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FALSE FAILURE RETURNS： optimal pricing AND RETURN POLICIES IN A DUAL-CHANNEL SUPPLY CHAIN

Journal of Systems Science and Systems Engineering 2018年第3期27卷 292-321页

作者： Guojun Ji Shangqing Han Kim HuaTan School of Management Xiamen University 361005 Fujian China Operations Management & Information Systems Division Nottingham University Business School

This paper aim is to examine the optimal pricing and return policies for false failure returns in a dual-channel supply chain. Four prevailing return policies in which a manufacturer both operates an E-shop and sells its product through a brick-and-mortar retailer are analyzed, i.e. （I） the manufacturer handlings E-shop＇s returns, while the retailer addresses brick-and-mortar store＇s returns （NR）; （II） the retailer tackles the whole （both E-shop＇s and brick-and-mortar store＇s） returns （ORR）; （III） the manufacturer tackles the whole returns （ORM）; and （IV） the manufacturer and the retailer are jointly responsible for the whole returns （RRM）. Firstly, the optimal pricing and return policies comparing these four scenarios under uniform-pricing strategy are presented. Our conclusions show that the ORR is an optimal return policy. Compared with the NR, consumers will get a lower product pricing under the ORR and a higher product pricing under the ORM. With regard to the RRM, the product pricing is depended on consumer preference, return-rates of the E-shop and the brick-and-mortar store. Then, the optimal pricing and return policies are analyzed under differential-pricing strategy by conducting two-stage sequential games between the manufacturer and the retailer. The findings show that if consumers in the market prefer to purchase via the E-shop, the ORR is an optimal return policy. Otherwise, the NR is the optimal return policy. Compared with the NR, the ORR retailer＇s product pricing will rely on the retailer＇s and the manufacturer＇s return-costs; the RRM retailer＇s product pricing will depend on the return-costs of the retailer and the manufacturer, the return-rates of the E-shop and the brick-and-mortar store and so on. Finally, the influences of the manufacturer and the retailer establishing a Buy-back contract are discussed. Our results illustrated that the Buy-back contract doesn＇t affect optimal pricing and return policies under both the uniform and the differen

关键词： Dual-channel optimal return policy optimal pricing false failure returns game theory

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optimal pricing for a Manufactured and a Remanufactured Products in a Fuzzy Environment

Optimal Pricing for a Manufactured and a Remanufactured Prod...

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第二十九届中国控制会议

作者： ZHAO Jing1,WEI Jie2,CHEN Bowen2 1.School of Science,Tianjin Polytechnic University,Tianjin 300160,P.R.China2.General Courses Department,Academy of Military Transportation,Tianjin 300161,P.R.China

The optimal pricing decision problem of a manufactured and a remanufactured products in a fuzzy environment is considered in this *** fuzziness is associated with the customer demands and the remanufacturing *** using game theory and fuzzy theory,the optimal decision on wholesale price,retail prices and remanufacturing rate are explored under the centralized and decentralized decision cases,and the expressions for them are also established.

关键词： optimal pricing Game Theory Manufactured and Remanufactured Products Fuzzy Theory

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Analysis of a Joint pricing and Seat Allocation Model in a Hub-to-Hub Airline Network

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Journal of the Operations Research Society of China 2016年第3期4卷 309-333页

作者： Hong-Zhi He School of Economics and Management Luoyang Institute of Science and TechnologyLuoyang 471023HenanChina

In airline revenue management,after differentiating products on each itinerary according to various restrictions,management needs to set the prices for the products.A deterministic joint pricing and seat allocation model is *** is reduced to a separable concave programming problem and thus readily *** on a special hub-to-hub airline network,monotonicity of the pricing decisions is *** a nonlinear primal–dual technique,it is shown that some itineraries’optimal prices are decreasing,while some other itineraries’optimal prices are increasing with a capacity change in either a side leg or the middle *** structural properties add important managerial insights into the pricing model for revenue managers in an airline company.

关键词： optimal pricing Airline network Structural properties Primal-dual

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optimal Price Strategy under Price-Matching Policy

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Journal of Applied Mathematics and Physics 2020年第12期8卷 2981-2998页

作者： Vivian Okere Wen Chen Providence Business School Providence College Providence RI USA

The paper explores the optimal price strategy under the price-matching policy. First, the paper formulates the demand function under the price match policy and then discovers the retailer’s best response facing the price-matching pressure. From the theoretical analysis, we discover how the number of retailers plays an important role during the competition. When only two retailers are involved, the final prices may not converge to a single value. However, when more retailers are involved, the final price will converge to a single value. We also use numerical studies to illuminate the change of the prices over the time period, the sensitivity of the final price to the increment/decrement of initial prices. Finally, we provide managerial suggestions to both producers and retailers.

关键词： Price-Matching Policy optimal pricing Retail Management

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考虑排放成本的共享电动汽车和共享停车位最优组合定价研究

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管理科学 2022年第5期

作者：姬杨蓓蓓陈欣萌成枫

相比于燃油汽车而言，共享电动汽车具有排放低，能耗小的优点。然而城市中心区域共享电动汽车有限的停车泊位阻碍了共享电动汽车的出行需求。本文首先分析了在城市中心区域的办公建筑物附近建立毗邻居住区共享停车位作为共享电动汽车的... 详细信息

相比于燃油汽车而言，共享电动汽车具有排放低，能耗小的优点。然而城市中心区域共享电动汽车有限的停车泊位阻碍了共享电动汽车的出行需求。本文首先分析了在城市中心区域的办公建筑物附近建立毗邻居住区共享停车位作为共享电动汽车的补充停车网点的可行性；其次，提出了以“共享电动汽车+共享停车位”（Shared Electric Vehicle+Shared Parking，SEV+SP）相结合的方式，作为早高峰私有小汽车和公共交通出行的一种补充方式，并基于瓶颈经济学探讨SEV+SP新出行模式的定价将如何影响社会效益、交通拥堵和系统交通排放成本。最后本文设计案例分析综合考虑社会效益和系统交通排放成本时，共享电动汽车时变租赁费用和共享停车费用的最优组合定价，以此为SEV+SP新出行模式提供定价依据。结果建议综合考虑社会效益和交通排放成本时，应设置较低的共享停车费用和较高的时变租赁费用；建议管理者在鼓励SEV+SP出行模式时，应充分考虑交通系统的拥堵压力，从减少交通排放的角度，应选取较小的权重指标。

关键词：交通排放社会效益共享电动汽车共享停车最优组合定价 Traffic emissions Total revenue Shared electric vehicles Shared parking optimal pricing

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