Name
Title | ||
|---|---|---|
A multi-objective approach for supply chain design considering disruptions impacting supply availability and quality. |
Abstract | ||
|---|---|---|
•The tradeoffs between costs and risk due to disruptions are studied to optimize a supply chain.•Operating, unsatisfied demand, tainted product, and inspection costs are explicitly considered.•Genetic algorithm combined with DEA can efficiently identify Pareto optimal supply chain designs. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cie.2018.05.026 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Disruption risks,Correlated failures,Supplier inspection,Stochastic programming | Objective approach,Mathematical optimization,Normal conditions,Data envelopment analysis,Supply chain,Engineering,Stochastic programming,Decision maker,Operating cost,Genetic algorithm | Journal |
Volume | ISSN | Citations |
121 | 0360-8352 | 1 |
PageRank | References | Authors |
0.36 | 22 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahmood Pariazar | 1 | 4 | 0.76 |
| Mustafa Sir | 2 | 42 | 9.57 |