Optimization of labor allocation at a syringe production facility : work study

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.

Bibliographic Details
Main Author: Ng, Gar Yan
Other Authors: Brian W. Anthony.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/46152
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author Ng, Gar Yan
author2 Brian W. Anthony.
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Ng, Gar Yan
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description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
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spelling mit-1721.1/461522019-04-12T10:00:51Z Optimization of labor allocation at a syringe production facility : work study Ng, Gar Yan Brian W. Anthony. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008. Includes bibliographical references (leaf 46). At MD Company (Singapore), the syringe value stream faces escalating labor cost and high labor turnover. Two labor allocations were proposed previously to optimize current labor resources, with the aim of controlling the labor cost effectively without affecting the production. Proposal Two, which had demonstrated significant increase in productivity and reduced labor cost through computer simulations, entailed an addition of two workers each in the new dedicated inspector and material handler job designations. The associated new job scopes combine tasks which are currently assigned broadly to production technicians working on the syringe production floor. A work study approach was undertaken with the broad aim of reducing waste from the new job scopes, as well as to verify headcount used in the simulation of Proposal 2. Dedicating tasks to individuals presented opportunities to reduce repetition and to achieve collective savings via changes in methods. Within the work study, a method study provided a theoretical basis of how best to carry out the new job scopes, while a time study established time needed to perform a given set of tasks. Results found were consistent with that from simulation of Proposal 2. Further improvements were made in reducing inspection cycle time through streamlining of inspections. Identification and separation of tasks which are not performed constantly paved the way for one of the two material handlers to be hired on an overtime basis. Future iterative identification of waste and its removal could help current work converge to an optimal work standard. by Gar Yan Ng. M.Eng. 2009-06-30T17:27:53Z 2009-06-30T17:27:53Z 2008 2008 Thesis http://hdl.handle.net/1721.1/46152 399605141 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 51 leaves application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Ng, Gar Yan
Optimization of labor allocation at a syringe production facility : work study
title Optimization of labor allocation at a syringe production facility : work study
title_full Optimization of labor allocation at a syringe production facility : work study
title_fullStr Optimization of labor allocation at a syringe production facility : work study
title_full_unstemmed Optimization of labor allocation at a syringe production facility : work study
title_short Optimization of labor allocation at a syringe production facility : work study
title_sort optimization of labor allocation at a syringe production facility work study
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/46152
work_keys_str_mv AT nggaryan optimizationoflaborallocationatasyringeproductionfacilityworkstudy