Human errors incorporation in work-in-process group manufacturing system
- Authors
- KANG, CHANG WOOK; Ullah, Misbah; Sarkar, Biswajit
- Issue Date
- Aug-2017
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- Human error Type I; Human error Type II; Group-technology; Optimal lot size
- Citation
- SCIENTIA IRANICA, v.24, no.4, pp.2050 - 2061
- Indexed
- SCIE
SCOPUS
- Journal Title
- SCIENTIA IRANICA
- Volume
- 24
- Number
- 4
- Start Page
- 2050
- End Page
- 2061
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/9110
- DOI
- 10.24200/sci.2017.4294
- ISSN
- 1026-3098
- Abstract
- Decisions, about product acceptance or rejection, based on technical measurement report in ultra-precise and high-tech manufacturing environment is highly challenging as product reaches final stage after high value-added processes. Moreover, the role of technical personnel in decision making process for inventory models with focus on group-technology manufacturing setup has been considered relatively less. Most of the literature assumes that decisions are perfect and error free. However, in reality, human errors exist in making such decisions based on measurement reports. This paper incorporates human errors into the decision making process focusing on group-technology inventory model, where high value-added machining processes are involved. Therefore, a mathematical model is developed for the optimal lot size considering human errors in the decision making process and the imperfect production process with focus on work-in-process inventory. Lot size is optimized based on average cost minimization by incorporating human error Type I and human error Type II. Numerical examples are used to illustrate and compare the proposed model with the previously developed models for group-technology high-tech manufacturing setups. The proposed model is considered more flexible as it incorporates imperfection in process with human errors in decision making process. (C) 2017 Sharif University of Technology. All rights reserved.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.