A.T. de Almeida

Multi-attribute risk assessment for risk ranking of natural gas pipelines

Abstract The paper presents a decision model for risk assessment and for risk ranking of sections of natural gas pipelines based on multi-attribute utility theory. Pipeline hazard scenarios are surveyed and the reasons for a risk assessment model based on a multi-attribute approach are presented. Three dimensions of impact and the need to translate decision-makers’ preferences into risk management decisions are highlighted. The model approaches these factors by using a multi-attribute utility function, in order to produce multi-dimensional risk measurements. By using decision analysis concepts, this model quantitatively incorporates the decision-makers preferences and behavior regarding risk within clear and consistent risk measurements. In order to support the prioritizing of critical sections of pipeline in natural gas companies, this multi-attribute model also allows sections of pipeline to be ranked into a risk hierarchy. A numerical application based on a real case study was undertaken so that the effectiveness of the decision model could be verified.

Multidimensional risk evaluation of natural gas pipelines based on a multicriteria decision model using visualization tools and statistical tests for global sensitivity analysis

Multidimensional risk analysis in pipelines has been addressed in the literature in recent years which has led to a greater understanding of risk in the decision context. A risk assessment model based on different perspectives becomes attractive to decision-makers (DMs) who are responsible for the maintenance of pipelines, and can help to prioritize maintenance efforts, and therefore optimize the use of human financial and other resources. As to the transportation of gas by pipeline, efforts at risk analysis must consider the physical and operational characteristics of the product, failure modes and their consequences, based on each accidental scenario considered. Different parameters are collected and/or estimated in order to produce a recommendation for the DM. Therefore, this paper enhances previous suggestions for a multicriteria decision model that evaluates multidimensional risk by using visualization tools and statistical tests as part of global sensitivity analysis. Simulations are made considering patterns which provide the DM with information about the uncertainty of different groups of parameters for the model. Furthermore, the output of the disturbance can be checked based on Kendalls correlation coefficient. Finally an evaluation can be made graphically of the different rankings of sections, thereby making a more assertive recommendation to the DM.

Using multiple criteria decision analysis for supporting decisions of Business Process Management

Many companies are engaged in increasing their productivity and improving the quality of their products and operations. A means to achieve such improvements is to adopt Business Process Management practices. Techniques to analyze, evaluate and improve business processes are deemed Business Process Modeling. Currently, there are several methodologies and techniques for modeling to choose from. The business process modeling method selected for modeling can directly impact on the result of BPM. Therefore, in order to help both academics and practitioners, a model is proposed that will sort business process modeling methods based on the objectives of modeling using the ELECTRE TRI method. This model can serve as a basis for evaluating modeling methods, and thus act as a guide for organizations and serve for a pre-analysis that may support future choice. We use a Product Development process in an automobile company as an example to demonstrate the model.

Location of Back-up Transformers

This paper presents a multicriteria approach for the determining the proper location for a back-up transformer. Criteria such as: public health, local industrialization, the population of the area, and the distance are considered. When these criteria are taken into consideration, the best location is that which generates the least loss in maximizing the total utility, regarding the location of the back-up in a substation, taking into consideration the benefits of the back-up being in this place.

A multicriteria decision model for technology readiness assessment for energy based on PROMETHEE method with surrogate weights

This paper deals with the decision-making context with imprecise information regarding importance of objectives. The PROMETHEE method is integrated with surrogate weights in order to approach this situation. PROMETHEE methods have been applied in many contexts and this paper illustrates its use in the context of Technology Readiness Assessment for Energy. This strategic decision problem involves a situation in which imprecise information is always a challenge.

Assignment of critical path for a building site based on multicriteria approach

The project management involves control through performance measurement. In order to do that, it is necessary to study the project from the point of view of multiple aspects. In the construction sector, there is a lack of suitable methods to assess the activities that must be performed for the fulfillment of a project. This article seeks to evaluate the critical path of a building site using SMARTS, a multicriteria decision aid method. Results show that analysis of the PERT/CPM network only through their perspective of time does not give a comprehensive and global view of other important attributes to be controlled by a project manager. It is necessary a focus on multiple aspects.

Selection and ranking of improvement approaches in construction companies: SMARTS method

There are various ways, related to quality methods, tools and standards, to improve production processes. The aim of this paper is to present a multicriteria decision model for selecting and ranking these alternatives taking into account Quality, Environment and Sustainability, and Safety.

A Multicriteria Decision model for managing business processes

Nowadays companies recognize how important it is to manage their processes so as to increase their productivity and improve the quality of their products and operations. Managers play an important role in this context since they should monitor and improve the processes that are under their responsibility in order to create a competitive advantage for their company. However they do not have the time available to oversee all processes closely. This paper presents a management model based on Multicriteria Decision Aid (MCDA) concepts in order to help managers plan their activities throughout the week in order that they can dedicate themselves to the most critical processes.

Selecting subcontractors in projects using a multicriteria group decision model

Researchers and practitioners have taken an increasing interest in analyzing outsourcing, particularly with regard to selecting contracts. In several situations, there is more than one person who is in charge of decision processes related to outsourcing and the preferences of all those involved must be considered in an appropriate way. Therefore, this paper sets out a model for selecting subcontractors using a multi-criteria group decision aid. An application in the context of construction companies illustrates the use of the model. In order to improve the performance and quality of construction projects, it is essential for contractors to select subcontractor companies in a structured way.