The selection and implantation of sufficient and appropriate continuous improvement strategy are the key success factors for improving firm performance and enhancement of competitive advantage on manufacturing industries. As a result special role are given to Continuous improvement programs such as Supply Chain Management (SCM), Six-Sigma, Total Quality Management (TQM), Kaizen, Just-in-Time (J...

A Supply chain management (SCM) adopts a systematic and integrative approach to managing the operations and relationships among different parties in supply chains. To implement SCM successfully involves a lot of issues. One of the major issues is supplier development. On the other hand, studies have investigated how quality management can be employed in SCM to improve the performance of ...

data envelopment analysis (dea) is an eciency measurement tool for evaluation of similar decision making units (dmus). in dea, weights are assigned to inputs and outputs and the absolute eciency score is obtained by the ratio of weighted sum of outputs to weighted sum of inputs. in traditional dea models, this measure is also equivalent with relative eciency score which evaluates dmus in com...

performance evaluation of universities is an important issue between researchers. classic data envelopment analysis (dea) models with deterministic data have been used by many authors to measure efficiency of universities in different countries. however, dea with stochastic data are, rarely used to measure efficiency of universities. in this paper, input oriented model in stochastic data envelo...

Through an additive efficiency decomposition (AED) approach in data envelopment analysis (DEA), we evaluate the management and investment efficiencies of Investment Trust Corporations (ITCs) in Taiwan for the period 2007–2011. Furthermore, the AED-DEA and a network-based ranking approach in DEA are jointly used to rank and identify ITCs that can be treated as benchmarks. Frontier projections fo...

This paper evaluates the relative efficiency of 23 Non Life Insurance companies in Indonesia, using Data Envelopment Analysis (DEA) model. DEA is a management evaluation tool that assists in identifying the most efficient and inefficient decisionmaking units (DMUs) in the best practice frontier. Empirical results show that bigger insurance companies are found to be efficient than smaller firms....

As data envelopment analysis (DEA) has been developed both in theory and application, the calculation of models become more and more important. Although many DEA software tools have been built for the calculation of the DEA models, there are some deficiencies in embedding them into enterprise management information system (MIS). As an extension of this work, an idea was generated in this paper,...

This paper considers three types of risk evaluation models within supply chains: chance constrained programming (CCP), data envelopment analysis (DEA), and multi-objective programming (MOP) models. Various risks are modeled in the form of probability and simulation of specific probability distribution in risk-embedded attributes is conducted in these three types of risk evaluation models. We mo...

Data envelopment analysis (DEA) measures relative efficiency among the decision making units (DMU) without considering noise in data. The least efficient DMU indicates that it is in the worst situation. In this paper, we measure efficiency of individual DMU whenever it losses the maximum output, and the efficiency of other DMUs is measured in the observed situation. This efficiency is the minim...

Purpose – The purpose of this paper is to define the “fast evolving industry” (FEI) and its supply chain management (SCM) challenges. The authors review and structure the literature regarding integration strategies and implementation methods to develop a strategic decision-making framework for SCM in the FEI. Design/methodology/approach – The authors conduct a review of SCM literature, includin...