A MODEL FOR DETERMINING OPTIMAL BATCH SIZES OF MULTI-FEATURED PRODUCTS WITH RANDOM PROCESSING ACCURACIES UNDER QUALITY AND COST CONSTRAINTS

Authors

  • Dongmin Shin Hanyang University, ERICA Campus
  • Jeongyeon Kim Hanyang University, ERICA Campus
  • Geunho Cho Hanyang University, ERICA Campus
  • Sun Hur Hanyang University, ERICA Campus

DOI:

https://doi.org/10.23055/ijietap.2017.24.1.1903

Keywords:

industrial engineering, production, manufacturing engineering, quality management

Abstract

Determining an optimal batch sizes in a production system that produces defective items has been the primary focus of manufacturing sector. Depending on the proportion of defectives, the amount of optimal batch size also varies depending on several cost factors such as setup cost, order cost, and defective cost. In this paper, models for the optimum batch sizes in a multi-featured products production system have been developed for quality and cost constraints. In determining the optimal batch size of products, we consider two factors the one is tool capability and another is set-up accuracy based on feature. The mathematical structure of this model has been proposed and results are demonstrated through Illustrative examples. And we compared the optimal batch sizes accordance with change in cost ratio.

Author Biographies

Dongmin Shin, Hanyang University, ERICA Campus

Dongmin Shin received the BS and the MSdegrees in industrial engineering fromHanyang University, Seoul, Korea, in 1994,and Pohang University of Science andTechnology (POSTECH), in 1996,respectively. He earned the PhD degree in theDepartment of Industrial and ManufacturingEngineering at the Pennsylvania State University, University Park,USA, in 2005. Currently, he is an assistant professor in theDepartment of Information and Industrial Engineering at HanyangUniversity, Ansan, Korea. He has held a postdoctoral position in theDepartment of Industrial and Manufacturing Engineering at thePennsylvania State University and a research position at HyundaiMotors, Namyang, Korea. His research interests include discrete event system control, computer integrated manufacturing, and human-automationinteraction systems. 

Sun Hur, Hanyang University, ERICA Campus

Sun Hur received his BS and MS degrees fromthe Department of Industrial Engineering ofSeoul National University, Seoul, Korea, in 1983and 1985, respectively. He also received the PhDfrom Texas A&M University, College Station,Texas, USA, in 1993. He worked in SamsungElectronics Co. from 1984 to 1986. He was withthe Industry Research group in Samsung Economic Research Institutefrom 1986 to 1990. He has been a full professor with the Department ofIndustrial and Information Engineering of Hanyang University, Ansan,Korea since 1995. His research interests include stochastic processes,queueing theory, reliability, performance analysis of telecommunicationsystems, and information management

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Published

2017-09-12

How to Cite

Shin, D., Kim, J., Cho, G., & Hur, S. (2017). A MODEL FOR DETERMINING OPTIMAL BATCH SIZES OF MULTI-FEATURED PRODUCTS WITH RANDOM PROCESSING ACCURACIES UNDER QUALITY AND COST CONSTRAINTS. International Journal of Industrial Engineering: Theory, Applications and Practice, 24(1). https://doi.org/10.23055/ijietap.2017.24.1.1903

Issue

Vol. 24 No. 1 (2017)

Section

Production Planning and Control

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