List of Articles انتخاب تأمین کننده

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  1 - Providing mathematical model to select suppliers of production in the supply chain with the approach bee algorithm
  tajaddin eram Nasser fegh-hi farahmand Yaghoub Alavi Matin
  Selecting suitable suppliers and assigning orders to them, is one of the most important strategic supply chain management activities. In this research, a mathematical model for choosing the supplier in the supply chain in the framework of the operational research method More

  Selecting suitable suppliers and assigning orders to them, is one of the most important strategic supply chain management activities. In this research, a mathematical model for choosing the supplier in the supply chain in the framework of the operational research methods in dairy production units in the city of maku was proposed. The model was designed as Linear programming with assumptions such as supplying a variety of milk products with the same requirements, such as quality, timely delivery, obligations and envirmental require mental for all suppliers. This model includes parameters such as milk purchase cost, transportation cost, milk purchase, milk suppliers, production capacity, and minimum required milk. The objectives of this research include minimizing the cost of supplying milk, supplying the minimum required milk and selecting suitable suppliers of milk. the research method, mathematical descriptive, is applied in terms of purpose, Information gathering tools, such as documentation tools, interviews with experts and production managers were used in relation to production, to determine the sample size were selected by cluster sampling method and random sampling method. Due to complexity of the problem solving, the meta-heuristic bee algorithm approach using MATLAB software was solved. The results obtained from the findings showed that with the bee algorithm, the suitable supplier of milk was selected in the supply chain, so that the cost of milk supply minimized and the minimum material required was estimated by the suppliers. It is Conclude that the suggested bee algorithm is an acceptable performance in a suitable time period. Manuscript profile
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  2 - Evaluation and Selection of a Supplier by Interval DEA Models with Assurance Region: ADEA Approach to Efficient and Inefficient Frontiers
  Hossein Azizi Akbar Jafari Shaerlar
  Traditionally, suppliers evaluation and selection models based on basic data put less emphasis on ordinal data; however, with the extensive use of production philosophies, such as Just In Time (JIT) production, further emphasis is put on considering cardinal and ordinal More

  Traditionally, suppliers evaluation and selection models based on basic data put less emphasis on ordinal data; however, with the extensive use of production philosophies, such as Just In Time (JIT) production, further emphasis is put on considering cardinal and ordinal data simultaneously through the supplier selection process. Application of Data Envelopment Analysis (DEA) for the issues concerning the evaluation and selection of the supplier is based on the complete flexibility of weights. Yet, the problem is permissibility of complete flexibility of their weights, as the weight values obtained through the solving unrestricted DEA program are often contrary to the earlier viewpoints or the additional information. The present paper aims to propose interval DEA models with assurance region for evaluation and selection of the best supplier in the presence of weight restrictions and imprecise data. It proposes a new approach based on “DEA with efficient and inefficient frontiers” for evaluation and selection of the best supplier in the presence of weight restrictions and imprecise data. In this approach, optimistic and pessimistic efficiencies are considered simultaneously for each supplier. When the assurance region constraints are added to the interval DEA optimistic models, scores of calculated efficiency interval become worse and a supplier previously determined as the optimistic efficient supplier may be recognized as optimistic non-efficient. When the assurance region constraints are added to the interval DEA pessimistic models, scores of calculated efficiency interval are improved and a supplier previously recognized as a pessimistic inefficient supplier may be recognized as pessimistic non-inefficient. Comparing traditional DEA, DEA approach with efficient and inefficient frontiers may recognize the best supplier correctly and conveniently. A numerical example shows the application of the proposed approach.   Manuscript profile
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  3 - A Supplier Selection Model in order to Increasing Productivity (Case study: One of the Active firms in Manufacturing of Refinery Equipment)
  Ahmadreza Etemadi Ahmadreza Kasraei
  Supplier selection issue is one of the basic problems in all of the industries, especially in the oil industry. In such issues, multiple criteria and sometimes contradictory criteria must be considered. So, these problems are considered as multi-criteria problems. Suppl More

  Supplier selection issue is one of the basic problems in all of the industries, especially in the oil industry. In such issues, multiple criteria and sometimes contradictory criteria must be considered. So, these problems are considered as multi-criteria problems. Suppliers can have a huge impact on the performance of companies in different categories like price, quality, and delivery. Experts believe that there is not the best way for evaluating and selection and there are different methods in this field. In this study, first, with investigating other studies and interviews with experts and the basic criteria for supplier selection were identified and prioritized with Analytic Hierarchy Process. In the next step, according to the criteria and alternatives (suppliers), a hierarchical analysis model prepared and alternatives were also prioritized. In order to determine economic order quantity for one of the main needed parts, a hybrid goal programming and analytic hierarchy process have presented and by using real data, model run and the optimum order for the part was determined for each supplier. Manuscript profile
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  4 - Using Multi-Criteria Assessment Methods to Select Contractors with Regard to the Research Phase
  Sina Namazi Amir Sadeghi Mahmoud Modiri Zahra Gorajaghlo Shayan Satari
  Currently, there is no standard procedure for the selection of contractors, research areas and often taste the selection is done, it cannot be coordinated approach in this regard, often after the contract becomes clear that the contractor is properly chosen, is not. The More

  Currently, there is no standard procedure for the selection of contractors, research areas and often taste the selection is done, it cannot be coordinated approach in this regard, often after the contract becomes clear that the contractor is properly chosen, is not. Therefore, it is necessary to provide a model for decision-making in this area that the respective managers to assist in the selection of contractors. In fact, in this study, evaluation of knowledge providers such as universities, companies, and research centers studied Based and taking into account four criteria: 1. price 2. Delivery Time 4. 3. Quality of working experience and past performance as general criteria for selecting a contractor for research using fuzzy TOPSIS model to final supplier selection for the research we have discussed. Finally, a case study of 5 candidates and 4 decisions has been chosen to clarify the issue.       Manuscript profile
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  5 - Fuzzy Topsis and Goal Programming Integration Models to Select Suppliers and Allocation of Orders
  Ebrahim Noori Raj Mohamad Reza Lotfi Alireza Rashidi Komijan
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  6 - An analytical hierarchy process for suppliers' selection in an automotive industry
  ali khatami firuz abadi rouhollah khodaverdi
  Supplier selection and evaluation is increasingly studied as a critical decision in supply chain management. Various decision making approaches have been proposed to tackle this problem. Supplier selection is a complex multi criteria decision making problem including bo More

  Supplier selection and evaluation is increasingly studied as a critical decision in supply chain management. Various decision making approaches have been proposed to tackle this problem. Supplier selection is a complex multi criteria decision making problem including both quantitative and qualitative factors rather than a single factor such as cost in a traditional way. This paper proposes Analytical Hierarchy Process (AHP), as one of the multi criteria decision making (MCDM) approaches, for selecting and rating potential suppliers in an automotive industry. MCDM methods are formal approaches to structure information and decision evaluation in problems with multiple, conflicting goals. AHP integrates experts’ opinions and evaluation scores, and devises the complex decision making system into a simple elementary hierarchy system. The evaluation method in terms of ratio scale is then employed to perform relative importance pair-wise comparison among every criterion. Finally, a realistic case study is presented in which an automobile manufacturer evaluates and ranks the suppliers of "coil spring" part of "Tiba" automobile based on several criteria of supply reliability.  Manuscript profile
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  7 - A Fuzzy Multiple –Purpose Model for Selecting Suppliers
  Parham Soofi Maghsood Amiri
  Nowadays, supplying sources from outside a company has become an important business approach. A lot of models have been developed to solve the supplier selection problem. Among them, multiple criteria decision making (MCDM) has been used by lots of authors and researche More

  Nowadays, supplying sources from outside a company has become an important business approach. A lot of models have been developed to solve the supplier selection problem. Among them, multiple criteria decision making (MCDM) has been used by lots of authors and researchers with acceptable results. A review of literature on supplier selection shows that although supplier selection is a multi-objective problem, the nature of this multi objective problem has remained unknown. In many cases, except cost, other important parameters like quality, lead time and risk are not considered. Also practically, the effect of the nature of uncertain and imprecise facts on decision making like objectives, constraints and parameters can't be disregarded. To take account of these uncertainties, this research uses fuzzy method. Discount and costs due to inventory keeping in the goal function have been considered simultaneously. We also have considered objectives like decreasing the defected parts, and late delivery. Manuscript profile