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来源类型Peer Reviewed
规范类型其他
Managing capacity at a service facility: An experimental approach
Arango Aramburo, Santiago; Other authors; Delgado-Alvarez, Carlos A; Van Ackere, Ann; Larsen, Erik R
发表日期2018-06-07
出版年2018
语种英语
摘要

Delgado-Alvarez, Carlos A, Ann Van Ackere, Erik R Larsen and Santiago Arango Aramburo. 2017. “Managing capacity at a service facility: An experimental approach.” European Journal of Operational Research 259:1: 216-228.
Download reference Doi:https://doi.org/10.1016/j.ejor.2016.09.056

Most research in queuing has focused on the optimisation of performance and equilibrium analysis, with little attention to the understanding of how managers actually make decisions. In this paper, we use an experimental set-up to investigate the decision-making process in a queuing capacity expansion problem, in the presence of capacity adjustment delays. The experiment represents a queuing system with one facility and virtual customers who decide whether or not to patronise the facility. Subjects play the role of facility managers who adjust the facility's service capacity to maximise profits. We analyse the actions of the manager to provide new insights into how their behaviour affects the evolution and success of the service system. Our results identify three types of managers: incremental, lumpy and reactive investors, and indicate that these groups use different decision rules. The first group achieved the best performance, and the last group the worst. While managers’ decisions are influenced by the backlog of work and the available service capacity, they do not correctly account for their past, but not-yet-implemented, decisions.

 

主题Behavioral Experiments
URLhttps://efdinitiative.org/publications/managing-capacity-service-facility-experimental-approach
来源智库Environment for Development Initiative (Sweden)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/138522
推荐引用方式
GB/T 7714
Arango Aramburo, Santiago,Other authors,Delgado-Alvarez, Carlos A,et al. Managing capacity at a service facility: An experimental approach. 2018.
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