Supply chain redesign for resilience using simulation

Supply chains are facing numerous changes that are contributing to increasing their complexity and vulnerability to disturbances, therefore, to survive, supply chains must be resilient. The paper presents a supply chain simulation study for a real case concerned with the Portuguese automotive supply chain. The subset automotive supply chain involved in the case study is a three-echelon supply chain, composed by one automaker, two 1st-tier suppliers, two 2nd-tier suppliers, and one outsource entity. The purpose of the study is to evaluate alternative supply chain scenarios for improving supply chain resilience to a disturbance and understanding how mitigation strategies affect each supply chain entity performance. Two strategies widely used to mitigate disturbance negative effects on supply chains were considered and six scenarios were designed. The scenarios differ in terms of presence or absence of a disturbance in one hand and presence or absence of a mitigation strategy in other hand. To evaluate the scenarios designed, two performance measures were defined per supply chain entity, Lead Time Ratio and Total Cost.

[1]  Randall P. Sadowski,et al.  Simulation with Arena , 1998 .

[2]  Francesco Longo,et al.  An advanced supply chain management tool based on modeling and simulation , 2008, Comput. Ind. Eng..

[3]  Zemin Niu,et al.  Analysis on the effects of stock sharing on supply chain , 2011, Comput. Ind. Eng..

[4]  D. Towill,et al.  Supply chain migration from lean and functional to agile and customised , 2000 .

[5]  Yacov Y Haimes,et al.  On the Definition of Vulnerabilities in Measuring Risks to Infrastructures , 2006, Risk analysis : an official publication of the Society for Risk Analysis.

[6]  Radivoj Petrovic,et al.  Modelling and simulation of a supply chain in an uncertain environment , 1998, Eur. J. Oper. Res..

[7]  Silvanus T. Enns,et al.  Simulation test bed for manufacturing analysis: a simulation test bed for producton and supply chain modeling , 2003, WSC '03.

[8]  Virgílio António Cruz Machado,et al.  Strategies to Mitigate Supply Chain Disturbances , 2009 .

[9]  F. Caniato,et al.  Building a Secure and Resilient Supply Chain , 2003 .

[10]  Guojun Ji,et al.  Study on supply chain disruption risk management strategies and model , 2008, 2008 International Conference on Service Systems and Service Management.

[11]  Eleonora Bottani,et al.  Supply chain design and cost analysis through simulation , 2010 .

[12]  Manoj Kumar Tiwari,et al.  Optimization of the supply chain network: Simulation, Taguchi, and Psychoclonal algorithm embedded approach , 2010, Comput. Ind. Eng..

[13]  M. C. Holcomb,et al.  Understanding the concept of supply chain resilience , 2009 .

[14]  Mohd Rizam Abu Bakar,et al.  Development of a new approach for deterministic supply chain network design , 2009, Eur. J. Oper. Res..

[15]  Tae-Eog Lee,et al.  A three-level supply chain network design model with risk-pooling and lead times , 2010 .

[16]  Yannick Frein,et al.  A strategic-tactical model for the supply chain design in the delocalization context: Mathematical formulation and a case study , 2009 .

[17]  Seyed Reza Hejazi,et al.  Supply chain modeling in uncertain environment with bi-objective approach , 2009, Comput. Ind. Eng..

[18]  Richard Wilding,et al.  Chaos Theory: Implications for Supply Chain Management , 1998 .

[19]  A. Beulens,et al.  Identifying sources of uncertainty to generate supply chain redesign strategies , 2002 .

[20]  Jeong-Hun Lee,et al.  Multi-level supply chain network design with routing , 2010 .

[21]  F. Caniato,et al.  BUILDING A SECURE AND RESILIENT SUPPLY NETWORK. , 2003 .

[22]  Keely L. Croxton,et al.  ENSURING SUPPLY CHAIN RESILIENCE: DEVELOPMENT OF A CONCEPTUAL FRAMEWORK , 2010 .

[23]  Jan Holmström,et al.  How to design the right supply chains for your customers , 2009 .

[24]  Paul K. Davis,et al.  Generalizing Concepts and Methods of Verification, Validation, and Accreditation (VV&A) for Military Simulations, , 1992 .

[25]  Victoria C. P. Chen,et al.  Performance analysis of conjoined supply chains , 2001 .

[26]  Christopher S. Tang Robust strategies for mitigating supply chain disruptions , 2006 .

[27]  Augusto Q. Novais,et al.  Simultaneous design and planning of supply chains with reverse flows: A generic modelling framework , 2010, Eur. J. Oper. Res..

[28]  Jagjit Singh Srai,et al.  A supply network configuration perspective on international supply chain development , 2008 .

[29]  Thomas J. Kull,et al.  The risk of second-tier supplier failures in serial supply chains: Implications for order policies and distributor autonomy , 2008, Eur. J. Oper. Res..

[30]  F. Persson,et al.  Performance simulation of supply chain designs , 2002 .

[31]  U. W. Thonemann,et al.  Supply Chain Design Considering Economies of Scale and Transport Frequencies , 2009 .

[32]  Mansooreh Mollaghasemi,et al.  Simulation input data modeling , 1994, Ann. Oper. Res..

[33]  Rakesh Nagi,et al.  Robust supply chain design under uncertain demand in agile manufacturing , 2010, Comput. Oper. Res..

[34]  Barry W. Boehm,et al.  Verifying and Validating Software Requirements and Design Specifications , 1989, IEEE Software.

[35]  Kathryn E. Stecke,et al.  Sources of Supply Chain Disruptions, Factors That Breed Vulnerability, and Mitigating Strategies , 2009 .

[36]  H. Peck Drivers of supply chain vulnerability: an integrated framework , 2005 .

[37]  S. Chopra,et al.  Managing Risk To Avoid Supply-Chain Breakdown , 2004 .

[38]  Nader Azad,et al.  Incorporating location, routing and inventory decisions in supply chain network design , 2010 .

[39]  Christopher Pickett Prepare for supply chain disruptions before they hit , 2006 .

[40]  A. P. Barroso,et al.  A supply chain disturbances classification , 2008, 2008 IEEE International Conference on Industrial Engineering and Engineering Management.

[41]  K. B. Hendricks,et al.  The Effect of Operational Slack, Diversification, and Vertical Relatedness on the Stock Market Reaction to Supply Chain Disruptions , 2009 .

[42]  Eleftherios Iakovou,et al.  An analytical methodological framework for the optimal design of resilient supply chains , 2007 .

[43]  Manoj Kumar Tiwari,et al.  A Hybrid Taguchi-Immune approach to optimize an integrated supply chain design problem with multiple shipping , 2010, Eur. J. Oper. Res..

[44]  Göran Svensson,et al.  A conceptual framework for the analysis of vulnerability in supply chains , 2000 .

[45]  Jinxing Xie,et al.  Effects of inventory policy on supply chain performance: A simulation study of critical decision parameters , 2008, Comput. Ind. Eng..

[46]  Andreas Norrman,et al.  Ericsson’s Proactive Supply Chain Risk Management-approach After a Serious Supplier Accident , 2004 .

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

[48]  Li-Ting Huang,et al.  On ordering adjustment policy under rolling forecast in supply chain planning , 2011, Comput. Ind. Eng..

[49]  S. Chopra,et al.  Supply Chain Management: Strategy, Planning & Operation , 2007 .

[50]  Shaligram Pokharel,et al.  Supply chain positioning strategy integration, evaluation, simulation, and optimization , 2004, Comput. Ind. Eng..

[51]  Ola Johansson,et al.  The effect of asset visibility on managing returnable transport items , 2007 .

[52]  V. Cruz Machado,et al.  Designing principles to create resilient supply chains , 2007 .

[53]  Hokey Min,et al.  Supply chain modeling: past, present and future , 2002 .

[54]  S. B. Taps,et al.  Aligning supply chain design with manufacturing strategies in developing regions , 2007 .

[55]  R. Handfield,et al.  An empirically derived agenda of critical research issues for managing supply-chain disruptions , 2005 .

[56]  M. Christopher,et al.  Building the Resilient Supply Chain , 2004 .