DECISION SUPPORT SYSTEM FOR COST-BENEFIT ANALYSIS IN SERVICE PROVISION
Cost-benefit analysis is an approach to relate effort and cost of an activity to the resulting benefit. In this paper a novel decision support system for cost-benefit analysis in the context of service provision is proposed. Four decision support scenarios are investigated: (i) analyzing the impact of the services on cost and benefit, (ii) sensitivity analysis for the system variables, (iii) goal-seek analysis, and (iv) analyzing the impact of the services on operational resources. The key engine of the analysis approach is a Bayesian Belief Network (BBN). The BBN incorporates the key incoming, control and outgoing service parameters as well as their probabilistic relationships. In the sense of a hierarchical system, the variation of some of the parameters is guided by the results of optimizing operational resources being some of the BBN parameters. Weve evaluated the framework in a case study with the City of Calgarys Waste and Recycling Services. The results showed that using such a DSS facilitates the decision making process and improves the overall cost-benefit ratio.
Service Engineering Decision Support Systems Cost-benefit Analysis Bayesian Belief Networks
Emadoddin Livani Elham Paikari Günther Ruhe
Department of Electrical and Computer Engineering, The University of Calgary, Alberta, Canada Department of Electrical and Computer Engineering, The University of Calgary, Alberta, Canada Depart
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
2665-2670
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）