A method for the concurrent design and analysis of networked manufacturing systems. Issue 4 (3rd April 2019)

• Record Type: Journal Article
• Authors: Milisavljevic-Syed, Jelena; Commuri, Sesh; Allen, Janet K.; Mistree, Farrokh
• Is Part Of: Engineering optimization. Volume 51:Issue 4(2019)
• Page Start: 699
• Page End: 717
• Publication Date: 2019-04-03
• Subjects: Multistage manufacturing -- decision support -- tooling and sensing; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2018.1484121
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: Multistage manufacturing processes (MMPs) require multiple stations and operations. Traditionally, analysis of MMPs focused on material planning and control strategies. For a given MMP, the effect of the strategy on the volume and rate of production, ability to handle product type variability, and the effects of process variability on production rate, on-process inventory, etc ., have been studied individually. Such approaches, while necessary, do not address the combined effects of MMP design choices on the final product quality. In this article, a method based on the compromise decision support problem and stream of variation model is proposed to provide a way to evaluate suitable designs for the implementation of MMPs. Using the dimensional quality of the product as a measure of quality, the proposed method is illustrated using a three-stage MMP in an automobile panel stamping process while considering the conflicting requirements of diagnosability and controllability.