Title | ||
---|---|---|
A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: A case study in plastic industry. |
Abstract | ||
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•A novel hybrid MCDM-MILP approach for SSS&OA problem is proposed.•Two types of quantity discounts along with disruption risks are considered.•The Best worst method (BWM) as a new published MCDM approach is used.•To solve the proposed model, a Revised Multi-Choice Goal Programming is applied.•The proposed model is verified by a real-world case study in the north of Iran. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.cie.2018.02.041 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Sustainable supplier selection,Revised multi-choice goal programming,Best worst method,Sensitivity analysis,Disruption risks,Quantity discounts | Order allocation,Mathematical optimization,Multiple-criteria decision analysis,Operations research,Robustness (computer science),Goal programming,Engineering,Sustainable development,Economic shortage,Total cost,Sustainability | Journal |
Volume | ISSN | Citations |
118 | 0360-8352 | 6 |
PageRank | References | Authors |
0.42 | 14 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Armin Cheraghalipour | 1 | 20 | 1.61 |
Saba Farsad | 2 | 6 | 0.42 |