Uncertain learning curve and its application in scheduling. (May 2019)

• Record Type: Journal Article
• Authors: Li, Yuchen; Yang, Xiangfeng; Yang, Zaoli
• Is Part Of: Computers & industrial engineering. Volume 131(2019)
• Page Start: 534
• Page End: 541
• Publication Date: 2019-05
• Subjects: Learning curve model -- Uncertainty -- Expected cost estimation -- Scheduling; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2018.11.055
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: An uncertain learning curve is proposed to capture the uncertain nature of learning. Point estimation, interval estimation as well as some inequalities for the uncertain cost are provided. The expected cost for a system consisting of several parts is provided. A single-machine scheduling problem considering the uncertain learning curve is proposed and solved. Abstract: The learning curve is a powerful tool for estimating either the production cost or time in production analysis. Our work focuses on the characterization of the uncertain nature of the learning effect. Traditionally, the learning curve of a new product can be derived by processing the past data obtained for similar products. However, due to the complicated environment, in some cases, the data for similar products may be lacking, preventing the use of the traditional methods to find the learning curve. To address this issue, we develop an uncertain learning curve by utilizing uncertainty theory. Moreover, some useful theorems are developed to characterize the uncertain learning curve. An experiment is conducted to compare the proposed model and the standard model. Finally, we apply the uncertain learning curve to the single-machine optimization problem.