Selection of Optimal Services Working on SCM Strategies Using Fuzzy Decision Making Methods

Supply Chain Management based organizations need to focus on development of strategies based on the services provided by them to stakeholders. To improve supplier chain value, optimal services need to be selected which may become agile based on the organizational factors. Agility can be differentiated at different levels of execution in SCM organization. Agility and leanness philosophies based on the range of products and services are provided by the organization. This paper focuses on the agility for services provided by SCM based organization. Since in every system there is fuzziness in its structure and function. The functional fuzziness can be easily reduced and compared to structural fuzziness. In this paper different methods based on fuzzy decision methods are compared for strategy development. Each service provided by organization is mapped with SCM strategies. From this set of services, optimal service is selected. This paper explains a case study of an organization working on SCM strategies. To find optimal service, different decision methods like Saaty's method, minimization of maximal regret method, AHP method, ranking method, and fuzzy average weighted method are compared to measure relativity of fuzziness in multiple objective frameworks by structuring the system hierarchically. This paper also shows advantages and disadvantage of these method as well as mathematical operation for selection of optimal services based on SCM strategies.