Devolpment and Modeling of an Industrial Process Plan, Its Optimization using stochastic search Optimization Technique

Umer Asgher, Riaz Ahmad, Liaqat Ali
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Abstract

Industrial process planning is principally an association between design and development or final production and has vital function in the manufacturing systems. In this paper the under research industry is security vehicle manufacturing industry in Pakistan. First of all a fundamental process plan is developed and then modeled mathematically using progressive closed loop approach. Mathematically modeled process plan is then optimized in order to find optimal or sub optimal solutions. Research then investigates the capability of an innovative optimization technique called stochastic search in handling optimization of manufacturing process plan. This new technique of stochastic, searches the best approximate process planning solution. Finally the research examines the convergence of optimization techniques to an optimal solution for a manufacturing framework.
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工业流程计划的制定与建模及其随机搜索优化技术
工业过程规划主要是设计和开发或最终生产之间的联系,在制造系统中具有重要作用。本文研究的行业是巴基斯坦的安全车辆制造业。首先制定基本工艺方案,然后采用渐进式闭环方法进行数学建模。然后对数学建模的工艺计划进行优化,以找到最优或次最优解决方案。然后,研究了一种称为随机搜索的创新优化技术在制造工艺方案处理优化中的能力。这种新的随机工艺规划方法,用于寻找最优的近似工艺规划解。最后,研究考察了优化技术的收敛性,以获得制造框架的最优解。
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