Abstract
In the cutting edge of the business world it is impossible to overcome all of the challenges without contribution of subcontractors which means outsourcing activity. As a business practice outsourcing is hiring a party outside a company to do services or make goods that were conventionally performed by the company’s own employees and staff. It is usually undertaken as cost-cutting measure that can contain various types of occupations from manufacturing to the head office. Another point is about focusing on main points of business that outsourcing can handle this issues by spinning off less important operations to outside companies. The main objective of this paperwork is exhibiting how fuzzy analytical hierarchy process works to select appropriate subcontractor company. In this study three alternatives are compared over four criteria which characterize these companies based on their performance requirements respectively. In the aim of eliminating ambiguity of information and to calculate relative weights of selecting method, Fuzzy AHP has been chosen that can be effective tool to deal with the given problem.
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Suleymanli, R.M. (2022). Fuzzy Multi-criteria Decision Making Approach for Choosing the Best Subcontractor Company. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021. ICSCCW 2021. Lecture Notes in Networks and Systems, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-92127-9_100
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DOI: https://doi.org/10.1007/978-3-030-92127-9_100
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