Multiple criteria data envelopment analysis for full ranking units associated to environment impact assessment

Author name used in this publication: Chun-Tian ChengAuthor Gang LI, Department of Civil Engineering, Dalian University of Technology, Dalian.2006-2007 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

An Integrated Fuzzy Multi-Criteria Decision Making Method For Supplier Evaluation

This research investigates the risk exposure arising from the supplier evaluation criteria of cost, quality, delivery, and flexibility of the supplier. Penyelidikan ini bertujuan untuk mengkaji risiko yang timbul daripada kos, kualiti, penghantaran dan fleksibiliti bagi penilaian pembekal

Stochastic performance measurement in two-stage network processes: A data envelopment analysis approach

summary:In classic data envelopment analysis models, two-stage network structures are studied in cases in which the input/output data set are deterministic. In many real applications, however, we face uncertainty. This paper proposes a two-stage network DEA model when the input/output data are stochastic. A stochastic two-stage network DEA model is formulated based on the chance-constrained programming. Linearization techniques and the assumption of single underlying factor of the data are used to construct the equivalent deterministic linear programming model. The relationship between the stochastic efficiency of each stage and stochastic centralized efficiency of the whole process, at different confidence levels, is discussed. To illustrate the real applicability of the proposed approach, a real case on 16 commercial banks in China is given

Supplier Selection and Evaluation Using Restricting Weights Method in Presence of Dual Factor under Fuzzy Environment.

As businesses grow more complex, so do their supply chains. Data envelopment analysis (DEA) is a useful method for supplier selection. Weight restrictions allow for the integration of managerial preferences in terms of relative importance levels of various inputs and outputs. In some situations there are some factors which play both input and output roles as well. The purpose of this research is to propose a method for selecting the best suppliers in the presence of weight restrictions and dual-role factors. This study shows the supplier selection process through a DEA model, while allowing for the incorporation of decision make

Supplier Selection and Evaluation Using Restricting Weights Method in Presence of Dual Factor under Fuzzy Environment.

As businesses grow more complex, so do their supply chains. Data envelopment analysis (DEA) is a useful method for supplier selection. Weight restrictions allow for the integration of managerial preferences in terms of relative importance levels of various inputs and outputs. In some situations there are some factors which play both input and output roles as well. The purpose of this research is to propose a method for selecting the best suppliers in the presence of weight restrictions and dual-role factors. This study shows the supplier selection process through a DEA model, while allowing for the incorporation of decision make

A Novel Method on Customer Requirements Preferences Based on Common Set of Weight

Abstract: Quality function deployment (QFD) has been widely used as a multi-functional design tool to translate lingual voice of customer requirements (CRs) to a product's technical attributes in the design, development of products, process planning and production planning strategies. Even though QFD efforts have been extensively used, assessing information from participant experts is still difficult task in QFD planning. The proposed voting methodology uses common set of weight (CSW) method as a well known technique in data envelopment analysis (DEA) to aggregate each of the requirements expressed by customers and comparisons among the product produced by own company with competitive products. Using such flexible method can reduce cognitive burden of designers and engineers on the presence of lack of enough data and different points of voters' view. Based on the dominance concepts of DEA with incomplete information, we developed a systematic two phase method for prioritizing customers' requirements with a numerical example