Back to Search Start Over

Alternative fabrication scheme to study effects of rework of nonconforming products and delayed differentiation on a multiproduct supply-chain system

Authors :
Singa Wang Chiu
Hong-Dar Lin
Mei-Fang Wu
Yuan-Shyi Peter Chiu
Source :
International Journal of Industrial Engineering Computations, Vol 9, Iss 2, Pp 235-248 (2017)
Publication Year :
2018
Publisher :
Growing Science, 2018.

Abstract

This study uses an alternative fabrication scheme to study the effect of rework of nonconforming items and delayed differentiation on a multiproduct supply-chain system. Traditional economic production quantity model focuses on a single-product inventory system where all products made are assumed to be perfect quality and finished products are issued continuously. To increase machine utilization, lower quality costs in production, and reflect the real-world vendor-buyer integrated systems Chiu et al. (2016a) [Chiu, Y-S.P., Kuo, J-S., Chiu, S. W., Hsieh, Y-T. (2016a). Effect of delayed differentiation on a multiproduct vendor–buyer integrated inventory system with rework. Advances in Production Engineering & Management, 11(4), 333-344.] employed a single-machine two-stage production scheme to study the effects of rework and delayed differentiation on a multi-product supply-chain system. With the intention of further reducing fabrication cycle time, this study considers an alternative two-machine two-stage fabrication scheme to re-explore the problem in Chiu et al. (2016a). Machine one solely produces all common parts for multiple end products. Then, machine two fabricates the customized multiproduct using a common cycle time strategy. Through the use of mathematical modeling and analyses, the optimal production cycle length and distribution policy are derived. Numerical examples are provided to demonstrate practical usage of the research results, and show its significant benefit in reducing fabrication cycle time compared to that obtained from prior studies that used different schemes.

Details

ISSN :
19232934 and 19232926
Database :
OpenAIRE
Journal :
International Journal of Industrial Engineering Computations
Accession number :
edsair.doi.dedup.....07924e2f546d1e2186dfd0b5ed969467
Full Text :
https://doi.org/10.5267/j.ijiec.2017.6.001