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Simulation-based comparisons of four apparel cell production modes of one clothing production line
Author(s) -
Guoqiang Pan
Publication year - 2014
Publication title -
journal of industrial engineering and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.385
H-Index - 29
eISSN - 2013-8423
pISSN - 2013-0953
DOI - 10.3926/jiem.1184
Subject(s) - production (economics) , production line , originality , engineering , set (abstract data type) , production efficiency , clothing , industrial engineering , quantitative analysis (chemistry) , mode (computer interface) , computer science , simulation , manufacturing engineering , mechanical engineering , human–computer interaction , qualitative research , economics , history , social science , chemistry , archaeology , chromatography , sociology , macroeconomics , programming language

Purpose: This research, by using the SIMIO simulation platform, provides a quantitative and comparative analysis of how the efficiency of four different cell production modes is affected. It is hoped that the outcomes will be of some help for garment factories to optimize their production lines.

Design/methodology/approach: The SIMIO simulation platform was employed in the research and comparisons were made of the simulation test results about the four different production modes.

Findings: The operation mode, number of operators, and number of buffer areas are key factors affecting the production line efficiency, and need to be reasonably set to achieve the highest efficiency.

Originality/value: As most research literature so far is qualitative, this research provided a simulation-based quantitative analysis of the production efficiency under different cell production modes.

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