Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems

Liwan Liyanage; J. George Shanthikumar; Cicil Fonseka; Basil M. De Silva; Nitis Mukhopadhyay

Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems

Liwan Liyanage, J. George Shanthikumar, Cicil Fonseka, Basil M. De Silva, Nitis Mukhopadhyay

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

ERP Systems are developed to assist information management and analysis to organisations for gaining business advantage. Although ERP systems claim to produce competitive advantage for companies investing on ERP, it is still questionable (See [9]: Powell, 1997). This is also valid for IT in general. In this paper we introduce a process using Operational Statistics by which such competitive advantage will evolve and to show how managers and users can manage the IT resource to become a source of competitive advantage. The aim of this paper is to give an integrated approach to improve management systems that leads to competitive advantage by combining techniques of the three disciplines operations research, statistics and computing/IT together. This has been achieved by addressing the need to integrate these disciplines in a greater level than it is done in the past. Further this paper introduces a novel approach in integrating operations research and statistics techniques namely Operational Statistics.

Original language	English
Title of host publication	Visions of Futuristic Methodologies: Proceedings of the International Srilankan Statistical Conference, held in Kandy, Sri Lanka, 28-30 December, 2004
Publisher	Postgraduate Institute of Science University of Peradeniya / RMIT University Melbourne
Number of pages	9
ISBN (Electronic)	0864593392
ISBN (Print)	0864593406
Publication status	Published - 2004
Event	International Sri lankan Statistical Conference: Visions of Futuristic Methodologies - Duration: 1 Jan 2004 → …

Conference

Conference	International Sri lankan Statistical Conference: Visions of Futuristic Methodologies
Period	1/01/04 → …

Keywords

decision support systems
parameter estimation
operational statistics
computer simulation
enterprise resource planning

Cite this

Liyanage, L., Shanthikumar, J. G., Fonseka, C., De Silva, B. M., & Mukhopadhyay, N. (2004). Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems. In Visions of Futuristic Methodologies: Proceedings of the International Srilankan Statistical Conference, held in Kandy, Sri Lanka, 28-30 December, 2004 Postgraduate Institute of Science University of Peradeniya / RMIT University Melbourne.

Liyanage, Liwan ; Shanthikumar, J. George ; Fonseka, Cicil et al. / Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems. Visions of Futuristic Methodologies: Proceedings of the International Srilankan Statistical Conference, held in Kandy, Sri Lanka, 28-30 December, 2004. Postgraduate Institute of Science University of Peradeniya / RMIT University Melbourne, 2004.

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title = "Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems",

abstract = "ERP Systems are developed to assist information management and analysis to organisations for gaining business advantage. Although ERP systems claim to produce competitive advantage for companies investing on ERP, it is still questionable (See [9]: Powell, 1997). This is also valid for IT in general. In this paper we introduce a process using Operational Statistics by which such competitive advantage will evolve and to show how managers and users can manage the IT resource to become a source of competitive advantage. The aim of this paper is to give an integrated approach to improve management systems that leads to competitive advantage by combining techniques of the three disciplines operations research, statistics and computing/IT together. This has been achieved by addressing the need to integrate these disciplines in a greater level than it is done in the past. Further this paper introduces a novel approach in integrating operations research and statistics techniques namely Operational Statistics.",

keywords = "decision support systems, parameter estimation, operational statistics, computer simulation, enterprise resource planning",

author = "Liwan Liyanage and Shanthikumar, {J. George} and Cicil Fonseka and {De Silva}, {Basil M.} and Nitis Mukhopadhyay",

year = "2004",

language = "English",

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booktitle = "Visions of Futuristic Methodologies: Proceedings of the International Srilankan Statistical Conference, held in Kandy, Sri Lanka, 28-30 December, 2004",

publisher = "Postgraduate Institute of Science University of Peradeniya / RMIT University Melbourne",

note = "International Sri lankan Statistical Conference: Visions of Futuristic Methodologies ; Conference date: 01-01-2004",

}

Liyanage, L, Shanthikumar, JG, Fonseka, C, De Silva, BM & Mukhopadhyay, N 2004, Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems. in Visions of Futuristic Methodologies: Proceedings of the International Srilankan Statistical Conference, held in Kandy, Sri Lanka, 28-30 December, 2004. Postgraduate Institute of Science University of Peradeniya / RMIT University Melbourne, International Sri lankan Statistical Conference: Visions of Futuristic Methodologies, 1/01/04.

Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems. / Liyanage, Liwan; Shanthikumar, J. George; Fonseka, Cicil et al.
Visions of Futuristic Methodologies: Proceedings of the International Srilankan Statistical Conference, held in Kandy, Sri Lanka, 28-30 December, 2004. Postgraduate Institute of Science University of Peradeniya / RMIT University Melbourne, 2004.

Research output: Chapter in Book / Conference Paper › Conference Paper

TY - GEN

T1 - Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems

AU - Liyanage, Liwan

AU - Shanthikumar, J. George

AU - Fonseka, Cicil

AU - De Silva, Basil M.

AU - Mukhopadhyay, Nitis

PY - 2004

Y1 - 2004

N2 - ERP Systems are developed to assist information management and analysis to organisations for gaining business advantage. Although ERP systems claim to produce competitive advantage for companies investing on ERP, it is still questionable (See [9]: Powell, 1997). This is also valid for IT in general. In this paper we introduce a process using Operational Statistics by which such competitive advantage will evolve and to show how managers and users can manage the IT resource to become a source of competitive advantage. The aim of this paper is to give an integrated approach to improve management systems that leads to competitive advantage by combining techniques of the three disciplines operations research, statistics and computing/IT together. This has been achieved by addressing the need to integrate these disciplines in a greater level than it is done in the past. Further this paper introduces a novel approach in integrating operations research and statistics techniques namely Operational Statistics.

AB - ERP Systems are developed to assist information management and analysis to organisations for gaining business advantage. Although ERP systems claim to produce competitive advantage for companies investing on ERP, it is still questionable (See [9]: Powell, 1997). This is also valid for IT in general. In this paper we introduce a process using Operational Statistics by which such competitive advantage will evolve and to show how managers and users can manage the IT resource to become a source of competitive advantage. The aim of this paper is to give an integrated approach to improve management systems that leads to competitive advantage by combining techniques of the three disciplines operations research, statistics and computing/IT together. This has been achieved by addressing the need to integrate these disciplines in a greater level than it is done in the past. Further this paper introduces a novel approach in integrating operations research and statistics techniques namely Operational Statistics.

KW - decision support systems

KW - parameter estimation

KW - operational statistics

KW - computer simulation

KW - enterprise resource planning

UR - http://handle.uws.edu.au:8081/1959.7/44764

M3 - Conference Paper

SN - 0864593406

BT - Visions of Futuristic Methodologies: Proceedings of the International Srilankan Statistical Conference, held in Kandy, Sri Lanka, 28-30 December, 2004

PB - Postgraduate Institute of Science University of Peradeniya / RMIT University Melbourne

T2 - International Sri lankan Statistical Conference: Visions of Futuristic Methodologies

Y2 - 1 January 2004

ER -

Liyanage L, Shanthikumar JG, Fonseka C, De Silva BM, Mukhopadhyay N. Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems. In Visions of Futuristic Methodologies: Proceedings of the International Srilankan Statistical Conference, held in Kandy, Sri Lanka, 28-30 December, 2004. Postgraduate Institute of Science University of Peradeniya / RMIT University Melbourne. 2004

Operational statistics and IT solutions : adding to enterprise resource planning (ERP) systems

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Conference

Keywords

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