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A three-level supply chain with warranty services, pricing and marketing decisions Competition and cooperation analysis

机译:具有保修服务,定价和营销决策的三级供应链竞争与合作分析

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Purpose - This paper aims to present various three-level service contracts among the following three participants: a manufacturer, an agent and a customer. The interaction between the aforementioned participants will be modeled using the game theory approach. Under non-cooperative and cooperative games, the optimal sale price, warranty period and warranty price for the manufacturer and the optimal maintenance cost (repair cost) and marketing expenditure for the agent are obtained by maximizing their profits. The satisfaction of the customer is also maximized by being able to choose one of the suggested options from the manufacturer and the agent, based on the risk parameter. Design/methodology/approach - Three-echelon supply chains with marketing and warranty services are studied. Game-theoretic approaches (non-cooperative and cooperative) are presented. The non-cooperative approaches are static (NE) and dynamic (Stakelberg) models. The cooperative approach is related to bargaining models (Nash bargaining games). The authors develop a sensitivity analysis of some parameters and their effect. Findings - Based on the mentioned drawbacks (i.e. lack of a model containing warranty, marketing and pricing), despite their importance, a developed model is proposed in this research to cover one of the research gaps. In addition, main contributions of this paper that differentiate it from the existing papers are regarding inventory, lost sale and lost goodwill, which are significant in the comparison environment. Another advantage of this study is related to the solution approach, the game theory. Twofold of the games theoretical, i.e. cooperative (in three forms) and non-cooperative are considered, because of their importance. Three types of non-cooperative games are presented as follows: Nash equilibrium - each echelon decides respectively and simultaneously; manufacturer-Stackelberg - the manufacturer has more power than the agent and the agent has more power than the customer; and customer-Stackelberg - customer is leader of the agent and the agent is the leader of manufacturer. The involved cooperative game in this paper is the bargaining problem that the participants can determine how to share the additional profits. Originality/value - In this paper, various three-level service contracts will be presented among the following three participants: a manufacturer, an agent and a customer. The interaction between the aforementioned participants will be modeled using the game theory approach. Under non-cooperative and cooperative games, the optimal sale price, warranty period and warranty price for the manufacturer and the optimal maintenance cost (repair cost) and marketing expenditure for the agent are obtained by maximizing their profits. The satisfaction of the customer is also maximized by being able to choose one of the suggested options from the manufacturer and the agent, based on the risk parameter. Several numerical examples are used to illustrate the models presented in this paper. Finally, the authors develop a sensitivity analysis of some parameters and their effects on the objective functions.
机译:目的-本文旨在介绍以下三个参与者之间的各种三级服务合同:制造商,代理商和客户。上述参与者之间的互动将使用博弈论方法进行建模。在非合作和合作博弈中,制造商的最佳销售价格,保修期和保修价格,以及代理商的最佳维护成本(维修成本)和营销支出是通过最大化他们的利润来获得的。通过能够基于风险参数从制造商和代理商中选择建议的选项之一,也可以最大程度地提高客户的满意度。设计/方法/方法-研究具有营销和保修服务的三级供应链。提出了博弈论方法(非合作和合作)。非合作方法是静态(NE)和动态(Stakelberg)模型。合作方法与讨价还价模型(纳什讨价还价游戏)有关。作者对一些参数及其影响进行了敏感性分析。发现-基于上述缺点(即缺乏包含保修,营销和定价的模型),尽管它们很重要,但本研究提出了一种已开发的模型来弥补其中的一个研究空白。另外,本文的主要贡献是将其与现有文章区分开来,它们是关于库存,销售损失和商誉损失的,这在比较环境中很重要。这项研究的另一个优势与解决方法博弈论有关。由于理论的重要性,因此考虑了理论上的博弈的双重性,即合作(三种形式)和非合作。三种非合作博弈呈现如下:纳什均衡-每个梯队分别并同时决定;制造商-Stackelberg-制造商比代理商具有更大的权力,代理商比客户具有更大的权力;和客户-Stackelberg-客户是代理商的领导者,代理商是制造商的领导者。本文涉及的合作博弈是参与者可以决定如何分享额外利润的讨价还价问题。原创性/价值-在本文中,将在以下三个参与者之间提出各种三级服务合同:制造商,代理商和客户。上述参与者之间的互动将使用博弈论方法进行建模。在非合作和合作博弈中,制造商的最佳销售价格,保修期和保修价格,以及代理商的最佳维护成本(维修成本)和营销支出是通过最大化他们的利润来获得的。通过能够基于风险参数从制造商和代理商中选择建议的选项之一,也可以最大程度地提高客户的满意度。使用几个数值示例来说明本文介绍的模型。最后,作者对一些参数及其对目标函数的影响进行了敏感性分析。

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