Presents an approach for evaluating the number of vendors to employ in a procurement situation using multi‐objective programming (MOP) and data envelopment analysis (DEA). The approach advocates developing vendor‐order quantity solutions (referred to as supervendors) using MOP and then...

Data envelopment analysis (DEA) has been widely applied to address various decision analysis problems due to its usefulness in evaluating multi‐criterion systems and providing improvement targets for such systems. A supplier selection problem is inherently a multi‐criterion decision problem,...

Purpose – A key process involved in supply chains is a priori evaluation of potential partners, not only in terms of expected cost (which includes exchange rate risk), but also in terms of other risks. These risks can include product failure, producing company failure (such as bankruptcy), and...

While it has long been recognized that vendor selection is multi‐objective in nature, little has been done to develop techniques for measuring vendors’ performance on multiple criteria. Demonstrates the use of data envelopment analysis (DEA) as a tool for measuring the performance of vendors...

Purpose – The purpose of this paper is to introduce a methodology to identify sustainable supply chain key performance indicators (KPI) that can then be used for sustainability performance evaluation for suppliers. Design/methodology/approach – Initially the complexity of sustainable supply...

Purpose – Since there is no agreement on the consistency of their estimates, the purpose of this paper is to investigate whether parametric stochastic frontier analysis (SFA) and nonparametric data envelopment analysis (DEA) generate consistent bank efficiency assessments....

Reviews previous research on the efficiency and performance of financial institutions and uses Siems and Barr’s (1998) data envelopment analysis (DEA) model to evaluate the relative productive efficiency of US commercial banks 1984‐1998. Explains the methodology, discusses the input and...

Outlines previous research on the efficiency of the Italian banking system, describes the structure of Italian banking groups and uses parametric (stochastic cost frontier) and non‐parametric (data envelopment analysis) approaches to assess the efficiency of Italian bank conglomerates in 1995...

Outlines previous research on the efficiency of financial institutions and builds on an earlier study of the relative efficiency of 190 UK bank branches by the authors to determine their size efficiency relationship and their determinants of relative inefficiency. Explains the data envelopment...

Refers to various types of data envelopment analysis (DEA) literature and puts forward a technique aimed at helping managers to visualize the results of DEA modelling without loss of mathematical rigour. Explains how DEA optimization models can determine different points on the frontier and...