Supply Chain and Information Systems
Journal or Book Title
Journal of Business Analytics
It is said that knowledge is power, yet often, decision makers ignore information that ought to be considered. The phenomenon known as Semmelweis reflex occurs when new knowledge is rejected because it contradicts established norms. The goal of evidence-based management (EBMgt) is to help overcome Semmelweis reflex by integrating evaluated external evidence with stakeholder preference, practitioner experiences, and context. This evaluated external evidence is the product of scientific research. In this paper, we demonstrate an EBMgt business analytics model that uses computer simulation to provide scientific evidence to help decision makers evaluate equipment replacement problems, specifically the parallel machine replacement problem. The business analytics application is demonstrated in the form of a fleet management problem for a state transportation agency. The resulting analysis uses real-world data allowing decision makers to unfreeze their current system, move to a new state, and re-freeze a new system.
Operational Research Society
Scheibe, Kevin P.; Nilakanta, Sree; Ragsdale, Cliff T.; and Younie, Bob, "An evidence-based management framework for business analytics" (2019). Supply Chain Management Publications. 44.
Business Administration, Management, and Operations Commons, Business Analytics Commons, Operations and Supply Chain Management Commons, Strategic Management Policy Commons, Technology and Innovation Commons