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In real-life scenarios, service management involves complex decision-making processes usually affected by random or stochastic variables. Under such uncertain conditions, the development and use of robust and flexible strategies, algorithms, and methods can provide the quantitative information necessary to make better business decisions. Decision M
Table of Contents
Services and Decision Making: Stochastic Decision Making in Information Technology Services Delivery. Simulation-Based Studies on Dynamic Sourcing of Customers under Random Supply Disruptions. Customer Perceptions of Quality and Service System Design. Data Mining and Quality in Service Industry: Review and Some Applications. Software for Solving Real Service-Management Problems. Decision Making in Health Services: Logistics and Retail Pharmacies: Providing Cost-Effective Home Delivery of Prescriptions. Improving Pharmacy Operations Using Computer Simulation. Patient Prioritization in Emergency Departments: Decision Making under Uncertainty. Using Process Mapping and Capability Analysis to Improve Room Turnaround Time at a Regional Hospital. Decision Making in Logistic Services: Decision Making in Logistics Outsourcing from the Standpoint of Hiring Companies. Revenue Management of Transportation Infrastructure during the Service Life Using Real Options. Evaluating Different Cost-Benefit Analysis Methods for Port Security Operations. Vehicle Routing in Service Industry Using Decision Support Systems. Decision Making in Other Service Areas: Decision Support for Information Technology (IT) Service Investments under Uncertainty. An Inventory Criticality Classification Method for Nuclear Spare Parts: A Case Study. Service Technology, Pricing, and Process Economics in Banking Competition. Index.
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