The integrated production-distribution scheduling in parallel machine environment by using improved genetic algorithms

2020 ◽  
pp. 1-14
Author(s):  
Hamed Kazemi ◽  
Mohammad Mahdavi Mazdeh ◽  
Mohammad Rostami ◽  
Mahdi Heydari
Keyword(s):  
Genetic Algorithms ◽  
Parallel Machine ◽  
Integrated Production ◽  
Distribution Scheduling ◽  
Production Distribution

scholarly journals Integrated Production-Distribution Scheduling Problem with Multiple Independent Manufacturers

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Jianhong Hao ◽  
Lisi Cao ◽  
Dakui Jiang
Keyword(s):  
Public Service ◽  
Parallel Machines ◽  
Programming Model ◽  
Mixed Integer ◽  
Scheduling Problem ◽  
Production Schedule ◽  
Integrated Production ◽  
Batch Delivery ◽  
Distribution Scheduling ◽  
Production Distribution

We consider the nonstandard parts supply chain with a public service platform for machinery integration in China. The platform assigns orders placed by a machinery enterprise to multiple independent manufacturers who produce nonstandard parts and makes production schedule and batch delivery schedule for each manufacturer in a coordinate manner. Each manufacturer has only one plant with parallel machines and is located at a location far away from other manufacturers. Orders are first processed at the plants and then directly shipped from the plants to the enterprise in order to be finished before a given deadline. We study the above integrated production-distribution scheduling problem with multiple manufacturers to maximize a weight sum of the profit of each manufacturer under the constraints that all orders are finished before the deadline and the profit of each manufacturer is not negative. According to the optimal condition analysis, we formulate the problem as a mixed integer programming model and use CPLEX to solve it.

Multi-objective integrated production distribution planning concerning manufacturing partners

2014 ◽  
Vol 28 (12) ◽  
pp. 1313-1330 ◽  
Author(s):  
Zohre Moattar Husseini ◽  
Behrooz Karimi ◽  
Seyed Mohamad Moattar Husseini ◽  
Seyed Hassan Ghodsipour
Keyword(s):  
Distribution Planning ◽  
Integrated Production ◽  
Multi Objective ◽  
Production Distribution

Coordinating lot sizing and integrated production and distribution scheduling with batch delivery and holding cost

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maedeh Bank ◽  
Mohammad Mahdavi Mazdeh ◽  
Mahdi Heydari ◽  
Ebrahim Teimoury
Keyword(s):  
Supply Chain ◽  
Lot Sizing ◽  
Mixed Integer ◽  
Time Interval ◽  
Content Type ◽  
Integrated Production ◽  
Holding Costs ◽  
Integrated Production And Distribution ◽  
Distribution Scheduling ◽  
Production And Distribution

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.

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