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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/12061
Title: Optimal sequencing of part families and configuration selection for process improvement in reconfigurable manufacturing system
Authors: Mittal K.K.
Jain, P. K.
Kumar D.
Published in: International Journal of Process Management and Benchmarking
Abstract: Reconfigurable manufacturing systems (RMS) are considered as next generation manufacturing systems that are capable of providing the functionality and capacity as and when required. Products are classified into several part families as per customer requirement and each of them are a set of similar products. In a shop floor, the manufacturers have to deal with varied number of orders for multiple part families and after completing the orders of a particular family, they need to change over to the orders of a different part family. Shifting from one part family to another may require the system's reconfiguration, which is a complicated method and requires tremendous cost and efforts. The complexity, effort and cost from changing one configuration to another depends on the existing initial configuration and the new configuration required for subsequent production of orders belonging to a different part family. There are different models available for process improvement. This paper focuses on determining optimal sequencing of part families formation and configuration selection for process improvement in RMS on the basis of minimum loss occurred for a given system configuration. The proposed methodology is explained and an example is given for illustration. © 2019 Inderscience Enterprises Ltd.. All rights reserved.
Citation: International Journal of Process Management and Benchmarking (2019), 9(3): 399-417
URI: https://doi.org/10.1504/IJPMB.2019.100975
http://repository.iitr.ac.in/handle/123456789/12061
Issue Date: 2019
Publisher: Inderscience Enterprises Ltd.
Keywords: Configuration selection
Order state
Part family
Process
Reconfiguration cost
RMS
ISSN: 14606739
Author Scopus IDs: 56126929600
7402520507
57202478211
Author Affiliations: Mittal, K.K., Mechanical and Industrial Engineering Department, Indian Institute of Technology, Roorkee, Uttarakhand 247667, India, Mechanical Engineering Department, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh 201009, India
Jain, P.K., Mechanical and Industrial Engineering Department, Indian Institute of Technology, Roorkee, Uttarakhand 247667, India, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Madhya Pradesh 482005, India
Kumar, D., Mechanical and Industrial Engineering Department, Indian Institute of Technology, Roorkee, Uttarakhand 247667, India
Corresponding Author: Mittal, K.K.; Mechanical and Industrial Engineering Department, Indian Institute of TechnologyIndia; email: Kml900@rediffmail.com
Appears in Collections:Journal Publications [ME]

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