations Function. 1.2.2 Supply Chain Management. 1.2.3 Decisions in Supply Chain and Operations Management. 1.3 Careers and Future Challenges in Supply Chain and Operations Management. 1.4 KeyPoints. Bibliography. Examples from Different Industries, Services, and Continents. . 2.1 Examples of Operations and Supply Chains in Manufacturing. 2.1.1 Nike: Sourcing Strategy in the Integrated Supply Chain. 2.1.2 Dangote Cement: Establishing Sophisticated Supply Chain Management in Africa. 2.1.3 Tesla
Gigafactory. 2.2 Examples of Operations and Supply Chains in Services. 2.2.1 SCOM in Restaurants: Case Study Starbucks Corporation. 2.2.2 Operations Management at Airport Madrid/Barajas . 2.2.3 Operations Issues in Car Sharing. 2.3 Examples of Digital Supply Chains and Smart Operations. 2.3.1 Amazon Robots. 2.3.2 Adidas “Speedfactory”: 3D Printing and Industry 4.0 in Supply Chain and Operations Management. 3 4 5 5 9 10 13 17 18 21 21 21 23 26 27 27 28 31 32 32 33 XV
xvi Contents Predictive Analytics and Machine Learning: Rue La La and Pharmapacks. 34 2.3.4 Ocado: Artificial Intelligence and Machine Learning for Vehicle Routing, Warehouse Management, and Demand Forecasting. 35 2.4 Examples of Resilient Supply Chains and Operations. 2.4.1 Ford: Repurposing the Supply Chain in a Week: From Car Manufacturing to Saving Lives During the COVID-19 Pandemic. 36 2.4.2 Toyota: Supply Chain Disruption Management. 2.4.3 Time-Critical Supply Chains: Disaster Management and Humanitarian Logistics. 38 2.4.4 Resilient Sourcing Strategy Adoption at AGCO Corporation: Reacting to COVID-19 Virus Outbreak. 40 2.5 Examples of Sustainable Supply Chains and Operations. 2.5.1 Circular Supply Chain at Unilever. 2.5.2 Coca-Cola’ Sustainable Supply Chain. Bibliography. ■. 2.3.3 3 Processes, Systems, and Models. 3.1 Introductory Case Study: AirSupply. 3.1.1 E-procurement. 3.1.2 Vendor-Managed Inventory. 3.1.3 Implementation. 3.2 Business
Process Management. . 3.2.1 Process Optimization and Reengineering. 3.2.2 Business Process Modeling. 3.3 Management Information Systems. 3.3.1 Role of Information Technology in Supply Chain and Operations Management. 3.3.2 Types of Management Information Systems. 3.3.3 Management Information Systems and Organization . . 3.3.4 ERP Systems. ;. 3.3.5 APS Systems. 3.3.6 SCEM and RFID. 3.3.7 Business Analytics and E-Business. 3.4 Problem Solving Methods and Research Methodologies. 3.4.1 Problems, Systems, and Decision-Making. 3.4.2 Models and Modeling. 3.4.3 Model-Based Decision-Making. 3.4.4 Quantitative Models and Operations Research. 3.4.5 Integrated Decision-Making Support. 3.4.6 Research Methodologies. . 3.5 Integration of Business Analytics, Simulation, and Optimization. 78 36 37 42 42 43 44 49 49 50 51 53 53 53 56 57 57 58 59 60 61 63 64 67 67 70 71 73 75 76
Contents xvii 3.6 KeyPoints. Bibliography. Part II 80 81 Designing Operations and Supply Network: Strategic Perspective 4 Operations and Supply Chain Strategy. 87 4.1 Introductory Case Study. “Quick and Affordable” Zara, UNIQLO Primark. . 87 4.1.1 Zara’s Three Success Factors: Speed, Speed, and Speed. 87 4.1.2 UNIQLO: Basic, Casual Wear at Top Quality. 89 4.1.3 Primark: It Is All About Money. 90 4.2 Operations and Supply Chain Strategies. . 91 4.2.1 Value Added and Costs. 91 4.2.2 Operations Strategies. 92 4.2.3 Supply Chain Strategies and “Strategic Fit”. 92 4.3 Supply Chain Coordination. 94 4.3.1 Bullwhip Effect. 94 4.3.2 Vendor-Managed Inventory. 97 4.3.3 Collaborative Planning, Forecasting, and Replenishment. 101 4.3.4 Supply Chain Contracting. 102 4.3.5
Vertical Integration vs. Horizontal Coordination. 103 4.4 Supply Chain Resilience and Sustainability. 104 4.4.1 Supply Chain Sustainability and Closed-Loop Supply Chain. 104 4.4.2 Supply Chain Risks, Resilience, and Ripple Effect. . . 107 4.5 Supply Chain Viability. 112 4.5.1 Viable Supply Chain and Value Network Ecosystem. 112 4.5.2 Reconfigurable Supply Chain. 115 4.5.3 Intertwined Supply Networks. 117 4.6 KeyPoints. 118 Bibliography. 118 5 Sourcing Strategy. 5.1 Introductory Case Study: SustainableSupplier Management at Samsung. 5.2 Sourcing Process and Principles. 5.2.1 Procurement, Purchasing, and Sourcing. 5.2.2 Sourcing Process. 5.2.3 Make-or-Buy and Outsourcing. 5.2.4 Organization of
Sourcing Processes. 125 125 127 127 129 131 133
xviii 6 7 Contents 5.3 Sourcing Strategies. 5.3.1 Single vs. Dual and Multiple Sourcing. 5.3.2 Local vs. Global Sourcing. 5.3.3 Just-in-Time. 5.4 Supplier Relationship Management. 5.4.1 Strategic Supplier Analysis. 5.4.2 Supplier Selection. . 5.4.3 Supplier Integration and Development. 5.5 Key Points. Bibliography. 134 134 135 138 139 139 142 144 145 146 Production Strategy. 6.1 Introductory Case Study: DELL vs. Lenovo. 6.2 Postponement and Modularization. . 6.2.1 Problem: Mass Production or Product Customization. 6.2.2 Principles: Postponement and Modularization. 6.2.3 Examples of Postponement Strategies. 6.2.4 Repurposing. . 6.3 Push-Pull Views and Order Penetration
Point. 6.4 Selection of a Production Strategy. 6.4.1 Types of Production Strategies. . 6.4.2 Method: Lost-Sales Analysis. 6.5 Key Points. Bibliography. 149 149 153 Facility Location Planning and Network Design. 7.1 Introductory Case Study: Power Pong Sports. 7.2 Supply Chain Design Framework. 7.3 Global Supply Chain Design. 7.3.1 Warehouse Location Problem and Its Formalization. . 7.3.2 A Spreadsheet Approach to the WLP. 7.3.3 Branch- -Bound: How the Solver Add-In Works. 7.3.4 Capacitated WLP. . 7.4 Regional Facility Location. 7.4.1 Management Problem Description. 7.4.2 A Mathematical Model of the Decision Situation. 7.4.3 Solving the Mathematical Model: Center-of-Gravity Approach. 7.5 Factor-Ranking Analysis. 7.5.1 Case-Study OTLG
Germany. 7.5.2 Factor-Rating Method. 7.5.3 Utility Value Analysis. 7.6 Combining Optimization and Simulation in Supply Chain Design. 214 153 154 155 157 158 160 160 165 167 168 171 172 174 176 176 179 185 190 197 197 198 199 205 205 208 210
Contents 7.7 Resilient, Sustainable, and Viable Supply Chain Design. 7.8 KeyPoints. Bibliography. xix 216 218 220 8 Distribution and Transportation Network Design. 223 8.1 Introductory Case Study: Designing a Distribution Network. . . 224 8.2 Generic Transport Network Structures. 226 8.3 Realizing Economies of Scale in Transportation. 228 8.3.1 Consolidation of Shipments. 228 8.3.2 Postponement. 231 8.3.3 Milk-Runs. 231 8.3.4 Transshipment. . 233 8.4 Trade-Off-Based Transportation Network Design. 238 8.5 Capacity Allocation in a Many-to-Many Network. 241 8.5.1 The Transportation Problem. 242 8.5.2 Decision Model. 243 8.5.3 Finding the First Feasible Model Solution. 244 8.5.4 Optimality Check. . 249 8.5.5 Solution Improvement. 251 8.6 Distribution Network Design.
255 8.6.1 Types of Distribution Networks. 255 8.6.2 Case Study: Seven-Eleven Japan. 258 8.6.3 Transportation Modes. 260 8.7 Key Points. 263 Bibliography. 263 9 Factory Planning and Process Design. 9.1 Introductory Case Study: Factory Planning at Tesla. 9.2 Factory Planning. 9.2.1 Role of Factory Planning in SCOM. 9.2.2 Processes of Factory Planning. 9.3 Capacity Planning. 9.3.1 Queuing Theory. 9.3.2 Little’s Law. 9.3.3 Bottleneck Analysis/Theoryof Constraints. 9.3.4 Drum, Buffer, Rope. 9.3.5 Break-Even Analysis. 9.3.6 Decision Trees. 9.3.7 Simulation: Case-Study AnyLogic. 9.4 Process Flow
Structures. 9.4.1 Job Shop. 9.4.2 Batch Shop. 9.4.3 Assembly Line. 9.4.4 Continuous Flow. 9.4.5 Product-Process Matrix. 267 267 268 268 269 274 275 279 284 285 285 288 290 291 292 292 293 298 298
Contents XX 10 9.5 Lean Production Systems. 9.5.1 Lean Thinking. 9.5.2 Lean Production Principles. 9.5.3 Lean Supply Chain. 9.6 Key Points and Discussion Questions. Bibliography. 299 299 301 306 308 311 Layout Planning. 10.1 Introductory Case Study: OTLG Ludwigsfelde. 10.2 Layout Planning in Manufacturing. 10.2.1 Fixed Position Layout. 10.2.2 Process Flow Layout. 10.2.3 Product Flow Layout. 10.2.4 Cell-Based Layout. 10.3 . Layout Planning in Warehouses. 10.3.1 Incoming Area. 10.3.2 Storage Area. 10.3.3 Put-Away and Order Pick-Up. 10.3.4 Layout Concepts. 10.4 Methods of Layout
Planning. 10.4.1 REL-Charts. 10.4.2 Quadratic Assignment Problem. . 10.4.3 Simulation: Modeling Operations at Pharmaceutical Distribution Warehouses withAnyLogic. 10.5 Key Points. 10.6 Discussion. Bibliography. 315 315 316 317 318 321 324 326 327 327 328 328 330 330 332 Part III 11 334 335 336 337 Matching Demand and Supply: Tactical and Operative Planning Demand Forecasting. 11.1 Introductory Case Study. 11.2 Forecasting Process and Methods. . 11.2.1 The Forecasting Process and Time Horizons. 11.2.2 Forecasting Methods. 11.2.3 Forecasting Quality. 11.3 Statistical Methods. 11.3.1 Linear Regression. 11.3.2 Moving Average. 11.3.3 Simple Exponential
Smoothing. 11.3.4 Double Exponential Smoothing. 11.4 Key Points and Outlook. Bibliography. 341 341 344 344 346 348 349 349 351 353 354 355 356
Contents 12 13 xxi 359 Production and Material Requirements Planning. 12.1 Introductory Case Study: Integrated Operations and Supply Chain Planning. 359 12.2 Planning Horizons/MRP-Π. 12.3 Sales and Operations Planning. 12.3.1 Role of Sales and Operations Planning. 12.3.2 Options for Aggregate Planning. 12.3.3 Methods for Aggregate Planning. 12.4 Sales and Production Planning with Linear Programing. 12.4.1 Problem Description. 12.4.2 Method: Linear Programming. 12.4.3 Graphical Solution. 12.5 Master Production Schedule and Rolling Planning. 12.5.1 Master Production Schedule. 12.5.2 Rolling Planning. 12.6 Material Requirements Planning. 12.6.1 Bill-of-Materials. 12.6.2 MRP Calculation. 12.7 Key Points.
Bibliography. 361 363 363 364 366 368 368 369 371 373 373 374 375 376 378 381 383 Inventory Management. 13.1 Introductory Case Study: Amazon, Volkswagen, andDELL. . . 13.2 Role, Functions, and Types of Inventory. 13.3 Material Analysis. 13.3.1 ABC Analysis. 13.3.2 XYZ Analysis. 13.4 Deterministic Models. 13.4.1 EOQ Model. 13.4.2 EOQ Model with Discounts. 13.4.3 EPQ Model. 13.4.4 Reorder Point. 13.5 Stochastic Models. 13.5.1 Service Level and Safety Stock. 13.5.2 Single Period Systems (“Newsvendor Problem”). ■ · · 13.5.3 Safety Stock and Transportation Strategy. 13.6 Inventory Control Policies. 13.6.1 Fixed Parameters. 13.6.2 Dynamic
View. 13.7 Dynamic Lot-Sizing Models. 13.7.1 Least Unit Cost Heuristic. 13.7.2 Silver-Meal Heuristic. 13.7.3 Wagner-Whitin Model. 13.8 Aggregating Inventory. 13.9 ATP/CTP. 385 385 386 388 388 391 393 395 399 400 401 402 403 409 410 412 413 417 418 419 420 421 423 426
Contents xxii 14 13.10 Measuring Inventory Performance. 13.11 Key Points and Outlook. Bibliography. 427 430 432 Routing and Scheduling. 14.1 Introductory Case Study: RED SEA BUS TRAVEL. 14.2 Shortest Paths in a Network. 14.2.1 Outline of the Shortest Path Problem in a Network. . . 14.2.2 Mathematical Graphs. 14.2.3 The SPP as Graph-Based Optimization Model. 14.2.4 Dijkstra’s Algorithm for the Identification of a Shortest S-T-Path. 440 14.3 Round Trip Planning/Traveling Salesman Problem. 14.3.1 Traveling Salesman Problem. 14.3.2 A Mixed-Integer Linear Program for TSP-Modeling. . 14.3.3 Heuristic Search for High-Quality Round Trips. 14.4 Vehicle Routing. 14.4.1 Case Study ORION: Vehicle Routing at UPS. 14.4.2 Decision Situation Outline. 14.4.3 Current Approach for the Route Compilation. 14.4.4 Capacitated Vehicle Routing Problem. 14.4.5 The Sweep Algorithm.
14.5 Machine Scheduling. 14.5.1 The Problem of Scheduling a Machine. 14.5.2 Priority Rule-Based Scheduling. 14.5.3 Scheduling Algorithm of Moore. 14.5.4 Scheduling Two Machines in a Flow Shop. 14.5.5 Further Challenges in Machine Scheduling. 14.6 Key Points. Bibliography. 435 436 437 437 439 439 Part IV 15 444 444 447 449 456 456 458 459 462 464 468 469 472 474 476 477 479 480 Advanced Topics in Supply Chain and Operations Management Supply Chain Risk Management and Resilience. 15.1 Introductory Case-Study: Capacity Disruption at BASF. 15.2 Uncertainty and Risks. 15.3 Risk Management in the Supply Chain. 15.3.1 Risk Classification. 15.3.2 General Framework of Risk Management in the Supply Chain. 492 15.4 Operational and Disruption Risks. 15.5 Ripple Effect in the Supply Chain. 15.6 Supply Chain
Resilience. 15.6.1 Resilience Framework. 15.6.2 Costs of Resilience. 485 485 486 488 488 493 496 498 498 501
Contents 16 xxiii 15.7 KPI for Supply Chain Risk. 15.7.1 Operational Risks. 15.7.2 Disruption Risks. 15.7.3 Ripple Effect Quantification. 15.8 Super Disruptions and Supply Chain Viability. 15.8.1 Super Disruptions. 15.8.2 Supply Chain Viability. 15.9 Key Points and Discussion Questions. Bibliography. 505 505 506 507 511 511 512 514 515 Digital Supply Chain, Smart Operations and Industry 4.0. 16.1 Introductory Case Study: SupplyOn. 16.2 SCOM Excellence and Digitalization. 16.2.1 Operational Excellence. 16.2.2 From Operational Excellence to SCOM Excellence. . . 16.2.3 Digitalization as New Driver in SCOM Excellence. . 16.2.4 Digital SCOM Excellence Framework. 16.3 Development of Technology in SCOM. 16.3.1 Three Industrial Revolutions and Industry 4.0 Formation. 16.3.2 Fourth Industrial Revolution: Industry 4.0. 16.3.3 Internet of
Things. 16.3.4 Cyber-Physical Systems. 16.3.5 Smart, Connected Products. 16.3.6 Smart Supply Chains and Smart Value-Adding Networks. 16.4 Digital SCOM Framework. 16.5 Digital Technology in the “Plan” Processes. 16.5.1 Big Data Analytics. 16.5.2 The Digital Twin. 16.6 Digital Technology in “Source” Processes. 16.6.1 eProcurement. 16.6.2 Supplier Collaboration Portals. 16.6.3 Digital Trends for Excellence in Sourcing. 16.6.4 Blockchain. 16.6.5 Robotic Process Automation and Artificial Intelligence in Procurement. 16.7 Digital Technology in “Make” Processes. 16.7.1 3D Printing and Additive Manufacturing. 16.7.2 Virtual Reality and Augmented Reality. 16.7.3 Robotics. 16.8 Digital Technology in the “Delivery” Processes. 16.8.1 Drones or
Unmanned Aerial Vehicles. 16.8.2 Smart Driverless Transportation Systems. 16.8.3 Smart Forklifts, Pallet Movers, and Cranes. 521 521 523 523 524 524 526 527 527 532 535 535 536 537 538 539 539 540 543 544 544 545 546 547 549 549 553 554 557 557 558 559
xxiv Contents Qualitative and Quantitative Potential of Digital Technology in SCOM. 561 16.9.1 Qualitative Improvements of Digital SCOM. 16.9.2 Quantitative Potential Assessments of Digital SCOM. 16.9.3 Possible Obstacles and Limitations of Digital SCOM. 16.10 Key Points and Discussion Questions. 16.11 Case Study “Smart Usage of Big Data Along the Supply Chain: Big Data Analytics Between Companies, Value-Added and the Impact of Risk and Complexity Management”. Bibliography. 16.9 17 18 563 563 564 566 570 573 Pricing and Revenue«Oriented Capacity Allocation. 17.1 · Case Study: FRISIA COASTAL SHIPPING: The Story of Jördis and Tjark. 585 17.2 Noncompetitive Pricing. 17.3 Pricing with Scarce Capacities. 17.4 Setting Optimal Prices in Resource Networks. 17.5 Dynamic Pricing: Pricing in Reaction to Observed Market Developments. 603 17.5.1 Business Extension by Coastal Tours. 17.5.2 Decision Situation
Modeling. 17.5.3 Pricing and Capacity Distribution over the Sales Period. 17.5.4 Summary of Dynamic Pricing. 17.6 Pricing Lessons Learned and Open Issues. Bibliography. 583 Yield Management. 18.1 Flying on Rail Tracks Across Europe. 18.2 Sales Operations by FORTE-RailServices. 18.3 Yield Management: Requirements and Opportunities. 18.3.1 Requirements. 18.3.2 Opportunities. 18.4 Challenges Associated with Yield Management. 18.4.1 Deciding upon the Opening and Closure of a Booking Class. 634 18.4.2 Network-Based Products. 18.4.3 Uncertainty of Demand. 18.4.4 Dynamicity—Nesting and Protection. 18.5 Static Decision Tasks in Yield Management. 18.5.1 Single Resource Situation. 18.5.2 Resource Networks. 18.5.3 From
Quotas to Booking Limits. . 625 626 628 631 631 632 633 588 594 599 605 610 612 621 622 623 635 636 637 639 639 642 645
Contents XXV Dynamic Yield Management. 18.6.1 Core Procedure for Online Decisions About Acceptance and Rejection. 648 18.6.2 Bid-Price-Oriented Demand Stream Handling. 18.6.3 Indirect Control and Booking Limit Adaptation. 18.7 Yield Management Lessons Learned and Open Issues. 18.7.1 Summary of LessonsLearned. 18.7.2 Further Aspects of Yield Management. Bibliography. 649 650 656 656 657 657 Appendix: Case-Study “Re-designing the Material Flow in a Global Manufacturing Network”. 659 Index. 667 18.6 648 |
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id | DE-604.BV048218569 |
illustrated | Illustrated |
index_date | 2024-07-03T19:50:07Z |
indexdate | 2024-11-11T09:01:59Z |
institution | BVB |
isbn | 9783030723309 |
issn | 2192-4341 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033599335 |
oclc_num | 1303923926 |
open_access_boolean | |
owner | DE-N2 DE-188 DE-355 DE-BY-UBR |
owner_facet | DE-N2 DE-188 DE-355 DE-BY-UBR |
physical | xxxi, 673 Seiten Illustrationen |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Springer |
record_format | marc |
series2 | Springer Texts in Business and Economics |
spelling | Ivanov, Dmitry 1978- Verfasser (DE-588)131871692 aut Global supply chain and operations management a decision-oriented introduction to the creation of value Dmitry Ivanov, Alexander Tsipoulanidis, Jörn Schönberger Third edition Cham Springer 2021 xxxi, 673 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Springer Texts in Business and Economics 2192-4341 Operations Management Operations Research/Decision Theory Supply Chain Management Production management Operations research Decision making Business logistics Logistik (DE-588)4036210-3 gnd rswk-swf Operative Planung (DE-588)4135248-8 gnd rswk-swf Supply Chain Management (DE-588)4684051-5 gnd rswk-swf Controlling (DE-588)4070102-5 gnd rswk-swf Logistik (DE-588)4036210-3 s Supply Chain Management (DE-588)4684051-5 s Controlling (DE-588)4070102-5 s Operative Planung (DE-588)4135248-8 s DE-604 Tsipoulanidis, Alexander Verfasser (DE-588)1110982313 aut Schönberger, Jörn 1973- Verfasser (DE-588)1020884118 aut Erscheint auch als Online-Ausgabe 978-3-030-72331-6 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033599335&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Ivanov, Dmitry 1978- Tsipoulanidis, Alexander Schönberger, Jörn 1973- Global supply chain and operations management a decision-oriented introduction to the creation of value Operations Management Operations Research/Decision Theory Supply Chain Management Production management Operations research Decision making Business logistics Logistik (DE-588)4036210-3 gnd Operative Planung (DE-588)4135248-8 gnd Supply Chain Management (DE-588)4684051-5 gnd Controlling (DE-588)4070102-5 gnd |
subject_GND | (DE-588)4036210-3 (DE-588)4135248-8 (DE-588)4684051-5 (DE-588)4070102-5 |
title | Global supply chain and operations management a decision-oriented introduction to the creation of value |
title_auth | Global supply chain and operations management a decision-oriented introduction to the creation of value |
title_exact_search | Global supply chain and operations management a decision-oriented introduction to the creation of value |
title_exact_search_txtP | Global supply chain and operations management a decision-oriented introduction to the creation of value |
title_full | Global supply chain and operations management a decision-oriented introduction to the creation of value Dmitry Ivanov, Alexander Tsipoulanidis, Jörn Schönberger |
title_fullStr | Global supply chain and operations management a decision-oriented introduction to the creation of value Dmitry Ivanov, Alexander Tsipoulanidis, Jörn Schönberger |
title_full_unstemmed | Global supply chain and operations management a decision-oriented introduction to the creation of value Dmitry Ivanov, Alexander Tsipoulanidis, Jörn Schönberger |
title_short | Global supply chain and operations management |
title_sort | global supply chain and operations management a decision oriented introduction to the creation of value |
title_sub | a decision-oriented introduction to the creation of value |
topic | Operations Management Operations Research/Decision Theory Supply Chain Management Production management Operations research Decision making Business logistics Logistik (DE-588)4036210-3 gnd Operative Planung (DE-588)4135248-8 gnd Supply Chain Management (DE-588)4684051-5 gnd Controlling (DE-588)4070102-5 gnd |
topic_facet | Operations Management Operations Research/Decision Theory Supply Chain Management Production management Operations research Decision making Business logistics Logistik Operative Planung Controlling |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033599335&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT ivanovdmitry globalsupplychainandoperationsmanagementadecisionorientedintroductiontothecreationofvalue AT tsipoulanidisalexander globalsupplychainandoperationsmanagementadecisionorientedintroductiontothecreationofvalue AT schonbergerjorn globalsupplychainandoperationsmanagementadecisionorientedintroductiontothecreationofvalue |