Food Cold Chain Equilibrium Based on Collaborative Replenishment
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional Autónoma de México
2014
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| _version_ | 1876423615630540800 |
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| author | H.J. Lan |
| author_facet | H.J. Lan |
| contents | Food Cold Chain Equilibrium Based on Collaborative Replenishment H.J. Lan L. Zhao L. Su' Z.G. Liu Ingeniería game equilibrium Food cold chain fixed point Method collaborative replenishment This article analyzes the food cold chain (FCC) equilibrium based on collaborative replenishment policy. The entirety of collaborative replenishment (ECR) includes one supplier, one retailer and one consumer. The two players join in the non-cooperative game. Both of them pursue their own ideal benefits and achieve the equilibrium in terms of food quantity and price. A new iterative algorithm based on the theory of fixed point is designed to improve the equilibrium model. A numeric example was set to identify the applicability of the model. The parameter sensitivity analysis shows that the overall profit of ECR will increase with consumers’ demand, while the customer satisfaction will decrease to some extent when the food deterioration rate and shortage cost increase, the overall profit of ECR will decrease. We find that the former leads to decreasing of the customer satisfactory and the latter do the opposite. Appropriate strategies should be chosen based on the actual situation for each equilibrium subject. 2014 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47431170004 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.12 |
| format | Artículo científico |
| id | redalyc_47431170004 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Food Cold Chain Equilibrium Based on Collaborative Replenishment H.J. Lan Ingeniería game equilibrium Food cold chain fixed point Method collaborative replenishment Food Cold Chain Equilibrium Based on Collaborative Replenishment H.J. Lan L. Zhao L. Su' Z.G. Liu Ingeniería game equilibrium Food cold chain fixed point Method collaborative replenishment This article analyzes the food cold chain (FCC) equilibrium based on collaborative replenishment policy. The entirety of collaborative replenishment (ECR) includes one supplier, one retailer and one consumer. The two players join in the non-cooperative game. Both of them pursue their own ideal benefits and achieve the equilibrium in terms of food quantity and price. A new iterative algorithm based on the theory of fixed point is designed to improve the equilibrium model. A numeric example was set to identify the applicability of the model. The parameter sensitivity analysis shows that the overall profit of ECR will increase with consumers’ demand, while the customer satisfaction will decrease to some extent when the food deterioration rate and shortage cost increase, the overall profit of ECR will decrease. We find that the former leads to decreasing of the customer satisfactory and the latter do the opposite. Appropriate strategies should be chosen based on the actual situation for each equilibrium subject. 2014 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47431170004 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.12 |
| title | Food Cold Chain Equilibrium Based on Collaborative Replenishment |
| topic | Ingeniería game equilibrium Food cold chain fixed point Method collaborative replenishment |
| url | https://www.redalyc.org/articulo.oa?id=47431170004 |