Peter Goldschmidt received a B.Sc. from California State University (Business Administration - Quantitative Methods and Computer Systems); a M.Ec. (Applied Econometrics); Ph.D. (Computer Science and Finance) and Graduate Certificate inTertiary Teaching from The University of Western Australia, Fellow Higher Education Academy - FHEA. Experienced in IS/IT, economic and quantitative analysis. He is active in academia, industry, business, government, and international organisations as a researcher, adviser and consultant; presented to numerous international conferences, published extensively, reviewed for international journals and conferences. His Ph.D. dissertation was awarded the 1997 International Outstanding Doctoral Dissertation Award, eligible for doctorates completed 1994 -1996, from the Information Systems section of The American Accounting Association.
He is currently a Professor in Information Management at UWA Business School, working in the areas of Knowledge Management, Decision Support, Agent Technology, e-Commerce, Artificial Intelligence Applied to Business, Compliance Infrastructure and Asset Management work flow decision support. He is a recipient of an Australian COMET grant to commercialise his PhD research. He is the Principal and Chair of the company Alert-KM Technology, which holds the IP (100%) of the CMAD technology.
Since completed his PhD 1997, investigating and proposing a new approach to support Compliance Monitoring for Anomaly detection (CMAD) in Complex Environments, he has extended this research from compliance monitoring of stock exchange transactions (Stock Market Surveillance) to diverse areas such as CMAD applied to the energy and petroleum industry; asset management in engineering; aerospace and defense.
Chevron Energy Technology Pty Ltd Research Project: AES 08-P5SR-043 - Real-Time Alarm Verification and Remedial Response Optimization, ongoing to Phase 4 in 2014, Chevron funding - $600,000.
CRC-CIEAM - Research Project MD301 - Multi-criteria Asset Decision Support Tool, $128,000, 2007.
Department of Commerce and Trade, AusIndustry, – Commercialising.
Emerging Technologies – COMET grant. $ 65,000, 2001.
Department of Foreign Affairs and Trade, Australian Safeguards and Non.
Proliferation Office, $2,000, 1999.
The Australian Stock Exchange 1992-1996, $17,750.
Department of Education Employment and Training, Staff Development Grant, $3,897,1992,.
The Arthur Andersen & Co. International Research Grant,1989, $5,000.
2002 – Present, Professor in Information Management, The University of Western Australia
1997 – 2001, Senior Lecturer in Information Management, The University of Western Australia
1985 - 1996, Lecturer in Accounting Information Systems (tenured since 1988), Department of Accounting and Finance, The University of Western Australia
Chevron: Real-Time Alarm Verification and Remedial Response Optimization
The new technology, called CMAD, Compliance Monitoring for Anomaly Detection was developed as part of Prof Goldschmidt’s doctoral dissertation which won the 1997 International Outstanding Doctoral Dissertation Award, eligible for doctorates completed 1994 -1996, from the Information Systems section of The American Accounting Association. It attracted an Australian COMET grant to commercialize this PhD research and is patented in 27 countries by the company Alert-KM Technology Pty Ltd, owned by Goldschmidt and UWA. Alert-KM Technology holds the business process IP (100%) of the CMAD technology.
The CMAD system technology verifies the necessary and sufficient conditions supporting or refuting positive alarms and optimizes the actionable response – in context with the generated alarms and their environment. This addresses a strategic gap as there is no work being done in this area. The specific focus area priority is to reduce intervention frequency & improve intervention capability. Additionally this approach will develop new skills for False Alert/Alarm Identification, Verification and Knowledge Management
The CMAD system is a business rules and template based tool that assists in managing the alarms generated by existing monitoring infrastructure - primarily identifying and managing the false alarms, verifying the true alarms, generating prioritized actionable indicators and audit trails.
The system accumulates alarm specific and alarm environmental information appropriate to the generated alarm, generates prioritized actionable indicators, and supports supervising engineers in assessing the actionable priorities when assessing these alarms. The CMAD technology also provides for the analysis’s judgment when assessing alarms; a horizontal team decision support environment, provides an audit trail of decisions, and supports a drill down for vertical (hierarchical) review facility. The system was originally successfully tested at the Surveillance Division of the Australian Stock Exchange, which cosponsored its development, with inputs from the New York Stock Exchange and the NASDS.
CIEAM: Multi-criteria asset decision support tool (MD301), in Partnership with Professor C. Fidge, A/Prof L. Ma, et al.
Models and Decision Systems is developing and implementing reliability and maintenance models, business processes and procedures using a holistic approach to asset maintenance and management.
The models integrate business goals, production and maintenance functions, taking into account total life cycle costs including acquisition, operations, maintenance and opportunity costs, and the cost of down time risks.
The programme will significantly advance data analysis and reliability models, business architecture and strategic decision systems suitable for each CIEAM industry sector in physical engineering asset management.
The programme’s specific aims are: To develop and test intelligent maintenance decision systems for asset management processes suitable for CIEAM industry sectors, and to develop applicable reliability analysis models based on advanced data models and failure analysis algorithms.
Integrated research outputs will accommodate the requirements of individual industries.
Dr. Peter Goldschmidt, Project Leader/ Chief Researcher from the UWA Business School is collaborating with Professor of Chemical Engineering, Dr. Moses Tade (Principal Researcher, Dean of the Curtin School of Engineering), under the auspices of the Western Australian Energy Research Alliance, WA:ERA.
WA:ERA combines the multi-disciplinary expertise of three established research institutions: The University of Western Australia, CSIRO and Curtin University of Technology.
Based at the Australian Resources Research Centre (ARRC) at Perth’s Western Australian Technology Park, the Alliance is one of the principal hubs in the State’s oil and gas technology cluster. The three research organisations share knowledge, skills and facilities. Through the Alliance, these organisations deploy their collective world-scale resources on oil and gas industry research and education challenges.
Working in partnership with companies and government as part of Western Australia’s expanding energy sector, WA:ERA is rapidly developing into one of the world’s leading, and easily accessible, oil and gas research organisations. WA:ERA’s single point access to the combined skill base of UWA, Curtin, and CSIRO, makes it simple to build effective long-term research partnerships.
With support and funding from Chevron are contributing to the National Priorities of Frontier Technologies for Building and Transforming Australian Industries -Frontier technologies, Smart information use and Environmentally Sustainable Australia - Transforming existing industries by adapting system technology originally developed for real-time financial auditing to determine whether it can be adapted to a process environment, helping to better utilize available information, and improve our understanding of what additional information (e.g., added sensors) would be of most value. This approach will also develop new skills for False Alert/Alarm Identification, Verification and Knowledge Management.
It is ever more important for oil and gas companies to efficiently and optimally manage their production assets. Even minor differences in the ability to produce assets offer the potential for achieving significant competitive advantages. New system technology may provide a real time environment to identify and manage accurate and reliable analysis of data regarding well, reservoir and facility performance. Alarm management and operational excellence are inherently connected. Alarm management leads to improved decision processes, earlier proactive corrective actions, and enhanced operational effectiveness delivering cost minimization and enhanced economics of marginal developments. The system technology supports supervising engineers in assessing the actionable priorities when assessing these alarms.
CIEAM is a Cooperative Research Centre (CRC) that works to improve the efficiency of infrastructure and engineering management, and the profitability of Australian industry. We achieve these improvements by creating and implementing integrated engineering asset management systems and know-how.
Working in the defence, utilities, transportation and process sectors, we:
Optimise asset management systems,
Seek out and develop innovative technologies, processes and programmes,
Enhance infrastructure cost-effectiveness, productivity and longevity, and
Build Australian capability in research, postgraduate education, and training and service provision.
As a CRC, our research focuses on real asset management problems faced by industry today. We work in direct partnership with our participants, helping them leverage research and development investments to generate tangible cost savings.
CIEAM's work brings together leading academic and industry researchers from around the country who identify and promote whole-of-life asset management strategies, including:
Optimising asset availability and performance,
The more accurate capture and use of data, and
Minimising the need for expert human intervention.
Links with Industry
Chevron, Energy Technology Company (through WA:ERA)
Participants: ANSTO, DSTO, Monash, QR, QUT, Rio Tinto Aluminum, Sunwater, UniSA, UWA, Curtin. (through CIEAM)
Collaborations with Other Institutions
Western Australian Energy Research Alliance (WA:ER), Chevron, Curtin, CSIRO
Center for Integrated Engineering Asset Management (CIEAM) - Queensland University of Technology, University of South Australia
UWA representative at The Australian Council of Professors and Heads of Information Systems (ACPHIS).
Since joining the department of Information Management and Marketing, Prof. Goldschmidt has assisted in formulating undergraduate and postgraduate curricula, introducing decision support as a reference discipline with leading edge decision support systems (DSS) research being used in the newly introduced DSS undergraduate unit, as well as other related units and postgraduate research.
Curriculum Development In And Out Of UWA
Contributed to information systems curriculum development in both Accounting and Finance (1985 - 1996) and Information Management (1997- present). Having led a number of unit development programs from inception to implementation.
Joined the Information Resource Management Association (IRMA) information systems curriculum section and co-editor of the IRMA journal of Information Systems Education. This includes reviewing submitted articles and reviewing the IRMA information system/ information technology curriculum model.
Initiatives and New Course Development
Prof. Goldschmidt has taken the leading role in the introduction of the following units:
Accounting Information Systems – undergraduate 1985
Advanced Accounting Information Systems – postgraduate 1988
Decision Support Systems – undergraduate 1998
Marketing Information Systems – undergraduate 1999
Electronic Commerce – undergraduate 2000
Advanced Electronic Commerce – undergraduate 2001
Artificial Intelligence in Business – 2001
Knowledge Management 2002
Management of Informations Systems (2011)
Models for Logistics, Operations and Services (2008)
Business Intelligence (2015)
Undergraduate: Enterprise Systems ;Postgraduate: Business Intelligence INMT5526; Management of Information Systems (including Knowledge Management) INMT5620; Models for Logistics, Operations and Services – INMT5518
Artificial Intelligence Applied to Business
Asset Management Workflow Decisions Support