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Solving a real bi-objective skilled agent assignment problem in the service-to-business domain, considering both economic efficiency and agent satisfaction

机译:同时考虑经济效率和代理商满意度的服务到企业领域,解决实际的双目标熟练代理商分配问题

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In this article, we introduce a mixed integer linear programming (MILP) model for a real bi-objective agent assignment problem in the service-to-business domain. Agents with different skill types, skill levels and work contract types have to be assigned to tasks required by clients. Tasks usually require a big number of agents but this number is stable over time. Choosing the assignment, the company has two important objectives to attain including minimizing the global travel costs and maximizing the satisfaction level of its agents related to their average work trip duration. Based on the MILP model proposed, we perform some experiments on a real database provided by a Brazilian partner. These experiments allow us to study the interactions between the objectives, and the impact of some important characteristics on the solutions of the problem.
机译:在本文中,我们为服务到企业领域中的实际双目标代理分配问题引入了混合整数线性规划(MILP)模型。必须将具有不同技能类型,技能水平和工作合同类型的座席分配给客户所需的任务。任务通常需要大量的代理,但是这个代理随着时间的推移是稳定的。在选择任务时,公司要实现两个重要目标,包括最大程度地降低全球差旅费用和最大程度地提高其与平均工作时间相关的代理商满意度。基于建议的MILP模型,我们在巴西合作伙伴提供的真实数据库上进行了一些实验。这些实验使我们能够研究目标之间的相互作用,以及一些重要特征对问题解决方案的影响。

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