首页> 外文期刊>Journal of industrial and management optimization >ONLINE AND OFFLINE COOPERATION UNDER BUY-ONLINE, PICK-UP-IN-STORE: PRICING AND INVENTORY DECISIONS
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ONLINE AND OFFLINE COOPERATION UNDER BUY-ONLINE, PICK-UP-IN-STORE: PRICING AND INVENTORY DECISIONS

机译:网上购买,商店提货下的在线和离线合作:定价和库存决定

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摘要

This study considered the problem of pricing and inventory decision-making where an online retailer and an offline retailer cooperate in a setting where buy-online, pick-up-in-store (BOPS) is implemented. Given the extra revenue generated from additional sales by BOPS customers who purchase additional products at the offline outlet, we considered revenue sharing, service subsidy, and inventory subsidy contracts among the coordinating supply chain partners. Optimization models under centralized and decentralized decision-making structures were established, and the solution was found for the equilibrium states of these optimization models. The results from numerical experiments were examined. We found that (1) the optimal stocking factor had different variation trends with the increase in additional sales under a centralized structure and under the three contracts in decentralized scenarios; (2) the revenue sharing contract was the most effective among the three contracts for coordinating online and online retailers, and it was optimal for both retailers if the additional sales parameter was relatively low and online cost share was small; and (3) an inventory subsidy contract had strong operability and steadiness under different product characteristics.
机译:这项研究考虑了定价和库存决策的问题,在这种情况下,在线零售商和线下零售商在实施在线购买,店内提货(BOPS)的环境中进行合作。鉴于在离线商店购买额外产品的BOPS客户的额外销售产生的额外收入,我们考虑了协调供应链合作伙伴之间的收益共享,服务补贴和库存补贴合同。建立了集中式和分散式决策结构下的优化模型,并为这些优化模型的平衡状态找到了解决方案。检查了数值实验的结果。我们发现(1)在分散的情况下,在集中式结构和三个合同下,最佳库存因子的变化趋势随附加销售的增加而变化; (2)收益共享合同是协调在线和在线零售商的三项合同中最有效的,如果附加销售参数相对较低且在线成本份额较小,则这对于两家零售商都是最佳的; (3)不同产品特性下的库存补贴合同具有较强的可操作性和稳定性。

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