Contractors ranking in construction projects based on a fuzzy decision-making method: A case study in the National Iranian Oil Company

Prepared platforms and infrastructures are required for all companies' improvement to carry out their assigned missions. In this regard, construction contractors play their role as one of the main managers’ levers and are responsible for building the infrastructures. Quantity and quality of contractors’ services can have a quite direct impact on corporate strategies and their life trend, and outbreak as an advantage in competitive markets. Having a contractor that is the closest match with the project is intended to be among the principal tasks of the managers in project performance department. The contractor must have talents which effectively meet project requirements. A decision support system is obtained by prioritizing the determining and influential criteria in decision making, contractor selection, performing and defining the documents. Therefore, considering most of these numerous quality based indicators, Fuzzy multi-criteria decision-making methods can be used for contractor pre-qualification and selection to meet this objective. Accordingly, in this paper, a method based on FUZZY TOPSIS approach is presented to evaluate and rank the development of the National Iranian Oil Company Contractors

Contractors ranking in construction projects based on a fuzzy decision-making method: A case study in the National Iranian Oil Company

Prepared platforms and infrastructures are required for all companies' improvement to carry out their assigned missions. In this regard, construction contractors play their role as one of the main managers’ levers and are responsible for building the infrastructures. Quantity and quality of contractors’ services can have a quite direct impact on corporate strategies and their life trend, and outbreak as an advantage in competitive markets. Having a contractor that is the closest match with the project is intended to be among the principal tasks of the managers in project performance department. The contractor must have talents which effectively meet project requirements. A decision support system is obtained by prioritizing the determining and influential criteria in decision making, contractor selection, performing and defining the documents. Therefore, considering most of these numerous quality based indicators, Fuzzy multi-criteria decision-making methods can be used for contractor pre-qualification and selection to meet this objective. Accordingly, in this paper, a method based on FUZZY TOPSIS approach is presented to evaluate and rank the development of the National Iranian Oil Company Contractors

Contractors ranking in construction projects based on a fuzzy decision-making method: A case study in the National Iranian Oil Company

Prepared platforms and infrastructures are required for all companies' improvement to carry out their assigned missions. In this regard, construction contractors play their role as one of the main managers’ levers and are responsible for building the infrastructures. Quantity and quality of contractors’ services can have a quite direct impact on corporate strategies and their life trend, and outbreak as an advantage in competitive markets. Having a contractor that is the closest match with the project is intended to be among the principal tasks of the managers in project performance department. The contractor must have talents which effectively meet project requirements. A decision support system is obtained by prioritizing the determining and influential criteria in decision making, contractor selection, performing and defining the documents. Therefore, considering most of these numerous quality based indicators, Fuzzy multi-criteria decision-making methods can be used for contractor pre-qualification and selection to meet this objective. Accordingly, in this paper, a method based on FUZZY TOPSIS approach is presented to evaluate and rank the development of the National Iranian Oil Company Contractors

Ranking of manufacturers of mechanical parts based on a fuzzy multi-criteria decision making method: A case study in Iran National Steel Industrial Group

Considering multiple criteria in evaluating manufacturers, high number of parts, orders and manufacturers for supplying parts of machinery and equipment, selecting the right manufacturer is a serious problem in steel rolling and production factories. The use of Multi-Criteria and methods in decision-making plays an important role in the selection speed and accuracy. Because of multiple criteria in evaluating manufacturers, selecting a limited and effective number of manufacturers seems difficult, so this study aimed to rank potential suppliers in order to identify the best supplier. Decisions in the outsourcing of mechanical parts are made based on multi-criteria methods and grouped decisions. So, this article proposes a method based on the grouped fuzzy decision-making approach in order to evaluate and rank the most suitable suppliers for outsourcing activities in Iran National Steel Industrial Group. Using the proposed method, experts presented their opinions in linguistic words, a range of numbers, deterministic or fuzzy numbers. Then each supplier was ranked based on the model criteria. On this basis, the most effective criteria in selecting companies were also identified

Ranking of manufacturers of mechanical parts based on a fuzzy multi-criteria decision making method: A case study in Iran National Steel Industrial Group

Considering multiple criteria in evaluating manufacturers, high number of parts, orders and manufacturers for supplying parts of machinery and equipment, selecting the right manufacturer is a serious problem in steel rolling and production factories. The use of Multi-Criteria and methods in decision-making plays an important role in the selection speed and accuracy. Because of multiple criteria in evaluating manufacturers, selecting a limited and effective number of manufacturers seems difficult, so this study aimed to rank potential suppliers in order to identify the best supplier. Decisions in the outsourcing of mechanical parts are made based on multi-criteria methods and grouped decisions. So, this article proposes a method based on the grouped fuzzy decision-making approach in order to evaluate and rank the most suitable suppliers for outsourcing activities in Iran National Steel Industrial Group. Using the proposed method, experts presented their opinions in linguistic words, a range of numbers, deterministic or fuzzy numbers. Then each supplier was ranked based on the model criteria. On this basis, the most effective criteria in selecting companies were also identified

Ranking of manufacturers of mechanical parts based on a fuzzy multi-criteria decision making method: A case study in Iran National Steel Industrial Group

Considering multiple criteria in evaluating manufacturers, high number of parts, orders and manufacturers for supplying parts of machinery and equipment, selecting the right manufacturer is a serious problem in steel rolling and production factories. The use of Multi-Criteria and methods in decision-making plays an important role in the selection speed and accuracy. Because of multiple criteria in evaluating manufacturers, selecting a limited and effective number of manufacturers seems difficult, so this study aimed to rank potential suppliers in order to identify the best supplier. Decisions in the outsourcing of mechanical parts are made based on multi-criteria methods and grouped decisions. So, this article proposes a method based on the grouped fuzzy decision-making approach in order to evaluate and rank the most suitable suppliers for outsourcing activities in Iran National Steel Industrial Group. Using the proposed method, experts presented their opinions in linguistic words, a range of numbers, deterministic or fuzzy numbers. Then each supplier was ranked based on the model criteria. On this basis, the most effective criteria in selecting companies were also identified