Logistics Performances of Gulf Cooperation Council’s Countries in Global Supply Chains

Abstract

Regional integration into the Gulf Cooperation Council has enabled respective countries to effectively participate in global supply chains. To ensure effective integration of this region into global supply chains, logistics operations are a very important determinant. The aim of this study was to assess logistical performances of GCC countries, and to identify which country has the best conditions for establishing a regional logistic center. For this study, we used relevant data from Logistics Performance Index (LPI) developed by the World Bank. The research was conducted using a hybrid multicriteria approach based on the CRITIC and MABAC methods. The findings of this study indicate that the United Arab Emirates has the best conditions for establishing a regional logistics center. This study also releveled the areas of logistics in which other GCC countries should make an improvement to improve their logistical performance.

An integrated multi-objective optimization and multi-criteria decision-making model for optimal planning of workplace charging stations

“…The main feature of the presented model is the way of determining the weight coefficients of decision-making variables for defining the relationship among the variables that is based on the application of the logarithmic additive function and Dombi norms. Furthermore, the MCDM methods in the current literature such as WASPAS, CoCoSo, MABAC, and MAIRCA require the application of other objective or subjective methodologies to determine the weighting coefficients of the criteria [23,24,25]. The main advantages of the improved WASPAS model can be highlighted as follow: (i) enabling flexible decision-making and taking into account the interaction between decision attributes, (ii) considering the connection between the attributes and eliminating the impact of extreme/inconsistent data, (iii) possessing the flexibility that is expressed by the parameters 1 , 2 , and , (iv) allowing to control the robustness of the results by varying the parameters 1 , 2 , and and their influence on the final decision.…”

Selection of sustainable suppliers in the oil and gas industry using fuzzy multi-criteria decision-making methods

“…In fact, the higher companies' dependence on their suppliers, the direr the consequences of their wrong decisions. Meanwhile, the supplier selection is more sensitive in oil and gas projects due to expensive equipment, the necessity to have the required standards and safety, and the importance of time of arrival of this equipment to the project given the losses caused by daily delays in the project (especially in joint oil fields) in the country [6]. The selection of a set of suppliers is a crucial factor for organizational success.…”

“…A relatively new Multi-Criteria Decision-Making (MCDM) technique in the form of Measurement Alternatives And Ranking According to Compromise Solution (MARCOS) was later employed for ranking of a set of alternative suppliers. Stojanović and Puška [6] investigated growing countries' logistical performances and identified which country has the best conditions for establishing a regional logistic center. For this study, they used relevant data from Logistics Performance Index (LPI).…”

“…The conceptual model of the research and its indicators are obtained by modeling from the literature. The studied indicators are inspired by [3][4][5][6]21] and illustrated in Figure 2.…”

“…Choosing the right suppliers can significantly reduce purchasing costs and increase the competitiveness of the organization. In most industries, the cost of raw materials and components of the product is a large part of the cost of the product [5,6].…”