Utility Of Performance Measures Research Articles

Prioritizing alternatives in strategic environmental assessment (SEA) using VIKOR method with random sampling for data gaps

This study suggests a framework to prioritize the plans in strategic environmental assessment (SEA) with incomplete information. The Monte Carlo method for the data gaps in SEA and the VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, which is a multicriteria decision analysis (MCDA) method, are used. The VIKOR method is used to prioritize the plans based on a number of decision criteria because its decision philosophies, considering both the utility and regret of performance measures in MCDA, support the main objective of SEA, which is to minimize potential negative impacts and maximize potential positive impacts of plans. In this study, the proposed framework is applied to the SEA that is part of the long-term plan for dam construction in Korea. This study quantifies the environmental feasibility scores of ten alternative dam construction sites based on multiple criteria, including landscape and geology, ecological value, water quality, and environmental toxicity, and generates sets of random numbers to fill the gaps resulting from the incomplete data. By varying the importance between the regret and utility of performance measures, the rankings of feasible sites are quantified with the uncertainty bounds from the randomly generated numbers. We find that the resulting ranks among the sites can vary significantly according to the decision philosophy of stakeholders. Our results imply that the proposed framework can be utilized to provide quantitative information for decision making in SEA, considering various decision criteria pertaining to environmental aspects, uncertainty of incomplete data, and decision flexibility according to decision-makers’ tendency.

The dimensionality and utilization of performance measures in a manufacturing operational context

Purpose – Owing to the increasing competitive pressures in the marketplace in recent years, the different facets of performance measures and measurement have changed. In this context, the lack of a clear understanding of the dimensionality of manufacturing performance tends to negatively impact successful implementation and utilization of manufacturing performance measurement systems. The purpose of this paper is to investigate the dimensionality of performance and its effective utilization in a manufacturing operational context.Design/methodology/approach – Using a sample of 92 Portuguese manufacturing executives, this study investigates the dimensionality of manufacturing performance and its associated current utilization practices. Factor analysis and cluster analysis are used to analyze data collected on 63 performance measures.Findings – Based on the results of this study, a conceptual framework is advanced. The framework is intended as an aid to manufacturing organizations in their efforts to modify...

The utility of performance measures: production manager's perceptions

The utility of a set of 42 measures of subunit performance to 155 production managers is reported. The measures were derived from interviews conducted with practicing managers. The measures were rank ordered, based on their mean scores, and specific patterns arose from the mean orderings. The relative usefulness of these measures and the underlying types of information required for their construction can provide guidance to those engineers or production managers endeavoring to develop or improve an evaluation strategy for manufacturing subunits.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>