Incomplete interval fuzzy preference relations for supplier selection in supply chain management

In the analytical hierarchy process (AHP), it needs the decision maker to establish a pairwise comparison matrix requires n(n–1)/2 judgments for a level with n criteria (or alternatives). In some instances, the decision maker may have to deal with the problems in which only partial information and uncertain preference relation is available. Consequently, the decision maker may provide interval fuzzy preference relation with incomplete information. In this paper, we focus our attention on the investigation of incomplete interval fuzzy preference relation. We first extend a characterization to the interval fuzzy preference relation which is based on the additive transitivity property. Using the characterization, we propose a method to construct interval additive consistent fuzzy preference relations from a set of n–1 preference data. The study reveals that the proposed method can not only alleviate the comparisons, but also ensure interval preference relations with the additive consistent property. We also develop a novel procedure to deal with the analytic hierarchy problem for group decision making with incomplete interval fuzzy preference relations. Finally, a numerical example is illustrated and a supplier selection case in supply chain management is investigated using the proposed method. First published online: 05 Feb 201

Factor Analysis and Methods of Supplier Selection

We discuss in this paper the decision making in choosing the best alternative from some available options based on possibly a large number of selection criteria. This multi-criteria decision problem typically arises in supplier selection in supply chain management. Recently, there has been an increasing interest in the applications of dimensional reduction methods such as factor analysis to such decision processes. They have been widely applied in conjunction with some classical methods such as AHP to create a hierarchical structure and identify the underlying factors or constructs. There are, however, a number of inherent issues and difficulties which have not been adequately addressed in the literature. For instance, there may be some criteria which load significantly on more than one factor, creating considerable difficulties in categorizing the criteria into mutually exclusive groups. More importantly, it is seen in this paper that it is not always sensible to determine the importance of an identified factor according to its amount of shared common variance or explained variation. Similarly, attempts to routinely determine the local relative weight (within a factor) of importance of a criterion based on its factor loading or correlation with the factor may also lead to results markedly different from those based on the views or judgement of the practitioner or expert. To circumvent these difficulties, a simple, practical and easily implemented procedure is proposed. Although factor analysis is employed, it merely serves as a means of facilitating the direct rating of importance of each criterion, alleviating many of the difficulties of the classical factor analysis approach. Two examples are given to illustrate the proposed method and illustrate some potential problems of current approaches in the literature

An FMEA analysis using grey theory and grey rough sets

This paper presents a hybrid method for detecting the most important failure items as well as the most effective alternative strategy to cope with possible events. The proposed model of this paper uses grey technique to rank various alternatives and FMEA technique to find important faults. The implementation of the proposed method has been illustrated for an existing example on the literature. The results of this method show that the proposed model has been capable of detecting the most trouble making problems with fuzzy logic and finds the most important solution strategy using FMEA technique

Supplier evaluation and selection in fuzzy environments: a review of MADM approaches

In past years, the multi-attribute decision-making (MADM) approaches have been extensively applied by researchers to the supplier evaluation and selection problem. Many of these studies were performed in an uncertain environment described by fuzzy sets. This study provides a review of applications of MADM approaches for evaluation and selection of suppliers in a fuzzy environment. To this aim, a total of 339 publications were examined, including papers in peer-reviewed journals and reputable conferences and also some book chapters over the period of 2001 to 2016. These publications were extracted from many online databases and classified in some categories and subcategories according to the MADM approaches, and then they were analysed based on the frequency of approaches, number of citations, year of publication, country of origin and publishing journals. The results of this study show that the AHP and TOPSIS methods are the most popular approaches. Moreover, China and Taiwan are the top countries in terms of number of publications and number of citations, respectively. The top three journals with highest number of publications were: Expert Systems with Applications, International Journal of Production Research and The International Journal of Advanced Manufacturing Technology

The Sustainable Criteria In Supplier Selection: A Review

Supplier selection has received great attention recently since the cost of raw material constitutes the main cost of product. Choosing the best supplier provides the best quality of materials, on time, at the right price, and the right level of service. Due to globalization in business, competitive market situations and the changing customers’ demands nowadays, organizations should add environmental and social aspects to the existing supplier selection criteria to remain sustainable in supply chain. Reviewing the literature and considering the developed framework for sustainable supplier selection, this paper aims at presenting the sustainable supplier selection criteria and discussed the interdependency between the criteria presented

RANCANGAN MODEL KONSEPTUAL KRITERIA PEMILIHAN SUSTAINABLE SUPPLIER UNTUK MENDUKUNG SUSTAINANBLE SUPPLY CHAINMANAGEMENT

Abstrak: Beberapa tahun ini ketertarikan para peneliti maupun pengusaha terhadap isu-isu sustainable supply chain management (SSCM) terus meningkat (Kumar dkk., 2014;Azadi dkk., 2014; Liou dkk., 2013; Amindoust dkk., 2012; Adzania dkk., 2012; Buyukozkan dan Cifci 2010; Bai dan Sarkis, 2010; Tseng, 2008).Salah satu kunci dalam sustainable supply chain adalah proses pemilihan/seleksi supplier (Kumar dkk., 2014;Azadi dkk., 2014; Liou dkk., 2013; Amindoust dkk., 2012; Adzania dkk., 2012; Buyukozkan dan Cifci, 2010; Bai dan Sarkis, 2010).Keputusan mengenai seleksi supplier merupakan strategi penting untuk perusahaan.Pemilihan supplier yang tepat untuk menjadisustainable supplier memerlukan kriteria evaluasi/atribut, yang ditandai dengan kompleksitas dan ketidakpastian (Tseng, 2008). Oleh karena itu sangat penting menentukan kriteria yang tepat dalam memilih sustainable supplier yang akan mendukung Sustainable Supply Chain Management. Kata kunci : model konseptual, sustainable supplier, sustainable supply chain managemen

An Environmentally Conscious Multi-Objective Weber Problem for Green Location and Distribution Planning: A Fuzzy Weighted Additive Approach

In this study, a multi-objective Weber (p-median) problem is treated in order to determine the location of the warehouses to be opened and the distribution plans of products. The company carries out the distribution with three types of vehicles differing in unit transportation cost, carbon emission and velocity. Three conflicting objectives are aimed to be minimized, i.e.; the demand weighted total transportation cost, the total delivery time and the total carbon. We adopted a fuzzy weighted additive approach to deal with the multi-objective optimization function, in which the weights of each individual objective function are determined by Analytic Hierarchy Process