A Simulation-Based Methodology for Lot-Size Optimization

Y. Kou; Jian Jun Yang

doi:10.4028/www.scientific.net/KEM.392-394.866

Paper Titles

Distortion Prediction of Aerospace Monolithic Components due to Milling Process
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Network Architecture Based on 3-D Digital Design and Manufacture for Scaled Enterprise Ally
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Research on Temperature Field under Regular Gradient Heat Source of Milling Insert with Complex Groove Using Cellular Automata Algorithm
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Research on the Net Transparent Bridge Technology Based Single NC Machine’s Network Integration
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A Simulation-Based Methodology for Lot-Size Optimization
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Research and Development on Individual Virtual Intelligent Vehicles
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Finite Element Analysis of the Effects of Coated Tool on High Speed Orthogonal Machining
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Research on Integrated System of Information and Function Based on Virtual Prototyping Technology
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Precision Model of Predicting FDM Rapid Prototype Based on BP Neural Network
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A Simulation-Based Methodology for Lot-Size Optimization

Abstract:

In the process of lot size optimization, various factors such as machine capability and parts assembly lead time need to be considered. Within small batch and multi-items production environment, kitting parts entering to assembly systems in time may valid shorten product manufacturing period, and reduce the quantity of work-in-process (WIP). This paper built up a mathematical model with the objective function of reducing set up costs, shortening cycle of part production and reducing WIP and with constraints of machine capabilities, part process planning and kitting requirement. An object-oriented simulation model is established to control the behavior of logistics objects to meet the target functions through rules aggregation and constraints at the control points, resulting in an optimal production result.