Constructing Meta-Knowledge on Job-Machine Assignment
Date Issued
2012
Date
2012
Author(s)
Chun, King-Fai
Abstract
In the semiconductor manufacturing industry, Batch mode of production has become one of the main tools for production, the time variable for the control of the production system is important factor.
In this study, probability of setup model for two machine loading policy (Time Batching Policy and Job Batching Policy) is studied. Under a Product Mixes, Time Bucket Size and Batch Size how to affect the setup times for the product variety on the manufacturing system, and use simulation model on Arena as a tool for verification. Analysis of both policies and found that uneven product mixes will gain lower probability of setup. Design the Job-Machine Assignment Model based on Time Batching Policy, find that product mixes affected by arrival rate, rather than machine assignment. After generalize the Meta-Knowledge, exempt from recalculate the optimal production scheduling when the work orders or machine capability restrict are changed.
Subjects
Product Mixes
Type
thesis
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