Optimal inventory modeling of supply chain system involving quality inspection errors and fuzzy defective rate

S. Priyan () and P. Manivannan ()
Additional contact information
S. Priyan: Mepco Schlenk Engineering College
P. Manivannan: Mepco Schlenk Engineering College

OPSEARCH, 2017, vol. 54, issue 1, No 2, 43 pages

Abstract: Abstract In this paper an integrated vendor–buyer supply chain model is designed for a defective inventory product. We provide a simple mathematical model for determining an optimal vendor–buyer inventory policy by accounting for fuzzy defective rate and quality inspection errors at the buyer’s end. In this study we fuzzify the defective rate to the triangular fuzzy number in the expected total cost of the entire supply chain. We then used the signed distance method to defuzzify the fuzzy total cost of the system and a methodology has been proposed to minimize this cost. We frame an iterative algorithm procedure to achieve the optimal solution of delivery lot-size, the total number of deliveries from the vendor to the buyer in one production batch, and it has been illustrated by way of a numerical example. Also sensitivity analysis are given to demonstrate the performance of the proposed methodology. Our results indicate that the optimal solutions of the fuzzy case slightly fluctuate from the solutions of the crisp case.

Keywords: Defective; Errors in quality inspection; Fuzzy number; Signed distance method (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s12597-016-0267-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:opsear:v:54:y:2017:i:1:d:10.1007_s12597-016-0267-4

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597

DOI: 10.1007/s12597-016-0267-4

Access Statistics for this article

OPSEARCH is currently edited by Birendra Mandal

More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().