Volume 19, Issue 3 (9-2022)
jor 2022, 19(3): 133-153 |
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Ghasemzadeh Gevari F, Olfat L, Amiri M, Teimoury E. A Recovery Plan for Three-Level Supply Chain after Supply Disruption. jor 2022; 19 (3) :133-153
URL: http://jamlu.liau.ac.ir/article-1-1709-en.html
URL: http://jamlu.liau.ac.ir/article-1-1709-en.html
Department of Management and Accounting, Faculty of Humanities, Zanjan University, Zanjan, Iran
Abstract: (712 Views)
In today’s world with new improvements and managerial approaches toward lean production and inventory decrease, empowering supply chains in disruption management have become more important. The main goal of current research is to present a mathematical model for supply, production, inventory and distribution planning in supply chain (SC) after disruption occurrence. This kind of planning is known as recovery planning in scope of disruption management studies which tries to recover the disrupted system by minimizing the total cost of the supply chain.
A disruption may occur in any supplier and cause interruption in replenishment and accordingly customer’s service. The main goal of this research is helping decision makers to choose best supply, production and ordering quantity after supply disruption occurrence so that SC recovers and returns to pre-disruption plan with minimum recovering cost. The studied supply chain contains several suppliers, a manufacturer and several retailers which try to serve customers’ demands.
The suggested recovery plan is a non-linear programming model, so a heuristic method was designed and coded in MATLAB to solve it. To evaluate the applicability of suggested heuristic, the model was solved by GAMS for several random experiments. The deviation of the heuristic solutions from GAMS values is very small which proves that the use of heuristic is acceptable and reliable.
A disruption may occur in any supplier and cause interruption in replenishment and accordingly customer’s service. The main goal of this research is helping decision makers to choose best supply, production and ordering quantity after supply disruption occurrence so that SC recovers and returns to pre-disruption plan with minimum recovering cost. The studied supply chain contains several suppliers, a manufacturer and several retailers which try to serve customers’ demands.
The suggested recovery plan is a non-linear programming model, so a heuristic method was designed and coded in MATLAB to solve it. To evaluate the applicability of suggested heuristic, the model was solved by GAMS for several random experiments. The deviation of the heuristic solutions from GAMS values is very small which proves that the use of heuristic is acceptable and reliable.
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