Stochastic Dominance: A Methodological Approach to Enhancing the Conceptual Foundations of Operations Management Theory
指出传统运营管理研究在风险决策中仅依赖期望值的不足，通过假设例子展示多矩和随机占优排序方法，论证随机占优的理论优势，并讨论其在生产运营管理研究中的适用性。
Production/operations management (POM) research has traditionally preference ordered alternatives based on the expected values of outcomes for decision making under risk problems. The shortcomings of ignoring the uncertainty or variance of outcomes are discussed. A hypothetical example is provided to illustrate multiple moment and stochastic dominance preference ordering approaches and to demonstrate the theoretical superiority of stochastic dominance. Conclusions concerning the applicability of stochastic dominance approaches for POM research are presented.