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" Recent Research in Control Engineering and Decision Making / "
editors, Olga Dolinina, Alexander Brovko, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud and Vladik Kreinovich.
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Latin Dissertation
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| Language of Document
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English
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| Record Number
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52643
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| Doc. No
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TL22597
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| Call number
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3168811
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| Main Entry
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Mohammad Ahmad Mansour
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| Title & Author
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A generalized simulation model for flexible manufacturing system\ Mohammad Ahmad Mansour
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| College
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University of Missouri - Kansas City
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| Date
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2005
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| Degree
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Ph.D.
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| student score
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2005
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| Page No
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347
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| Abstract
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In today's hypercompetitive business word, the manufacturing of products requires flexibility and agility. Transforming ideas, material, and energy into reality entails the ultimate utilization of the constrained available resources. Production planning and control plays an influential part of sales potential and company growth. An active production plan must adapt with the variability and the uncertainty in the manufacturing process and the market demand. Therefore, a successful plan must have the ability to solve the incoming problem locally. Manpower, material, and budget must be exploited in an effective way. The optimal combination of production rate, work-force level, and inventory on hand is the key to minimizing the total production-related cost over the planning horizon. The assembly line balancing problem can be described as how to assign a sequence of tasks to different work stations. The distribution of tasks among workstations is based on the required time it takes to complete each task and the precedence constraints between these tasks. Achieving balance between the workstations requires dividing the total work content evenly among workstations. The work load of each work station is restricted by the cycle time between the entering of two consecutive product units in the station. In this research, elements of production planning and control will be discussed. A generalized simulation model for a flexible manufacturing system will be introduced. The source of variability is an essential factor in planning under uncertainty, therefore, a stochastic system for single, multi, and mixed model will be simulated to generate a flexible manufacturing schedule that meets all activity precedence constraints.
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| Subject
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Applied sciences; Assembly lines; Dynamic programming; Flexible manufacturing; Stochastic; Industrial engineering; Operations research; Systems design; 0790:Systems design; 0796:Operations research; 0546:Industrial engineering
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| Added Entry
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G. Chaudhry
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University of Missouri - Kansas City
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