Authors: Jing Xu*, University of California, Santa Barbara, Alan T. Murray, University of California, Santa Barbara, Zifan Wang, University of California, Santa Barbara, Richard L. Church, University of California, Santa Barbara
Topics: Spatial Analysis & Modeling
Keywords: Covering modeling, facility workload
Session Type: Paper
Start / End Time: 8:00 AM / 9:40 AM
Room: Roosevelt 4, Marriott, Exhibition Level
Presentation File: No File Uploaded
Service system planning has long been supported by location coverage models designed to account for major logistics and operational features. An implicit but important feature of many systems supported by covering models is a facility’s workload, which can be an indicator of busyness and availability. In many contexts, the coexistence of both extremely high and low workloads can be a signal of poor system performance. Much research can be found on different modeling approaches and solution techniques to account for facility workload. However, little attention has focused on the context of spatial coverage. This paper reviews facility workload approaches to highlight comparative computational advantages.