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|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|19230||2010||9 صفحه PDF||سفارش دهید|
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|شرح||تعرفه ترجمه||زمان تحویل||جمع هزینه|
|ترجمه تخصصی - سرعت عادی||هر کلمه 90 تومان||11 روز بعد از پرداخت||603,000 تومان|
|ترجمه تخصصی - سرعت فوری||هر کلمه 180 تومان||6 روز بعد از پرداخت||1,206,000 تومان|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Expert Systems with Applications, Volume 37, Issue 12, December 2010, Pages 8313–8321
This study based on the attribute-based ant colony system (AACS) to construct a platform to examine the critical factors for decision making in a dynamic business environment in order to select the appropriate suppliers. Design/methodology/approach This study focuses on how to search for optimal suppliers in a similar fashion to how the optimal route can be found. The AACS is based on the ant colony system (ACS) algorithm, which is then modified to achieve the adaptive optimal system used to set the policy for companies to select their suppliers, as the researcher (as like source node) and chosen supplier’s attributes to be conditions of research (destination node). Findings At first, we provide the development of policy model and can effective and immediately to choose the best suppliers from the company’s policy and the attribute of suppliers. Secondly, this policy system is based on the platform of AACS and also modifies the new heuristics algorithm. Research limitations/implications There are two limitations with this study. First, the criteria for the policy and attribute numbers and sequence for suppliers must be same. Secondly, the score has evaluated by the buyer company before the decision group to use which one policy. Practical implications The value of this study divides two points; the parameters of AACS platform are adjustment for the buyer decision policy from dynamically business environment and the AACS can find an optimal solution from the decision policy. Originality/value AACS according to the decision group’s policy to enter parameters in order to find the adaptive solution for buyer business firm to find their finest suppliers.
Over the past decade, the need to gain global competitiveness on the supply side has increased substantially. Particularly for companies that spend a high portion of their sales revenue on raw material and component parts, savings from reduction in unit prices became much more important as their material costs take a larger percentage of total costs. Obviously selection of the right suppliers plays a key role in any organizations because it significantly reduces the unit prices and improves corporate price competitiveness. Selection of the right suppliers can improve a firm’s competitive advantage, as suppliers are key participants within a supply chain channel, able to affect the quality and the price of the final goods that a business offers its customers. Consequently, the issue of supplier selection has attracted much attention within the field of ‘supply chain management, and most approaches examine the problem based on several criteria, such as quality, price, service, performance and so on. However, emphasis on quality and timely delivery, in addition to the cost consideration, in today’s globally competitive marketplace adds a new level of complexity to supply selection decisions. In practice, there could be several criteria used by a firm for its supplier selection decision, such as price offered, part quality, on-time delivery, after-sales services, supplier location and supplier’s financial status. Apparently, supplier selection is a multi-criteria problem, which includes both quantitative and qualitative factors. For the firm to select the best suppliers, it is necessary to make trade-off between these tangible and intangible factors. Traditionally, decision group (purchasing teams) used such methods as supplier rating or supplier assessments in order to choose suppliers from the candidate supplier list. These methods assessed suppliers based on a selected number of criteria in a linear manner. Facing the new challenges in the supply chains, however, a buyer now faces multiple objectives to achieve simultaneously in its purchasing decision. Quality of parts, delivery reliability, financial status and other criteria as well as price should now be taken into account in selecting the best suppliers. In this paper, an approach to model development and analysis of the supplier selection problem is presented. The proposed approach, which based on AACS to implement a framework for help buyers choose the most appropriate suppliers in a dynamic environment.
نتیجه گیری انگلیسی
The supplier selection problem not only to select the right suppliers but also to select the optimal suppliers, based on a number of key criteria such as costs, quality, and service, etc. For these purposes, the decision making procedure based on AACS platform was developed in this paper. First, we provide the development of policy model and can effective and immediately to choose the best suppliers from the company’s policy and the attribute of suppliers. Secondly, this decision system is based on the platform of AACS and also modifies the new heuristics and adaptive rule to enhance the search algorithm. Our models have several advantages: • They can dynamically change the policy criteria and supplier attributes. • The AACS platform can dynamically and efficiently determine the optimal supplier. • The AACS platform is also variable as the rapidly and vigorously circumstances from the buyer decision policy in order to help the buyer firm to choose their finest supplier. In the future, we will integration with related database in the AACS platform, such the buyer database, inventory database, and supplier database. These databases will help the buyer evaluate the policy criteria and potential suppliers faster, and make more efficient and effective decision.