Resilient supply chain design under operational and disruption risks considering quantity discount: A case study of pharmaceutical supply chain

Abstract Nowadays, one of the main objectives of supply chain design is to lessen the supply chain-threatening risks in order to reduce costs, preserve market share, and satisfy stakeholders. This paper presents an integrated hybrid approach based on data envelopment analysis (DEA) and mathematical programming method to design a resilient supply chain. First, the efficiency of potential suppliers is evaluated by a fuzzy DEA model. Afterwards, using the obtained efficiency, a two-stage possibilistic-stochastic programming model is developed for integrated supplier selection and supply chain design under disruption and operational risks. The model incorporates partial and complete disruptions of suppliers as well as quantity discount for procurement of various raw materials. Furthermore, we utilize several proactive strategies such as fortification and pre-positioning emergency inventory at fortified suppliers, and using multiple sourcing to enhance the resiliency of supply chain. Atra pharmaceutical company (APC) is used as a case study to investigate the applicability of the proposed model and analyze the solution results. The results indicate the validation of proposed model and the impact of various resiliency strategies.

[1]  Ada Alvarez,et al.  A bi-objective supply chain design problem with uncertainty , 2011 .

[2]  Marc Goetschalckx,et al.  A stochastic programming approach for supply chain network design under uncertainty , 2004, Eur. J. Oper. Res..

[3]  Sarada Prasad Sarmah,et al.  Multiple sourcing under supplier failure risk and quantity discount: A genetic algorithm approach , 2013 .

[4]  Qingwei Li,et al.  Reliable facility location design under disruptions , 2013, Comput. Oper. Res..

[5]  M. Parast,et al.  Mitigating supply chain disruptions through the assessment of trade-offs among risks, costs and investments in capabilities , 2016 .

[6]  Mahmoud H. Alrefaei,et al.  A closed-loop supply chain management problem: Reformulation and piecewise linearization , 2016 .

[7]  Ravi Shankar,et al.  Supply chain risk mitigation: modeling the enablers , 2006, Bus. Process. Manag. J..

[8]  Ali Azadeh,et al.  Supplier selection in closed loop supply chain by an integrated simulation-Taguchi-DEA approach , 2016, J. Enterp. Inf. Manag..

[9]  Loay Alnaji,et al.  The role of Supply Chain Applications in Jordanian Pharmacies: A case study on Pharmacies in the capital city Amman , 2013 .

[10]  Mariagrazia Dotoli,et al.  A model for supply management of agile manufacturing supply chains , 2012 .

[11]  Klaus Reinholdt Nyhuus Hansen,et al.  Planning operations before market launch for balancing time-to-market and risks in pharmaceutical supply chains , 2015 .

[12]  Dongyan Chen,et al.  Strategy of Production and Ordering in Closed-loop Supply Chain under Stochastic Yields and Stochastic Demands , 2015 .

[13]  Ying Zhang,et al.  A metaheuristic approach to the reliable location routing problem under disruptions , 2015 .

[14]  Kannan Govindan,et al.  Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers , 2017 .

[15]  Reza Zanjirani Farahani,et al.  Resilient supply chain network design under competition: A case study , 2017, Eur. J. Oper. Res..

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

[17]  Gang Yang,et al.  Plant co-ordination in pharmaceutics supply networks , 2003, OR Spectr..

[18]  Qingwei Li,et al.  A heuristic approach to the design of fortified distribution networks , 2013 .

[19]  Jun Zhuang,et al.  Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study , 2017 .

[20]  Cornelia Dröge,et al.  SUPPLIER EVALUATION IN A DYADIC RELATIONSHIP: AN ACTION RESEARCH APPROACH , 2006 .

[21]  Ana Paula Barbosa-Póvoa,et al.  Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty , 2015 .

[22]  Desheng Dash Wu,et al.  Supplier selection in a fuzzy group setting: A method using grey related analysis and Dempster-Shafer theory , 2009, Expert Syst. Appl..

[23]  Ignacio E. Grossmann,et al.  Design of Resilient Supply Chains with Risk of Facility Disruptions , 2014 .

[24]  Desheng Dash Wu,et al.  Supplier selection: A hybrid model using DEA, decision tree and neural network , 2009, Expert Syst. Appl..

[25]  Prem Vrat,et al.  Research on management issues in the pharmaceutical industry: a literature review , 2012 .

[26]  Gerald W. Evans,et al.  A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs , 2007, Comput. Oper. Res..

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

[28]  Masoumeh Kazemi Zanjani,et al.  Coordinating a green reverse supply chain in pharmaceutical sector by negotiation , 2016, Comput. Ind. Eng..

[29]  Christian L. Rossetti,et al.  Forces, trends, and decisions in pharmaceutical supply chain management , 2011 .

[30]  Ali Ghavamifar,et al.  Designing a resilient competitive supply chain network under disruption risks: A real-world application , 2018, Transportation Research Part E: Logistics and Transportation Review.

[31]  Peiyu Ren,et al.  The DEA Game Cross-efficiency Model for Supplier Selection Problem under Competition , 2014 .

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

[33]  H. Edwin Romeijn,et al.  Designing two-echelon supply networks , 2007, Eur. J. Oper. Res..

[34]  S. Ali Torabi,et al.  A robust possibilistic programming approach for pharmaceutical supply chain network design , 2015, Comput. Chem. Eng..

[35]  Amanda J. Schmitt,et al.  OR/MS models for supply chain disruptions: a review , 2014 .

[36]  I. Grossmann,et al.  Optimal quantity discount coordination for supply chain optimization with one manufacturer and multiple suppliers under demand uncertainty , 2015 .

[37]  Mark S. Daskin,et al.  A facility reliability problem: Formulation, properties, and algorithm , 2010 .

[38]  Amy Z. Zeng,et al.  Single or dual sourcing: decision-making in the presence of supply chain disruption risks , 2009 .

[39]  Stephan M. Wagner,et al.  Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions , 2015 .

[40]  Zuo-Jun Max Shen,et al.  Trade-offs Between Customer Service and Cost in Integrated Supply Chain Design , 2005, Manuf. Serv. Oper. Manag..

[41]  Lazaros G. Papageorgiou,et al.  Supply chain optimisation for the process industries: Advances and opportunities , 2009, Comput. Chem. Eng..

[42]  Ali Diabat,et al.  Supply chain network design with direct and indirect production costs: Hybrid gradient and local search based heuristics , 2018, International Journal of Production Economics.

[43]  B. Giri,et al.  Coordinating a supply chain under uncertain demand and random yield in presence of supply disruption , 2015 .

[44]  Xuan Yu,et al.  Pharmaceutical supply chain in China: current issues and implications for health system reform. , 2010, Health policy.

[45]  Baoding Liu,et al.  Chance constrained programming with fuzzy parameters , 1998, Fuzzy Sets Syst..

[46]  Masahiro Inuiguchi,et al.  Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem , 2000, Fuzzy Sets Syst..

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

[48]  Ali Bozorgi-Amiri,et al.  Multi-objective routing and scheduling for relief distribution with split delivery in post-disaster response , 2016 .

[49]  J. Sheu,et al.  Designing a supply chain resilient to major disruptions and supply/demand interruptions , 2016 .

[50]  Ali Ghavamifar,et al.  An integrated model for designing a distribution network of products under facility and transportation link disruptions , 2018 .

[51]  Amirhossein Khosrojerdi,et al.  Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study , 2016 .

[52]  Armin Jabbarzadeh,et al.  Resilient and sustainable supply chain design: sustainability analysis under disruption risks , 2018, Int. J. Prod. Res..

[53]  Vipul Jain,et al.  An integrated buyer initiated decision-making process for green supplier selection , 2016 .

[54]  Cengiz Kahraman,et al.  Operations Research Applications in Health Care Management , 2018 .

[55]  Lazaros G. Papageorgiou,et al.  Global supply chain network optimisation for pharmaceuticals , 2005 .

[56]  Sarah M. Ryan,et al.  Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition , 2016, Eur. J. Oper. Res..

[57]  Sarah S. Lam,et al.  Supply chain optimization under risk and uncertainty: A case study for high-end server manufacturing , 2016, Comput. Ind. Eng..

[58]  S. Afshin Mansouri,et al.  Humanitarian logistics network design under mixed uncertainty , 2016, Eur. J. Oper. Res..

[59]  E. Kondili,et al.  Development and implementation of an optimisation model for biofuels supply chain , 2011 .

[60]  Mehrdad Mohammadi,et al.  Hub-and-spoke network design under operational and disruption risks , 2018 .

[61]  Fong-Yuen Ding,et al.  Using data envelopment analysis to compare suppliers for supplier selection and performance improvement , 2000 .

[62]  N. Shah,et al.  Strategic Supply Chain Optimization for the Pharmaceutical Industries , 2001 .

[63]  Armin Jabbarzadeh,et al.  An enhanced robustness approach for managing supply and demand uncertainties , 2017 .

[64]  Amy Z. Zeng,et al.  Coordination with a Backup Supplier Through Buy-Back Contract Under Supply Disruption , 2010 .

[65]  Andrew Lim,et al.  Reliable logistics networks design with facility disruptions , 2011 .

[66]  Masoumeh Kazemi Zanjani,et al.  Two-echelon pharmaceutical reverse supply chain coordination with customers incentives , 2016 .

[67]  Kannan Govindan,et al.  Supply chain network design under uncertainty: A comprehensive review and future research directions , 2017, Eur. J. Oper. Res..

[68]  A. Oke,et al.  Managing disruptions in supply chains: A case study of a retail supply chain , 2009 .

[69]  Mahour Mellat-Parast,et al.  Developing a resilient supply chain through supplier flexibility and reliability assessment , 2016 .

[70]  Fariborz Jolai,et al.  Integrated production–distribution planning in two-echelon systems: a resilience view , 2017, Int. J. Prod. Res..

[71]  Stanisław Heilpern,et al.  The expected value of a fuzzy number , 1992 .

[72]  Iftekhar A. Karimi,et al.  Integrated supply chain planning for multinational pharmaceutical enterprises , 2011, Comput. Chem. Eng..

[73]  Weijun Xia,et al.  Supplier selection with multiple criteria in volume discount environments , 2007 .

[74]  Alexandre Dolgui,et al.  Disruption-driven supply chain (re)-planning and performance impact assessment with consideration of pro-active and recovery policies , 2016 .

[75]  Ali Bozorgi-Amiri,et al.  A robust possibilistic programming multi-objective model for locating transfer points and shelters in disaster relief , 2018, Transportmetrica A: Transport Science.

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

[77]  Michael G. H. Bell,et al.  Supply chain design for efficient and effective blood supply in disasters , 2017 .

[78]  Michael O'Sullivan,et al.  Robust and resilient strategies for managing supply disruptions in an agribusiness supply chain , 2017 .

[79]  Ali Azadeh,et al.  Location optimization of wind plants in Iran by an integrated hierarchical Data Envelopment Analysis , 2011 .

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

[81]  Lazaros G. Papageorgiou,et al.  Global supply chain planning for pharmaceuticals , 2011 .

[82]  Reza Tavakkoli-Moghaddam,et al.  A robust possibilistic programming approach to multi-period location-allocation of organ transplant centers under uncertainty , 2014, Comput. Ind. Eng..

[83]  Navid Sahebjamnia,et al.  Retail supply chain network design under operational and disruption risks , 2015 .

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

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

[86]  D. Dubois,et al.  The mean value of a fuzzy number , 1987 .

[87]  Georgios K. D. Saharidis,et al.  Strategies for protecting supply chain networks against facility and transportation disruptions: an improved Benders decomposition approach , 2013, Ann. Oper. Res..

[88]  T. Sawik.  Selection and protection of suppliers in a supply chain with disruption risks , 2013 .

[89]  Hui-Chieh Li,et al.  Reliability evaluation and adjustment of supply chain network design with demand fluctuations , 2011 .

[90]  Mehdi Heydari,et al.  An integrated routing and scheduling model for evacuation and commodity distribution in large-scale disaster relief operations: a case study , 2019, Ann. Oper. Res..

[91]  Mir Saman Pishvaee,et al.  Robust possibilistic programming for socially responsible supply chain network design: A new approach , 2012, Fuzzy Sets Syst..

[92]  J.M. Laínez,et al.  Challenges and opportunities in enterprise-wide optimization in the pharmaceutical industry , 2012, Comput. Chem. Eng..

[93]  Jack Barry,et al.  Supply chain risk in an uncertain global supply chain environment , 2004 .

[94]  Mir Saman Pishvaee,et al.  An integrated data envelopment analysis–mathematical programming approach to strategic biodiesel supply chain network design problem , 2017 .

[95]  Mark Goh,et al.  Production , Manufacturing and Logistics A stochastic model for risk management in global supply chain networks , 2007 .

[96]  Armin Jabbarzadeh,et al.  Marrying supply chain sustainability and resilience: A match made in heaven , 2016 .