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Modeling of a Clothing Assembly line through the Identification Process
Author(s) -
Zineb EL IDRISSI LARABI,
Sofia Rachad,
Benayad Nsiri,
Bahloul BENSASSI
Publication year - 2019
Publication title -
international journal of recent technology and engineering (ijrte)
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6017.098319
Subject(s) - clothing , identification (biology) , process (computing) , order (exchange) , control (management) , computer science , manufacturing engineering , supply chain , clothing industry , set (abstract data type) , textile industry , work (physics) , assembly line , fast fashion , business , industrial engineering , risk analysis (engineering) , operations research , engineering , marketing , mechanical engineering , botany , archaeology , finance , artificial intelligence , biology , history , programming language , operating system
Nowadays, a new concept called fast fashion emerged worldwide. In order to remain efficient, companies need to keep their logistics under control. For that purpose, they need to control their manufacturing and decrease their delays and costs. To achieve that, industries need to make a lot of experiments before optimizing their supply chains. This may lead to unnecessary costs and it is contrary to the company’s policy. To overcome this situation, modeling and simulating could provide the best economical solution. The aim of this work is to obtain a mathematical model of an assembly line in the textile and clothing industry. The system will be represented by a black box with a real set of data collected from the industry. This model will have to reflect as faithfully as possible the studied system.

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