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Supply chain contracting coordination for fresh products with fresh-keeping effort

机译:鲜活产品的新鲜产品供应链合同协调

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摘要

Purpose – Fresh product loss rates in supply chain operations are particularly high due to the nature of perishable products. This paper aims to maximize profit through the contract between retailer and supplier. The optimized prices for the retailer and the supplier, taking the fresh-keeping effort into consideration, are derived.ud udDesign/methodology/approach – To address this issue, we consider a two-echelon supply chain consisting of a retailer and a supplier (i.e., wholesaler) for two scenarios: centralized and decentralized decision-making. We start from investigating the optimal decision in the centralized supply chain and then comparing the results with those of the decentralized decision. Meanwhile, a fresh-keeping cost-sharing contract and a fresh-keeping cost- and revenue-sharing contract are designed. Numerical examples are provided, and managerial insights are discussed at end.ududFindings – The results show that (a) the centralized decision is more profitable than the decentralized decision; (b) a fresh product supply chain can only be coordinated through a fresh-keeping cost- and revenue-sharing contract; (c) the optimal retail price, wholesale price and fresh-keeping effort can all be achieved; (d) the profit of a fresh product supply chain is positively related to consumers’ sensitivity to freshness and negatively correlated with their sensitivity to price.ud udOriginality/value – Few studies have considered fresh-keeping effort as a decision variable in the modelling of supply chain. In this paper, a mathematical model for the fresh-keeping effort and for price decisions in a supply chain is developed. In particular, fresh-keeping cost sharing contract and revenue-sharing contract are examined simultaneously in the study of the supply chain coordination problem.
机译:目的–由于易腐产品的性质,供应链运营中的新鲜产品损失率特别高。本文旨在通过零售商与供应商之间的合同使利润最大化。 ud ud设计/方法/方法–为解决此问题,我们考虑了两级供应链,其中包括零售商和供应商。供应商(即批发商)的两种情况:集中决策和分散决策。我们从调查集中式供应链中的最佳决策开始,然后将结果与分散决策的结果进行比较。同时,设计了一份保鲜费用分摊合同和一份保鲜费用分摊收入合同。 ud udFindings-结果表明:(a)集中决策比分散决策更有利可图; (b)新鲜产品供应链只能通过一份保鲜费用和收益分享合同进行协调; (c)可以达到最佳零售价,批发价和保鲜努力; (d)新鲜产品供应链的利润与消费者对新鲜度的敏感性呈正相关,与与消费者对价格的敏感性呈负相关。 ud ud原始性/价值–鲜有研究将保鲜工作视为决策变量。供应链建模。本文为供应链中的保鲜工作和价格决策建立了数学模型。在研究供应链协调问题时,尤其要同时审查保鲜成本分摊合同和收益分享合同。

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