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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Bibliographic Details
Main Authors: Chia-Chi Chueh, 闕家騏
Other Authors: 應國卿
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/jhhen4
Description
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.