Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and outputs. Conventional DEA models assume that inputs and outputs are measured by exact values on a ratio scale. However, the...

The increasing intensity of global competition has led organizations to utilize various types of performance measurement tools for improving the quality of their products and services. Data envelopment analysis (DEA) is a methodology for evaluating and measuring the relative efficiencies of a...

Data envelopment analysis (DEA) is a common non-parametric frontier analysis method. The multiplier framework of DEA allows flexibil- ity in the selection of endogenous input and output weights of decision making units (DMUs) as to cautiously measure their efficiency. The calculation of DEA...

Linear programming (LP) is the most widely used optimization technique for solving real-life problems because of its simplicity and efficiency. Although LP models require well-suited information and precise data, managers and decision makers dealing with optimization problems often have a lack...

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data assume the form of specific numerical values. However, the observed values...

In the conventional data envelopment analysis (DEA), all the data assumes the form of crisp numerical values. However, the observed values of the input and output data in real-world problems are sometimes imprecise or vague. Some researchers have proposed various fuzzy methods for dealing with...

This paper presents a group decision support system (CDSS) which integrates the analytic hierarchy process (AHP) into a Delphi framework. The AHP-Delphi GDSS is applicable to a wide range of complex, multi-criteria decisions which require judgements about qualitative characteristics from a group...

The Analytic Hierarchy Process (AHP) is discussed and illustrated. A controlled experiment is conducted to ascertain if the quality of judgments rendered using the AHP is task dependent or is affected by psychological or demographic variables. No evidence is found to suggest that sex,...

CASE has become an essential tool in system analysis and design. If MIS and AIS curricula are to be relevant, CASE must be integrated into systems analysis and design courses. This study compares the use of the full-function Excelerator to the use of the limited-function BriefCASE, the two most...

This paper presents a set of eight models of coordination for pricing and order quantity decisions in a supply chain consisting of one manufacturer and one retailer of a product with price sensitive demand. In many organisations, the marketing department makes the pricing decisions, whereas the...