Query: Engineering asset management

title: The 'how' of benefits management for digital technology: From engineering to asset management
abstract: With advances being made in digital technologies, asset owners are requiring at hand over a digital twin of their constructed facility that can be used in real time to support operations and maintenance processes. While there has been considerable focus on 'why' organizations operating in the construction industry need to adopt digital technologies to enable Building Information Modelling, Internet of Things and Industry 4.0 and thus deliver assets more effectively and efficiently, there has been limited attention given to 'how' they can realize their expected benefits and simultaneously generate value. In light of the drive for organizations to engage with digital technology we bring to the fore in this paper the need for them to legitimize a process of benefits management prior to making a financial investment to understand 'how' digital technologies can coalesce to generate business value and improve their competitiveness. As part of a benefits management strategy, a business dependency network (BDN) can enable investment objectives and their resulting benefits to be linked in a structured manner with an organization's capabilities and changes required to ensure they are realized. Relying on empirical findings derived from nine projects that examined the efficiency gains and advantages of using a digital systems information model from an engineering to asset management perspective, we construct a generic BDN to visualize the structure of multiple cause effect relationships that are used to organise the capabilities, changes and benefits that need to be considered prior to adoption. The insights and experiences that have emerged from this research provide a frame of reference for construction organizations and asset owners to navigate the benefits realization and change management process, which can be used to ensure their investments in digital technology can effectively respond to business drivers and generate value.

title: Essential Elements in Providing Engineering Asset Management Related Training and Education Courses
abstract: Engineering Asset Management (EAM) is a prime field in managerial and technical importance to well developed countries and global industry. Proper asset management can make the difference in competitiveness on a global scale. Asset management involves systematic and coordinated activities and practices through which an organization optimally and sustainably manages its assets and asset systems, their associated performance, risks and expenditures over their life cycles for the purpose of achieving its organizational strategic plan. The recent release of the ISO standards on Asset Management, the ISO 55000 2, does attract a number of organizations to offer certificate training programs in physical asset management and a handful of universities to establish EAM based curriculum. As of today, there is no formal regulation to monitor and evaluate the quality of these training programs. The purpose of this forum is to gather expert and general opinions on the development of EAM based training program and the surveillance of quality in offering related training programs to public. The goal is to establish suitable guidelines and code of practice so that any authorized EAM organizations or institutes can use them to grant recognition to these programs for training and education purposes.

title: Lorikeet: A Model Driven Engineering Tool for Blockchain Based Business Process Execution and Asset Management
abstract: Blockchain has attracted broad interest as a distributed ledger technology for building the next generation of applications to address lack of trust issues in business. Business processes that manage assets (e.g. transferring car/grain/land titles) are a promising domain for applying blockchain technology: secure asset management (including tokens and crypto currency) is a major application area of blockchain. Solutions for non fungible assets (like cars and houses, but also supply chain goods) are recurrently addressed case by case and traditionally rely on a centralised trusted authority. This can cause trust issues and introduce inefficiencies or counterparty risks. However, developing blockchain applications is far from easy, and mistakes may not be fixable. Thus, in this paper, we present a model driven engineering (MDE) tool named Lorikeet for the implementation of business processes on blockchain, which can manage assets. Lorikeet can automatically create well tested smart contract code from specifications that are encoded in the business process and data registry models based on the implemented model transformations. We demonstrate the tool with an industrial use case.

title: Engineering Asset Management 2016

title: Safety outcomes for engineering asset management organizations: Old problem with new solutions?
abstract: The issue of safety and longevity of engineering assets is of increasing importance because of their impact when disasters happen. This paper addresses a literature gap by examining the role of workplace relationships in employees' safety behaviour, and builds on the Resilience Engineering (RE) framework by examining some organisational culture factors affecting how employees behave. A Social Exchange framework is used to examine the impact of supervisor employee relationships, employee commitment to safety practices, and the type of maintenance culture upon employeesaEUR(tm) commitment to safety and safety outcomes. Survey data from 284 technical and engineering employees in engineering asset management organisations within Australia were analyzed using Structural Equation Modelling (SEM) Effective employee relationships with management and a proactive maintenance culture were associated with employee commitment to safety culture and safety outcomes. The findings provide empirical support for embedding an effective organisational culture focused on a proactive maintenance approach, along with ensuring employees are committed to safety processes, to ensure safety outcomes and also asset longevity. One study contribution is that good safety outcomes do not develop in a vacuum; instead they are built on effective workplace relationships. Therefore, SET helps to explain the forming of effective safety culture.

title: Intelligent engineering asset management system for power transformer maintenance decision supports under various operating conditions
abstract: An intelligent prognostic system is designed to avoid catastrophic failure of power transformers.A novel approach combines PCA and back propagation ANN for improved maintenance predictions.All common dissolved gases in a transformer's insulating oil are applied as the model inputs.Industrial power transformer data from Taiwan and Australia are used to verify the systems generic applicability. Large sized transformers are an important part of global power systems and industrial infrastructures. An unexpected failure of a power transformer can cause severe production damage and significant loss throughput the power grid. In order to prevent power facilities from malfunctions and breakdowns, the development of real time monitoring and fault prediction tools are of great interests to both researches and practitioners. This research develops an intelligent engineering asset management system for power transformer maintenance. The system performs real time monitoring of key parameters and uses data mining and fault prediction models to detect transformers' potential failure under various operating conditions. Principal component analysis (PCA) and a back propagation artificial neural network (BP ANN) are the algorithms adopted for the prediction model. Historical industrial power transformer data from Taiwan and Australia are used to train and test the failure prediction models and to verify the proposed general methodology as comparative case studies. The PCA algorithm reduces the number of the primary dissolved gasses as the key factor values for BP ANN prediction modeling inputs. The system yields effective predictions when verified using various operating condition data from Australia and Taiwan power companies. The accuracy rates are much higher when compared to the fault prediction results without using PCA. The intelligent system combining PCA and BP ANN algorithms, developed in this research, can be adopted by asset managers in different regions to develop suitable maintenance and repair strategies for transformer failure preventions.

title: Exploring structure and role of engineering asset management system in production organisations
abstract: Little has been done in the literature on the structure of engineering asset management system (EAMS) and its relationship to production and organisational strategy. In this paper, the position of an EAMS within an organisational structure and its strategic role within a production organisation's strategy has been explored. It is argued that the structure and mechanism of EAMS play a key role in directing the production process and linking to the organisational strategy: the absence or inadequacies of asset related activities cause insufficient production performance that negatively impacts on the strategic achievement. Production actions are mapped with reference to the activities of the hypothesised framework to stipulate the structure and role of engineering asset management system in a production organisation. Production organisations can use the developed framework to check the required adequacy of their activities of the EAMS for success.

title: Influence of Human Resources on Implementation of Guidelines for Engineering Asset Management: A Case Study
abstract: With increasing recognition of the multidisciplinary nature of managing assets, many organisations that depend on engineered artifacts like infrastructure, equipment, machinery, and plant are curious to benchmark performance against an international standard like ISO 55000. In this regard, engineering asset management (EAM) performance depends on how well employees execute their duties as they implement policy guidelines for managing such engineered assets. This paper describes a firm level study of the influence of human resources on the implementation of asset management policies. Employees' attitude, cognition and mental preferences are proposed as useful constructs for evaluating human dimensions in engineering asset management (EAM)

title: Importance of workplace relationships and attitudes toward organizational change in engineering asset management organizations
abstract: Effective asset management is an important factor that can affect public well being by reducing accidents and break downs in public utilities. To be effective, asset managers, engineers, and technicians must be open to the continuous change involved in adopting best practice in the industry. The paper examined the impact of workplace relationships (perceived organizational support and leader member exchange) on attitudes toward organizational change, affective commitment, and psychological well being for Australian asset managers, engineers, and technicians working in physical asset management. Social exchange theory provided the theoretical framework, and a self report survey was administered to examine 255 asset managers, asset management engineers, and asset management maintenance employees. The major findings from a structural equation model indicate that perceived organizational support was positively correlated with an employee's attitude toward organizational change, and supervisor subordinate relationships and perceived organizational support were positively correlated with an employee's emotional attachment to the organization. Perceived organizational support, attitude toward organizational change, and affective commitment were positively correlated with employee psychological well being. The implication of the findings is that Australian engineering asset management employees' well being and attitude toward organizational change is influenced more by their relationship with the organization, compared with the relationship with their supervisor. This research provides support for management seeking to enhance employee attitudes toward organizational change and employee outcomes in physical asset management organizations.

title: A framework for the engineering asset management system
abstract: The role of engineering asset management (AM) system as a controlling element within organizations is not well defined or understood. The purpose of this paper is to include the role of AM in the organizational strategy making, an issue that has not received sufficient attention. The focus of the paper is on how such role is maintained by the AM system activities, relationships and mechanisms over the asset related activities of an organization. As an approach, a reference framework is required that allows research of this area. By combining a number of possible views of an organizational management system a comprehensive view can be established. A review of literature was used to establish a framework identifying the AM system as an integrated part of the organization's management system. A framework is established that focuses on planning and controlling asset related activities by involving a set of activities, relationships between these activities and feedback mechanisms. A system functional model is proposed integrating the established framework as part of the control of the enterprise system. The framework and system functional model are established on a theoretical basis and practical experience requiring applicability to be proven by further research. Asset managers in capital intensive organizations can utilize the framework and the system functional model in order to study their AM system, its relationships and to consider how it may be improved. Exploring a holistic and relatively new concept.