The main goal of this research is to investigate and develop methods that will provide inventory analysts with better tools that can assess the trade-offs between cost, service, and risk within lean inventory systems. A literature review of the area was performed and metrics identified.
Analysis of student data indicates, according to one definition of learning styles, that global learners respond more favorably to an online, open-ended learning environment than sequential learners. Industrial engineering students were observed before, during, and after engagement in an online forecasting module. Simple ordered logistic regression models of attitudes were found to be consistent functions of the extent to which students are considered to be global versus sequential learners. Furthermore, significance can be observed even when controlling for additional factors such as gender, other learning style dichotomies, preliminary confidence about forecasting knowledge, and problem solving performance.