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Showing 2 results for El Barkany

Hamza Samouche, Abdellah El Barkany, Ahmed Elkhalfi,
Volume 34, Issue 2 (IJIEPR 2023)
Abstract

Sales and operations planning (S&OP) is considered as an important tool at the planning strategic level. Its models vary depending on industries. The Asian model is known to be very developed. Having several parameters, the Asian model proves to be an effective tool, precisely for the study of capacity. However, after several searches made in various databases, we did not find any concrete model actually used in industry and whose parameters are presented and which defines the analysis logic to better align supply and demand. In this article, we will carry out various simulations on the basis of the data of a model of sales and operations planning used in a wire harnesses factory, in order to explain the decision-making process during S&OP meetings. The parameters of the model and the various constraints that were facing the sales and operations planning team are presented and discussed as well as the financial consequences of certain decisions. As a result of this study, we can notice that S&OP is indeed a powerful tool that makes it possible to detect in advance the various constraints whose resolution concludes in an optimal alignment between customer demand and factory capacity.
 
Chaymae Bahtat, Abdellah El Barkany, Abdelouahhab Jabri,
Volume 34, Issue 2 (IJIEPR 2023)
Abstract

The productivity and flexibility of current manufacturing systems (dedicated and flexible production systems) are no longer competitive as products are developed and brought to market in increasingly shorter cycles. As a result, a new generation of reconfigurable manufacturing systems (RMS) has emerged that should be responsive enough to cope with sudden market changes while maintaining excellent product quality at low prices. These systems could also leverage technologies at the heart of Industry 4.0, such as artificial intelligence and machine learning, the Internet of Things (IoT), and digital twins, to create a smart, dynamic, and most importantly, reconfigurable factory, dubbed the Reconfigurable Factory 4.0. This study provides an organized and up-to-date systematic review of the literature on reconfigurable manufacturing systems, from design to simulation, and from automation to the fourth industrial revolution (Industry 4.0) highlighting the application areas as well as the significant approaches and technologies that have contributed to the development of a Reconfigurable Factory 4.0.
 

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