14,110 research outputs found

    Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process

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    The proposed system illustrates that logic fuzzy can be used to aid management in assessing a supplier's environmental performance in the supplier selection process. A user-centred hierarchical system employing scalable fuzzy membership functions implement human priorities in the supplier selection process, with particular focus on a supplier's environmental performance. Traditionally, when evaluating supplier performance, companies have considered criteria such as price, quality, flexibility, etc. These criteria are of varying importance to individual companies pertaining to their own specific objectives. However, with environmental pressures increasing, many companies have begun to give more attention to environmental issues and, in particular, to their suppliers’ environmental performance. The framework presented here was developed to introduce efficiently environmental criteria into the existing supplier selection process and to reflect on its relevant importance to individual companies. The system presented attempts to simulate the human preference given to particular supplier selection criteria with particular focus on environmental issues when considering supplier selection. The system considers environmental data from multiple aspects of a suppliers business, and based on the relevant impact this will have on a Buying Organization, a decision is reached on the suitability of the supplier. This enables a particular supplier's strengths and weaknesses to be considered as well as considering their significance and relevance to the Buying OrganizationPeer reviewe

    Supplier selection requires full transparency

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    In this paper, we highlight a number of problems arising with a commonly used supplier selection method: the weighted factor score method. We discuss the behavior of this method with respect to weighting, scaling issues, and relative scoring. Assuming that there is no convex dominance, we formally prove that with the same supplier selection method, we can make any supplier win by judiciously choosing the right parameters of the awarding mechanism. This means that any supplier can win if certain parameters are not published in a request for a proposal. This result applies to both absolute and relative scoring methods. Also, we show that the buyer should fully disclose all details of the awarding mechanism to suppliers in order to get better bids. The practical implications of our results are far reaching for (public) procurement: full transparency and disclosure of all details of weights and awarding schemes is not only required to avoid subjectivity in supplier selection, but it also leads to better bids from suppliers

    Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach

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    In this paper, a multi-objective mathematical model is developed in fuzzy environment in which the vagueness in aspiration level of objectives and data imprecision regarding the selection criteria and related constraints are con- sidered simultaneously as a source of fuzziness. In the model, such data impreci- sion is presented based on the estimation of its possibility distribution to better capture the uncertainty. Finally, a fuzzy solution methodology is constructed by the aid of weighted additive aggregation function to derive optimal solution. As pre- liminary investigation, we report that the proposed model is more flexible and con- venient than the previous models whose imprecise parameters are treated as a given single estimated value

    Outsourcing and acquisition models comparison related to IT supplier selection decision analysis

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    This paper presents a comparison of acquisition models related to decision analysis of IT supplier selection. The main standards are: Capability Maturity Model Integration for Acquisition (CMMI-ACQ), ISO / IEC 12207 Information Technology / Software Life Cycle Processes, IEEE 1062 Recommended Practice for Software Acquisition, the IT Infrastructure Library (ITIL) and the Project Management Body of Knowledge (PMBOK) guide. The objective of this paper is to compare the previous models to find the advantages and disadvantages of them for the future development of a decision model for IT supplier selection

    Effects of full transparency in supplier selection on subjectivity and bid quality

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    In this paper, we highlight a number of problems arising with a commonly used supplier selection method: the weighted factor score method. We discuss the behaviour of this method with respect to weighting, scaling issues, and relative scoring. Assuming that there is no convex dominance, we formally prove that with the same supplier selection method, we can make any supplier win by judiciously choosing the right parameters of the awarding mechanism. This means that any supplier can win if certain parameters are not published in a request for a proposal. This result applies to both absolute and relative scoring methods. Also, we prove that the buyer should fully disclose all details of the awarding mechanism to suppliers in order to receive better bids. The practical\ud implications of our results are far reaching for procurement, both public and otherwise: full transparency and disclosure of all details regarding weights and awarding schemes is not only required to avoid subjectivity in supplier selection, but it also leads to better bids from suppliers

    Supply chain decision making supported by an Open books policy

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    Based on a study of a buyer–seller relationship in the automotive industry, this article identifies 17 different decision-making processes where openly sharing cost data—a so-called open books policy—plays an important supporting role. These processes relate to supplier selection, various activities that occur prior to production, and the full-speed production stage of the exchange process. Overall, open books plays the greatest role in the pre-production stage, although it is found to support decision-making relating to supplier selection and decision-making during full-speed production to a greater extent than the literature recognizes

    Sistem Pendukung Keputusan Pemilihan Supplier Dengan Metode Analytical Hierarchy Process Pada PT. Cipta Nuansa Prima Tangerang

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    Supplier is one of the most important part in construction service company. To get the best result, it needs the best and quality supplier. One effort to get those supplier is to perform supplier selection, therefore supplier selection is necessary for construction service company. Since many supplier, PT. Cipta Nuansa Prima Tangerang had a trouble in choosing supplier with their respective advantages. The process of supplier selection use AHP (Analytical Hierarchy Process) method, which outline the criteria into the process of comparing alternatives. The greater the value generated, then the main well for those supplier will be chosen. The criterias of supplier selection on PT. Cipta Nuansa Prima Tangerang are delivery, service, product, quality and price. The supplier selection use AHP method with tools Expert Choice and proven with Ms. Excel allow company to support the decision. AHP method is the best solution to be a Decision Support System for solving the problem and contribute management for making decision more objective of supplier selection
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