Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach

Fatrias, Dicky and Indrapriyatna, Ahmad Syafruddin and Meilani, Difana (2015) Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach. In: Industrial Engineering, Management Science and Applications 2015. Springer, pp. 521-529. ISBN 978-3-662-47199-9

This is the latest version of this item.

[img]
Preview
Text (Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach)
Fuzzy-Multi-Objective-Supplier-Selection-Problem.pdf

Download (18MB) | Preview

Abstract

In this paper, a multi-objective mathematical model is developed in fuzzy environment in which the vagueness in aspiration level of objectives and data imprecision regarding the selection criteria and related constraints are con- sidered simultaneously as a source of fuzziness. In the model, such data impreci- sion is presented based on the estimation of its possibility distribution to better capture the uncertainty. Finally, a fuzzy solution methodology is constructed by the aid of weighted additive aggregation function to derive optimal solution. As pre- liminary investigation, we report that the proposed model is more flexible and con- venient than the previous models whose imprecise parameters are treated as a given single estimated value.

Item Type: Book Section
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: Fakultas Teknik
Depositing User: Difana Meilani
Date Deposited: 21 Feb 2019 11:09
Last Modified: 25 Feb 2019 11:46
URI: http://repo.unand.ac.id/id/eprint/21815

Available Versions of this Item

  • Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach. (deposited 21 Feb 2019 11:09) [Currently Displayed]

Actions (login required)

View Item View Item