supply chain management
Abolfazl Sadeghian; Seyed Mohammad Ali Khatami Firouzabadi; Laya Olfat; maghsoud Amiri
Abstract
Nowadays attending to closed-loop supply chain matter for survival in competitive circumstances not only has been become a controversial topic but also has been considered as a critical topic too. Close loop supply chain has combined to direct and reverse flow (method/ manner). This paper’s goal ...
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Nowadays attending to closed-loop supply chain matter for survival in competitive circumstances not only has been become a controversial topic but also has been considered as a critical topic too. Close loop supply chain has combined to direct and reverse flow (method/ manner). This paper’s goal is presenting a model for inventory control in closed loop supply chain by multiple objective approach. This research intends to reach it's main goal including reduce expenses such as production, maintenance, transportation in direct flow also decrease the waste material and defective in reverse flow and in conclusion increase the company’s profit by desingning and optimizing multiple objective model. Hence a double purpose model in closed-loop supply chain consists three classes direct flow in which conclude suppliers, manufactures and customers. Furthermore this consists four classes in reverse flow that concludes: collection centers, inspection, repair centers, recycling centers and disposal centers. According to the article’s model, which is multipurpose, linear and integer, At the beginning the model convert to single objective by Weighting and Constraint method and then is solved by using Branch and bound algorithm and Lingo software. Finally, the model extended in Iran Khodro Company as a study case and its function validated. Results and output of model solving demonstrate its capability to be useful for planning and inventory control in closed-loop supply chain.
Seyed Mohammad Ali Khatami Firouzabadi; Hamid Moradi; Kamran Feizi
Abstract
Given the importance of financing small and medium-sized manufacturing companies in order to provide working capital and their profitability, this study has presented a mathematical model for financing these companies by factoring in the supply chain. Factoring is one of the most important ways to finance ...
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Given the importance of financing small and medium-sized manufacturing companies in order to provide working capital and their profitability, this study has presented a mathematical model for financing these companies by factoring in the supply chain. Factoring is one of the most important ways to finance the business world, especially for small and medium-sized enterprises. Therefore, considering the relationship between the enterprise and the bank, suppliers and buyers based on the integration of financial and physical flows in the supply chain, this research has financed the enterprise in the above-mentioned method. In order to analyze the validity of financing methods, goals, parameters and important variables in modeling, the perspective of experts based on the index of content validity ratio has been used. The goals of modeling are to maximize profits and achieve the desired liquidity in time periods, and in order to solve the model, goal programming has been used and in order to cover uncertainty conditions, interval programming has been used. Finally, the model was solved using GAMS software and CPLEX solver, and the results, in addition to proposing appropriate financial and physical flows in the supply chain, have proposed an appropriate factoring financing program to small and medium-sized manufacturing enterprises to provide the necessary liquidity in each period and increase profitability.
Amir Khorrami; Mohammad Taghi Taghavifard; Seyed Mohammad Ali Khatami Firouzabadi
Abstract
Credit risk assessment is one of the key issues for banks and financial institutions and various models have been developed for this. This study uses Case Based reasoning (CBR) Model and considers a database of bank credit customers to assess the credit risk of bank applicants. For this, 9 criteria were ...
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Credit risk assessment is one of the key issues for banks and financial institutions and various models have been developed for this. This study uses Case Based reasoning (CBR) Model and considers a database of bank credit customers to assess the credit risk of bank applicants. For this, 9 criteria were selected based on the experts' opinion and were weighted using the Fuzzy Analytical Hierarchy Process (FAHP). Return check, housing situation and income level are the most important criteria for credit risk assessment of the bank applicants. Then, using the TOPSIS Technique, we could evaluates the similarity of the new item with actual past cases or evaluate the new applicant with the ideal option, and uses a case-based reasoning model to predict the likelihood of default or non-default applicants. Survey research was applied for this study and the research community was the records of previous bank applicants between 1390-94 years. This research is an applied and descriptive and descriptive study. The results show that the accuracy of the CBR model is higher than other validation and ranking methods of bank customers. The use of the CBR model in order to authenticate customers has obtained results far better than the performance of the credit sector experts, which led to the judgment of default or non-default of customers, indicating the high performance of the model used in comparison to the model used by bank and validation experts. CBR leads to the design an expert, specialized and intelligent system which addition to storing data in a database, stores models and templates for use.
Seyed Mohammad Ali Khatami Firouzabadi
Volume 3, Issue 10 , September 2005, , Pages 1-11
Abstract
Strategic selection problem is a multi-criteria problem which includes conflicting tangible and intangible criteria. In order to select the most appropriate strategic alternative it is necessary to make tradeoffs between these criteria as well as taking into account the resource limitations which may ...
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Strategic selection problem is a multi-criteria problem which includes conflicting tangible and intangible criteria. In order to select the most appropriate strategic alternative it is necessary to make tradeoffs between these criteria as well as taking into account the resource limitations which may exist. Available methods neglect the distance concept which exists between the alternatives weights with regard to a single criterion and its target value. In this paper in addition to applying the Analytical Hierarchy Process (AHP) as a stand-alone methodology an integration of the AHP and Zero One Goal Programming (ZOGP) is proposed. In this integration each single criterion viewed as a constraint in a ZOGP model which enable the model to take into account not only the distances but also to consider the real resource limitation for tangible criteria. In order to justify the methodology, it is applied to selection of Advanced Manufacturing Systems (AMS).
