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How to optimally configure its service resources is always a key for the service providers to improve efficiency and quality of service. Fail to optimize service capability often causes long queues in many on-site service outlets, for example, retail stores, bank branches or government agencies. A first step to do service capability configuration is to(More)
The facility location problem has been studied in many industries including banking network, chain stores, and wireless network. Maximal covering location problem (MCLP) is a general model for this type of problems. Motivated by a real-world banking facility optimization project, we propose an enhanced MCLP model which captures the important features of(More)
Facility network transformation (FNT) is a strategic approach involving assessing and optimizing the industrial facility networks such as new site selection, demand forecasting, performance evaluation in banking, retailing, etc. In practice, FNT requirements are often diverse, dynamic and industry specific, it's often difficult to implement a generic FNT(More)
In this paper, we consider the optimization of service rates in queueing systems, especially in closed Jackson networks. The optimization criterion is the customer-average performance, which is another important performance metric compared with the traditional time-average performance. Based on the methodology of perturbation analysis, we can derive a(More)
It is critical for retail enterprises to select good sites or locations to open their stores, especially in current competitive retail market. However, evaluating the goodness of sites in real business applications is a complex problem. That is, how to judge whether the market around a store site is good? We don't know the exact mechanism of how a site can(More)
As the competition becomes more and more intense, many retail small store chain operators are eager to know how to evaluate new store locations quantitatively to support a scientific business development decision, e.g. what will be the potential sales of new stores? How will a new store influence other existing stores? In this paper, we propose a novel(More)