Minimizing Total Weighted Tardiness and Carbon Emission for Two Machine Flowshops with Batch Processing Machines
碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 102 === Batch processing machines (BPMs) are encountered in many different environments such as chemical processes performed in tanks or kilns and burn-in operations in semiconductor industrials. With the rise of environmental awareness, each factory heavily empha...
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2014
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Online Access: | http://ndltd.ncl.edu.tw/handle/jhhen4 |
Summary: | 碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 102 === Batch processing machines (BPMs) are encountered in many different environments such as chemical processes performed in tanks or kilns and burn-in operations in semiconductor industrials. With the rise of environmental awareness, each factory heavily emphasizes reducing carbon emission. Therefore, this research dealt with the problem of scheduling jobs in a two machine flowshops with batch processing machines to minimize the carbon emission and total weighted tardiness minimized, and proposed a modified iterated Pareto greedy (MIPG) algorithm to solve the problem. The experimental results showed that the proposed MIPG algorithm outperformed the iterated Pareto greedy algorithm.
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