Enterprise Networks and Logistics for Agile Manufacturing

1. Front Matter

   Pages i-xix

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2. Overview of Enterprise Networks and Logistics for Agile Manufacturing

   • S.C. Lenny Koh, Lihui Wang

   Pages 1-10

3. A Review of Research and Practice for the Industrial Networks of the Future

   • Rob Dekkers, David Bennett

   Pages 11-38

4. Agile Manufacturing in Complex Supply Networks

   • Henry Xu

   Pages 39-65

5. Enterprise Network and Supply Chain Structure: the Role of Fit

   • Federica Cucchiella, Massimo Gastaldi

   Pages 67-98

6. Enterprise Networks and Information and Communications Technology Standardisation

   • Elias G. Carayannis, Yiannis Nikolaidis

   Pages 99-117

7. Collaborative Demand Planning: Creating Value Through Demand Signals

   • Karine Evrard Samuel

   Pages 119-136

8. Value Creation and Supplier Selection: an Empirical Analysis

   • Blandine Ageron, Alain Spalanzani

   Pages 137-153

9. Supplier Selection in Agile Manufacturing Using Fuzzy Analytic Hierarchy Process

   • Cengiz Kahraman, İhsan Kaya

   Pages 155-190

10. A Sustainable Green Supply Chain for Globally Integrated Networks

    • Balan Sundarakani, Robert de Souza, Mark Goh, David van Over, Sushmera Manikandan, S.C. Lenny Koh

    Pages 191-206

11. A Multi-agent Framework for Agile Outsourced Supply Chains

    • N. Mishra, V. Kumar, F. T. S. Chan

    Pages 207-226

12. Agent-based Simulation and Simulation-based Optimisation for Supply Chain Management

    • Tehseen Aslam, Amos Ng

    Pages 227-247

13. Analysing Interactions among Battery Recycling Barriers in the Reverse Supply Chain

    • P. Sasikumar, A. Noorul Haq

    Pages 249-269

14. Design of Reverse Supply Chains in Support of Agile Closed-loop Logistics Networks

    • Anastasios Xanthopoulos, Eleftherios Iakovou

    Pages 271-296

15. The Evolution of Logistics Service Providers and the Role of Internet-based Applications in Facilitating Global Operations

    • Aristides Matopoulos, Eleni-Maria Papadopoulou

    Pages 297-310

16. A Heuristic for Heterogeneous Capacitated Pick-up and Delivery Logistics Problems with Time Windows in Agile Manufacturing and the Distribution Supply Chain

    • P. Sivakumar, K. Ganesh, S. P. Nachiappan, S. Arunachalam

    Pages 311-331

17. Visualisation and Verification of Communication Protocols for Networked Distributed Systems

    • Z. M. Bi, Lihui Wang

    Pages 333-357

18. Robustness and Capability Indices in the Optimisation of an Airline’s Fleet – Bridging Contradicting Outcomes

    • Leo D. Kounis

    Pages 359-397

19. Back Matter

    Pages 399-406

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Enterprise Networks and Logistics for Agile Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in the areas of enterprise networks and logistics, as well as their practical applications towards agile manufacturing. With the increasing decentralisation of manufacturing systems and outsourcing of processes, more robust and practical approaches and systems are needed to support agile manufacturing operations. Enterprise Networks and Logistics for Agile Manufacturing consists of two major sections: the first presents a broad-based review of the key areas of research in enterprise networks and logistics; the second focuses on an in-depth treatment of a particular methodology or system relevant to the book title. Examples include: • sustainable green supply chain; • value creation and supplier selection; • extended enterprise network management; • reverse logistics; and • innovative supply chain systems. The authors take into account the need to pose intellectual challenges while retaining a balanced approach in terms of scope versus depth and theory versus applications. Enterprise Networks and Logistics for Agile Manufacturing can be beneficial to academic researchers, practicing engineers and managers, and graduate students with an interest in any manufacturing sectors. It can enable them to better understand the present state and future trends of research in this important area, in order to position themselves strategically for future challenges as we enter the era of agile and distributed manufacturing.

• Integrated Supply Chain
• Manufacturing
• Manufacturing System
• Recycling
• Supply Chains
• distribution
• logistics
• marketing
• network management
• optimization
• outsourcing
• scheduling
• simulation
• supply chain
• supply chain management
• Engineering Economics

• Virtual Systems Research Centre, Intelligent Automation, University of Skövde, Skövde, Sweden

  Lihui Wang

• Management School, Logistics and Supply Chain Management (LSCM) Research Centre, Sheffield University, Sheffield, UK

  S.C. Lenny Koh

Lihui Wang is a professor of virtual manufacturing at the University of Skövde’s Virtual Systems Research Centre in Sweden. He was previously a senior research scientist at the Integrated Manufacturing Technologies Institute, National Research Council of Canada. He is also an adjunct professor in the Department of Mechanical and Materials Engineering at the University of Western Ontario, and a registered professional engineer in Canada. His research interests and responsibilities are in web-based and sensor-driven real-time monitoring and control, distributed machining process planning, adaptive assembly planning, collaborative design, supply chain management, as well as intelligent and adaptive manufacturing systems. S.C. Lenny Koh is Chair in Operations Management, Director of the Logistics and Supply Chain Management (LSCM) Research Centre, Associate Dean of Alumni Relations, and Head of the Operations Management Group at the University of Sheffield’s Management School, UK. She is also a co-founder of the Supply Chain Management and Information Systems (SCMIS) Consortium. Her industrial and research experiences include implementation and operations of MRP/MRPII/ERP systems, batch-manufacturing and high-tech environments, directorships/leaderships in the agricultural sector, directorships and management in the business-to-business and business-to-consumer food supply chains, business ventures and investment, uncertainty management, and low carbon and green supply chain.

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