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Research on Production Planning and Scheduling for Carbon Enterprises Based on Genetic Algorithm
Author: WangWei
Tutor: YuanQingHe
School: Shandong University of Science and Technology
Course: Management Science and Engineering
Keywords: carbon enterprises master production planning workshop production scheduling genetic algorithm
CLC: F426.71
Type: Master's thesis
Year: 2010
Downloads: 105
Quote: 0
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Abstract
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With the increase of market competition, carbon enterprises is facing so many problems and challenges in productio management. Starting with the core of production management, namely, production planning and scheduling, this paper studied production planning and workshop scheduling in carbon enterprises under the production environment of MTO (Make-To-Order). The optimization methods and models of production planning were analysed, and the heuristic algorithm and genetic algorithm of workshop scheduling were discussed. The carbon material and carbon production were introduced and the production process flow of carbon enterprises was presented, the production type and characteristic of carbon enterprise were analysed, the main content and existing problem of production planning and scheduling in carbon enterprises were discussed. The processing method of custom order was analysed, according to Just-In-Time, the optimization model of master prodution planning in carbon enterprise based on the earliness and tardiness penalty cost minimization was established and genetic algorithm was proposed to solve the model, the detailed solution procedure was provided. The solution results had shown that the optimization model of prodution planning not only made the additional production cost minimum, but also meet production capacity and market demand. The inserted order processing method of carbon enterprises were discussed. According to the characteristics of carbon workshop, a carbon workshop scheduling model based on the makespan minimization, heuristic algorithm and genetic algorithm were proposed to solve the model respectively, the advantages and disadvantages of the heuristic algorithm and genetic algorithm was compared, the astringency and complexity of genetic algorithm were analysed. The results of the solving had shown that the application of the model in carbon workshop production scheduling not only minimized the makespan, but also improved productivity.
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CLC: > Economic > Industrial economy > China Industrial Economy > Industrial sector economy
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