Abstract
In recent years, due to high pressure of expenses on supply chain systems and members, the decision makers in these situations are seeking to create policy and strategies to minimize the total cost for their supply chain process with low target price and future demands. Regarding this crucial issue, their studies on the implementation of supply chain issues and bottlenecks have observed the enormous and direct impact on company’s financial performance and improve it systemically. In this paper, a well-known mixed integer nonlinear programming by multi-objective function is proposed to decide on reliable results for supply, production, and distribution system problems. The proposed mixed integer nonlinear programming model for multi-objective supply, production, and distribution problems is used to minimize the total cost for incurred sections and terms by decision makers. The obtained optimum solution and result are fulfilled by investigators and producers for planning how to adjust the investment and gain more accurate performances and implementations. Numerical results in plots and throughputs from MATLAB, using MINLP, showed that integrating the supply chain and mitigating the bottlenecks led to improve the system and decrease the total cost approximately (19.73%), while running without negative effects of supply chain disturbances on total cost.
Highlights
The 19th C. was the earliest time that the term “supply chain management” was introduced in researches of military journals [1]
This paper is the study of decision making to minimize the total cost of integrated function of supply chain system through the key tools of the mixed integer nonlinear programming (MINLP)
Three different multi-objective models were developed in this study to show different evaluation for calculating the total cost in segments of manufacturing and integrated model with regard to minimizing the cost in manufacturing supply chain system
Summary
The 19th C. was the earliest time that the term “supply chain management” was introduced in researches of military journals [1]. The functions were operated independently, such as supplying, purchasing, manufacturing, processing logistics and transportation, distribution, scheduling, marketing, and customer service level through supply chain system These functions are basically different but are intended to integrate strategically, even though their goals are not similar. This paper is the study of decision making to minimize the total cost of integrated function of supply chain system through the key tools of the mixed integer nonlinear programming (MINLP). Current research seeks to obtain the optimum solution for finding the existing bottlenecks in performances by modelling the integer nonlinear programing as a minimizing model for cost supply, production, and distribution operations with defined multiple parameters in a clear period of time.
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