Information Systems for Engineering and Infrastructure Asset Management

Haider, Abrar

doi:10.1007/978-3-8349-4234-0

Cited by 15 publications

(13 citation statements)

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“…Figure depicts the management cycle of a physical asset over its useful lifetime. From a timescale viewpoint, asset management principles can be divided into three categories of short‐term (operations management), mid‐term (maintenance management), and long‐term strategies …”

Section: Asset Management and Reliability‐centered Maintenance Princimentioning

confidence: 99%

A mathematical framework for reliability-centered maintenance in microgrids

Moradi

Vahidinasab

Kia

et al. 2018

Int Trans Electr Energ Syst

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Summary In this paper, the central principles of reliability‐centered maintenance (RCM) and corresponding mathematical concepts for its implementation in microgrids are discussed. A systematic framework is suggested that exploits the fundamentals of multiattribute decision making to (i) evaluate the important features and failure attributes and (ii) effectively identify the microgrid critical components with their failure rates dynamically assessed at various time intervals. Lagrange multipliers of a budget‐constrained optimization formulation are suggested to be used to determine the desired values of system reliability indicators. The failure rates of critical components are efficiently determined over time through an exponential model that is empirically obtained via extracted condition scores of critical failure causes at multiple inspection times. A time‐varying benefit‐to‐cost ratio mechanism is designed via which the useful lifetime of critical components and the system economic benefits increase through timely maintenance in microgrids where an improved reliability performance can be realized. Finally, the proposed model is implemented in a real‐world scenario on a microgrid that is a part of the Tehran power distribution network. Extensive numerical results demonstrate the applicability and effectiveness of the suggested RCM model in microgrids.

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Section: Asset Management and Reliability‐centered Maintenance Princimentioning

confidence: 99%

A mathematical framework for reliability-centered maintenance in microgrids

Moradi

Vahidinasab

Kia

et al. 2018

Int Trans Electr Energ Syst

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“…In theory, information systems in asset management have three major roles; firstly, information systems are utilized in collection, storage, and analysis of informationspanning asset lifecycle processes; secondly, information systems provide decision support capabilities through the analytic conclusions arrived at from analysis of data; and thirdly, information systems enable an integrated view of asset management through processing and communication of information and thereby allowing for the basis of asset management functional integration [2]. Information systems for asset management seek to enhance the outputs of asset management processes through a bottom-up approach.…”

Section: Asset Management Information Systemsmentioning

confidence: 99%

“…These dimensions Fig. 27.2 Data governance model for asset management adopted and modified from [2] could then be measured on the four dimensions described under 'organizational competence.' Similar measurements for all the processes under the same perspective in Fig.…”

Section: Data Governance For Asset Managementmentioning

confidence: 99%

“…This is mainly due to the continuously changing and increasing complexity of asset equipment, and the stochastic nature or the unpredictability of the environment in which assets operate, along with the difficulty to quantify the output of the maintenance process itself. Current information systems employed for condition monitoring identify a failure condition when the asset is near breakdown and therefore serve as tools of failure reporting better than instruments for pre-warning the failure condition in its development [2]. On the other hand, owing to increased competitive pressures, maintenance strategies that once were run-to-failure are fast changing to being condition based, thereby necessitating integration of asset lifecycle data.…”

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confidence: 98%

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Asset Lifecycle Data Governance Framework

Haider

2014

Lecture Notes in Mechanical Engineering

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Engineering asset lifecycle management is information intensive. The variety of asset lifecycle processes generate, process, and analyze enormous amount of data on daily basis. Information systems utilized for asset management not only have to provide for the control of lifecycle management tasks, but also have to act as instruments for decision support. Asset lifecycle management can be viewed as a combination of decisions associated with strategic, planning, and operational levels of the organization. Information systems in asset management, in theory, thus facilitate data-enabled view of asset management. However, realization of such a view of asset lifecycle through information systems requires appropriate hardware and software applications; quality, standardized, and interoperable data; appropriate skill set of employees to process data; and the strategic fit between the asset lifecycle management processes data requirements and the information systems. This paper sketches out a framework for asset lifecycle management data governance, which highlights the rights and accountabilities related to asset data lifecycle management. The framework describes how common business data and metrics should be defined, propagated, owned, and enforced throughout the organization, thereby allowing for better quality and faster decision-making, business intelligence reporting, cost reductions, compliance, and better controls of business processes.

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“…Asset: According to Haider [15] an asset is a component with economic life greater than 12 months that creates and maintains its value by providing services to users. In SkillPro the focus lies on production resources that are regarded as standalone assets (e.g.…”

Section: Modelling Skills In Manufacturing Systemsmentioning

confidence: 99%

Modelling and orchestration of service-based manufacturing systems via skills

Pfrommer

Štogl

Aleksandrov

et al. 2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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Shortening product lifecycles and small lot sizes require manufacturing systems to adapt increasingly fast. Many existing machine tools, handling and logistics systems are already generic and not bound to a specific product a-priori. Yet this flexibility and reconfigurability on the asset level is lost in automated systems that are limited to executing a small set of predefined actions in a fixed sequence. The SkillPro1 project aims to develop a holistic service-oriented framework for modeling and orchestration of modern adaptable manufacturing systems. The core concept is a unified abstraction for manufacturing tasks: skills provided by the available assets and the requirements of the different production steps. The skill-based system model enables the transition from generic high-level descriptions to lowlevel formats that can be directly executed. Self-describing assets can be added, changed and removed at runtime, taking into account technical and economic conditions to best achieve the manufacturing goals

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Information Systems for Engineering and Infrastructure Asset Management

Cited by 15 publications

References 0 publications

A mathematical framework for reliability-centered maintenance in microgrids

A mathematical framework for reliability-centered maintenance in microgrids

Asset Lifecycle Data Governance Framework

Modelling and orchestration of service-based manufacturing systems via skills

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