Honey global supply chain network design using fuzzy optimization approach

From the past, honey has been known as a healthy product for human life. Iran has a suitable climate for beekeeping and is among the high-ranked countries in honey production. However, due to failure to comply with quality issues, export of honey from Iran is associated with many problems. According to this issue, this paper presents a robust possibilistic optimization network design model for honey global supply chain regarding global issues (e.g. Incoterms) and quality problems. The proposed network design model considers the product quality and its effect on the amount of demand. Numerical results from the robust model compared with the deterministic model show that the proposed robust model provides appropriate solutions with low risk for the decision makers.

[1]  Ronald R. Yager,et al.  A procedure for ordering fuzzy subsets of the unit interval , 1981, Inf. Sci..

[2]  M. Cemal Dincer,et al.  A multifactor model for international plant location and financing under uncertainty , 1986, Comput. Oper. Res..

[3]  A. Yazenin Linear programming with random fuzzy data , 1992 .

[4]  Robert J. Vanderbei,et al.  Robust Optimization of Large-Scale Systems , 1995, Oper. Res..

[5]  Cem Canel,et al.  A mixed‐integer programming approach for the international facilities location problem , 1996 .

[6]  David Taylor,et al.  Global Cases in Logistics and Supply Chain Management , 1996 .

[7]  Siddhartha S. Syam A model for the capacitated p-facility location problem in global environments , 1997, Comput. Oper. Res..

[8]  Masood A. Badri,et al.  Combining the analytic hierarchy process and goal programming for global facility location-allocation problem , 1999 .

[9]  Ching-Ter Chang,et al.  A linearization method for mixed 0-1 polynomial programs , 2000, Comput. Oper. Res..

[10]  Arkadi Nemirovski,et al.  Robust solutions of Linear Programming problems contaminated with uncertain data , 2000, Math. Program..

[11]  Melvyn Sim,et al.  The Price of Robustness , 2004, Oper. Res..

[12]  Mary J. Meixell,et al.  Global supply chain design: A literature review and critique , 2005 .

[13]  Srinagesh Gavirneni,et al.  Role of transfer prices in global supply chains with random demands , 2007 .

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

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

[16]  Yue Wu,et al.  Production , Manufacturing and Logistics A robust optimization model for multi-site production planning problem in an uncertain environment , 2007 .

[17]  Nilay Shah,et al.  Logistical network design with robustness and complexity considerations , 2007 .

[18]  Meir J. Rosenblatt,et al.  THE IMPACT OF LOCAL CONTENT RULES ON GLOBAL SOURCING DECISIONS , 1997 .

[19]  Pierre Hansen,et al.  Exact and heuristic solutions of the global supply chain problem with transfer pricing , 2010, Eur. J. Oper. Res..

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

[21]  Jiuh-Biing Sheu,et al.  Hierarchical facility network planning model for global logistics network configurations , 2012 .

[22]  Yannick Frein,et al.  An optimisation model for the design of global multi-echelon supply chains under lead time constraints , 2013 .

[23]  Guixia Qian,et al.  Revenue Sharing in Dairy Industry Supply Chain - A Case Study of Hohhot, China , 2013 .

[24]  F. Caniato,et al.  The effect of global supply chain configuration on the relationship between supply chain improvement programs and performance , 2013 .

[25]  Reza Tavakkoli-Moghaddam,et al.  A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level , 2013 .

[26]  Eleftherios Iakovou,et al.  Agrifood supply chain management: A comprehensive hierarchical decision-making framework and a critical taxonomy , 2014 .

[27]  Yannick Frein,et al.  Redesign of global supply chains with integration of transfer pricing: Mathematical modeling and managerial insights , 2014 .

[28]  Seyed Hossein Razavi Hajiagha,et al.  An integrated fuzzy QFD and fuzzy goal programming approach for global facility location-allocation problem , 2014, Int. J. Inf. Technol. Decis. Mak..

[29]  Mohamed Shenify,et al.  The Expected Value of a Fuzzy Number , 2015 .