Name
Abstract | ||
|---|---|---|
Facing to imperfect quality and fuzzy random market demand in the real-life inventory management, a two-echelon supply chain system with one retailer and one manufacturer for perishable products is considered. Two fuzzy random models for the newsboy problem with imperfect quality in the decentralized and centralized systems are presented. The expectation theory and signed distance are employed to transform the fuzzy random model into crisp model. The optimal policies in the two decision-making systems are derived and analyzed contrastively. The theoretical analysis shows that manufacturer's repurchase strategy can achieve the increase in the whole supply chain profit. The influence of the fuzzy randomness of the demand and the defective rate on the optimal order quantity, the whole supply chain profit and the repurchasing price is analyzed via numerical examples. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.ijar.2010.04.002 | Int. J. Approx. Reasoning |
Keywords | Field | DocType |
fuzzy randomness,repurchasing coordination,supply chain coordination,fuzzy random market demand,whole supply chain profit,two-echelon supply chain system,fuzzy set,centralized system,fuzzy random newsboy problem,optimal order quantity,supply chain,optimal policy,fuzzy random variable,fuzzy random model,imperfect quality,crisp model,newsboy problem,imperfect items,profitability | Newsvendor model,Economic order quantity,Fuzzy logic,Operations research,Fuzzy set,Inventory control,Supply chain,Supply and demand,Mathematics,Randomness | Journal |
Volume | Issue | ISSN |
51 | 7 | International Journal of Approximate Reasoning |
Citations | PageRank | References |
9 | 0.50 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin-Song Hu | 1 | 17 | 2.14 |
| Hui Zheng | 2 | 73 | 15.94 |
| Ru-Qian Xu | 3 | 9 | 0.50 |
| Ya-Ping Ji | 4 | 16 | 0.98 |
| Cai-Yun Guo | 5 | 16 | 0.98 |