16,647 research outputs found

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

    Get PDF
    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

    Get PDF
    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

    Innovative Supplier Selection: Key Success Factors

    Get PDF
    Due  to  the  emergence  of  globalization  and  shrinking  distances, companies don’t  mind  going   to new unexplored locations in search of suitable suppliers. However, the suitability of suppliers can be measured in terms of its technical competence and innovativeness. The aim of this paper is to find out the necessary parameters to check the innovativeness of suppliers. This paper looks at how the authors analyzed existing literature on supplier selection based on their innovativeness

    An analysis of some mistakes, miracles and myths in supplier selection

    Get PDF
    This paper analyzes some consequences of formal methods and procedures for supplier selection. It argues that many mistakes and miracles may occur in frequently used procedures. Practical examples are given. In the analysis it turns out that preventing these unwanted effects from occurring may be tackled by methodological improvements. Some examples and guidelines for these are given as well. But another important point lies in the perspectives of the actors in supplier selection: governments and industry policy makers, purchasers, suppliers and (management) researchers. The analysis shows that these different actors often operate from quite different and sometimes conflicting attitudes, assumptions and principles. On the one hand this analysis leads to the conclusion that using some sort of formal approach for supplier selection may be necessary. On the other hand it clarifies the criticism on such an approach and the difficulties associated with its use. The paper concludes with recommendations and implications for policy makers, researchers, and practitioners

    Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach

    Get PDF
    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

    Get PDF
    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

    Get PDF
    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

    Get PDF
    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
    corecore