Application of Decision Support Models in Asset Management of Sewer Networks: Framework and Case Study

2010 ◽  
Author(s):  
H. D. Tran ◽  
D. Marlow ◽  
R. May
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Decision Support Models ◽  
Sewer Networks

Some Selected Case Study Applications

2016 ◽  
pp. 180-270
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Decision Process ◽  
Support Systems ◽  
Labor Cost ◽  
The Matrix ◽  
Markov Decision ◽  
Decision Support Models ◽  
Minimization Technique

Having examined the modelling principles of underpinning based decision support systems applied to construction in Chapter 6, this chapter will now demonstrate their detail applications in construction practice. Specifically, 7 decision-support systems will be examined. The choices are based on the fact that data for use in the decision support models are available. The decision-support systems considered are the matrix-based used in determining labor cost, sub-chaining method, linear regression, optimization (i.e. minimization) technique, Markov decision process and rule-based systems.

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

Water ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 68 ◽  
Author(s):  
Franz Tscheikner-Gratl ◽  
Patrick Egger ◽  
Wolfgang Rauch ◽  
Manfred Kleidorfer
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Economic Value ◽  
Urban Infrastructure ◽  
Water Systems ◽  
Urban Water ◽  
Management Scheme ◽  
Support Methods

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.

scholarly journals Managing the Performance of Asset Acquisition and Operation with Decision Support Tools

CivilEng ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 10-25
Author(s):  
Susan Lattanzio ◽  
Linda Newnes ◽  
Marcelle McManus ◽  
Derrick Dunkley
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Limited Attention ◽  
Decision Support Tools ◽  
Economic Implications ◽  
Support Tools ◽  
Fit For Purpose ◽  
Research Gap ◽  
Asset Acquisition

Decision support tools (DSTs) are increasingly being used to assist with asset acquisition and management decisions. Whether these tools are “fit for purpose” will have both economic and non-economic implications. Despite this, the on-going governance of DST performance receives only limited attention within both the academic and industry literature. This work addresses that research gap. Within this paper a conceptual process for managing the operational performance of decision support tools is presented. The novelty of the approach is that it aligns with the ISO 5500x:2014 Asset Management Standard, therefore introducing consistency in the governance of DSTs with physical engineered assets. A case study of the UK’s National Grid Electricity Transmission (NGET) is used to inform the approach design. The evaluation demonstrates it to be both logical and useable within the context of NGET and they have expressed an intention to implement the approach within their business. A key finding of the research was that DSTs transcend functions and organisations. This is significant and can lead to a situation whereby performance and criticality are interpreted and measured differently. The introduction of a common approach for managing DST performance works towards improving consistency and creating a shared understanding.

scholarly journals Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6548
Author(s):  
Bartłomiej Kizielewicz ◽  
Jarosław Wątróbski ◽  
Wojciech Sałabun
Keyword(s):  
Decision Support ◽  
Decision Model ◽  
Wind Farm ◽  
Location Problem ◽  
Correlation Coefficients ◽  
Similarity Coefficients ◽  
Practical Usefulness ◽  
Decision Support Models ◽  
Wind Farm Location

The paper undertakes the problem of proper structuring of multi-criteria decision support models. To achieve that, a methodological framework is proposed. The authors’ framework is the basis for the relevance analysis of individual criteria in any considered decision model. The formal foundations of the authors’ approach provide a reference set of Multi-Criteria Decision Analysis (MCDA) methods (TOPSIS, VIKOR, COMET) along with their similarity coefficients (Spearman correlation coefficients and WS coefficient). In the empirical research, a practical MCDA-based wind farm location problem was studied. Reference rankings of the decision variants were obtained, followed by a set of rankings in which particular criteria were excluded. This was the basis for testing the similarity of the obtained solutions sets, as well as for recommendations in terms of both indicating the high significance and the possible elimination of individual criteria in the original model. When carrying out the analyzes, both the positions in the final rankings, as well as the corresponding values of utility functions of the decision variants were studied. As a result of the detailed analysis of the obtained results, recommendations were presented in the field of reference criteria set for the considered decision problem, thus demonstrating the practical usefulness of the authors’ proposed approach. It should be pointed out that the presented study of criteria relevance is an important factor for objectification of the multi-criteria decision support processes.

scholarly journals Managing the Performance of Asset Acquisition and Operation with Decision Support Tools

CivilEng ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 10-25
Author(s):  
Susan Lattanzio ◽  
Linda Newnes ◽  
Marcelle McManus ◽  
Derrick Dunkley
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Limited Attention ◽  
Decision Support Tools ◽  
Economic Implications ◽  
Support Tools ◽  
Fit For Purpose ◽  
Research Gap ◽  
Asset Acquisition

Decision support tools (DSTs) are increasingly being used to assist with asset acquisition and management decisions. Whether these tools are “fit for purpose” will have both economic and non-economic implications. Despite this, the on-going governance of DST performance receives only limited attention within both the academic and industry literature. This work addresses that research gap. Within this paper a conceptual process for managing the operational performance of decision support tools is presented. The novelty of the approach is that it aligns with the ISO 5500x:2014 Asset Management Standard, therefore introducing consistency in the governance of DSTs with physical engineered assets. A case study of the UK’s National Grid Electricity Transmission (NGET) is used to inform the approach design. The evaluation demonstrates it to be both logical and useable within the context of NGET and they have expressed an intention to implement the approach within their business. A key finding of the research was that DSTs transcend functions and organisations. This is significant and can lead to a situation whereby performance and criticality are interpreted and measured differently. The introduction of a common approach for managing DST performance works towards improving consistency and creating a shared understanding.

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