Evaluation of a Genetic Algorithm based Service Productivity Optimization
The development of efficient service projects is a critical success factor for companies. Often this goal can only be realized by developing project plans. The process of planning a service and optimizing the underlying project plan still lacks adequate knowledge and support. Existing approaches are not suitable for an optimization of services with regard to productivity prior to their implementation. To achieve improved service productivity, novel operations of a Genetic Algorithm (GA) for the prospective optimization of service projects are presented and benchmarked with plans developed by humans. As a result, managers will be able to develop service organizations related to optimal service productivity and thus avoid cost intensive false decisions.
genetic algorithm optimization plan efficiency plan effectiveness service productivity
S.Tackenberg S.Rieder S.Duckwitz C.M.Schlick
Institute of Industrial Engineering and Ergonomics,RWTH Aachen University,Germany
国际会议
厦门
英文
1528-1533
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）