Modeling of a Clothing Assembly line through the Identification Process
Zineb El Idrissi Larabi1, Sofia Rachad2, Abdelmjid Aitziane3, Benayad Nsiri4, Bahloul Bensassi5
1Zineb EL IDRISSI LARABI, GITIL Laboratory, Faculty of Sciences Ain Chock, Hassan II University , Casablanca, Morocco.
2Sofia RACHAD, GITIL Laboratory, Faculty of Sciences Ain Chock, Hassan II University , Casablanca, Morocco.
3Abdelmjid AITZIANE, GITIL Laboratory, Faculty of Sciences Ain Chock, Hassan II University , Casablanca, Morocco.
4Benayad NSIRI, Research Center STIS, M2CS, Higher School of Technical Education of Rabat (ENSET), Mohammed V University in Rabat, Morocco.
5Bahloul BENSASSI, GITIL Laboratory, Faculty of Sciences Ain Chock, Hassan II University , Casablanca, Morocco.
Manuscript received on 03 August 2019. | Revised Manuscript received on 07 August 2019. | Manuscript published on 30 September 2019. | PP: 7318-7322 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6017098319/2019©BEIESP | DOI: 10.35940/ijrte.C6017.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: 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.
Keywords: System Identification; Difference equations; Z-Transform ; Modeling; Supply chain; Production; Complexity
Scope of the Article: Quality Assurance Process, Standards, and Systems