Integrated production and distribution scheduling in distributed hybrid flow shops

2021 ◽  
Author(s):  
Hu Qin ◽  
Tao Li ◽  
Yi Teng ◽  
Kai Wang
Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maedeh Bank ◽  
Mohammad Mahdavi Mazdeh ◽  
Mahdi Heydari ◽  
Ebrahim Teimoury

PurposeThe aim of this paper is to present a method for finding the optimum balance between sequence-dependent setup costs, holding costs, delivery costs and delay penalties in an integrated production–distribution system with lot sizing decisions.Design/methodology/approachTwo mixed integer linear programming models and an optimality property are proposed for the problem. Since the problem is NP-hard, a genetic algorithm reinforced with a heuristic is developed for solving the model in large-scale settings. The algorithm parameters are tuned using the Taguchi method.FindingsThe results obtained on randomly generated instances reveal a performance advantage for the proposed algorithm; it is shown that lot sizing can reduce the average cost of the supply chain up to 11.8%. Furthermore, the effects of different parameters and factors of the proposed model on supply chain costs are examined through a sensitivity analysis.Originality/valueAlthough integrated production and distribution scheduling in make-to-order industries has received a great deal of attention from researchers, most researchers in this area have treated each order as a job processed in an uninterrupted time interval, and no temporary holding costs are assumed. Even among the few studies where temporary holding costs are taken into consideration, none has examined the effect of splitting an order at the production stage (lot sizing) and the possibility of reducing costs through splitting. The present study is the first to take holding costs into consideration while incorporating lot sizing decisions in the operational production and distribution problem.


2011 ◽  
Vol 58-60 ◽  
pp. 399-403 ◽  
Author(s):  
Meng Zhuo Bai

This paper studies multiple suppliers’ supply chain scheduling problem. A precise mathematical scheduling model is first built. Moreover, based on the optimal condition analysis, one problem related to the objectives of minimize the number of tardy jobs has been investigated. Furthermore, the corresponding dynamic programming method has been presented. These algorithm has been proved to be efficient by showing its pseudo-polynomial complexity.


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