Implementation of a role-based decision support system in an integrated petrochemical enterprise

E. A. Buhulaiga; A. Telukdarie

doi:10.1109/IEEM.2017.8289955

Implementation of a role-based decision support system in an integrated petrochemical enterprise

E. A. Buhulaiga
, A. Telukdarie

Johannesburg Business School

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Delivering business optimization via systems requires integration of the enterprise and manufacturing systems. Manufacturing Operation Management (MOM) Systems bridge the gap between plant systems and Enterprise Resources Planning Systems. Traditional MOM consists of a set of standalone applications that are living in silos with minimum interaction. This causes functional replication and overlap among the MOM applications, which usually lead to minimizing the full utilization of these applications. This paper describes the philosophy of the Role-Based Decision Support System (RB-DSS). This research details the process of knowledge modeling, which is based on the ISA-95 functional decomposition, extending ISA-95 into the implementation of workflow applications to execute and coordinate operations tasks and streamline plant operations with ever-changing supply chain processes. The last aspect of this research focuses on demonstrating the benefits of applying the RB-DSS together with changes to traditional MOM operations by providing standard role-based execution templates.

Original language	English
Title of host publication	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Publisher	IEEE Computer Society
Pages	568-572
Number of pages	5
ISBN (Electronic)	9781538609484
DOIs	https://doi.org/10.1109/IEEM.2017.8289955
Publication status	Published - 2 Jul 2017
Event	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore Duration: 10 Dec 2017 → 13 Dec 2017

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
Volume	2017-December
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Country/Territory	Singapore
City	Singapore
Period	10/12/17 → 13/12/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Decision Analysis and Methods
Information Processing and Engineering
Manufacturing Systems

ASJC Scopus subject areas

Business, Management and Accounting (miscellaneous)
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality

Access to Document

10.1109/IEEM.2017.8289955

Cite this

Buhulaiga, E. A., & Telukdarie, A. (2017). Implementation of a role-based decision support system in an integrated petrochemical enterprise. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 (pp. 568-572). (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2017-December). IEEE Computer Society. https://doi.org/10.1109/IEEM.2017.8289955

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title = "Implementation of a role-based decision support system in an integrated petrochemical enterprise",

abstract = "Delivering business optimization via systems requires integration of the enterprise and manufacturing systems. Manufacturing Operation Management (MOM) Systems bridge the gap between plant systems and Enterprise Resources Planning Systems. Traditional MOM consists of a set of standalone applications that are living in silos with minimum interaction. This causes functional replication and overlap among the MOM applications, which usually lead to minimizing the full utilization of these applications. This paper describes the philosophy of the Role-Based Decision Support System (RB-DSS). This research details the process of knowledge modeling, which is based on the ISA-95 functional decomposition, extending ISA-95 into the implementation of workflow applications to execute and coordinate operations tasks and streamline plant operations with ever-changing supply chain processes. The last aspect of this research focuses on demonstrating the benefits of applying the RB-DSS together with changes to traditional MOM operations by providing standard role-based execution templates.",

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Buhulaiga, EA & Telukdarie, A 2017, Implementation of a role-based decision support system in an integrated petrochemical enterprise. in 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2017-December, IEEE Computer Society, pp. 568-572, 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017, Singapore, Singapore, 10/12/17. https://doi.org/10.1109/IEEM.2017.8289955

Implementation of a role-based decision support system in an integrated petrochemical enterprise. / Buhulaiga, E. A.; Telukdarie, A.
2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE Computer Society, 2017. p. 568-572 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Delivering business optimization via systems requires integration of the enterprise and manufacturing systems. Manufacturing Operation Management (MOM) Systems bridge the gap between plant systems and Enterprise Resources Planning Systems. Traditional MOM consists of a set of standalone applications that are living in silos with minimum interaction. This causes functional replication and overlap among the MOM applications, which usually lead to minimizing the full utilization of these applications. This paper describes the philosophy of the Role-Based Decision Support System (RB-DSS). This research details the process of knowledge modeling, which is based on the ISA-95 functional decomposition, extending ISA-95 into the implementation of workflow applications to execute and coordinate operations tasks and streamline plant operations with ever-changing supply chain processes. The last aspect of this research focuses on demonstrating the benefits of applying the RB-DSS together with changes to traditional MOM operations by providing standard role-based execution templates.

AB - Delivering business optimization via systems requires integration of the enterprise and manufacturing systems. Manufacturing Operation Management (MOM) Systems bridge the gap between plant systems and Enterprise Resources Planning Systems. Traditional MOM consists of a set of standalone applications that are living in silos with minimum interaction. This causes functional replication and overlap among the MOM applications, which usually lead to minimizing the full utilization of these applications. This paper describes the philosophy of the Role-Based Decision Support System (RB-DSS). This research details the process of knowledge modeling, which is based on the ISA-95 functional decomposition, extending ISA-95 into the implementation of workflow applications to execute and coordinate operations tasks and streamline plant operations with ever-changing supply chain processes. The last aspect of this research focuses on demonstrating the benefits of applying the RB-DSS together with changes to traditional MOM operations by providing standard role-based execution templates.

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Buhulaiga EA, Telukdarie A. Implementation of a role-based decision support system in an integrated petrochemical enterprise. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE Computer Society. 2017. p. 568-572. (IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2017.8289955

Implementation of a role-based decision support system in an integrated petrochemical enterprise

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this