The inter‐disciplinary modelling of supply chains in the context of collaborative multi‐structural cyber‐physical networks

Purpose – On modern markets, supply chains (SC) shape the competition landscape. At the same time, considerable research advancements have been recently achieved in the area of collaborative networks. Trends in information technology progress for networked systems include development of cyber‐physical networks, cloud service environments, etc. The purpose of this paper is to identify an inter‐disciplinary perspective and modelling tools for new generation SCs which will be collaborative cyber‐physical networks.Design/methodology/approach – This study addresses the above‐mentioned research goal by first, developing a methodical vision of an inter‐disciplinary modelling framework for SCM based on the existing studies on SC operations, control and systems theories; and second, by integrating elements of different structures with structures dynamics within an adaptive framework based upon the authors' own research.Findings – The inter‐disciplinary modelling framework for multi‐structural SCs has been develope...

[1]  M. Christopher,et al.  An Integrated Model for the Design of Agile Supply Chains. , 2001 .

[2]  Zhi-Long Chen,et al.  Integrated Production and Outbound Distribution Scheduling: Review and Extensions , 2010, Oper. Res..

[3]  I. Chen,et al.  Understanding supply chain management: critical research and a theoretical framework , 2004 .

[4]  Boris V. Sokolov,et al.  A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations , 2010, Eur. J. Oper. Res..

[5]  Dmitry Ivanov,et al.  Adaptive Supply Chain Management , 2009 .

[6]  K. Lai,et al.  Responsive supply chain : A competitive strategy in a networked economy , 2008 .

[7]  Christos D. Tarantilis,et al.  Dynamic modeling and control of supply chain systems: A review , 2008, Comput. Oper. Res..

[8]  Amit Surana,et al.  Supply-chain networks: a complex adaptive systems perspective , 2005 .

[9]  Petri Helo,et al.  Supply chain configuration with co-ordinated product, process and logistics decisions: an approach based on Petri nets , 2009 .

[10]  Egon Müller,et al.  Integrative planning and design of logistics structures and production plants in Competence-cell-based networks , 2008 .

[11]  José Miguel Laínez,et al.  Capturing dynamics in integrated supply chain management , 2008, Comput. Chem. Eng..

[12]  Luis M. Camarinha-Matos,et al.  Collaborative networked organizations: Status and trends in manufacturing , 2009, Annu. Rev. Control..

[13]  Jayashankar M. Swaminathan,et al.  Modeling Supply Chain Dynamics: A Multiagent Approach , 1998 .

[14]  Dmitry Ivanov,et al.  Structure dynamics control approach to supply chain planning and adaptation , 2012 .

[15]  Gérard P. Cachon,et al.  Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations , 2005, Manag. Sci..

[16]  Denis Royston Towill,et al.  A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain , 2002 .

[17]  Jan C. Willems,et al.  Introduction to mathematical systems theory: a behavioral approach, Texts in Applied Mathematics 26 , 1999 .

[18]  Hai Zhuge,et al.  Semantic linking through spaces for cyber-physical-socio intelligence: A methodology , 2011, Artif. Intell..

[19]  Hau L. Lee,et al.  Unlocking the Value of RFID , 2007 .

[20]  A. Barabasi,et al.  Network Theory--the Emergence of the Creative Enterprise , 2005, Science.

[21]  Angappa Gunasekaran,et al.  A strategic model for agile virtual enterprise partner selection , 2007 .

[22]  Boris V. Sokolov,et al.  Applicability of optimal control theory to adaptive supply chain planning and scheduling , 2012, Annu. Rev. Control..

[23]  S. Disney,et al.  On the equivalence of control theoretic, differential, and difference equation approaches to modeling supply chains , 2006 .

[24]  Angappa Gunasekaran,et al.  Modeling and analysis of build-to-order supply chains , 2009, Eur. J. Oper. Res..

[25]  Dmitry Ivanov,et al.  DIMA—A research methodology for comprehensive multi-disciplinary modeling of production and logistics networks , 2009 .

[26]  Dmitry Ivanov,et al.  An adaptive framework for aligning (re)planning decisions on supply chain strategy, design, tactics, and operations , 2010 .

[27]  Robert J. Kauffman,et al.  An Interdisciplinary Perspective on IT Services Management and Service Science , 2010, J. Manag. Inf. Syst..

[28]  Hamideh Afsarmanesh,et al.  Collaborative Networks: Reference Modeling , 2008 .

[29]  Lazaros G. Papageorgiou,et al.  A combined optimization and agent-based approach to supply chain modelling and performance assessment , 2001 .

[30]  Alain Martel,et al.  The design of robust value-creating supply chain networks , 2010, Eur. J. Oper. Res..

[31]  Boris V. Sokolov,et al.  Dynamic supply chain scheduling , 2012, J. Sched..

[32]  Daniel E. Rivera,et al.  A process control approach to tactical inventory management in production-inventory systems , 2010 .

[33]  Boris V. Sokolov,et al.  Integrated supply chain planning based on a combined application of operations research and optimal control , 2011, Central Eur. J. Oper. Res..

[34]  Jason L. Dedrick,et al.  How Does Information Technology Shape Supply-Chain Structure? Evidence on the Number of Suppliers , 2008, J. Manag. Inf. Syst..

[35]  David Simchi-Levi,et al.  Handbook of Quantitative Supply Chain Analysis , 2004 .

[36]  Hermann Kühnle,et al.  A system of models contribution to production network (PN) theory , 2007, J. Intell. Manuf..

[37]  Jongkuk Lee,et al.  Supply chain efficiency and security: Coordination for collaborative investment in technology , 2011, Eur. J. Oper. Res..

[38]  Boris V. Sokolov,et al.  Intelligent planning and control of manufacturing supply chains in virtual enterprises , 2007, Int. J. Manuf. Technol. Manag..

[39]  Antonio Espuña Camarasa,et al.  Simultaneous optimization of process operations and financial decisions to enhance the integrated planning/scheduling of chemical supply chains , 2006, Comput. Chem. Eng..

[40]  Rob Dekkers.  Dispersed Manufacturing Networks: Challenges for Research and Practice , 2009 .

[41]  Hamid Noori,et al.  Factory-on-demand and smart supply chains: the next challenge , 2002, Int. J. Manuf. Technol. Manag..

[42]  Luis M. Camarinha-Matos,et al.  A conceptual model of value systems in collaborative networks , 2010, J. Intell. Manuf..

[43]  José M. Vidal,et al.  Supply network topology and robustness against disruptions – an investigation using multi-agent model , 2011 .

[44]  Michael J. Magazine,et al.  Quantitative Models for Supply Chain Management , 1998 .

[45]  Jerry C. Wei,et al.  Responding to schedule changes in build‐to‐order supply chains , 2005 .

[46]  Suresh P. Sethi,et al.  Optimal Ordering Policies for Inventory Problems with Dynamic Information Delays , 2009 .

[47]  B. Beamon.  Supply chain design and analysis:: Models and methods , 1998 .

[48]  S. Graves,et al.  Supply chain management : design, coordination and operation , 2003 .

[49]  S. G. Deshmukh,et al.  Revisiting information systems to support a dynamic supply chain: issues and perspectives , 2009 .

[50]  Gintaras V. Reklaitis,et al.  Financial and financial engineering considerations in supply chain and product development pipeline management , 2009, Comput. Chem. Eng..

[51]  Sean P. Willems,et al.  Optimizing the Supply Chain Configuration for New Products , 2005, Manag. Sci..

[52]  Yaman Barlas,et al.  Demand forecasting and sharing strategies to reduce fluctuations and the bullwhip effect in supply chains , 2011, J. Oper. Res. Soc..

[53]  Nico Dellaert,et al.  The rediscovery of industrial dynamics: the contribution of system dynamics to supply chain management in a dynamic and fragmented world , 2005 .

[54]  Hamideh Afsarmanesh,et al.  The Emerging Discipline of Collaborative Networks , 2004, Virtual Enterprises and Collaborative Networks.

[55]  Panos Kouvelis,et al.  Supply Chain Management Research and Production and Operations Management: Review, Trends, and Opportunities , 2006 .

[56]  Rob Dekkers,et al.  Distributed Manufacturing as co-evolutionary system , 2009 .

[57]  Ignacio E. Grossmann,et al.  Dynamic modeling and classical control theory for supply chain management , 2000 .

[58]  Germaine H. Saad,et al.  Managing Disruption Risks in Supply Chains , 2005 .

[59]  Manoj Kumar Tiwari,et al.  A framework for designing robust supply chains considering product development issues , 2011 .

[60]  Hamideh Afsarmanesh,et al.  Collaborative Networks and Their Breeding Environments - IFIP TC5 WG 5.5 Sixth IFIP Working Conference on Virtual Enterprises, PRE-VE 2005, 26-28 September, 2005, Valencia, Spain , 2005, PRO-VE.

[61]  Hamideh Afsarmanesh,et al.  Collaborative networks: a new scientific discipline , 2005, J. Intell. Manuf..

[62]  V. Sambamurthy,et al.  Supply chain information technologies and organisational initiatives: complementary versus independent effects on agility and firm performance , 2010 .

[63]  Rob Dekkers,et al.  Industrial networks: capturing changeability? , 2006, Int. J. Netw. Virtual Organisations.

[64]  Thomas Y. Choi,et al.  Supply networks and complex adaptive systems: Control versus emergence , 2001 .

[65]  Leslie Monplaisir,et al.  Matching product architecture with supply chain design , 2012, Eur. J. Oper. Res..

[66]  Jean-Marie Proth,et al.  Opportunistic supply chain formation from qualified partners for a new market demand , 2006, J. Oper. Res. Soc..

[67]  Mostafa Zandieh,et al.  A hybrid multi-stage predictive model for supply chain network collapse recovery analysis: a practical framework for effective supply chain network continuity management , 2011 .

[68]  F. Jolai,et al.  Integrated multi-site production-distribution planning in supply chain by hybrid modelling , 2010 .