Scalable reconfigurable manufacturing systems (scalable-RMS) consist of standardized modular equipment that can be quickly added or removed to adjust the production capacity. Each modular machine, referred to as a scalable reconfigurable machine tool (scalable-RMT), is composed of identical modules that can be added to, or removed from the machine depending on its required throughput. In previous work, conceptual scalable-RMTs have been described. Additional scalable-RMTs are presented in this paper to highlight the applicability of this concept in manufacturing. As an extension to existing scalable-RMS literature, this paper incorporates multiple products in the system configuration design. Specifically, this paper proposes an integer programming based iterative algorithm for finding the minimum cost configuration of a multi-product system. It is shown that the proposed algorithm converges to the optimal solution under the majority of practical conditions. Then, a mathematical formulation to minimize the system investment and operational costs in a multi-product scalable-RMS is presented. A numerical example compares the solution obtained using the traditional approach of determining the system design and then the inventory control policy versus the proposed simultaneous approach. It is concluded that the simultaneous approach yields significant improvement over the traditional (decoupled) approach.
Skip Nav Destination
ASME 2006 International Manufacturing Science and Engineering Conference
October 8–11, 2006
Ypsilanti, Michigan, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
0-7918-4762-4
PROCEEDINGS PAPER
Simultaneous Scalable-Reconfigurable Manufacturing System Design and Inventory Control Policy Decision Making Available to Purchase
J. Patrick Spicer,
J. Patrick Spicer
University of Michigan, Ann Arbor, MI
Search for other works by this author on:
Hector J. Carlo
Hector J. Carlo
University of Michigan, Ann Arbor, MI
Search for other works by this author on:
J. Patrick Spicer
University of Michigan, Ann Arbor, MI
Hector J. Carlo
University of Michigan, Ann Arbor, MI
Paper No:
MSEC2006-21083, pp. 703-709; 7 pages
Published Online:
October 2, 2008
Citation
Spicer, JP, & Carlo, HJ. "Simultaneous Scalable-Reconfigurable Manufacturing System Design and Inventory Control Policy Decision Making." Proceedings of the ASME 2006 International Manufacturing Science and Engineering Conference. Manufacturing Science and Engineering, Parts A and B. Ypsilanti, Michigan, USA. October 8–11, 2006. pp. 703-709. ASME. https://doi.org/10.1115/MSEC2006-21083
Download citation file:
5
Views
Related Proceedings Papers
Related Articles
Simultaneous Consideration of Scalable-Reconfigurable Manufacturing System Investment and Operating Costs
J. Manuf. Sci. Eng (February,2012)
Lagrangian Relaxation Approach for Decentralized Decision Making in Engineering Design
J. Comput. Inf. Sci. Eng (March,2010)
Computer-Aided Reconfiguration Planning: An Artificial Intelligence-Based Approach
J. Comput. Inf. Sci. Eng (September,2006)
Related Chapters
Computer Aided Manufacturing (CAM)
Computer Aided Design and Manufacturing
Computer-Aided Process Planning and Data Collection
Manufacturing Engineering: Principles for Optimization, Third Edition
A Mathematical Model and Heuristic Procedure for Cellular Layout
International Conference on Software Technology and Engineering, 3rd (ICSTE 2011)