A BAYESIAN APPROACH TO PLANT‐LOCATION DECISIONS*
针对不确定性下的工厂选址问题，提出一个利用贝叶斯分析收集和评估信息的框架，并证明该框架能涵盖满意法和空间层级法两种常见方法。
Abstract The paper addresses the problem of plant location in the formal context of decision making under uncertainty and presents a framework employing Bayesian analysis in the collection and assessment of information. As a general model, the Bayesian approach is shown to subsume two practical approaches common to plant‐location literature: satisficing and spatial hierarchy of plant‐site characteristics.