An Approach for Supply Chain Management Contract Selection in the Oil and Gas Industry: Combination of Uncertainty and Multi-Criteria Decision-Making Methods

Yazdi, Amir Karbassi; Tan, Yong; Spulbar, Cristi; Birau, Ramona; Alfaro-Perez, Jorge

Abstract

The oil and gas industry plays a significant role in the economies of many countries today. Due to various factors, including oil price fluctuations, wars, sanctions, and many other instances, selling and supplying these products at low prices is necessary. As a result, the global economy may suffer as well. Supply chain management is one way to reduce the prices of these products. This study was conducted to identify supply chain management contracts in the oil and gas industry. The paper presents an application of multi-criteria decision-making (MCDM) for coping with uncertainty. We contribute to the literature by proposing a new hybrid MCDM method with gray numbers for ranking supply chain management contracts in the oil and gas industry. The results show that the factors for evaluating supply chain management contracts must be selected, and then according to these factors, the supply chain management contracts must be chosen. As a result, we provide our customers with the best deals and help oil and gas companies minimize their costs.

Más información

Título según WOS: An Approach for Supply Chain Management Contract Selection in the Oil and Gas Industry: Combination of Uncertainty and Multi-Criteria Decision-Making Methods
Título según SCOPUS: ID SCOPUS_ID:85138602788 Not found in local SCOPUS DB
Título de la Revista: Mathematics
Volumen: 10
Fecha de publicación: 2022
DOI:

10.3390/MATH10183230

Notas: ISI, SCOPUS