چکیده:
In this study, a bi-objective model for integrated planning of production-distribution in a multi-level supply chain network with multiple product types and multi time periods is presented. The supply chain network including manufacturers, distribution centers, retailers and final customers is proposed. The proposed model minimizes the total supply chain costs and transforming time of products for customers in the chain. The proposed model is in the class of linear integer programming problems. The complexity of the problem is large and in the literature, this problem has been shown to be NP-hard. Therefore, for solving this problem, two multi objective meta-heuristic approaches based on Pareto method including non-dominated Sorting Genetic Algorithm-II (NSGA-II) and non-dominated Ranking Genetic Algorithm (NRGA) have been suggested. Since the output of meta- heuristic algorithms are highly dependent on the input parameters of the algorithm, Taguchi method (Taguchi) is used to tune the parameters. Finally, in order to evaluate the performance of the proposed solution methods, different test problems with different dimensions have been produced and the performances of the proposed algorithms on the test problems have been analyzed.
خلاصه ماشینی:
"Therefore, for solving this problem, two multi objective meta- heuristic approaches based on Pareto method including non-dominated Sorting Genetic Algorithm-II (NSGA-II) and non-dominated Ranking Genetic Algorithm (NRGA) have been suggested.
Keywords: Supply chain management; Multi objective production-distribution planning problem; NSGA-II; NRGA; Taguchi method.
Kalaitzidou et al (2014) suggested a modeling framework based on a mixed integer linear programming problem for the design of supply chain networks and finding the optimal structure of the network considering market demand satisfaction and overall capital and operational cost minimization.
Objectives of the model are minimizing total chain’s costs and minimizing the average tardiness of product to distribution centers considering a flow-shop scheduling problem in manufacturing part of supply chain.
In this research, an integrated production planning-distribution model for designing four- level supply chain with multi product types and multi periods time is suggested for minimizing the total supply chain costs and the transfer time of the products to the customers.
In this model, allocation of different levels of supply chain is investigated in order to obtain optimal quantity of production, distribution, transportation and inventory holding and backorder level for minimizing the total chain costs, and transfer time of products to customers.
Constraint 7 indicates that if a link between two levels of the chain exists, then the amount of product i to be shipped in time period t from distribution center d to the retailer r is limited by transportation capacities."