| Title: | Multi-objective Intuitionistic Fuzzy Linear Programming model for optimization of industrial closed-loop supply chain network |
|---|
| Authors: | ID Kousar, S. (Author)
ID Batool, M. (Author)
ID Kausar, N. (Author)
ID Pamucar, Dragan (Author)
ID Ozbilge, E. (Author)
ID Tantay, B. (Author) |
|---|
| Files: |  APEM17-3_381-393.pdf (838,66 KB)
MD5: 0B92426ADF5F44DDA6D02255574DE540
 https://apem-journal.org/Archives/2022/APEM17-3_381-393.pdf
|
|---|
| Language: | English |
|---|
| Work type: | Article |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: | FS - Faculty of Mechanical Engineering
|
|---|
| Abstract: | The urge to remanufacture and address environmental concerns in various industrial processes has drawn the attention of academics as well as practitioners towards Closed-loop Supply Chain Networks (CLSC). Although everchanging and complex external factors including social and economic ones, adversely impact the sustainable development of closed-loop supply chain networks. The basic aim of the research is to optimize the functioning of CLSC networks. For the above-said, two objective functions are made. The first objective is to minimize the cost of production and assembly expenses of the forward and reverse logistics. Secondly, an endeavour has been made to reduce the fixed costs associated with plants and retailers. For the sake of achieving two objective functions, two methods are employed: triangular fuzzy numbers and triangular intuitionistic fuzzy numbers. Among the two methods, triangular intuitionistic fuzzy numbers achieved the said objectives with greater optimization substantiated by statistics. This method can deal with uncertain external factors without undermining the optimization of the CLSC networks. |
|---|
| Keywords: | supply chain, closed-loop supply chain, multi-objective linear programming, modelling, optimization, fuzzy logic, intuitionistic fuzzy numbers |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Submitted for review: | 07.03.2022 |
|---|
| Article acceptance date: | 17.09.2022 |
|---|
| Publication date: | 30.09.2022 |
|---|
| Publisher: | Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering |
|---|
| Year of publishing: | 2022 |
|---|
| Number of pages: | str. 381-393 |
|---|
| Numbering: | Vol. 17, no. 3 |
|---|
| PID: | 20.500.12556/DKUM-97189  |
|---|
| UDC: | 658.7:510.644.4 |
|---|
| ISSN on article: | 1854-6250 |
|---|
| COBISS.SI-ID: | 269316099 |
|---|
| DOI: | 10.14743/apem2022.3.443 |
|---|
| Copyright: | Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
|---|
| Publication date in DKUM: | 23.02.2026 |
|---|
| Views: | 164 |
|---|
| Downloads: | 2 |
|---|
| Metadata: |    |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
