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作 者:蒋忠中[2] 刘蕙祎 臧元基 何娜[2] JIANG Zhongzhong;LIU Huiyi;ZANG Yuanji;HE Na(School of Business Administration,Northeastern University,Shenyang 110167,China;Institute of Behavioral and Service Operations Management,Northeastern University,Shenyang 110167,China)
机构地区:[1]东北大学工商管理学院,辽宁沈阳110167 [2]东北大学行为与服务运作管理研究所,辽宁沈阳110167
出 处:《工程管理科技前沿》2023年第6期15-23,共9页Frontiers of Science and Technology of Engineering Management
基 金:国家自然科学基金重点资助项目(72331003);国家自然科学基金资助项目(71971052);国家自然科学基金青年资助项目(72302040);教育部人文社会科学研究资助项目(22YJC630031);中央高校基本科研业务费国防重大资助项目(2023GFZD01);东北大学博士后科研基金资助项目(20230105)。
摘 要:制造商如何基于客户细分科学地选择共享制造模式,制定服务策略,进而发挥共享制造优势、实现双方共赢是亟待解决的重要问题。为此,本文细分低效用与高效用两类客户,首先,分别针对全服务型共享制造模式和半服务型共享制造模式两种模式,构建并求解制造商在不同服务策略下的博弈模型。其次,通过对比分析提出制造商的最优服务策略,结果表明制造商的服务策略主要受到设备租金与市场中低效用客户占比影响。最后,对比不同模式下制造商的均衡利润,发现制造商的最优共享制造模式选择受到设备租金与基于客户细分的服务策略的影响。研究结论可为考虑客户细分的共享制造模式选择与服务策略优化研究提供有益的管理启示。It is an important problem to be solved urgently for manufacturers to scientifically select the shared manufac-turing mode and formulate service strategies based on customer segmentation,so as to give full play to the advantages of shared manufacturing and achieve win-win results for both parties.To this end,this paper subdivides two types of customers:low-utility and high-utility.Firstly,aiming at the two modes of full-service shared manufacturing mode and semi-service shared manufacturing mode,the game models of manufacturers under different service strategies are constructed and solved.Secondly,through comparative analysis,the manufacturer's optimal service strategy is proposed.The results show that the manufacturer's service strategy is mainly affected by equipment rent and the propor-tion of inefficient customers in the market.Finally,by comparing the equilibrium profits of manufacturers under different modes,it is found that the manufacturer's optimal shared manufacturing mode selection is affected by equipment rent and service strategy based on customer segmentation.The research conclusions can provide useful management implications for the study of shared manufacturing mode selection and service strategy optimization considering customer segmentation.
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