DocumentCode
2853472
Title
A worker assignment for machine cluster in the manufacturing cell
Author
Prombanpong, Suksan ; Seenpipat, Waraporn
Author_Institution
Dept. of Ind. Eng., King Mongkut´´s Univ. of Technol. Thonburi, Bangkok, Thailand
fYear
2011
fDate
6-9 Dec. 2011
Firstpage
352
Lastpage
356
Abstract
A worker assignment for machine cluster in the manufacturing cell was discussed in this paper. The objective of this paper is two folds. First, it aims to demonstrate a calculation of the maximum number of machines which one worker can optimally operate without an idle time on the machine. Then, the simulation software program is utilized to evaluate various proposed improvement alternatives based on maximum machine efficiency criteria. In this study one of the hard disk drive manufacturers in Thailand was explored. Previously, one worker was assigned to service eight semi-automated machines in the cluster. The main tasks of the worker were loading, checking and recording. Due to the fact that workload of the worker and the machine cycle is not balanced so the utilization of the worker cannot be maximized. Therefore, the optimum number of machines which one worker can ideally service is calculated. It is found that one worker can optimally serve up to eleven machines. However, other alternatives are also explored. As a result, by systematic work elimination, one worker can service up to fourteen machines per cycle with 96.09% machine utilization.
Keywords
cellular manufacturing; hard discs; personnel; Thailand; hard disk drive manufacturers; machine cluster; machine utilization; manufacturing cell; maximum machine efficiency criteria; semiautomated machines; simulation software program; systematic work elimination; worker assignment; Analytical models; Industrial engineering; Inspection; Linear programming; Manufacturing; Mathematical model; Production; Worker assignments; machine cluster; single manufacturing cell;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location
Singapore
ISSN
2157-3611
Print_ISBN
978-1-4577-0740-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2011.6117937
Filename
6117937
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