Supply chain management (SCM) is one of the most important of the areas that have recently generated a great deal of interest in both industry and academia. SCM is considered an integrating philosophy to manage the total flows of materials, products and information from suppliers to the ultimate customers. The changing conditions of competition, for organizations to become more responsive and a...

This paper proposes the macro model and micro model for the efficiency evaluation of data warehouses (DWH), and introduces Fuzzy Data Envelopment Analysis (FDEA) and Data Envelopment Analysis (DEA) to comprehensively assess DWH efficiency. FDEA can determine the efficiencies of data warehouses with multiple input / output variables, and also resolve the problem that standard DEA cannot handle w...

this paper introduces discretionary imprecise data in data envelopment analysis (dea) and discusses the efficiency evaluation of decision making units (dmus) with non-discretionary imprecise data. then, suggests a method for evaluation the efficiency of dmus with non-discretionary imprecise data. when some inputs and outputs are imprecise and non-discretionary, the dea model becomes non-linear ...

This article investigates the Brazilian third-party logistics (3PL) sector which, increasingly competitive, offers clients a wide variety of services/information technologies in the quest to bolster efficiency. The main research objective is to determine which variables significantly impact 3PLs scale efficiency by applying two-stage DEA (Data Envelopment Analysis). Based on an unbalanced panel...

This paper presents a new robust two-stage Data Envelopment Analysis (DEA) for efficiency evaluation of the electricity power production and distribution companies. DEA has been widely used for benchmarking the electricity companies. Traditional studies in DEA consider systems as a whole when measuring the efficiency, ignoring the operation of individual processes within a system. To tackle thi...

Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). Recently DEA has been extended to examine the efficiency of two-stage processes, where all the outputs from the first stage are intermediate measures that make up the inputs to the second stage. The resulting two-stage DEA model provides not only an overall efficiency score for the ent...

Supplier evaluation is an important process in supply chain. To our best knowledge, we firstly report a study on supplier classification problem for efficiency and performance in the meanwhile, which is to aim at reducing the risk of enterprises and finding the suppliers with both high efficiency and performance. This paper proposed an integrated model, which hybridized data envelopment analysi...

in this study, the relative performance of mazandaran wood and paper company as a major supplier of paper products in iran was measured. network data envelopment analysis (dea) models with parallel structure were used to evaluate and measure its performance. gams software version 23.4 was used for data analysis. results indicated that this company in all studied years had good performances base...