Integrated MCDM model for processes optimization in the supply chain management in the wood company | Zendy

Živko Erceg | Zendy; Fatima Mularifović | Zendy

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Integrated MCDM model for processes optimization in the supply chain management in the wood company

Author(s) -

Živko Erceg,

Fatima Mularifović

Publication year - 2019

Publication title -

operational research in engineering sciences theory and applications

Language(s) - English

Resource type - Journals

eISSN - 2620-1747

pISSN - 2620-1607

DOI - 10.31181/oresta1901015e

Subject(s) - ranking (information retrieval) , multiple criteria decision analysis , supply chain , procurement , sensitivity (control systems) , decomposition , supply chain management , computer science , consistency (knowledge bases) , order (exchange) , product (mathematics) , analytic hierarchy process , operations research , competitive advantage , selection (genetic algorithm) , strengths and weaknesses , process management , risk analysis (engineering) , business , engineering , mathematics , marketing , artificial intelligence , ecology , philosophy , geometry , finance , epistemology , electronic engineering , biology

Supply chain management (SCM) is a global strategy in nowadays business environment. It is needed It is necessary to manage a number of processes and activities on a daily basis in order to achieve a competitive advantage. In order to achieve adequate bases for successful functioning, it is necessary to know their abilities and weaknesses. In order to achieve this, it is necessary to perform the decomposition of the complete system. In this paper decomposition in wood company and supplier selection in subsystem of procurement has performed. For determining criteria weights are applied Full Consistency Method (FUCOM), while the ranking of supplier is performed using Weighted Aggregated Sum Product ASsessment (WASPAS) method. Obtained results are checked through sensitivity analysis that is formed with modeling of criteria weights. In sensitivity analysis it was found that changes in the significance of the criteria could influence the decision making and ranking of suppliers.

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