Information Systems for Engineering and Infrastructure Asset Management

Transcription

1 Information Systems for Engineering and Infrastructure Asset Management

2 Abrar Haider Information Systems for Engineering and Infrastructure Asset Management Foreword by Professor Andy Koronios RESEARCH

3 Abrar Haider Adelaide, Australia Dissertation University of South Australia, Adelaide, Australia, 2007 ISBN DOI / ISBN (ebook) The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data are available in the Internet at Springer Gabler Gabler Verlag Springer Fachmedien Wiesbaden 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Cover design: KünkelLopka GmbH, Heidelberg Printed on acid-free paper Springer Gabler is a brand of Springer DE. Springer DE is part of Springer Science+Business Media.

4 To my mother Our season of memories was way too short, just a life time!

5 Foreword Contemporary engineering environments demand continuous availability and reliability of critical asset equipment, and engineering infrastructure utilised in manufacturing and community service. It is, therefore, not surprising to see the technological innovations and improvements relating to asset operation. These technological advances have improved the design, operation, and efficiency of these assets, and at the same time are transforming the way their lifecycle is managed. Conventional practices to manage assets are fast being revamped with the novel use of information technologies, and these technologies are expected to enable information driven integrated solutions aimed at preserving integrity of design and value profile of assets to their original or as designed specifications throughout their lifecycle. Industry is currently investing heavily in research activity finding solutions to achieve these objectives, though the existing lack of convergence of engineering and business management information relating to asset lifecycle is proving to be a major stumbling block. Engineering enterprises, therefore, are forced to follow a deterministic strategy to information systems implementation, where managerial emphasis is centred on implementation of technology rather than the causes and effects that shape the use of technology. Consequently asset managers have struggled with the implementation, use, and institutionalisation of information systems in order to translate the vast amount of available data into meaningful management information to optimise control and management of their asset base. This research concludes that business value from information technologies adoption depends upon the organisational intent, interpreted through the strategic choices; and organisational context, shaped by the mutual interaction of various sub organisational institutions. However, owing to a deterministic view of technology, engineering enterprises treat information systems as passive technology constructs, whose behaviour is predicable and are able to provide same level of service regardless of their context of implementation. This text strongly posits that information systems are not objective entities, which could be implemented without considering their interaction with cultural, human, organisational, and technical factors. In fact, use and institutionalisation of these systems evolves over the course of time through continuous interaction of social, technical, and organisational contexts. Information systems implementation should, therefore, aim to improve organisational responsiveness to external and internal challenges by aligning these systems with information needs of the business.

6 viii Foreword This book draws on various theoretical perspectives relating to engineering, information technology, business governance, engineering management, and strategic business management paradigms, and focuses on implementation, use, and institutionalisation of information systems for engineering and infrastructure asset management. It serves as an excellent resource for asset managers to align information systems with strategic asset management information needs; provide integration of asset lifecycle processes to enable an integrated asset lifecycle management paradigm; and performance evaluation, control, and management of information systems based asset management. I am sure this book will introduce the readers to new perspectives on information systems, and the tools presented in this book will assist asset managers in better planning, execution, control, and management of asset lifecycle. Professor Andy Koronios

7 Preface Engineering and infrastructure assets maintain the lifeline of economies. It is, therefore, critical to manage these assets in such a way that they provide same level of service throughout their lifecycle. However, asset lifecycle management is information intensive and utilises a plethora of information systems. The role of these systems in asset management is much more profound and extends well beyond the organizational boundaries and addresses business relationships with external stakeholders to deliver enhanced level of business outcomes. In doing so information systems are required to translate strategic business considerations into action, and are also expected to produce learning and feedback that inform business strategy and aid in strategic reorientation. This, however, can only be attained if information systems infrastructure is aligned with the information requirements of asset lifecycle and facilitate informed decision support that acts as strategic advisory mechanisms supporting business planning and management. This book is motivated by the lack of appropriate theoretical support for the implementation, use, and institutionalisation of information systems for asset management and evaluation mechanisms to measure the contributions that these systems make towards effectively managing the asset lifecycle. This book argues that information systems utilised for asset management are social systems, therefore, their use is socially composed and culturally institutionalised. Implementation and institutionalisation of implement these systems requires understanding the context of their implementation; the processes that influence the utilisation and implementation of these systems; and the organisational, cultural, people, and behavioural aspects influenced by their use. This book, therefore, adopts a multi-perspective context based approach and addresses operational as well as conceptual limitations of information systems implementation for asset lifecycle management. It entails taking stock of existing hard as well as soft organisational factors that enables actionable learning that acts as an advisory mechanism aimed at continuous improvement of information systems infrastructure for planning, execution, and management of asset lifecycle. This approach helps the organisation mature technologically by improving its responsiveness to the internal and external challenges. This book provides in-depth analysis of the information systems utilised for asset lifecycle management by three Australian engineering infrastructure asset managing organisations. Based on the learnings from these studies, this book provides a new cognitive perspective to the knowledge of information systems based asset management. In doing so, it makes three major contributions to lit-

8 x Preface erature and practice of asset management. Firstly, it provides theoretical support for context based information driven information systems implementation and management, which accounts for the role of information systems as strategic enablers as well as strategic translators within the asset managing organisation. It seeks alignment of organisational sub-institutions with strategic asset management considerations through progressive maturity of information systems, so that they evolve with the organisation and mature in response to internal and external challenges posed to the organisation. Secondly, it presents a generative learning oriented information systems based asset management evaluation framework that facilitates continuous improvement of the asset management enabling information systems infrastructure. Thirdly, this research offers a comprehensive set of organisational, technical, and cultural factors that influence institutionalisation of information systems for engineering asset management. The contributions of this research to the field of asset management, equip asset managers with holistic understanding and knowledge of information systems utilisation to effectively plan, control, and manage asset lifecycle. Dr. Abrar Haider

9 Table of Contents 1 Introduction IT and Engineering Asset Managing Organisations Asset Management Defining an Asset Principles of Asset Management Issues with IS based Engineering Asset Management Evaluating Performance of Information Systems Dynamics of Information Systems for Asset Management IT Investments and Productivity Paradox Conceptual Limitations of Evaluating IS based EAM Value Profile Operational Limitations of Evaluating IS based EAM Value Profile Research Background and Research Questions Need for Research Research Scope and Questions Research Methodology Book Structure Asset Management Asset Management Strategic Asset Management Tactical Asset Management Operational Asset Management Asset Lifecycle Strategic Planning Core Asset Management Asset Creation/Acquisition and Supportability Design Reliability Paradigms Asset Operation Asset Maintenance Asset Renewal Asset Disposal/Retirement Asset Lifecycle Performance Assessment Information Flows in Asset Management Asset Lifecycle Learning Management Summary IS for Asset Management Implementation, Issues and Value Profile IS for Engineering Asset Management Scope of Information Systems in Asset Management Seeking an Integrated View of Asset Lifecycle... 57

10 xii Table of Contents 3.2 Barriers to Information Systems Implementation Limited Focus of Information Systems Implementation Lack of Information and Operational Technologies Nexus Technology Push as Opposed to Technology Pull Isolated, Unintegrated and Ad-hoc Technical Solutions Lack of Strategic View of Information Systems Capabilities Lack of Risk Mitigation for IT infrastructure Information Systems Institutionalisation Issues Information Systems Implementation for EAM Defining Information Systems Implementation Perspectives on Information Systems Implementation Technology Determinism Socio-technical Alignment Organisational Imperative Technology Institutionalisation and Isomorphism Alignment of Information Systems with Strategic EAM Information Systems for EAM Alignment Perspective Summary Information Systems Based Asset Management Evaluation Understanding Evaluation Concept of Evaluation The What and Why of Evaluation The How of Evaluation The When and Where of Evaluation The Who of Evaluation Methodologies and Tools Used Using the Results of Evaluation Classical Performance Evaluation Aims and Objectives of Performance Evaluations Financial Models Balanced Scorecard Sink and Tuttle Model Performance Pyramid Performance Prism The Various Types of Information Systems Evaluation Financial Perspective Strategic Perspective Model Based Perspective Information Systems Attributes Perspective Multi-Dimensional Perspective Uniqueness of Information Systems Evaluation Distinct Nature of Information Systems Evaluation Inability to Identify Benefits and Improvements Tangible and Intangible Dimensions of Information Systems

11 Table of Contents xiii 4.5 Performance Evaluation in EAM Learning and Information Systems based EAM Summary Research Methodology Research Paradigms Research Methods in Information Systems Trends in Information Systems Research Interpretivism for Information Systems Based EAM Limitations of Interpretivist Approach Research Approach, Method, and Case Selection Design of Research Process Getting Started Selecting Cases Crafting Instruments and Protocols Entering the Field Data Analysis Shaping Hypotheses Enfolding Literature Reaching Closure Summary Case Studies - Information Systems Based Asset Management Case Organisations and Analysis and Display of Data Water Infrastructure Asset Management Case A Australian Water Industry Asset Management at Company A Information Technologies at Company A Asset Design and Reliability Support Asset Operation Asset Maintenance Operational Efficiency Competitiveness Evaluation Initiatives Road Infrastructure Asset Management Case B Australian Construction Industry Asset Management at Case B Information Technologies at Case B Asset Design and Reliability Support Operational Efficiency Competitiveness Evaluation Initiatives Rail Infrastructure Asset Management Case C Australian Rail Industry Asset Management at Company C

12 xiv Table of Contents Information Technologies at Company C Asset Design and Reliability Support Asset Operation Perspective Asset Maintenance and Lifecycle Support Operational Efficiency Competitiveness Evaluation Initiatives Summary Research Discussion Case Studies Analysis Water Infrastructure Asset Management Case A Road Infrastructure Asset Management Case B Rail Infrastructure Asset Management Case C Common Themes from the Case Studies Aligning Information Systems with Strategic EAM Factors Impacting Institutionalisation of IS Based EAM IS Based EAM Performance Evaluation IS Based EAM Performance Evaluation Framework Summary Conclusion Research Overview Research Contributions Theoretical Contributions Practical Contributions Research Limitations Critique of the Adopted Research Paradigm Research Design Limitations Implications for Further Research References 231 Appendix A - Barriers to IS Implementation in Engineering Organisations 273 Appendix B - Theoretical Perspectives on IS Implementation 279 Appendix C - Performance Evaluation in Engineering Organisations 283 Appendix D - Case Study Protocol 291

13 List of Figures Figure 2-1: Scope of Asset Management Figure 2-2: Asset Strategy Development Process Figure 2-3: Asset Management Cycles Figure 2-4: Steps in Asset Design and Development Figure 2-5: Supportability Analysis Figure 2-6: Asset Management Costs Figure 2-7: Reliability Centred Maintenance Functional Decomposition Figure 2-8: Impacts of Disturbances on Competitiveness Figure 2-9: Financial Impact of Planned and Unplanned Maintenance Figure 2-10: Information and Decision Flow in Asset Management Figure 3-1: Scope of Information Systems for Asset Management Figure 3-2: Information Systems View of Engineering Asset Management Figure 3-3: Autonomic Logistics Structure Joint Strike Fighter Figure 3-4: Causes of Dirty Data in engineering asset management Figure 3-5: Classification of Data Quality Problems Figure 3-6: Asset Management Data and Business Processes Figure 3-7: Information Enabled Integrated View of EAM Figure 3-8: Institutional Isomorphism Mechanisms Figure 3-9: Organisation Fit Framework Figure 3-10: Strategic Alignment Model Figure 3-11: Information Systems Alignment with EAM Figure 4-1: Balanced Scorecard Figure 5-1: Dimensions of an Integrated IS based EAM Evaluation Figure 6-1: Company A s Organisational Structure Figure 6-2: Water Usage in Australia Figure 6-3: Intended Asset Management IS Architecture of Company A Figure 6-4: IS for Asset Design at Case A

14 xvi List of Figures Figure 6-5: IS for Asset Operation Support at Case A Figure 6-6: IS for Asset Maintenance and Support at Case A Figure 6-7: IS for Asset Management Operational Efficiency at Case A Figure 6-8: IS for Competitiveness of Asset Management at Case A Figure 6-9: Optus incite Modules Figure 6-10: Optus incite Document Management Module Figure 6-11: Optus incite Tender Management Module Figure 6-12: Optus incite Purchasing Management Module Figure 6-13: IS for Asset Design at Case B Figure 6-14: IS for EAM Operational Efficiency at Case B Figure 6-15: IS for Competitiveness of Asset Management at Case B Figure 6-16: Company C s Organisational Structure Figure 6-17: IS for Asset Design at Case C Figure 6-18: IS for Asset Operation Support at Case C Figure 6-19: IS for Asset Lifecycle Maintenance and Support at Case C Figure 6-20: IS for EAM Operational Efficiency at Case C Figure 6-21: IS for Competitiveness of Asset Management at Case C Figure 7-1: Asset Capacity and Demand Management Figure 7-2: Health Assessments and Disturbance Management Figure 7-3: Operational Risk Management Figure 7-4: Asset Operation Quality Management Figure 7-5: Competencies Development and Management Figure 7-6: Organisational Responsiveness Figure 7-7: Information Systems Based EAM Evaluation Framework

15 List of Tables Table 2-1: Asset Management Lifecycle Management Framework Table 2-2: Supportability Analysis Table 2-3: Maintenance an Investment or Cost? Table 2-4: Reliability Paradigms Table 3-1: IT and OT Profiles Table 3-2: Perceptions on Technology Implementation Table 4-1: Sink and Tuttle s Evaluation Categories and their Description Table 4-2: Financial Approaches to Information Systems Evaluation Table 4-3: Strategic Approaches to Information Systems Evaluation Table 4-4: Model Based Approaches to Information Systems Evaluation Table 4-5: Attributes Based Approaches to Information Systems Evaluation Table 4-6: Multi-Dimensional Approaches to IS Evaluation Table 5-1: Process of Building Theory from Case Studies Table 5-2: Multiple Data Collection Instruments Table 5-3: Scale of Information Systems Performance Table 6-1: Condition of Water Infrastructure Assets in Australia Table 6-2: Condition of Rail Infrastructure Assets in Australia Table 6-3: Condition of Rail Infrastructure Assets in Australia

16 List of Acronyms and Abbreviations ABC - Activity Based Costing ARMS - Asset Register and Management System BOOT - Build Operate Own and Transfer CBA - Cost Benefit Analysis CE - Control Engineering CMMS - Computerized Maintenance Management Systems COAG - Council of Australian Governments EAM - Engineering Asset Management ERP - Enterprise Resource Planning FMECA - Failure Mode, Effects, and Criticality Analysis FTA - Fault-Tree Analysis HAZOP - Hazard Operability Analysis IRR - Internal Rate of Return IS - Information Systems IT - Information Technology JIT - Just in Time LCCA - Life Cycle Costing Analysis LORA - Level of Repair Analysis MRO - Maintenance, Repair, and Operations MTA - Maintenance Task Analysis NPV - Net Present Value NUDIST - Non-Numerical, Unstructured Data Indexing, Searching and Theorizing OH&S - Occupational Health and Safety RA - Reliability Analysis RCM - Reliability Centred Maintenance RE - Reliability Engineering ROI - Return on Investment RTA - Roads and Traffic Authority SCADA - Supervisory Control and Data Acquisition TPM - Total Productive Maintenance