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作 者:闫勇 张新卫[1] 王诗佳 YAN Yong;ZHANG Xinwei;WANG Shijia(School of Management,Northwestern Polytechnical University,Xi’an 710072,China)
出 处:《运筹与管理》2024年第5期132-139,共8页Operations Research and Management Science
基 金:教育部人文社会科学研究规划基金项目(19YJA630119);陕西省自然科学基础研究计划项目(2021JM-077);陕西省社会科学基金项目(2019S051);中央高校基本科研业务费专项资金项目(D5000210834)。
摘 要:在进行智能服务开发时,企业往往面临从服务集合选择部分服务进行开发的问题。考虑智能服务结果的不确定性,以及决策者偏好信息和服务所需资源信息的不准确性,提出一种基于多线性组合效用函数的智能服务组合选择方法。首先,针对智能服务结果的不确定性,利用多线性组合效用函数构建组合选择目标函数,并在考虑服务之间资源交互的基础上,建立混合整数规划模型并求解最优化服务组合。然后,考虑决策者偏好、智能服务效用评定信息及所需资源信息不准确情形,进行鲁棒分析,将最优组合出现的频率及各个服务被选择的频率作为最终选择的重要参考。最后,以某重卡企业智能服务组合选择问题为例,验证了方法的可行性与有效性。As an emerging type of service and value creation method,smart services driven by digital technology have gradually become an innovative development direction for service-oriented manufacturing.Companies utilize the vast amount of data generated by smart,interconnected products throughout their lifecycle,along with various big data analysis technologies,to form smart services driven by big data.These services play a significant role in enhancing customer satisfaction and increasing corporate performance.When developing smart services,companies face the challenge of selecting a few from a multitude of potential smart services for further development.Solving this problem requires considering not only the decision-maker’s preferences but also the resource constraints of the company and various uncertainties,with the aim of maximizing the decision-maker’s preferences.If the chosen portfolio of smart services is not reasonable,it will inevitably lead to losses for the company.Current research on smart service selection mainly utilizes multi-attribute decision-making methods to evaluate the weight of different services to support service selection.Portfolio decision analysis refers to the theory,methods,and practices of using mathematical models to help decision-makers select a subset of projects from a set of projects,taking into account preferences,related constraints,and uncertainties.The multilinear portfolio utility function can model richer decision-makers’preferences in terms of multiple attributes,uncertain project outcomes,project interactions,and risk preference compared to the additive portfolio utility function.It also has the advantage of reducing the number of parameters that need to be identified to a linear level,thereby lowering the difficulty of applying the multilinear portfolio utility function.However,most existing research based on the multilinear portfolio utility function is based on deterministic information.In the context of smart service selection,the decision-makers’preference inform
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