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Transportation Dissertation

Title Developing a simulation model of production management for multiple factories
Year 2007
Summary

Chang-En Chiang, 2007,07
Institute of Traffic and Transportation National Chiao Tung University

  As the competitive environment of production industry changes fiercely, the market demand changes rapidly, in order to decrease the cost, and globalize production positions, companies expand and absorb factories, production factories positions become multiple from single, so the traditional production plan is not good enough anymore. So it is significantly important to plan and deal out resources and use information of multiple factories in this environment.

  The objective of this research is to develop a systematized simulation model of multiple factories production management, divide the system into four parts: entity objects, operational processes, relative information flows and decision systems.

  1. Entity objects include orders, materials, factories, distributorships and transportations, use the entity oriented characteristic of the simulation software to set attributes of all entity objects, make them can operate on system flows.
  2. Operational processes include centralized and single-factory operations, clarifying sequence and relations between all operations is significantly important in rationality of the system planning.
  3. Relative information flows include external information such as order and distributorship information, and internal information such as inventory, factory and transportation information. Input of distribution function in this research make the system more stochastic to close in real environment. All calculation and data collection processes are in accordance with relative information flows, so the accuracy and rationality of the parameters have to be considered deliberatively.
  4. Decision systems are the core of the simulation system, they include orders allocating and operation scheduling planning, and cross-factories supporting. Formulating decision criterion and decision point both influence the efficiency and fitness of use of the system.

  After simulation analyzing of scenario hypothesis, it can be observed that the simulation model is easy to observe result and has elasticity of modifiability, it can be adjusted by changing environment, so it can be treated as assistant tool of multiple factories production management.

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