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作 者:Joshua Prakash Jeng Feng Chin
机构地区:[1]Faculty of Engineering and Green Technology,Universiti Tunku Abdul Rahman(UTAR),Kampar,Malaysia [2]School of Mechanical Engineering,University Sains Malaysia(USM),Nibong Tebal,Malaysia
出 处:《Journal of Management Analytics》2017年第3期296-320,共25页管理分析学报(英文)
基 金:This work was supported by The Ministry of Education Malaysia[USM FRGS 4471/J02];Universiti Tunku Abdul Rahman[UTARRF 6200/J09].
摘 要:This paper studies the effects of integrating four inventory classification methods into constant work-in-process(CONWIP)systems in a multistage batch production.The inventory classification methods are multiple closed-loop CONWIP(MCC),parallel CONWIP(PC),analytical hierarchy procedure,and weighted linear optimization(WLO).Discrete-event simulation models were built.A full-factorial experimental design was employed.Response surface methodology generated suitable regression models for performance comparison of different ABC analysis methods.In the second stage of experiment,the ABC analysis methods from the first stage were fine-tuned and compared.PC and WLO are the most preferred methods because of higher total outputs,lower work-in-process levels,and shorter flow times compared with the other two methods.However,the revenue accrued through WLO is higher than that accrued via PC.This study complements existing literature on price setting in manufacturing organizations by delineating classification of finished goods based on both exogenous and production factors.
关 键 词:analytical hierarchy procedure weighted linear optimization CONWIP ABC analysis inventory classification
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