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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 7 Issue 1 pp. 9-22 , 2017

Manpower allocation in a cellular manufacturing system considering the impact of learning, training and combination of learning and training in operator skills Pages 9-22 Right click to download the paper Download PDF

Authors: Masoud Rabbani, Elahe Akbari, Mahdi Dolatkhah

DOI: 10.5267/j.msl.2016.11.006

Keywords: Manpower allocation, Cellular manufacturing system, Operator’s learning and train-ing, Discrete event simulation

Abstract: In this article, a manpower allocation and cell loading problem is studied, where demand is sto-chastic. The inter-cell and intra-cell movements are considered and attention is focused on as-signing operators with different skill levels to operations, because cell performance in addition to load cell is dependent on manpower. The purpose of this article is manpower allocation in cellu-lar manufacturing with consideration to learning and training policies. The manpower skill levels are determined in order to enhance production rate. The main contribution of this approach is the scenarios of training and learning in addition to the combination of training and learning being simulated. By using these three scenarios, the skill level of workers increase which reduces the processing time. In this regard cell layout is static where processing times and customer demand follow a normal distribution. As one of the significant costs of industrial unit is related to pro-duction cost, this study has attempted to reduce these costs by increasing the skill level of opera-tor which causes to reduce the processing time. Scenarios are evaluated by using a simulation method that finally attained results indicate this simulation provides better manpower assign-ments.



How to cite this paper
Rabbani, M., Akbari, E & Dolatkhah, M. (2017). Manpower allocation in a cellular manufacturing system considering the impact of learning, training and combination of learning and training in operator skills.Management Science Letters , 7(1), 9-22.

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Journal: Management Science Letters | Year: 2017 | Volume: 7 | Issue: 1 | Views: 2923 | Reviews: 0

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