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Data Communication Based on MQTT in a Polymer Extrusion Process

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Design and Development of Best Class Discrete Production Model for Distributed Manufacturing under Industry 4.0.

Usman A Akbar^1,2, Samir Mekid^1,2, Omar Alsawafy^3,2

¹Department of Mechanical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia.

Arabian Journal for Science and Engineering

|August 22, 2022

Summary

Distributed manufacturing (DM) networks enhance facility utilization by decentralizing production. A new continuous supervised model improved average manufacturing performance by 51.3% through continuous monitoring and ranking.

Keywords:

Discrete production model Distributed manufacturing International load sharing (ILS) system Production line Supply chain

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Area of Science:

Manufacturing Engineering
Operations Management
Industrial Systems

Background:

Global competitiveness and dynamic customer demands challenge manufacturers.
Traditional capital investment limits facility expansion for large orders.
Distributed Manufacturing (DM) offers a solution by decentralizing production and increasing facility utilization.

Purpose of the Study:

To develop and evaluate a new network model for distributed manufacturing.
To enhance manufacturer selection for customer orders based on performance data.
To improve overall manufacturing enterprise performance through a continuous supervised approach.

Main Methods:

Development of a continuous supervised model using ARENA simulation software.
Integration of Industry 4.0 and Industrial Internet of Things (IIoT) for real-time monitoring.
Utilizing the Analytic Hierarchy Process (AHP) to create a composite performance measure.

Main Results:

The proposed continuous supervised model was simulated and compared to standard practices.
Continuous monitoring of cost, quality, delivery time, and production rate was implemented.
The model demonstrated a significant improvement in average manufacturing performance by 51.3%.

Conclusions:

The continuous supervised model effectively enhances distributed manufacturing network performance.
Real-time monitoring and performance-based ranking are crucial for optimizing DM networks.
This approach addresses the need for agile and responsive manufacturing in a competitive global market.