Expert Systems Utilization and Benefits-Actual and Expected an Exploratory Study on Large Plants in the Chemical and Plastic Industry

Khalid M. Al-Shuaibi

Article Details

Expert Systems Utilization and Benefits-Actual and Expected an Exploratory Study on Large Plants in the Chemical and Plastic Industry

Authors:

Khalid M. Al-Shuaibi

Publisher:

Kuwait University

Journal:

Arab Journal of Administrative Sciences Vol.7 Issue 2, pp.255-292

Document Type:

Article

Publication Date:

1/2000

Document Language:

English

Document ID (Org No.):

2001943430

pISSN:

2957-3521

Keywords:

Abstract:

 The objective of this exploratory study is to find out the extend of the usage of expert systems in large Saudi Plants as well as the benefits of these systems. The study found that the usage of expert systems is limited. Therefore, the reasons that prevent or encouraged certain plants for utilizing expert systems were outlined. As a result of this, Comparisons were made between the group of plants that actually use expert systems and those that are expected to use them. Using Factor Analysis, the study found eight factors that show the benefits of expert systems.

Article Details

Expert Systems Utilization and Benefits-Actual and Expected an Exploratory Study on Large Plants in the Chemical and Plastic Industry

Authors:

Khalid M. Al-Shuaibi

Publisher:

Kuwait University

Journal:

Arab Journal of Administrative Sciences Vol.7 Issue 2, pp.255-292

Document Type:

Article

Publication Date:

1/2000

Document Language:

English

Document ID (Org No.):

2001943430

pISSN:

2957-3521

Artificial Intelligence

Expert Systems

Chemical Industries Sector

Traditional Systems

Actual and expected uses of expert systems

Issues

Article Details

Expert Systems Utilization and Benefits-Actual and Expected an Exploratory Study on Large Plants in the Chemical and Plastic Industry

Authors: Khalid M. Al-Shuaibi

Publisher: Kuwait University

Journal: Arab Journal of Administrative Sciences Vol.7 Issue 2, pp.255-292

Document Type: Article

Publication Date: 1/2000

Document Language: English

Document ID (Org No.): 2001943430

pISSN: 2957-3521

Artificial Intelligence

Expert Systems

Chemical Industries Sector

Traditional Systems

Actual and expected uses of expert systems

Issues

Authors:

Khalid M. Al-Shuaibi

Publisher:

Kuwait University

Journal:

Arab Journal of Administrative Sciences Vol.7 Issue 2, pp.255-292

Document Type:

Article

Publication Date:

1/2000

Document Language:

English

Document ID (Org No.):

2001943430

pISSN:

2957-3521