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Research on Planning Problem with Different Inventory Strategy

Author: ZhangZuo
Tutor: LiuXiao
School: Northeastern University
Course: Management Science and Engineering
Keywords: Production plan Genetic Algorithms Capacity Constraints Production volume Outsourcing / Clearance
CLC: F274
Type: Master's thesis
Year: 2007
Downloads: 130
Quote: 0
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Abstract


The production plan is an important issue that runs through the entire manufacturing process to ensure the production of timely , accurate to meet the needs of the foundation . This article is designed mainly for the petrochemical industry the production batch planning solutions . Makes the production plan must have accurate cost control and rapid response characteristics of the products in the petrochemical industry inventory conditions require supply chain system is complex and diverse user demand , and , therefore , the calculation accuracy to meet the industrial requirements of the premise , the re- modeling of the problem and the development of efficient heuristic algorithms . Production plan , including the allocation of resources , such as raw materials and production capacity , reasonable arrangements for production planning in a timely manner in order to produce high-quality products to meet the demand , capacity constraints is resource / capacity constraints in the production process , including manpower, equipment , machines, money and so on. This article discusses the production plan is based on the ability to inventory policy constraints , a quantitative analysis method , the ultimate aim is to provide theoretical and methodological support for production management . This paper summarizes the theoretical results of research on the production volume , batch planning model based on the inventory policy capacity constraints of production , production planning model for outsourcing strategies and clearance strategy production batch model on top of this , to a theoretical basis for the algorithm to establish specific mathematical model and a heuristic algorithm to solve the model . Secondly, to improve on the traditional genetic algorithm , to make it better able to apply to capacity constraints , policy-based production planning model . For general outsourcing strategy model real-coded genetic algorithm is proposed , such as cross process boundary Search variability feasible range determination , reconciliation repair process such as the targeted problems of improvements ; clearance policy model , the design of the specifically address the problem of binary coded genetic algorithm , and highlight the algorithm will be binary codec actual solution process . Finally, two inventory policy data simulation of the production planning model were designed to prove the effectiveness of the algorithm , experiments show that the algorithm involved can achieve very good results in terms of accuracy and computational search time .

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