A Human-Asset-Compromised Allocation Model of Multiple Emergency Projects in Service-Focused Enterprises

Yan Wang, Liang Zhang, Wei Wang
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Abstract

Chinese enterprises have been conducting low-end processing for foreign brands. In recent years, they want to get rid of this high-pay low-income pattern and develop towards the high-end of the value chain. Most of them are transforming to service-focused enterprises that aim to provide customers with customized service. In service-focused enterprises, the human asset - like industry experts, technology experts, product experts and so on - is very important. Sometimes, the services provided by experts can directly affect the satisfaction of customers. Service-focused enterprises always have to face this challenge: multiple projects occur in emergency situations at the same time and need to dispatch multiple suitable experts from multiple places in order to respond. Under the constraint of human asset requirements on time and cost, this paper establishes an uncompromised resource allocation model for human asset emergency response. According to the characteristics of human asset emergency issues, the mathematical model can be presented to help solve the largescale emergency difficulties among multiple projects, multiple experts' types and multiple experts' locations. Finally, a case study is carried on to prove the algorithm's effectiveness.
服务型企业多应急项目的人力资产折衷配置模型
中国企业一直在为外国品牌进行低端加工。近年来,他们希望摆脱这种高薪低收入的模式,向价值链的高端发展。他们中的大多数正在转型为服务型企业,旨在为客户提供定制服务。在服务型企业中,人力资产——如行业专家、技术专家、产品专家等——是非常重要的。有时候,专家提供的服务会直接影响到顾客的满意度。服务型企业总是面临这样的挑战:在紧急情况下同时发生多个项目,需要从多个地方派遣多名合适的专家来应对。在人力资产需求对时间和成本的约束下,建立了人力资产应急响应的不妥协资源配置模型。根据人力资产应急问题的特点,可以建立数学模型,帮助解决多项目、多专家类型、多专家地点的大规模应急难题。最后,通过实例验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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