The digital supply chain:
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam, Netherlands
Elsevier
[2022]
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| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033752222&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | xviii, 446 Seiten Illustrationen |
| ISBN: | 9780323916141 |
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| adam_text | Contents Contributors Preface xv xvii Part I Introduction 1. The Digital Supply Chain—emergence, concepts, definitions, and technologies Bart L. MacCarthy and Dmitry Ivanov 1. 2. 3. 4. 5. 6. A transformative decade Emergence of the Digital Supply Chain 2.1 The digitalization of supply chains Building blocks for the Digital Supply Chain 3.1 Smart Factories, Smart Warehouses, andSmart Logistics 3.2 The Cloud and platforms 3.3 Analytics, Data Science, and Al 3.4 Emerging technologies—Blockchain,Digital Twins,and the Internet of Things Defining the Digital Supply Chain Many opportunities, many challenges Outline of book contents References 3 5 6 1 7 9 10 11 14 15 17 18 Part II Digital building blocks and enabling technologies 2. Digital Manufacturing: the evolution of traditional manufacturing toward an automated and interoperable Smart Manufacturing Ecosystem Dimitris Mourtzis, John Angelopoulos and Nikos Panopoulos 1. 2. 3. Introduction—the evolution of production paradigms 1.1 From Computer-Aided Manufacturing (CAM) to Computer-Integrated Manufacturing (СІМ) 1.2 Industry 4.0 and the emergence of Smart Manufacturing Systems Interoperability and automation 2.1 Interoperability and ontologies 2.2 The pyramid of industrial automation 2.3 Generic approaches to implement interoperability in smart manufacturingecosystems 2.4 The smart factory: connectivity, automation, and data 2.5 loT architectures for automation, interoperability, and monitoringof Industrial Big Data Interoperable Digital Twins and predictive maintenance in modern manufacturing 27 28 29 32 32 33 35 35 36 36 v
vi Contents 4. 5. Digitalization and smart fartories: trends and future challenges 4.1 Product lifecycle management 4.2 5G for smart manufacturing and Industry 5.0 Conclusions Glossary of acronyms References 39 39 40 40 41 41 3. Smart warehouses—a sociotechnical perspective Sven Winkelhaus and Eric H. Grosse 1. 2. 3. 4. 5. 6. The digital supply chain transforms the requirements for warehousing Warehouse management Smart warehouses: enabling technologies Order-picking in the smart warehouse Smart warehouses are sociotechnical systems Conclusions References 47 48 49 52 54 57 58 4. The Internet of Things—an emerging paradigm to support the digitalization of future supply chains Hamed Baziyad, Vahid Kayvanfar and Aseem Kinra 1. 2. 3. 4. 5. 6. 7. Introduction ” The basic concepts of loT 2.1 loT architectures 2.2 loT and CPSs Supply chain management, novel digital technologies, and loT loT applications in OM and SCM 4.1 Agri-food 4.2 Cold chains 4.3 Other manufacturing domains Future challenges for loT in the supply chain 5.1 Security and data privacy 5.2 Standards, identification, and naming services 5.3 Big data generation Perspectives on loT adoption and implementation insupply chains Conclusions, limitations, and future research Appendix A References 61 63 63 65 66 66 66 67 67 67 67 68 68 68 70 70 7ł 5. The cloud, platforms, and digital twins—Enablers of the digital supply chain Gongtao Zhang, Bart L. MacCarthy and Dmitry Ivanov 1. 2. 3. Introduction Perspectives on cloud-based systems 2.1 Defining cloud computing 2.2 Software as a service 2.3 Cloud-based Enterprise Resource
Planning (ERP) systems 2.4 Advantages and challenges for enterprises adopting cloud computing Platform technologies 3.1 Characteristics of digital platforms 3.2 Platform commerce 77 78 79 79 80 80 82 82 82
Contents 4. 5. 3.3 Platform ecosystems 3.4 Manufacturing as a Service (MaaS)—combining platforms and the cloud Digital twins 4.1 Defining a digital twin in a supply chain context 4.2 Applications of digital twins for supply chain resilience management Conclusions References vii 83 84 85 86 87 88 88 6. Algorithms, Analytics, and Artificial Intelligence: harnessing data to make supply chain decisions Xavier Brusset, Davide La Torre and Jan Broekaert 1. 2. 3. 4. 5. Introduction Current and prevalent algorithms and Al techniques 2.1 Prescriptive techniques 2.2 Predictive techniques Current Al and algorithmic applications with the most impact Potential techniques and emerging areas of applicationfor Al and algorithms Conclusion and perspectives References 93 95 96 97 103 104 106 107 7. The impact of digitalization on contemporary and future logistics Stephen Pettit, Yingli Wang and Anthony Beresford 1. 2. 3. 4. 5. Introduction Digitalization in logistics and supplychain management Cloud-based systems Emerging technologies 4.1 Platform logistics 4.2 Artificial Intelligence 4.3 Pervasive computing and Internet of Things 4.4 Digital twins 4.5 Physical Internet and Industry 4.0 4.6 Big data and Business Analytics Concluding observations and future prospects References 111 112 113 113 115 115 116 117 118 119 121 122 8. Blockchain technologies in the digital supply chain Horst Treiblmaier, Abderahman Rejeb and Wafaa A.H. Ahmed 1. 2. 3. 4. 5. Introduction Functionality of blockchain Blockchain in the academic supply chain literature 3.1 Methodology 3.2 Drivers of blockchain adoption in
logistics and SCM 3.3 Barriers to blockchain adoption in supply chains Industrial applications of blockchain Conclusion and further research References 127 128 129 129 132 134 137 140 141
viii Contents Part III Managing the Digital Supply Chain 9. Digital architectures: frameworks for supply chain data and information governance Konstantina Spanaki, Erisa Karafili and Stella Despoudi 1. 2. 3. 4. 5. 6. 7. Introduction Data as a resource—the need for data quality 2.1 Data and information management frameworks 2.2 Data and information landscapes and informationecologies Data and information architectures 3.1 Data management in cyber-physical SC environments 3.2 Data governance in the SC environments Data sharing agreements Data attributes, sharing, and access control Actors, roles, and relationships in data sharing Conclusions References 147 148 148 150 151 152 154 154 156 157 158 159 10. Supply chain traceability systems—robust approaches for the digital age Kitty Kay Chan 1. 2. 3. 4. 5. 6. 7. 8. Introduction Visibility, transparency, and traceability 2.1 Being visible and transparent 2.2 The usage of terms—traceability, traceability system, tracking, and tracing Motivations for traceability and transparency 3.1 Increasing operating efficiency 3.2 Meeting legal compliance 3.3 Managing risks 3.4 Building trust and confidence Information requirements for traceability systems 4.1 Traceability standards 4.2 Common information building blocks 4.3 Working with information in a common language Enabling technologies 5.1 Laser and camera-based system with barcodes and QR codes 5.2 Radio frequency identification and near field communication 5.3 Internet of Things and blockchain Challenges 6.1 Cybersecurity—supply chain cybersecurity and multiple-party authentication 6.2
Standards—building standards and harmonization of guidelines 6.3 Data quality—unsynchronized data and signal corruption 6.4 Integrating new technology 6.5 Competing interests among stakeholders An illustrative case: the wood supply chain 7.1 Motivation and challenge 7.2 Relevant information 7.3 Enabling technology Conclusion References 163 164 164 164 165 165 166 166 167 167 167 168 168 169 169 169 169 170 170 170 171 171 171 172 172 172 172 173 173
Contents їх 11. Digital purchasing and procurement systems: evolution and current state Karsten Cox 1. 2. 3. 4. 5. 6. Introduction—the rise of digital procurement systems The development of digital procurement systems 2.1 Early computer-assisted purchasing with MRP and spreadsheets 2.2 The integration of procurement and supply chain management through Electronic Data Inter change (EDI) and ERP 183 2.3 Characteristics of contemporary digital procurement systems—P2P and S2P 2.4 State of the art in practice Research perspectives on digitalization of procurement 3.1 Research on digital procurement systems adoption: technology readiness 3.2 The need for wider research on contemporary digital procurement systems Hitachi case study 4.1 Start of Hitachi s digital procurement system journey 4.2 Hitachi Rail Group: implementing Jaggaer 4.3 Pilot study: supporting tenders on high-speed bid projects Looking ahead: the future of digital procurementsystems 5.1 Further automation ofdigital procurement systems 5.2 The future of S2P digital procurement technology 5.3 Data integrity and cyber security in future digital procurement Conclusions References 181 182 183 184 187 187 187 188 188 188 190 191 192 193 193 194 194 194 12. Measuring and managing digital supply chain performance Ashish Kumar Jha, Nishant Kumar Verma and Indranil Bose 1. 2. 3. 4. 5. Introduction A framework forperformance management in digital supply chains 2.1 Traditional view of performance management insupply chains 2.2 Importance of data in digital supply chains 2.3 A data-driven framework for performance management
Case studies 3.1 Cisco Systems 3.2 Rameo Cements Limited 3.3 Tetra Rak Impact of emerging technologies onperformancemeasurement and management 4.1 Supply chain dashboards 4.2 Other emerging technologies Conclusions References 199 200 200 201 202 204 204 205 206 210 210 210 211 212 13. The art of cyber security in the age of the digital supply chain: detecting and defending against vulnerabilities in your supply chain Sang Yoon Cha 1. 2. 3. 4. 5. Introduction Governments, consultancies, and industry approaches Research on supply chain cyber security Research frontiers Conclusions References 215 217 221 226 227 227
x Contents Part IV Digital Supply Chain — sectoral cases 14. Digital retail—key trends and developments Lina Zhang and Mikko Hänninen 1. 2. 3. 4. 5. Introduction The reshaping of the retail value chain 2.1 Manufacturing in the retail value chain 2.2 Retailing—the emergence of the platform model 2.3 Delivery and fulfillment Platform-based retail ecosystems—thecases of Alibaba and Amazon 3.1 Alibaba Group 3.2 Amazon.com, Inc. Discussion 4.1 Transition to a platform business model with ongoing investmentin physical assets 4.2 Channel-agnostic, convenient, and personalized retail experience 4.3 Faster and flexible logistics capabilities 4.4 Manufacturing operations Conclusions References 237 238 238 239 239 240 240 245 249 249 249 250 250 251 251 15. Digitalization in the textiles and clothing secťôr Rudrajeet Pal and Amila Jayarathne 1. 2. 3. 4. 5. 6. Introduction Digital clothing design and sample development 2.1 Product design, sample development, and product lifecycle management 2.2 Wearable technology Digitalization of clothing supply and manufacturing networks 3.1 Sourcing and procurement 3.2 Production planning and manufacturing Digitalization of clothing distribution and retail formats 4.1 Distribution 4.2 Retailing Digitally enabled clothing circularity Conclusions References 255 258 258 259 259 259 261 262 262 263 265 267 268 * 16. Digitalization in production and warehousing in food supply chains Fabio Sgarbossa, Anita Romsdal, Olumide Emmanuel Oluyisola and Jan Ola Strandhagen 1. 2. 3. 4. 5. Introduction DigiMat—an innovation project betweena food supply chain and
academia Characteristics of food supply chains Introduction to cases 4.1 Case 1—smart planning and control in production 4.2 Case 2—smart material handling in production 4.3 Case 3—smart planning and control in warehousing 4.4 Case 4—smart material handling in warehousing Conclusions and future research perspective References 273 274 275 277 278 280 282 283 285 286
Contents xi 17. Automotive supply chain digitalization: lessons and perspectives Nathalie Fabbe-Costes and Lucie Lechaptois 1. 2. 3. 4. 289 290 290 291 292 293 294 296 296 299 302 304 304 304 305 305 305 Introduction Overview of SC digitalization in the automotive sector 2.1 Era 1—Industry 2.0 and fragmented operations digitalization—1950—1970s 2.2 Era 2—toward internal and local SC digitalization (local integration)—1980s 2.3 Era 3—toward extended interorganizational SC digitalization—1990s 2.4 Era 4—total integration and interconnected SCs digitalization—2000s 2.5 Era 5—Industry 4.0, full SC digitalization—from the 2010s 2.6 The coevolution of information systems and automotive supply chains Lessons from the SC digitalization of a car manufacturer 3.1 Understanding the SC digitalization strategy and processes of a car manufacturer 3.2 Lessons from the SC digitalization process experience Conclusions 4.1 What? 4.2 Why? 4.3 How? Acknowledgements References 18. Digitalization of the international shipping and maritime logistics industry: a case study of TradeLens Wafaa A.H. Ahmed and Alexa Rios 1. 2. 3. 4. 5. 6. 309 311 312 313 313 314 316 318 321 321 Introduction Methodology Digitalization in the maritime industry TradeLens: a blockchain-enabled digital solution in the shippingindustry 4.1 Background 4.2 TradeLens use cases 4.3 TradeLens SWOT analysis Impact of shipping industry digitalization on the shippingecosystem Discussion and conclusion References 19. How can SMEs participate successfully in Industry 4.0 ecosystems? Guilherme Brittes Benitez, Nestor Fabian Ayala and
Alejandro German Frank 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Introduction Supply chain technology solution provision in Industry 4.0 Methodology Starting collaboration—an Open Innovation approach for Industry 4.0 technology solution provision in supply chains Reshaping linear supply chains to become innovation ecosystems Expanding relationships—a Social Exchange view in innovation ecosystems for Industry 4.0 technology solution provision From supply chains to a platform-driven ecosystem structure Maturing technologies—a Boundary-Spanning perspective for Industry 4.0 platforms A conceptual model for Industry 4.0 technology solution provision Conclusions Acknowledgments References 325 326 327 328 329 330 332 332 334 336 337 337
xii Contents Part V Research frontiers in the Digital Supply Chain 20. Network science for the supply chain: theory methods, and empirical results Guven Demirel 1. 2. 3. 4. 5. 6. 7. Introduction An outline of supply network analysis 2.1 Data selection or generation 2.2 Network analysis software and data preprocessing 2.3 Descriptive network analysis 2.4 Mathematical, simulation, and statistical analysis Data sources for supply network analysis Network basics Structure of supply networks: theory, methods, and empirical results 5.1 Node-level network measures 5.2 Structural properties of supply networks Effects of network structure on performance 6.1 Network structure and operational and financial performance 6.2 Network structure and resilience 6.3 Supply network structure and innovation Conclusions References 343 344 344 345 345 346 346 346 347 347 353 355 355 356 357 357 358 21. Deployment considerations for implementing blockchain technology in the pharmaceutical industry Matthew Liotine 1. 2. 3. 4. 5. 6. 7. Introduction Blockchain overview Supply chain benefits of blockchain Pharmaceutical industry applications 4.1 Track and trace 4.2 Supply integrity and safety 4.3 Inventory management 4.4 Clinical trial management Pharmaceutical blockchain reference model 5.1 Implementation issues 5.2 Authenticity nonverification 5.3 Nonsaleable returns 5.4 Improper commissioning 5.5 Information flow interruption 5.6 Delivery disturbances 5.7 Unfit for commerce 5.8 Error processing 5.9 Security and confidentiality 5.10 Recall 5.11 Declared emergency 5.12 Counterfeits Scaling issue
analysis 6.1 Illustrative example 6.2 Generalized example Research areas for implementation feasibility 361 361 362 363 364 364 365 365 365 367 367 368 368 368 368 368 368 368 369 369 369 369 370 371 375
Contents 8. 7.1 Scalability and data management 7.2 Data obfuscation 7.3 Permission and access 7.4 Collaboration 7.5 Cost models 7.6 Comparative studies Summary and conclusions References xiii 375 375 375 375 375 376 376 376 22. Digital supply chain surveillance: concepts, challenges, and frameworks Alexandra Brintrup, Edward Elson Kosasih, Bart L MacCarthy and Guven Demirel 1. 2. 3. 4. 5. 6. Introduction SDAR—surveillance, detection, action, response Supply chain surveillance activities The role of AI in DSCS Challenges in the application of DSCS—anillustrative example 5.1 Problem formulation and solution approaches 5.2 Technical challenges 5.3 Managerial challenges Conclusions References 379 381 382 385 388 388 391 391 392 392 23. Sustainability and the digital supply chain Ahmad Beltagul, Breno Nunes and Stefan Gold 1. 2. 3. 4. 5. 6. 7. 8. Introduction The emergence of a digital supply chain Sustainability in the digital supply chain Building a sustainable digital supply chain Driving down urban emissions—the case of the ElectricVehicle (EV) supply chain 5.1 Historical perspective 5.2 EV supply chain (un)sustainability 5.3 Product architecture 5.4 Digital technologies in EVs and EV supply chains 5.5 Sustainability and the digital EV supply chain Global food supply chains—the case of the beef supply chain 6.1 Historical perspective 6.2 Beef supply chain (un)sustainability 6.3 Sustainable alternatives to beef production 6.4 Sustainability and the digital food supply chain Implications for theory, practice, and policy Conclusions and research agenda 8.1 Harnessing data for
sustainability evaluation 8.2 Transparent may not always mean sustainable 8.3 Tensions and paradoxes 8.4 New solutions, same problems References 397 398 399 400 401 402 402 403 404 405 405 405 408 408 409 410 412 412 413 413 413 413
Contents xiv 24. Reconceptualizing supply chain strategy for the digital era: achieving digital ambidexterity through dynamic capabilities Eric Lambourdière, Elsa Corbin and Jérôme Verny 1. 2. 3. 4. 5. 6. 7. Index Introduction Literature review 2.1 Dynamic capabilities 2.2 Organizational ambidexterity 2.3 Supply chain theory foundations and evolution 2.4 Contemporary supply chain challenges 2.5 The supply chain of the future and the shifting theoretical foundations of SCM 2.6 New digital technologies (NDTs) to create higher-order capabilities for supply chain components, processes, networks and flows (SCMCs, SCMPs, SCNSs, and SCFs) Conceptual framework and system of relationships Building digital supply chain capabilities (DSCCs) 4.1 Supply chain visibility capabilities (sensing) 4.2 Supply chain agility capabilities (seizing) 4.3 Supply chain flexibility capabilities (transforming) 4.4 Dynamic supply chain capabilities as a prerequisiteof supply chain ambidexterity 4.5 Supply chain ambidexterity and DSCCs 4.6 The relationship between DSCCs and business performance Theoretical implications—achieving digital ambidexterity Managerial implications * Conclusions and further research References 419 420 420 421 421 422 422 423 424 426 426 426 427 427 427 428 429 429 430 430 435
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| topic_facet | Digitalisierung Supply Chain Management Aufsatzsammlung |
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