Applying Quick Response Manufacturing to Exploit Variability and Reduce Lead Time in the Job Shops
C. S. Bong1, K. E. Chong2
1C. S. Bong, Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
2K. E. Chong, Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
Manuscript received on 24 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 26 June 2019 | PP: 63-69 | Volume-8 Issue-1S5 June 2019 | Retrieval Number: A00120681S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The connection between limit use, lead time and inconstancy is surely knew in the assembling business. The high-blend, low-volume and client built item assembling, for example, exactness parts creation is a run of the mill high-inconstancy generation framework. Some inconstancy is unavoidable in this condition, yet the capacity to adapt to it can likewise be a basic wellspring of benefit. This paper will clarify why Quick Response Manufacturing (QRM) idea is picked to adapt to the vital inconstancy that can’t be dispensed with by Lean execution in the activity shops. The Queuing Theory is connected ahead of the pack time decrease approach and the outcomes are exhibited through Operating Curves with evolving Variability, Utilization and Raw Process Time. The Operating Curve demonstrates the QRM rule functions admirably by lessening limit use will in general have an a lot bigger effect on lead time than decreases in changeability. Thus, the subsequent improvement can be associated to diminishing length or potentially cost in the long haul.
Keywords: Quick Response Manufacturing, Small and Medium Enterprises, Job Shop, Variability, Lead Time.
Scope of the Article: Manufacturing Processes