Improving Throughput Using Artificial Intelligence

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Seyed Nezhad Fahim Seyed Reza; Gholami Gelsefid Fatemeh

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Journal Paper

Paper Information

Journal: Journal of Applied and Basic Machine Intelligence Research Year:2023 | Volume:1 | Issue:1 Page(s): 129-144

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Information Journal Paper

Title

Improving Throughput Using Artificial Intelligence

Author(s)

Seyed Nezhad Fahim Seyed Reza | Gholami Gelsefid Fatemeh | Issue Writer Certificate

Keywords

Throughput Bottlenecks

Artificial intelligence

Manufacturing Systems

Abstract

Identifying and eliminating Throughput Bottlenecks is a key tool to increase throughput and productivity in production systems. However, due to the complexity and dynamics of factory, eliminating Throughput Bottlenecks is considered a major challenge. Researchers have tried to develop tools to help identify and eliminate these bottlenecks. Historically, research efforts have focused on developing modeling approaches to identify bottlenecks in Manufacturing Systems. However, with the advent of industrial digitization and Artificial intelligence, researchers have explored various ways in which Artificial intelligence can be used to eliminate bottlenecks. In this research, the role of Artificial intelligence in identifying and eliminating bottlenecks is stated and the efforts made in the field of operational Throughput Bottlenecks are classified into four categories: (1) identify, (2) diagnose, (3) predict and (4) prescribe. Also, practical recommendations and future research topics have been provided, which can help to improve the practi c a l a n d t h e o r e t i c a l u s e o f a r t i f i c i a l i n t e l l i g e n c e i n i n d u s t r i e s .

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