| Title | An integrated open-loop supply chain network configuration model with sustainable supplier selection: fuzzy multi-objective approach |
|---|---|
| ID_Doc | 70290 |
| Authors | Çalik, A |
| Title | An integrated open-loop supply chain network configuration model with sustainable supplier selection: fuzzy multi-objective approach |
| Year | 2020 |
| Published | Sn Applied Sciences, 2, 3 |
| Abstract | Supply chain management is an essential part of most companies to reduce costs and increase the profit for a competitive business environment. The success of companies is directly connected to the performance of the supply chain. The sustainability of businesses broadly depends on the purchasing decision, and the process becomes more complex with resource limitations. In addition, relationships with suppliers are considered for optimal production and risk minimization in the supply chain network. This research aims to design and optimize a multi-echelon, multi-period, and multi-objective open-loop supply chain (OLSC) network design. The objectives are deemed to be the total costs, the minimization of environmental costs, and the maximization of the importance level of suppliers. Furthermore, a fuzzy approach based on interval type-2 fuzzy sets is designed to evaluate the supplier performance according to sustainable qualitative criteria. After determination of the weights of criteria and evaluation of suppliers by interval type-2 fuzzy numbers, the final score of suppliers is calculated based on the weights of criteria and evaluation scores. Three fuzzy programming approaches are utilized to solve the developed OLSC model. A numerical example is provided to validate the model and effectiveness of the proposed evaluation procedure. The results demonstrate the feasibility of the proposed evaluation procedure and the achievement of a compromise in the developed model. |
| https://link.springer.com/content/pdf/10.1007/s42452-020-2200-y.pdf |
Similar Articles
| ID | Score | Article |
|---|---|---|
73281
|
Pourjavad, E; Mayorga, RV Multi-objective Fuzzy Programming of Closed-Loop Supply Chain Considering Sustainable Measures(2019)International Journal Of Fuzzy Systems, 21, 2 | |
| 69860
|
Firoozi, M; Siadat, A; Salehi, N; Mousavi, SM A Novel Multi-Objective Fuzzy Mathematical Model for Designing a Sustainable Supply Chain Network Considering Outsourcing Risk under Uncertainty(2013) | |
| 22872
|
Momenitabar, M; Ebrahimi, ZD; Arani, M; Mattson, J; Ghasemi, P Designing a sustainable closed-loop supply chain network considering lateral resupply and backup suppliers using fuzzy inference system(2022) | |
| 65747
|
Nayeri, S; Paydar, MM; Asadi-Gangraj, E; Emami, S Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design(2020) | |
| 5012
|
Foroozesh, N; Karimi, B; Mousavi, SM; Mojtahedi, M A hybrid decision-making method using robust programming and interval-valued fuzzy sets for sustainable-resilient supply chain network design considering circular economy and technology levels(2023) | |
| 76063
|
Kayani, SA; Warsi, SS; Liaqait, RA A Smart Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation in the Pharmaceutical Industry(2023)Sustainability, 15, 7 | |
| 22528
|
Ali, H; Zhang, JW; Shoaib, M A hybrid approach for sustainable-circular supplier selection based on industry 4.0 framework to make the supply chain smart and eco-friendly(2024)Environment Development And Sustainability, 26.0, 9 | |
| 65446
|
Jafari-Raddani, MH; Asgarabad, HC; Aghsami, A; Jolai, F A Hybrid Approach to Sustainable Supplier Selection and Order Allocation Considering Quality Policies and Demand Forecasting: A Real-Life Case Study(2024)Process Integration And Optimization For Sustainability, 8.0, 1 | |
| 1983
|
Zarbakhshnia, N; Govindan, K; Kannan, D; Goh, M Outsourcing logistics operations in circular economy towards to sustainable development goals(2023)Business Strategy And The Environment, 32, 1 | |
| 13686
|
Tsao, YC; Balo, HT; Lee, CKH Resilient and sustainable semiconductor supply chain network design under trade credit and uncertainty of supply and demand(2024) |