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Efficient service location design in government services [An article from: Journal of Operations Management]
Description
This digital document is a journal article from Journal of Operations Management, published by Elsevier in 2005. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This paper presents a decision support system for efficient service location design for an agency in the State of Michigan. We consider a total of 169 branch offices of the agency located in 79 counties that process a variety of transactions and provide services including automobile registrations, issuance of driver licenses, recreational vehicle registration, and personal identification registry. The proposed methodology and decision support system incorporate a number of factors such as branch office efficiencies based on multiple measures, budget restrictions, capacity limitations for processing transactions, and demand requirements in designing an efficient service system. Our approach employs data envelopment analysis (DEA) and mixed-integer programming (MIP) models. A series of experiments are conducted with the proposed model by varying the levels of system-wide efficiency, resource reallocation, and budget in generating a set of decisions that executive management of the agency can implement. In addition, we investigate service channel management issues that the agency is currently facing in providing the services by web, phone, facsimile, and mail in addition to branch offices. We discuss how the branch closures influence channel management decisions.
Description:
This paper presents a decision support system for efficient service location design for an agency in the State of Michigan. We consider a total of 169 branch offices of the agency located in 79 counties that process a variety of transactions and provide services including automobile registrations, issuance of driver licenses, recreational vehicle registration, and personal identification registry. The proposed methodology and decision support system incorporate a number of factors such as branch office efficiencies based on multiple measures, budget restrictions, capacity limitations for processing transactions, and demand requirements in designing an efficient service system. Our approach employs data envelopment analysis (DEA) and mixed-integer programming (MIP) models. A series of experiments are conducted with the proposed model by varying the levels of system-wide efficiency, resource reallocation, and budget in generating a set of decisions that executive management of the agency can implement. In addition, we investigate service channel management issues that the agency is currently facing in providing the services by web, phone, facsimile, and mail in addition to branch offices. We discuss how the branch closures influence channel management decisions.
