SIPS 2018

DETAILLED PROGRAM OVERVIEW

Concurrent Method for Design of Sustainable Multi-stage Manufacturing Processes
Sesh Commuri¹; Jelena Milisavljevic²; Farrokh Mistree²; Janet Allen²;
¹UNIVERSITY OF NEVADA, RENO, Reno, United States; ²UNIVERSITY OF OKLAHOMA, Norman, United States;
PAPER: 261/Manufacturing/Regular (Oral)
SCHEDULED: 16:20/Mon./Sao Conrado (50/2nd)

ABSTRACT:
Multistage manufacturing processes (MMPs) are networked manufacturing systems that have characteristics of mechanical and control systems where different manufacturing operations are performed at each stage [1]. Changing product requirements as well as desire for agility in the manufacturing process impose restrictions on the design of MMPs that could ultimately affect the sustainable operation of the manufacturing process. Some of the challenges that have to be addressed in the design of sustainable MMPs are: - the understanding of the functional attributes of the mechanical and control systems that comprise the MMP and their effect on the properties of the MMP [2]; - the selection of sensors and tools and their effect on the dimensional quality of the finished product; - the influence of computational complexity in representing and analyzing the problem [3]; and - manage uncertainty in the models used to represent the MMP which limit the use of traditional design approaches [4]. In this paper, an exploration-based method for the concurrent design of MMPs under uncertainty is presented wherein the attributes of tools and sensors are treated as design variables, thereby allowing the design engineer to assess the impact of design parameters on the performance and ultimately, the sustainability of the manufacturing process. The method is based on the compromise Decision Support Problem (cDSP) construct [5] for MMP, where MMP is described by a Stream of Variation (SoV) model [6]. The proposed method is illustrated using an example of automotive panel stamping process [7].

References:
[1] Shi, J., and Zhou, S., 2009, 'Quality Control and Improvement for Multistage Systems: A survey', IIE Transactions, Vol. 41, no.9, pp. 744-753.
[2] Milisavljevic, J., 2015, 'Accounting for Uncertainty in the Realization of Multistage Manufacturing Processes', Masters Thesis, The School of Aerospace and Mechanical Engineering, University of Oklahoma, Norman, Oklahoma.
[3] Milisavljevic Syed, J., Allen, J.K., Commuri, S., and Mistree, F., 2018, 'A Method for the Concurrent Design and Analysis of Networked Manufacturing Systems under Uncertainty,' Journal of Engineering Optimization, accepted for publication.
[4] Milisavljevic, J., Commuri, S., Allen, J.K. and Mistree, F., 'Concurrent Design Exploration Method (CDEM) of Networked Manufacturing Systems', ASME International Design Engineering Technical Conferences, Cleveland, Ohio, Paper number DETC2017-67557, August 6- 9, 2017.
[5] Smith, W.F., Milisavljevic, J., Sabeghi, M., Allen, J.K. and Mistree, F., 'Accounting for Uncertainty and Complexity in the Realization of Engineered Systems,' ASME International Design Engineering Technical Conferences, Boston, Massachusetts, Paper number DETC2015-46211, August 2-5, 2015.
[6] Ding, Y., Ceglarek, D., and Shi, J., 2000, 'Modeling and Diagnosis of Multistage Manufacturing Processes: Part I - State Space Model', In Proceedings of the 2000 Japan/USA Symposium on Flexible Automation, pp. 23-26.
[7] Apley, D., W., and Shi, J., 1998, 'Diagnosis of multiple fixture faults in panel assembly', Journal of Manufacturing Science and Engineering, vol. 120, pp. 793-801.