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A Study of Inventory Models for Imperfect Manufacturing setup Considering Work-in-Process Inventory
Misbah Ullah,강창욱,Shehereyar Mohsin Qureshi 한국산업경영시스템학회 2014 한국산업경영시스템학회 학술대회 Vol.2014 No.추계
Optimum lot size calculation for real world manufacturing environment has been focused since last few decades. Several extensions have been made to the basic economic order and production order quantity models to realize the possible practical situations in industry. However, focus on work-in-process inventory has been ignored relatively. This paper provides a comprehensive review of the models developed for group technology based manufacturing environment focusing on work-in-process inventory. Models have been extended from a perfect manufacturing conditions to an imperfect manufacturing situation considering rework, rejection and inspection. Optimum lot size has been evaluated using a simple algebraic optimization approach. Significant parameters are highlighted using sensitivity analysis for the developed models. Numerical example is used to illustrate the utilization of such models in day-to-day production setups and the impact of significant factors' variation on total cost and optimum lot size.
A Study of Inventory Models for Imperfect Manufacturing Setup Considering Work-in-Process Inventory
미스바 울라(Misbah Ullah),강창욱(Chang W Kang),쉐리야르 모신 코레시(Shehereyar Mohsin Qureshi) 한국산업경영시스템학회 2014 한국산업경영시스템학회지 Vol.37 No.4
Optimum lot size calculation for real world manufacturing environment has been focused since last few decades. Several extensions have been made to the basic economic order and production order quantity models to realize the possible practical situations in industry. However, focus on work-in-process inventory has been ignored relatively. This paper provides a comprehensive review of the models developed for group technology based manufacturing environment focusing on work-in-process inventory. Models have been extended from a perfect manufacturing conditions to an imperfect manufacturing situation considering rework, rejection and inspection. Optimum lot size has been evaluated using a simple algebraic optimization approach. Significant parameters are highlighted using sensitivity analysis for the developed models. Numerical example is used to illustrate the utilization of such models in day-to-day production setups and the impact of significant factors' variation on total cost and optimum lot size.