A fuzzy inventory model without shortages using triangular fuzzy number

P. K. De () and Apurva Rawat
Additional contact information
P. K. De: National Institute of Technology
Apurva Rawat: Banasthali University

Fuzzy Information and Engineering, 2011, vol. 3, issue 1, 59-68

Abstract: Abstract In business and industry it becomes very difficult for a manager to take concrete decision regarding inventory, as the data available to him are not always certain. Because uncertainty arises in demand, set-up resources & capacity constraints of an inventory planning system, it could be more justified to consider these factors in an elastic form. Therefore, with these uncertain data, fuzziness can be applied and the problem of inventory can be controlled. In the present paper, an inventory model without shortage has been considered in a fuzzy environment, by considering real-life data from the LPG store of Banasthali University. Triangular fuzzy numbers have been used to consider the ordering and holding costs. For defuzzification, signed-distance method has been used to compute the optimum order quantity.

Keywords: Inventory; Triangular fuzzy number; Defuzzification (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s12543-011-0066-9 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:fuzinf:v:3:y:2011:i:1:d:10.1007_s12543-011-0066-9

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/12543

DOI: 10.1007/s12543-011-0066-9

Access Statistics for this article

More articles in Fuzzy Information and Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().