click on star to go back to Joseph Sarkis' HomepagePerformance measurements are central to improving organizational competitiveness. Organizations and researchers have developed and investigated various performance measurement systems (PMS) to manage and improve internal and external operations for logistics and supply chains. Yet, formal modeling tools and approaches for organizations to help evaluate the relationships between the performance measures and the desired competitive outcomes are limited. To help address this gap we introduce a novel application of neighborhood rough set theory for the identification and selection of performance measures related to externally derived desired outcomes. Our contribution includes introducing an innovative neighborhood rough set approach using elements of the Supply Chain Operations Reference (SCOR) model. The model may aid in determining a core set of external logistics and supply chain performance measures to internal performance expectations and outcomes. Implications and results interpretation of the methodology, sensitivity analysis, limitations and future research directions conclude the paper.
click on star to go back to Joseph Sarkis' Homepage