外文資料翻譯--運(yùn)用灰色關(guān)系分析選擇供營商的聯(lián)合方法-其他專業(yè)(參考版)
2025-01-23 10:25本頁面
【正文】 parative judgment。 Level 3 represents 21 subattributes。 conceptual, empirical, and mathematical. In the empirical area of the vendor selection, Weber et present a prehensive review of the literature providing the most important criteria in the choice of suppliers. According to their investigation, they rank price as the most important factor in the selection process followed by leadtime and quality factors. JiuhBiing, proposed a methodology in his research that would stimulate research in the related fields of global logistics, and may help address issues regarding the uncertainty and plexity of global logistics operations. Chan and Chung,5 develop a multicriterion geic optimization for solving distribution work problems in supply chain management. In this work they bine analytic hierarchy processes with geic algorithms to capture the capability of multicriterion decisionmaking which will reduce the putation time. Vaidya and Kumar, presents a literature review of the applications of Analytic Hierarchy Process (AHP) and also provided the various application area where the AHP is used as a multiple criteria decisionmaking tool. Handeld et al., in their work integrate environmental issues in their supplier assessment decisions with the help of AHP. Liu et al., and Weber et al presented a data envelopment analysis method for a Vendor Selection Problem (VSP) with multiple objectives. Vanegas and Labib, proposed a method to determine the weights for the customer requirements by converting the weights from the AHP into fuzzy numbers using the concept of a “fuzzy line segment”. Maggie and Tummala, in their paper discussed about the vendor selection for the telemunication systems and based on the proposed model the time taken to select the vendor has been reduced. The above literature reveals that for selection of vendors, most previous researchers have considered only three main factors (quality, service and price) and about 15 subfactors. This paper describes five main factors (quality, delivery, engineering capability, service and price) and 21 subfactors for the vendor selection. 3. Problem Description The pany chosen for this work plans to build a supply chain for its rubber manufacturing product. At present, the pany is facing a lot of problems regarding the quality of products manufactured. After the long study done by the research team prising of experts from industry and academia, it was found that the quality problems have risen because of the raw materials purchased from the single vendor without testing the quality. So, the pany has planned to improve the quality of the product by purchasing raw material from the best vendor selected from the three alternative vendors, namely vendor 1, vendor 2 and vendor 3 were taken into consideration. Among the questions that arise is which vendors are to be selected. The attributes and the subattributes have to be most prevalent and important in the vendor selection process. Choosing the possible attributes and subattributes for the vendor selection involves a decision making team which includes experts from the industry side (purchasing director, purchasing manager, sales manager, product manager, quality manager and production manager) and the academic side. The attributes and subattributes involved in the vendor selection have been chosen by conducting a survey. A questionnaire consisting of these factors was designed for the survey. A respondent to the survey is selected randomly from different functional areas of the Original Equipment Manufac
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