Optimum Decision Making in Asset Management

Chapter 1 introduces the idea of the chain as related to investment management. It highlights the increasing importance and influence of the asset management industry and argues that, despite this fact, the behaviour and decision-making of asset managers has been little studied. The chapter suggests that investment decisions today cannot be understood by focusing on isolated investors. Rather, most of their money flows through a chain: a sequence of intermediaries that ‘sit between’ savers and companies/governments. The chapter introduces the central argument of the book that investment management is shaped profoundly by the opportunities and constraints that this chain creates.

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FRAMEWORK FOR INVESTMENT DECISION-MAKING UNDER RISK AND UNCERTAINTY FOR INFRASTRUCTURE ASSET MANAGEMENT

Research in Transportation Economics ◽

10.1016/s0739-8859(04)08010-2 ◽

2004 ◽

Vol 8 ◽

pp. 199-214 ◽

Cited By ~ 12

Author(s):

N Piyatrapoomi ◽

A Kumar ◽

S Setunge

Keyword(s):

Decision Making ◽

Asset Management ◽

Investment Decision ◽

Risk And Uncertainty ◽

Decision Making Under Risk ◽

Investment Decision Making ◽

Infrastructure Asset Management

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Brisa's model for life cycle performance monitoring and decision- making process

IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management ◽

10.2749/guimaraes.2019.0333 ◽

2019 ◽

Author(s):

Carlos Biscaia de Oliveira

Keyword(s):

Decision Making ◽

Asset Management ◽

Performance Indicators ◽

Performance Monitoring ◽

Decision Support Techniques ◽

Cycle Performance ◽

Decision Making Process ◽

Risk Levels ◽

Asset Portfolio ◽

Asset Monitoring

<p>The asset management model must allow for visibility across the asset portfolio, enabling a more coherent and informed decision-making process. This topic addresses how the need to improve analytic capabilities and decision support techniques leads to the guidelines of Brisa’s Information System Dashboard, covering asset’s availability and condition indexes (Asset Monitoring), risk levels and relevant costs key performance indicators.</p>

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Internet of Things in Asset Management

International Journal of Service Science Management Engineering and Technology ◽

10.4018/ijssmet.2018040105 ◽

2018 ◽

Vol 9 (2) ◽

pp. 104-119 ◽

Cited By ~ 6

Author(s):

Sini-Kaisu Kinnunen ◽

Antti Ylä-Kujala ◽

Salla Marttonen-Arola ◽

Timo Kärri ◽

David Baglee

Keyword(s):

Decision Making ◽

Internet Of Things ◽

Radio Frequency Identification ◽

Asset Management ◽

Spare Parts ◽

Future Research ◽

Frequency Identification ◽

Preliminary Study ◽

Smart Factories ◽

Factories Of The Future

The emerging Internet of Things (IoT) technologies could rationalize data processes from acquisition to decision making if future research is focused on the exact needs of industry. This article contributes to this field by examining and categorizing the applications available through IoT technologies in the management of industrial asset groups. Previous literature and a number of industrial professionals and academic experts are used to identify the feasibility of IoT technologies in asset management. This article describes a preliminary study, which highlights the research potential of specific IoT technologies, for further research related to smart factories of the future. Based on the results of literature review and empirical panels IoT technologies have significant potential to be applied widely in the management of different asset groups. For example, RFID (Radio Frequency Identification) technologies are recognized to be potential in the management of inventories, sensor technologies in the management of machinery, equipment and buildings, and the naming technologies are potential in the management of spare parts.

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