Journal of Production Research & Management
Volume 4, Issue 2 (2014)
Published
Table of contents
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Dynamic Cellular Manufacturing System: A Review
Abstract: Cell-formation procedures ignore any changes in demand over time caused by product redesign and uncertainties due to volume variation, part mix variation and resource unreliability till today. Nowadays for business environment product life cycles are short, demand volumes and product mix can vary frequently, in this context Cellular Manufacturing System (CMS) configuration for a period might not be an optimal or even not to be feasible for the next periods …
Published in Journal of Production Research & Management · Vol. 4, Issue 2, 2014 · pp. 1–11 Read article
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Dynamic Cellular Manufacturing System Design for Automated Factories
Abstract: In this paper, an integrated mathematical model of the multi-period cell formation in a dynamic cellular manufacturing system (DCMS) is proposed with the aim of getting the optimal cost for it. In DCMS, the formed cells in the current period may not be optimal for the next period, so the reconfiguration of the cell is needed, thus we have a tendency to use DCMS. The paper examines the influence of …
Published in Journal of Production Research & Management · Vol. 4, Issue 2, 2014 · pp. 12–30 Read article
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Reducing the Bullwhip Effect in a Supply Chain using Artificial Intelligence Technique
Abstract: The bullwhip effect in a supply chain leads to various inefficiencies like excessive inventory, quality problems, higher raw material costs, and poor customer service, which can be reduced by coordination and collaboration among partners of a supply chain with time bound information sharing; it requires full integration. However, full integration of the organizations of a supply chain is not possible in real case scenario due to existing differences of functions, …
Published in Journal of Production Research & Management · Vol. 4, Issue 2, 2014 · pp. 31–42 Read article
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Development of Overall Process Effectiveness for Continuous Flow Line in a Semiautomated Manufacturing System
Abstract: This paper presents Overall Process Effectiveness (OPE), a performance measurement approach in a manufacturing system. OPE evaluates the process parameters of continuous flow production that affect the performance and reliability of the process. Based on the overall equipment effectiveness (OEE) concept, OPE focuses on the evaluation of production processes that involve human and machines. The developed OPE is validated through a case study ininjection molding (IM) industry. OPE plays a …
Published in Journal of Production Research & Management · Vol. 4, Issue 2, 2014 · pp. 43–53 Read article