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Research on Intelligent Scheduling for Product Production Chain in Network Environment

Author: LiHongFeng
Tutor: ShengZhongQi
School: Northeastern University
Course: Mechanical Manufacturing and Automation
Keywords: Production scheduling Production chain Intelligent Method Ant Colony Algorithm Bee Colony Algorithm Multi-Agent
CLC: TH166
Type: Master's thesis
Year: 2008
Downloads: 49
Quote: 0
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Abstract


Production Scheduling is a modern enterprise management problems can not be avoided , it is the junction of the control and management integration . Up to give the business a strategic decision to put forward basis , down to arrange for the production and processing tasks , the guidance and supervision of the operation of the control layer . With the increasingly fierce global market competition and customer needs diversify , just for a single workshop production scheduling research has gradually can not adapt to the development and changes of the globalization of markets . This paper made ??a timely manner based on the scheduling of the production chain . Order demand , will have a certain production capacity of enterprises , to form a business alliance , the enterprises play to their strengths in order to achieve the optimal allocation of resources , thereby better fulfill its mandate , in order to achieve the purpose of shared interests . At the same time , the production scheduling of the production chain as supply chain management , but also need to focus on supply chain management . Since the majority of the scheduling problem is NP-hard combinatorial optimization problem to find a polynomial complexity optimization method is almost impossible . So many experts and scholars have made ??many efforts on the scheduling method . Swarm intelligence algorithms and scheduling method based on multi-agent technology has many advantages relative to the traditional method of scheduling , is becoming a hot spot of the current study . This article is the use of the ant colony algorithm and bee colony algorithm swarm intelligence algorithms and multi-agent method to solve a few problems in the production chain, production scheduling . This paper first gives the definition of the production chain , characteristics and their position in the supply chain management , and the future direction of development of the characteristics of each of the traditional scheduling methods and modern intelligent scheduling methods and scheduling method is summarized in the form of analysis and comparison . Thesis, the following types of issues : the first category : ant algorithm to solve the production chain formation , venture partner selection . The second type of problem : bee colony algorithm to solve scheduling problems within the production chain the production task occasional arrival . The third type of problem : using multi-agent method to solve the flexible scheduling problem of the production chain .

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CLC: > Industrial Technology > Machinery and Instrument Industry > Machinery Manufacturing Technology > Computer Integrated Manufacturing
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