Integrated quality and quantity modeling of a production line

Jongyoon Kim and Stanley B. Gershwin ()
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Jongyoon Kim: Massachusetts Institute of Technology
Stanley B. Gershwin: Massachusetts Institute of Technology

A chapter in Stochastic Modeling of Manufacturing Systems, 2006, pp 121-148 from Springer

Abstract: Abstract During the past three decades, the success of the Toyota Production System has spurred much research in manufacturing systems engineering. Productivity and quality have been extensively studied, but there is little research in their intersection. The goal of this paper is to analyze how production system design, quality, and productivity are inter-related in small production systems. We develop a new Markov process model for machines with both quality and operational failures, and we identify important differences between types of quality failures. We also develop models for two-machine systems, with infinite buffers, buffers of size zero, and finite buffers. We calculate total production rate, effective production rate (ie, the production rate of good parts), and yield. Numerical studies using these models show that when the first machine has quality failures and the inspection occurs only at the second machine, there are cases in which the effective production rate increases as buffer sizes increase, and there are cases in which the effective production rate decreases for larger buffers. We propose extensions to larger systems.

Keywords: Quality; Productivity; Manufacturing system design (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-29057-5_6

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DOI: 10.1007/3-540-29057-5_6

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