A two-period model for selection of resilient multi-tier supply portfolio

A two-period decision-making model is developed for selection of resilient supply portfolio in a multi-tier supply chain under disruption risks. The planning horizon is divided into two aggregate periods: before and after the disruption. The resilience of the supply chain is achieved by selection ahead of time primary supply portfolio and by pre-positioning of risk mitigation inventory of parts at different tiers that will hedge against all disruption scenarios. Simultaneously, recovery and transshipment portfolios are determined for each disruption scenario and decisions on usage the pre-positioned inventory are made to minimise expected cost or maximise expected service level. Some properties of optimal solutions, derived from the proposed model provide additional managerial insights. The findings also indicate that the developed portfolio approach with an embedded network flow structure leads to computationally efficient stochastic mixed integer program with a strong LP relaxation.

[1]  Tadeusz Sawik,et al.  Two-period vs. multi-period model for supply chain disruption management , 2018, Int. J. Prod. Res..

[2]  Seyed Ali Torabi,et al.  Resilient supplier selection and order allocation under operational and disruption risks , 2015 .

[3]  Tadeusz Sawik Supply Chain Disruption Management Using Stochastic Mixed Integer Programming , 2017 .

[4]  Matthias Holweg,et al.  Theoretical perspectives on the coordination of supply chains , 2008 .

[5]  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..

[6]  Tadeusz Sawik,et al.  A portfolio approach to supply chain disruption management , 2017, Int. J. Prod. Res..

[7]  Ivanov,et al.  Handbook of Ripple Effects in the Supply Chain , 2019, International Series in Operations Research & Management Science.

[8]  Thomas Y. Choi,et al.  Toward a Theory of Multi-Tier Supply Chain Management , 2013 .

[9]  Hakan Yildiz,et al.  Reliable Supply Chain Network Design , 2016, Decis. Sci..

[10]  Dan Andrei Iancu,et al.  Disruption Risk and Optimal Sourcing in Multitier Supply Networks , 2017, Manag. Sci..

[11]  Alexandre Dolgui,et al.  The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management , 2014 .

[12]  Mark Goh,et al.  Decision-making models for supply chain risk mitigation: A review , 2017, Comput. Ind. Eng..

[13]  Thomas Y. Choi,et al.  Unveiling the structure of supply networks: case studies in Honda, Acura, and DaimlerChrysler , 2002 .

[14]  R. Narasimhan,et al.  Perspectives on risk management in supply chains , 2009 .

[15]  Tadeusz Sawik,et al.  Disruption mitigation and recovery in supply chains using portfolio approach , 2019, Omega.

[16]  Joost R. Santos,et al.  Modeling a severe supply chain disruption and post-disaster decision making with application to the Japanese earthquake and tsunami , 2014 .

[17]  Tadeusz Sawik,et al.  Selection of supply portfolio under disruption risks , 2011 .

[18]  Gregory A. DeCroix Inventory Management for an Assembly System Subject to Supply Disruptions , 2013, Manag. Sci..

[19]  Brian Tomlin,et al.  Operational Strategies for Managing Supply Chain Disruption Risk , 2011 .

[20]  William Ho,et al.  Models for supplier selection and risk mitigation: a holistic approach , 2018, Int. J. Prod. Res..

[21]  Upmanu Lall,et al.  Flood Risks and Impacts: A Case Study of Thailand’s Floods in 2011 and Research Questions for Supply Chain Decision Making , 2015 .

[22]  L. F. Scavarda,et al.  A multi-tier study on supply chain flexibility in the automotive industry , 2014 .

[23]  Claudia R. Rosales,et al.  Procurement decisions and information sharing under multi-tier disruption risk in a supply chain , 2020, Int. J. Prod. Res..

[24]  Xueping Li,et al.  Supply chain resilience for single and multiple sourcing in the presence of disruption risks , 2018, Int. J. Prod. Res..

[25]  Hirofumi Matsuo,et al.  Implications of the Tohoku earthquake for Toyota׳s coordination mechanism: Supply chain disruption of automotive semiconductors ☆ , 2015 .

[26]  D. Ivanov Structural Dynamics and Resilience in Supply Chain Risk Management , 2017 .

[27]  T. Sawik Selection of resilient supply portfolio under disruption risks , 2013 .