Case Study about a Decision Analysis Matrix for Trade
Abstract: Trade studies are needed to evaluate different designs and manufacturing processes for a large-scale production system, such as building airplanes. The decision factors can usually be categorized into numeric and subjective decision factors. In this paper, we provide a decision analysis matrix by considering various numeric and subjective decision factors. In particular, we propose some statistical analysis and simulation methods to study uncertainty of the decision factors.
Introduction: We consider a multiple criteria decision making (MCDM) problem for a large-scale manufacturing process. The goal is to rank a discrete set of alternatives based on criteria scores and the relative weights assigned to the criteria. The decision making problem exhibits a high degree of uncertainty. There is potentially disagreement regarding relative criteria weights, and true criteria scores for the proposed alternatives are unknown. This paper presents an MCDM methodology that takes into account the uncertainty inherent in the input data. Our work builds on the well known decision matrix method.
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