Decision making with multiattribute performance targets: The impact of changes in performance and target distributions
成果类型：
Article
署名作者：
Tsetlin, Ilia; Winkler, Robert L.
署名单位：
INSEAD Business School; Duke University
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.1060.0343
发表日期：
2007
页码：
226-233
关键词：
摘要：
In many situations, performance on several attributes is important. Moreover, a decision maker's utility may depend not on the absolute level of performance on each attribute, but rather on whether that level of performance meets a target, in which case the decision maker is said to be target oriented. For example, typical attributes in new product development include cost, quality, and features, and the corresponding targets might be the best performance on these attributes by competing products. Targets and performance levels typically are uncertain and often are dependent. We develop a model that allows for uncertain dependent targets and uncertain dependent performance levels, and we study implications for decision making in this general multiattribute target-oriented setting. We consider the impact on expected utility of modifying key characteristics of performance (or target) distributions: location, spread, and degree of dependence. In particular, we show that explicit consideration of dependence is important, and we establish when increasing or decreasing dependence is beneficial. We illustrate the results numerically with a normal model and discuss some extensions and implications.