Name
Title | ||
|---|---|---|
A production inventory supply chain model with partial backordering and disruption under triangular linguistic dense fuzzy lock set approach |
Abstract | ||
|---|---|---|
This paper focuses on a three-level distribution process in a supply chain (SC) modeling where the raw materials are received batchwise with imperfect quality. Defective batches are rejected instantly under “all or none” policy. Allowing partial backlogging and random disruption in supply, we develop an expected average cost function of the production inventory SC model first. Then, considering the several cost components of the model as linguistic triangular dense fuzzy lock set, the cost function itself has been fuzzified according to the needs of the problem defined at case study. Utilizing the proper application (growth) of key vectors, the objective function has been solved under crisp, general fuzzy, dense fuzzy, dense fuzzy lock of single and double keys environment, respectively. For managerial importance, numerical results and graphical illustrations are made to justify the novelty. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s00500-019-04254-2 | Soft Computing |
Keywords | Field | DocType |
Production inventory, Partial backlogging, Disruption, Supply chain, Linguistic triangular dense fuzzy lock set, Optimization | Production inventory,Mathematical optimization,Supply chain model,Imperfect,Lock (computer science),Computer science,Fuzzy logic,Average cost,Supply chain,Linguistics | Journal |
Volume | Issue | ISSN |
24 | 7 | 1432-7643 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sujit Kumar De | 1 | 43 | 8.01 |
| Gour Chandra Mahata | 2 | 41 | 5.28 |