Integrated Asset Management Research Articles

Analisis Pengelolaan Barang Milik Daerah Kota Sibolga

This study aims to analyze the management of regional assets in the City of Sibolga, identify the challenges faced in the management process, and determine the steps that need to be taken to ensure more orderly asset administration. The operationalization of the variables in this study is based on the management of regional assets according to Minister of Finance Decree (KMK) Number 288/KMK.06/2023. Data collected using interviews, observations, and documentation, with key informants including the Head of the Agency, Head of Budgeting Division, Head of Assets Division, and Head of Treasury and Accounting Division. The qualitative data management technique follows the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing and verification. The findings indicate that the management of regional assets in Sibolga City faces various challenges such as inaccurate asset data, lack of supervision and control, suboptimal coordination between OPDs, and insufficient asset security and maintenance. To address these issues, it is recommended that the Sibolga City Government enhance human resource capacity, develop an integrated asset management information system, optimize the budget for asset maintenance and security, and improve supervision and control over the use of fixed assets

Technological innovations and optimized work methods in subsea maintenance and production

Subsea maintenance and production represent critical aspects of offshore operations, vital for sustaining energy production and ensuring operational efficiency. However, these endeavors face numerous challenges, including the complexities of deepwater environments, harsh weather conditions, and the high costs associated with traditional maintenance methods. To address these challenges, this paper explores the integration of technological innovations and optimized work methods in subsea operations. Technological innovations play a pivotal role in revolutionizing subsea maintenance and production. Remote monitoring and control systems enable real-time data collection and decision-making, enhancing operational visibility and efficiency. Autonomous underwater vehicles (AUVs) offer the capability to conduct inspections and repairs in remote and hazardous environments, reducing human intervention and associated risks. Robotics and automation further streamline maintenance tasks, improving accuracy and reducing downtime. Advanced materials and coatings enhance equipment durability and corrosion resistance, prolonging asset lifecycles and reducing maintenance requirements. In parallel, optimized work methods offer strategic approaches to enhance subsea operations' effectiveness. Predictive maintenance strategies leverage data analytics and machine learning to anticipate equipment failures, enabling proactive interventions and minimizing downtime. Condition-based monitoring facilitates real-time assessment of asset health, enabling timely maintenance interventions and cost savings. Integrated asset management systems provide holistic insights into asset performance and facilitate informed decision-making. Lean operations and continuous improvement methodologies further optimize workflows, driving operational excellence and cost efficiency. Through case studies and industry examples, this paper highlights the successful implementation of technological innovations and optimized work methods in subsea maintenance and production. Furthermore, it explores future trends, regulatory considerations, and the importance of industry collaborations in shaping the future of subsea operations. Ultimately, the integration of these approaches offers a pathway towards enhanced operational efficiency, reduced costs, and sustainable subsea operations. Keywords: Technological Innovations, Optimized Work Methods, Subsea Maintenance and Production.

Implementation of Scrum Framework Agile Method to Develop Integrated Asset Management Information System at Universitas Diponegoro Inventory Module

Diponegoro University Property (BMU) requires an inventory process by the assets and logistics division at least once every five years. The inventory process is still manually. So it is necessary to develop an Integrated Asset Management Information System Inventory Module. The development of an information system that used the Big Bang and Use Case Points method, in this study the Agile method with Scrum Framework will be implemented based on considerations. Scrum as a framework that implements Sprints to break down complexity and accommodate priority features that need to be built from an information system, also divides the roles in implementing development into Product Owner, Developer Team and Scrum Master. The results of implementing this method can be a solution to several problems that arise during development, that is : dividing roles with existing teams, accepting all updates and changes originating from user evaluations through mutual agreement, work transparency which can be a reference in assigning the workload of each team members, regular periodic inspections to remind each member of development targets and goals, as well as adapt to implementing conditions, especially in adjusting communication and implementation times. So make information system development time can implemented shorter.

Deliberate stakeholder engagement: a framework of considerations for integrated asset management of water utilities

ABSTRACT The importance of stakeholder engagement in asset management is widely accepted and emphasised. Nonetheless, in asset management practice, stakeholder engagement is still often applied in an unsystematised and ad hoc manner. By proposing a framework of considerations for the deliberate design of stakeholder engagement, this study aims to contribute to the realisation of integrated asset management by offering a means to explicate the often implicit considerations regarding stakeholder engagement. By providing a conceptual exploration, as well as an analysis of three asset management cases in the Netherlands, this article provides building blocks for deliberate stakeholder engagement, guided by consideration of the mission, local context, and available time. Taking the daily reality of asset managers as a reference, this study develops a synthesis between literature on stakeholder engagement and asset management, hereby showing that both material and relational considerations should be made deliberately in all phases of an asset management project.

Urban Drainage: The Challenges and Failure Assessment Using AHP, Addis Ababa, Ethiopia

Urban drainage infrastructures are facing critical challenges due to a lack of integrated asset management, periodic maintenance, improper design, and construction methodologies. The objective of this study is to understand the urban drainage challenges and assess the failure causes and their impacts to recommend possible mitigation measures. Drainage failure causes and impacts are analyzed using the analytical hierarchy process (AHP) qualitative multicriteria decision model after conducting technical group discussions, interviews, and technical field surveys. The assessment was performed by taking representative samples from both cross- and longitudinal drainage infrastructures. The AHP analysis results showed that approximately 35.5% and 28.6% of failure causes are debris and various solid wastes for cross- and longitudinal drainage structures with correlation coefficients of 0.93 and 0.95, respectively. The result showed that design and construction defects are the second major failure causes. The research results showed that urbanization has a direct relationship with major drainage failure causes, resulting from man-made debris and solid waste clogging. On the other hand, drainage failure caused by siltation, drifts, and vegetation is higher in newly developing semi-urban and agricultural areas. The number of barrels in cross-drainage structures also contribute significantly to cross-drainage failure by creating a flow barrier due to the intermediate columns. The drainage failure impact assessment result showed that both cross- and longitudinal drainage failures primarily impact road pavement following transport disruption and traffic accidents, accounting for 38.5%, 18%, and 16%, respectively. Our research recommended that the mitigation measures for drainage failure are proper asset management and maintenance, appropriate construction supervision, and awareness creation, with weights of 36.3%, 15.5%, and 15.3%, respectively. As a drainage problem mitigation measure, the longitudinal drainage analysis results showed that the provision of a combination of cross-fall slopes, gutter slopes, and local depressions at the inlets can contribute to an increase in the trapping efficiency of the drainage system by 50%, which can reduce surface flooding substantially.

The practice of integrated asset management in Ugandan small towns

Abstract Integrated asset management (IAM) has been promoted by international agencies and academics as a promising approach for water utilities in developing countries. These IAM frameworks present logical and linear approaches to managing a utility's infrastructure. In this article, we contrast these frameworks with the everyday practice of asset management in seven small towns in rural Uganda. In rural areas of Uganda, utility managers operating and managing assets need to maneuver between political demands, demands from the Head Office, inadequate resources, and limited capacity. As a result, the practice of asset management necessarily deviates considerably from the logical steps identified in many IAM frameworks. Without diminishing the relevance of the more conceptual IAM frameworks, the article suggests that for IAM to become more impactful for practitioners in rural areas and small towns in developing countries, these contextual factors need to be taken into account.

Integrated asset management of urban water and wastewater systems

AbstractThis paper presents a decision support system for the integrated management of water distribution and wastewater collection networks. The proposed methodology utilizes system dynamics to integrate water mains and sewers with finance and sociopolitical sectors. It enables user rate‐setting and planning of integrated water and wastewater infrastructure operational and capital works over their life‐cycle (50+ years). The integrated asset management model is implemented using data from a large‐sized utility in Southern Ontario, Canada. The result indicates that the integrated framework enables the utility to accelerate funding for capital and operational works due to the integration of the water and wastewater financial resources and improve the integrated levels of service. In practice, the proposed integrated framework empowers and encourages water utilities to manage and plan their assets in an integrated approach to enhance their water and wastewater assets' infrastructure, financial, and sociopolitical performance relative to managing them in isolation.

Risk-Based Multi-Objective Cross-Asset Budget Planning and Allocation Framework for the City of Sugar Land Integrated Asset Management System (IAMS)

An Integrated Asset Management System (IAMS) is a strategic asset management system that combines the assets of different categories into a system to prioritize their maintenance. This paper proposes a risk-based reliability-centric IAMS framework which works on the principle that the risk associated with the failure of an asset is a function of its direct and indirect costs. The direct costs are the costs associated with the replacement of the assets, whereas the indirect costs are the risks that the city faces following the failure. The framework is applied to the asset database of the City of Sugar Land, TX. The results of the model are analyzed in terms of a reduction in the number of assets in a very high-risk category in the risk matrix, the network level expected annual failure rate, and an increase in the network level average reliability.

Development of integrated asset management model for highway facilities based on risk evaluation

Highways are vital infrastructures that play a crucial role in providing social welfare. Highway structures could experience different types of deterioration (e.g. pavement ageing, pavement cracking, potholes, bridge structure deteriorations, and rockfall due to unstable slopes). Minimal attention has been directed towards developing a comprehensive model to effectively reduce the potential hazards for the entire highway network while considering the associated individual and overall risks. An integrated risk management model is used to separately assess each section's risk value and the extent of its impact on the network. An efficient model has been developed to identify the highway sections that its maintenance will effectively reduce the total risk within the highway network. The developed model competence is examined and verified after evaluating a four major highway network in Florida. The results of the highway's analysis were compared for all routes within the network. Also, the developed model's proficiency in optimally reducing the network's overall risk is presented. The proposed model could be utilized as a support-decision tool to decide which highway segments must be maintained to minimize the network's potential risk.

ANALYSIS OF OPTIMIZATION OF DI. YOGYAKARTA REGIONAL PROPERTY ASSETS IN KALIURANG AREA

The importance role of BMD (regional-owned assets) in supporting local governance, make its management becomes one of the indicators of the success of Regional Medium-Term Development Plan (RPJMD) DIY 2017-2022, with indicator: optimalization of local government assets with the enhancement of regional asset management effectivity, through the employment and cooperation with third party. Based upon that matter, strategic stages are required in the implementation of regional property assets management. As strategic step in optimalization and effectivity enhancement efforts in such management, comprehensive study is compulsory towards current utilized BMD or the idle BMD owned by DI. Yogyakarta local government, particularly for strategic BMD. From the analysis of Benefit Cost Ratio, it is indicated that the entire BMD assets, which become the object of the research, spend higher cost than the revenue. It demonstrates the non-optimal employment. From SWOT analysis, it can be identified that the advantage of designated BMD assets is on their utilization for tourism, hence the integrated asset management is required.

Road infrastructure asset management strategy and its impact on the environment

The development of the economic sector is determined by services to the public through reforms that aim to place public satisfaction through the management of road infrastructure assets. Some research on road infrastructure assets still requires a deepening of studies related to the delivery of public services related to asset management systems. The purpose of this study is to find an appropriate road infrastructure asset management strategy through an integrated asset management system and asset management policies that can provide public satisfaction. This comprehensive approach to management strategies ensures that the performance of service provider assets is in line with the expectations of stakeholders including road users. This descriptive qualitative research is based on the perspective of road users as respondents, consisting of vehicle drivers from 50 transportation companies (people or goods) through interviews and observations. The results show aspects of asset performance based on the user’s perspective there are five aspects, namely productivity, efficiency, effectiveness, use of resources and institutions and this performance is integrated in the asset management system related to policies from the management authority through service delivery namely quality and mobility, risk and use and maintenance of resources. The conclusion of this research is that road infrastructure asset services can be improved through the concept of road infrastructure asset management strategies in an integrated management system with five aspects of performance and more directed towards asset management policies related to the provision of road infrastructure asset services.

Integrated asset management: a case study of technical and economic optimization of surface and well facilities

Oil production could be increased by using optimization techniques in each stage of oil production system from field to production unit. However, the maximum profit will be obtained once integrated optimization of surface and subsurface components of the oil production system is implemented. In addition, when using high-tech equipment and facilities, an integrated study of well and surface facilities affects the economic benefits significantly. In this work, one of the Iranian brown fields (mature or declining production fields) was studied to find the best renovation plan with maximum profits. The base scenario was designed with four stages of separation, and the high-pressure gases from the first and the second separator were planned to be sold, while the low-pressure gases from subsequent stages were supposed to be flared. In this paper, two additional scenarios, namely separator optimization and full optimization, were proposed and 12 cases were defined. In the full optimization scenario, low-pressure gases were prevented from being flared. It was observed that by stopping the flaring systems, gas production rate increases as high as 20% and 150 to 200 MW power will be generated in all cases during the next 20 years. Finally, economic evaluation for all of the cases was done and different cases were compared in terms of incremental annual worth and payback period.

Sustainability Assessment of Asset Management Decisions for Wastewater Infrastructure Systems—Implementation of a System Dynamics Model

The goal of this case study is to demonstrate the application and utility of a developed System Dynamics (SD) model to assess the sustainability of strategic decisions for managing the wastewater collection (WWC) pipe network system for a medium-size municipality in Southern Ontario. Two asset management scenarios, suggested by the research-partnered municipality, are adapted based on the acceptable maximum fraction of pipes in the worst condition (ICG5) being equal to (1) 10% of the network-length/year, and (2) the initial 2.8% of network-length/year for the entire life cycle of the asset. The urban densification scenarios are restricted to a 50% urban densification rate. The least maximum rehabilitation rates of 1.41% and 1.85% of network length/year are found necessary to keep the ICG5 pipes fractions below the selected 10% and 2.8% thresholds, respectively. The maximum and minimum user fee-hike rates for WWC and wastewater treatment (WWT) services are adjusted to support the financial self-sustainability aspect. Results from the SD model, as presented over a 100 year simulation period, show that an accelerated rehabilitation strategy will have a lower financial cost with the lowest greenhouse gas (GHG) emissions. This study highlights the implications of integrating asset management of wastewater-collection and -treatment systems. Applying such an integrated SD model will help decision makers to forecast the future trends related to social, economic, and environmental performances of wastewater infrastructure systems, and evaluate the behavior of interrelated and complex WWC and WWT systems to find synergistic cost-saving opportunities while at the same time improve sustainability.

Operational Excellence in the Value Stream of Electricity Distribution

Sustainable success is the ultimate aim of electricity distribution companies. However, it cannot be achieved without an efficient supply chain that rigorously creates value for customers. Operational excellence (OPEX) is a holistic discipline which can help electricity distribution companies to pursue this path by focusing on waste minimisation and improve the service continuity. In the current study, the value stream of electricity distribution and its processes were studied and for the first time, an integrated OPEX framework for this business was developed. This framework is comprised of both technical and organisational aspects such as business intelligence, integrated asset management, and resilient supply chain.

Fit-for-Purpose Infrastructure Asset Management Framework for Water Utilities Facing High Uncertainties

Traditional infrastructure asset management is about maintaining the status quo of service levels in a resource-restricted, sometimes risk-increasing environment. Infrastructure asset management (IAM) is effective in addressing resource-deprived situations and in maximizing the benefits of the utility in these contexts. This makes IAM a very appropriate and useful approach for developing countries. Hence, this paper focuses on developing a fit-for-purpose integrated asset management (IAM) framework that is suitable for situations where there are risks to assets, significant uncertainties, and resource deficits, and where improvements to the current service levels are needed. To be comprehensive in the application in these contexts, there is a need to supplement IAM with a new perspective—critical necessities, next to the risks to the status quo (current levels of service). This gap was evident during application of IAM principles to the drinking water system of Al-Mafraq, Jordan. It was overcome by framing questions on adaptation deficits and future needs that are to be answered together with risk matrix-based prioritization of asset management actions. The fit-for-purpose IAM framework comprising asset management, adaptation deficit, and future needs can ensure the continuity of service levels in emerging cities when supported through expert inputs and stakeholder consultations.

Application of adaptive neuro fuzzy inference system to support power transformer life estimation and asset management decision

Power transformer is a critical asset in electrical transmission and distribution networks that need to be carefully monitored during its entire operational life. Considering the fact that a significant number of worldwide in-service power transformers have approached the end of their expected operational life, utilities have adopted various transformer condition-based maintenance techniques to avoid any potential catastrophic failure to the equipment. The extent of transformer insulation system ageing can be quantified through measuring several diagnostic indicators such as interfacial tension number of the insulating oil which has a strong correlation with the number of transformer operating years. Moisture and furanic compounds generated due to paper insulation degradation are indicators for solid insulation ageing. This paper introduces a new adaptive neuro fuzzy logic model to estimate the life of mineral oil-filled power transformers based on the values of insulating oil interfacial tension number, furan content in oil and the moisture content within the cellulose insulation. Also, an integrated asset management decision model is proposed. Results of the proposed model are validated against practical data collected from utility and industry mineral oil-filled power transformers of different ratings, designs, operating conditions and lifespans.

Implementing an Integrated Production Surveillance and Optimization System

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 187222, “Creating Value by Implementing an Integrated Production Surveillance and Optimization System—An Operator’s Perspective,” by Sathish Sankaran, David Wright, and Huan Gamblin, Anadarko, and Dhilip Kumar, iLink Systems, prepared for the 2017 SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, 8–11 October. The paper has not been peer reviewed. The complete paper describes some of the technical challenges faced in deepwater operations and the methodology adopted for implementing an integrated production surveillance and optimization (IPSO) system to mitigate the risks. The IPSO (deepwater-digital-oilfield) system is designed to be a combination of emerging information and communications technologies, intelligent algorithms, and fit-for-purpose asset-management work flows. The IPSO System The vision of the digital oil field is to foster an environment where work is performed with fit-for-purpose tools and streamlined work flows to measure, model, and control the field by enabling people to make the right decisions at the right time. This is enabled through a seamless decision hierarchy (Fig. 1) that achieves integrated asset management across business processes, the hydrocarbon value chain, and temporal scales. This multiscale optimization is handled by dividing the challenge into subproblems and passing down decisions from each level as targets for lower-level processes, while system outputs are considered as feedback loops to correct actions. A fit-for-purpose digital-oilfield system, IPSO, was developed to optimize base production through real-time surveillance and efficient reservoir management. The system automates routine tasks such as data capture, data manipulation, preliminary analysis, visualization, and data storage. IPSO was primarily designed as a decision-support system, with emphasis on value-driven work flows for producing assets. Experts from several fields are required in order to pull together a successful solution. The business justification of the IPSO system is dependent on the production phase of the field, where different optimization opportunities exist. Across these diverse assets, there is an inherent risk of customizing the architecture, approach, and tools to such an extent that scalability and extensibility are threatened. Such customized solutions slow down the adoption of good features from one project to others. Therefore, a conscious attempt was made from inception to develop IPSO work flows with a common denominator that could be configured for different business needs across a company’s portfolio. The IPSO system was deployed on line more than 2.5 years ago for a single asset and was later extended to all deepwater assets. Over this period of time, a number of multidisciplinary work flows were added on the basis of the foundational principles detailed in the complete paper. The following six key tenets were used as guiding principles in developing IPSO work flows: Business value Effective planning Stakeholder support Involvement of a champion Sustainability Scalability

Addressing Customer Affordability Through Integrated Asset and Financial Management Planning

Addressing Customer Affordability Through Integrated Asset and Financial Management Planning

The future of FM: Integrating asset management planning practices to lead transformation change

In an era where increasing globalisation, continuing budget reductions and rising customer expectations continue to directly influence a shift in how we manage facilities, ‘high performance’ facility professionals need capabilities edge to further validate how the services that our teams provide are vital to organisational business continuity and longevity. Facilities asset management planning (FAMP) offers an innovative new approach towards examining operational planning capability, appropriate levels of customer focus and performance-based data usage. This methodology integrates facilities and business life cycle portfolio management activities to systematically enable the efficient, effective and economic functionality of the facility portfolio so it strategically aligns with enabling the accomplishment of organisational goals.

Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization

The decisions taken in rehabilitation planning for the urban water networks will have a long lasting impact on the functionality and quality of future services provided by urban infrastructure. These decisions can be assisted by different approaches ranging from linear depreciation for estimating the economic value of the network over using a deterioration model to assess the probability of failure or the technical service life to sophisticated multi-criteria decision support systems. Subsequently, the aim of this paper is to compare five available multi-criteria decision-making (MCDM) methods (ELECTRE, AHP, WSM, TOPSIS, and PROMETHEE) for the application in an integrated rehabilitation management scheme for a real world case study and analyze them with respect to their suitability to be used in integrated asset management of water systems. The results of the different methods are not equal. This occurs because the chosen score scales, weights and the resulting distributions of the scores within the criteria do not have the same impact on all the methods. Independently of the method used, the decision maker must be familiar with its strengths but also weaknesses. Therefore, in some cases, it would be rational to use one of the simplest methods. However, to check for consistency and increase the reliability of the results, the application of several methods is encouraged.