scholarly journals Robust and Data-Driven Optimization: Modern Decision Making Under Uncertainty

2006 ◽  
pp. 95-122 ◽  
Author(s):  
Dimitris Bertsimas ◽  
Aurélie Thiele
Keyword(s):  
Decision Making ◽  
Data Driven ◽  
Decision Making Under Uncertainty

scholarly journals Data-driven Modelling for decision making under uncertainty

2018 ◽  
Vol 300 ◽  
pp. 012013 ◽  
Author(s):  
Layla Angria S ◽  
Yunita Dwi Sari ◽  
Muhammad Zarlis ◽  
Tulus
Keyword(s):  
Decision Making ◽  
Data Driven ◽  
Decision Making Under Uncertainty

Decision-Making Under Uncertainty for a Digital Thread-Enabled Design Process

2021 ◽  
Vol 143 (9) ◽  
Author(s):  
Victor Singh ◽  
Karen E. Willcox
Keyword(s):  
Decision Making ◽  
Bayesian Statistics ◽  
Structural Design ◽  
Decision Problem ◽  
Data Driven ◽  
Decision Making Under Uncertainty ◽  
Product Lifecycle ◽  
Decision Making Problem ◽  
Different Types ◽  
Multiple Product

Abstract Digital thread is a data-driven architecture that links together information from all stages of the product lifecycle. Despite increasing application in manufacturing, maintenance/operations, and design related tasks, a principled formulation of analyzing the decision-making problem under uncertainty for the digital thread remains absent. The contribution of this article is to present a formulation using Bayesian statistics and decision theory. First, we address how uncertainty propagates in the product lifecycle and how the digital thread evolves based on the decisions we make and the data we collect. By using these mechanics, we explore designing over multiple product generations or iterations and provide an algorithm to solve the underlying multistage decision problem. We illustrate our method on an example structural design problem where our method can quantify and optimize different types and sequences of decisions, ranging from experimentation, manufacturing, and sensor placement/selection, to minimize total accrued costs.

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