Analytics-driven asset management

Hampapur, Arun; Cao, H.; Davenport, Andrew; Dong, Weishan; Fenhagen, D.; Feris, Rogério; Goldszmidt, G.; Jiang, Zhe; Kalagnanam, Jayant; Kumar, T. V. Vijay; Li, H.; Liu, X.; Mahatma, Shilpa; Pankanti, Sharathchandra; Pelleg, D.; Sun, Wei; Taylor, Martin Hedley; Tian, Chunhua; Wasserkrug, Segev; Xie, Lexing; Lodhi, Muhammad Kamran; Kiely, C.; Butturff, K.; Desjardins, L.

doi:10.1147/jrd.2010.2092173

Cited by 13 publications

(7 citation statements)

References 22 publications

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“…These approaches start to be introduced in military organizations. Analysis of patterns adds to organizations' abilityacross units active in the same theater (Leblanc 2008)to report on, predict, respond, and adjust resources-logistics processes, for example, equipment wear and tear (Hampapur et al 2011;Leblanc 2008;Maas et al 2014). Coordination of resource decisions with resources-logistics planning beyond a mission can underpin higher overall performance levels.…”

Section: Process 2: Conceptingmentioning

confidence: 99%

Foundational Concepts of Military Logistics

Fenema¹,

Kampen²

2021

Handbook of Military Sciences

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Military logistics can be seen as a set of processes that supports military organizations in their development into a capable and functional sustaining military force. Thus, the objective of this chapter is to bring to the forefront and elaborate on some of the foundational premises of military logistics as it is portrayed in its body of literature. To guide this presentation, a generic model is presented which relates logistics’ process and structure sides to its generic and mission specific sides. After these generic foundations, two deep dive themes are explored: strategic alignment of resources and logistics management and strategic defense supply chain security management. Recent historic cases illustrate the two themes. The chapter concludes with new ideas on military logistics innovation and draws attention to innovation and performance challenges in the context of military organizations cooperation.

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Section: Process 2: Conceptingmentioning

confidence: 99%

Foundational Concepts of Military Logistics

Fenema¹,

Kampen²

2021

Handbook of Military Sciences

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“…Some articles that cite citations in the Water and Utility Infrastructure Path often indicate the issue that asset management tools appear unfit for the practices of water infrastructure agencies, with agencies feeling that tools are too sophisticated for practical use (Alegre, 2010;Frenette, Bernard, Putallaz, & Gérard, 2010) or too expensive for their size (Osman, Atef, & Moselhi, 2012). In reality, asset management decision-making still extensively relies on organisational knowledge held by an agency and anecdotal insights into past failures (Hampapur et al, 2011). Finally, a set of articles, actively that cite in the Life Cycle Decision Making and Organization Path, notes that decision models in this area require simplification for practical use in agencies (De La Garza, Akyildiz, Bish, & Krueger, 2011;Sathaye & Madanat, 2011;Yehia, Abdelfatah, & Abu Dabous, 2012).…”

Section: Research Orientations Among Retrieved Articlesmentioning

confidence: 99%

Research orientations towards the ‘management’ of infrastructure assets: an intellectual structure approach

Schraven

Hartmann

Dewulf

2013

Structure and Infrastructure Engineering

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In recent decades, research on the management of infrastructure assets has increased steadily. However, there are concerns raised about the contribution of studies to a coherent body of knowledge. There is a call for a more structured understanding of the knowledge that is emerging around the management of infrastructure assets. This paper attempts to answer this call through an empirical study based on the reference lists of over 8200 articles that present their study relevant to the management of infrastructure assets. In so doing, we apply recognised techniques from bibliometric and social network analyses to visualise and identify major and minor topics, where researchers have oriented and contributed. We find that managing infrastructure assets traditionally was object-oriented, such as pavements, bridges, water and utility networks, and that attention is only now emerging on the life-cycle decision-making and organisational aspects, although the latter remains weakly linked with technical aspects. We conclude with shared research orientations in 'managing' infrastructure assets.

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“…This paper describes the application of water usage predictive analytics in smart meter management to deliver business value. The implementation of these analytics using software products has been integrated to an end-to-end software solution for analytics-driven asset management (ADAM) [4]. This paper will be organized as follows.…”

Section: B Automated Meter Reading (Amr)mentioning

confidence: 99%

Usage analysis for smart meter management

Fang

Mahatma

et al. 2011

2011 8th International Conference &Amp; Expo on Emerging Technologies for a Smarter World

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Smart meters gather utility usage data, such as water, electricity and gas readings, by remote reporting. The flood of usage data obtained from each meter in realtime or near real-time enable data analytics and optimization tool to support smart meter management. Predictive usage analytics can provide significant benefits to both the utilities and customers. We propose statistical approaches for meter anomaly detection, usage demand forecasting and association analysis for utility companies. These analyses provide efficient ways to detect malfunctioning meters, optimize water supply in the future and understand the association factors that drive meter failures and water demand. We illustrate our methodology using the automated meter reading (AMR) database from a water utility customer.

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Analytics-driven asset management

Cited by 13 publications

References 22 publications

Foundational Concepts of Military Logistics

Foundational Concepts of Military Logistics

Research orientations towards the ‘management’ of infrastructure assets: an intellectual structure approach

Usage analysis for smart meter management

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