scholarly journals Optimization in Decision Making in Infrastructure Asset Management: A Review

2019 ◽  
Vol 9 (7) ◽  
pp. 1380 ◽  
Author(s):  
Lin Chen ◽  
Qiang Bai
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Optimization Methods ◽  
Future Research ◽  
Application Process ◽  
Management Decisions ◽  
Comprehensive Knowledge ◽  
Wide Range ◽  
Selection Of ◽  
Infrastructure Asset Management

Infrastructure assets, serving everyone’s daily life, are an essential foundation of any society. Their management faces a wide range of challenges. Hence optimization methods are increasingly applied to assist making management decisions in infrastructure asset management (IAM). A large number of articles apply a broad range of optimization methods in their decision making (DM) and achieve great results. However, they mainly focus on individual methods and a comprehensive knowledge, given the broad range of optimization methods, is hardly discussed. Hence it is valuable to analyze and graphically present the existing knowledge on this subject. This paper, based on a total of 337 articles, provides an overall review of the applications of optimization when making management decisions in IAM, with the intension of enhancing the optimization application and method selection and guiding the future research in this field. More specifically, this paper introduces the application process of optimization when assisting DM in IAM, summarizes the previous application research, and discusses the popular optimization methods applied in DM in IAM. According to the literature review, this paper confirms optimization can effectively assist DM in IAM and a wide range of optimization methods are applicable to assist a variety of DM problems. The recommendations on the applications and selection of optimization methods in the context of IAM are also made to facilitate the applications.

scholarly journals A survey of methods for evaluating mini-publics

2021 ◽  
Author(s):  
Takeuchi Ayano
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Future Research ◽  
The Political ◽  
Decision Making Process ◽  
Sufficient Information ◽  
Practical Case ◽  
Political Decision ◽  
Wide Range ◽  
Political Decision Making

AbstractPublic participation has become increasingly necessary to connect a wide range of knowledge and various values to agenda setting, decision-making and policymaking. In this context, deliberative democratic concepts, especially “mini-publics,” are gaining attention. Generally, mini-publics are conducted with randomly selected lay citizens who provide sufficient information to deliberate on issues and form final recommendations. Evaluations are conducted by practitioner researchers and independent researchers, but the results are not standardized. In this study, a systematic review of existing research regarding practices and outcomes of mini-publics was conducted. To analyze 29 papers, the evaluation methodologies were divided into 4 categories of a matrix between the evaluator and evaluated data. The evaluated cases mainly focused on the following two points: (1) how to maintain deliberation quality, and (2) the feasibility of mini-publics. To create a new path to the political decision-making process through mini-publics, it must be demonstrated that mini-publics can contribute to the decision-making process and good-quality deliberations are of concern to policy-makers and experts. Mini-publics are feasible if they can contribute to the political decision-making process and practitioners can evaluate and understand the advantages of mini-publics for each case. For future research, it is important to combine practical case studies and academic research, because few studies have been evaluated by independent researchers.

scholarly journals A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings

2021 ◽  
Vol 13 (2) ◽  
pp. 737
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Dalia Streimikiene ◽  
Tomas Balezentis ◽  
Virgilijus Skulskis
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Energy Demand ◽  
Energy Performance ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Insulation Materials ◽  
Advantages And Disadvantages ◽  
Selection Of

The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency. The choice of appropriate thermal insulation materials is one of the simplest and, at the same time, the most popular strategies that effectively reduce the energy demand of buildings. Today, the spectrum of insulation materials is quite wide, and each material has its own specific characteristics. It is recognized that the selection of materials is one of the most challenging and difficult steps of a building project. This paper aims to give an in-depth view of existing multi-criteria decision-making (MCDM) applications for the selection of insulation materials and to provide major insights in order to simplify the process of methods and criteria selection for future research. A systematic literature review is performed based on the Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In order to determine which MCDM method is the most appropriate for different questions, the main advantages and disadvantages of different methods are provided.

scholarly journals Internet of Things in Asset Management

2018 ◽  
Vol 9 (2) ◽  
pp. 104-119 ◽  
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.

scholarly journals Building information modelling to support maintenance management of healthcare built assets

Facilities ◽  
2019 ◽  
Vol 37 (7/8) ◽  
pp. 415-434 ◽  
Author(s):  
Nadeeshani Wanigarathna ◽  
Keith Jones ◽  
Adrian Bell ◽  
Georgios Kapogiannis
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Conceptual Framework ◽  
Asset Management ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Wide Range ◽  
Building Information ◽  
Use Phase

Purpose This paper aims to investigate how digital capabilities associated with building information modelling (BIM) can integrate a wide range of information to improve built asset management (BAM) decision-making during the in-use phase of hospital buildings. Design/methodology/approach A comprehensive document analysis and a participatory case study was undertaken with a regional NHS hospital to review the type of information that can be used to better inform BAM decision-making to develop a conceptual framework to improve information use during the health-care BAM process, test how the conceptual framework can be applied within a BAM division of a health-care organisation and develop a cloud-based BIM application. Findings BIM has the potential to facilitate better informed BAM decision-making by integrating a wide range of information related to the physical condition of built assets, resources available for BAM and the built asset’s contribution to health-care provision within an organisation. However, interdepartmental information sharing requires a significant level of time and cost investment and changes to information gathering and storing practices within the whole organisation. Originality/value This research demonstrated that the implementation of BIM during the in-use phase of hospital buildings is different to that in the design and construction phases. At the in-use phase, BIM needs to integrate and communicate information within and between the estates, facilities division and other departments of the organisation. This poses a significant change management task for the organisation’s information management systems. Thus, a strategically driven top-down organisational approach is needed to implement BIM for the in-use phase of hospital buildings.

scholarly journals Unconscious influences on decision making: A critical review

2014 ◽  
Vol 37 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Ben R. Newell ◽  
David R. Shanks
Keyword(s):  
Decision Making ◽  
Social Behavior ◽  
Behavioral Economics ◽  
Cognitive Neuroscience ◽  
Critical Review ◽  
Explanatory Power ◽  
Future Research ◽  
Wide Range ◽  
Cognitive Unconscious

AbstractTo what extent do we know our own minds when making decisions? Variants of this question have preoccupied researchers in a wide range of domains, from mainstream experimental psychology (cognition, perception, social behavior) to cognitive neuroscience and behavioral economics. A pervasive view places a heavy explanatory burden on an intelligent cognitive unconscious, with many theories assigning causally effective roles to unconscious influences. This article presents a novel framework for evaluating these claims and reviews evidence from three major bodies of research in which unconscious factors have been studied: multiple-cue judgment, deliberation without attention, and decisions under uncertainty. Studies of priming (subliminal and primes-to-behavior) and the role of awareness in movement and perception (e.g., timing of willed actions, blindsight) are also given brief consideration. The review highlights that inadequate procedures for assessing awareness, failures to consider artifactual explanations of “landmark” results, and a tendency to uncritically accept conclusions that fit with our intuitions have all contributed to unconscious influences being ascribed inflated and erroneous explanatory power in theories of decision making. The review concludes by recommending that future research should focus on tasks in which participants' attention is diverted away from the experimenter's hypothesis, rather than the highly reflective tasks that are currently often employed.

scholarly journals OPTIMIZATION METHODS OF THE PAVEMENT MANAGEMENT SYSTEM OF BUDAPEST

2019 ◽  
Vol 25 (8) ◽  
pp. 798-804
Author(s):  
Kornel Almassy ◽  
Gábor Pusztai ◽  
László Gáspár ◽  
János Lógó
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Management System ◽  
Road Network ◽  
Optimization Methods ◽  
Pavement Management ◽  
Optimization Process ◽  
Accurate Information ◽  
Multi Criteria Decision Making ◽  
Pavement Management System

A modern Pavement Management System (PMS) should be essential for maintenance a metropolitan urban road network. Municipality of Budapest has developed own management system for their road pavement operation. To an efficient outcome the newest methods are used for the data collecting with the most innovated geo-informatics solutions, which are help us in our multi criteria decision making process. We present a degradation model which useful for the prediction of the roughness, yielding surface condition of the pavement in the future. After the whole data evaluation we give accurate information about the general characterization of the permanent road network conditions. Our paper shows that in all modern asset management system based on multi criteria decision making processes, which contain single or multi objective optimization methods. The PMS based on the available-technical and financial data and its optimization process provides a pavement renovation offer for each road in Budapest transportation network and finally the paper presents how can we ranking the invention list from our optimization process.

scholarly journals Grouping and analysis of chair quality and their basic elements

2009 ◽  
pp. 147-154 ◽  
Author(s):  
Dusan Skakic ◽  
Igor Dzincic
Keyword(s):  
Finite Element Method ◽  
Decision Making ◽  
Finite Element ◽  
Numerical Optimization ◽  
Optimal Solution ◽  
Engineering Practice ◽  
The Finite Element Method ◽  
Wide Range ◽  
Decision Making Processes ◽  
Selection Of

Both the scientific experience and the engineering practice indicate that the decision making processes in the course of solving complex designing problems require an analysis of a great number of different construction variants. These types of decision-making processes are time consuming and do not always result in the selection of an optimal solution. That is why the methods of numerical optimization are applied in a wide range of technical sciences to assist in the selection of the best solution. The first step in solving the problem by using the Finite element method is to determine the type of chair earmarked for modeling, and to determine the dimensions of the chair elements.

Co-offending and Co-offender Selection

2017 ◽  
Author(s):  
Sarah B. van Mastrigt
Keyword(s):  
Decision Making ◽  
Target Selection ◽  
Evidence Base ◽  
Current Theory ◽  
Current Evidence ◽  
Future Research ◽  
Current Evidence Base ◽  
Event Planning ◽  
Implicit And Explicit ◽  
Selection Of

A notable proportion of crime is committed in company, particularly during youth, but relatively little attention has been paid to the influence of co-offenders on criminal decision making. This chapter reviews current theory and research on co-offending as it relates to three aspects of offender decision making: the decision to (co)-offend, the selection of accomplices, and choices shaping the characteristics of the criminal event (planning, target selection, and seriousness). Both implicit and explicit decision making are considered, as well as situations in which the offense is premeditated and collaboration is explicitly sought after a plan has been made and situations in which the motivation to offend develops in a group of preformed individuals who become co-offenders by committing the act. The chapter concludes with a discussion of gaps in the current evidence base and directions for future research.

Exposure, Experience, and Expertise: Why Personal Histories Matter in Economics

2021 ◽  
Author(s):  
Ulrike Malmendier
Keyword(s):  
Decision Making ◽  
Neural Plasticity ◽  
Future Research ◽  
Individual Level ◽  
Neural Connections ◽  
Economic Decision Making ◽  
Wide Range ◽  
Personal Experiences ◽  
Experience Effects ◽  
Past Experiences

Abstract Personal experiences of economic outcomes, from global financial crises to individual-level job losses, can shape individual beliefs, risk attitudes, and choices for years to come. A growing literature on experience effects shows that individuals act as if past outcomes that they experienced were overly likely to occur again, even if they are fully informed about the actual likelihood. This reaction to past experiences is long-lasting though it decays over time as individuals accumulate new experiences. Modern brain science helps understand these processes. Evidence on neural plasticity reveals that personal experiences and learning alter the strength of neural connections and fine-tune the brain structure to those past experiences (“use-dependent brain”). I show that experience effects help understand belief formation and decision-making in a wide range of economic applications, including inflation, home purchases, mortgage choices, and consumption expenditures. I argue that experience-based learning is broadly applicable to economic decision-making and discuss topics for future research in education, health, race, and gender economics.

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