Multi Criteria Decision Making Enhancing Sustainable Energy Management

2015 ◽  
Vol 805 ◽  
pp. 32-37
Author(s):  
Johannes Boehner
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Energy Efficiency ◽  
Energy Management ◽  
Expert Knowledge ◽  
Energy Costs ◽  
Multi Criteria Decision Making ◽  
Manufacturing Costs ◽  
Discrete Manufacturing ◽  
Energy Optimisation

Establishing energy management in manufacturing major challenge means to increase the energy efficiency of machinery in existing and future processes leading to both, a reduction of energy costs as well as to a reduction of the manufacturing-process-related environmental impacts. Therefore we developed a procedure to prioritize existing machinery for detailed machine examination in order to create a sustainable approach for machine operating companies to prioritise its assets for energy optimisation projects. By using fuzzy logic as method of artificial intelligence nominal and utilisation machinery data as well as inhouse expert knowledge is considered to enhance multi criteria decision making both. Applying this methodology in a series of industrial case studies in discrete manufacturing costs savings of up to 40 percent were realised.

scholarly journals Strategy Context of Decision Making for Improved Energy Efficiency in Industrial Energy Systems

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1540 ◽  
Author(s):  
Alexander Melnik ◽  
Kirill Ermolaev
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Energy Saving ◽  
Energy Management ◽  
Strategic Decision ◽  
Efficiency Improvement ◽  
Conceptual Approach ◽  
Industrial Companies ◽  
Energy Efficiency Improvement ◽  
The Impact

Energy efficiency improvement in industrial companies is an essential prerequisite for the enhancement of their competitive positions in the national and global markets. Yet, the approaches currently employed in respect of the energy management do not fully utilize the innovative potential of energy technologies to achieve strategic goals. One way to further develop energy management is theoretical justification of the use of new approaches based on the suggested concept of the energy saving and energy efficiency processes’ positioning in the system of a company’s management priorities. In this article, we consider the applied use of the developed conceptual approach from the perspective of the energy saving and energy efficiency program development at the company. The main purpose of this paper is to justify the relations between energy management and strategic decision making in industrial companies. The results of the research conducted, firstly, make a certain contribution into the research of strategic multiple benefits of energy efficiency in a company; secondly, they expand understanding of the impact of energy saving and energy efficiency improvement on the achievement of operational, tactical and strategic results of the company’s activities; thirdly, they provide methodological decision support for the development of energy saving and energy efficiency programs taking into account the management and organizational barriers.

A MODEL BASED ON INFLUENCE DIAGRAMS FOR MULTI-CRITERIA DECISION-MAKING

2012 ◽  
Vol 21 (04) ◽  
pp. 1250018 ◽  
Author(s):  
KARIMA SEDKI ◽  
VÉRONIQUE DELCROIX
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Decision Problem ◽  
Expert Knowledge ◽  
External Factors ◽  
Influence Diagrams ◽  
Multi Criteria Decision Making ◽  
Model Based ◽  
Decision Variables ◽  
Other Information

In this paper, we focus on multi-criteria decision-making problems. We propose a model based on influence diagrams; this model is able to handle uncertainty, represent interdependencies among the different decision variables and facilitate communication between the decision-maker and the analyst. The particular structure of the proposed model makes it possible to take into account the alternatives described by an attribute set, the decision-maker's characteristics and preferences, and other information (e.g., internal or external factors) that influence the decision. Modeling the decision problem in terms of influence diagrams requires a lot of work to gather expert knowledge. However, once the model is built, it can be easily and efficiently used for different instances of the decision problem. In fact, using our model simply requires entering some basic information, such as the values of internal or external factors and the decision-maker's characteristics. Our model also defines the importance of each criterion in terms of what is known about the decision maker, the quality index and the utility of each alternative.

A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015

2017 ◽  
Vol 71 ◽  
pp. 216-256 ◽  
Author(s):  
Abbas Mardani ◽  
Edmundas Kazimieras Zavadskas ◽  
Zainab Khalifah ◽  
Norhayati Zakuan ◽  
Ahmad Jusoh ◽  
...  
Keyword(s):  
Decision Making ◽  
Energy Management ◽  
Multi Criteria Decision Making ◽  
Management Problems

A fuzzy-logic tool for multi-criteria decision making in fisheries: the case of the South African pelagic fishery

2007 ◽  
Vol 58 (11) ◽  
pp. 1056 ◽  
Author(s):  
B. Paterson ◽  
A. Jarre ◽  
C. L. Moloney ◽  
T. P. Fairweather ◽  
C. D. van der Lingen ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
South African ◽  
Expert Opinion ◽  
Expert Knowledge ◽  
System Structure ◽  
Prototype Model ◽  
Multi Criteria Decision Making ◽  
The South ◽  
Support Tool

The present study presents an electronic decision-support tool that uses a fuzzy-logic model of expert knowledge to assist in multi-criteria decision-making in the context of an Ecosystem Approach to Fisheries (EAF). The prototype model integrates the multiple goals and objectives related to the evaluation of the ecosystem performance of the South African sardine Sardinops sagax fishery into a NetWeaver knowledge base and provides intuitive visual outputs to communicate results to managers and stakeholders. The software tool was developed in a consultative process with key experts and follows the hierarchical tree approach recommended in the FAO guidelines for responsible fisheries. Input variables are based both on quantitative data and expert opinion. We evaluated the model in terms of robustness to input changes, influence of system structure, and appropriateness of input scales for parameters based on expert opinion. Results show that the model is robust and conservative. The strength of the approach lies in the ability to include variables that are difficult to measure. It provides a means of rendering value judgements explicit and transparent. The tool synthesises a large amount of information and aims at improving understanding rather than achieving precision. The system has the potential to have wide application in the context of EAF.

scholarly journals Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model

2019 ◽  
Vol 31 (1) ◽  
pp. 89-100 ◽  
Author(s):  
Mladen Dragan Krstić ◽  
Snežana Radoman Tadić ◽  
Nikolina Brnjac ◽  
Slobodan Zečević
Keyword(s):  
Decision Making ◽  
Basic Element ◽  
Energy Costs ◽  
Multi Criteria Decision Making ◽  
Intermodal Transport ◽  
Time Savings ◽  
Decision Making Model ◽  
The Given ◽  
Selection Of

Intermodal transport enables energy, costs and time savings, improves the service quality and supports sustainable development. The basic element of the intermodal transport system is an intermodal terminal, whose efficiency largely depends on the subsystems’ technologies. Accordingly, the topic of this paper is the evaluation and the selection of the appropriate handling equipment within the intermodal terminal. As the decision-making on the handling equipment is influenced by different economic, technical, technological and other criteria, the appropriate multi-criteria decision-making (MCDM) methods have to be applied in order to solve the problem. In this paper, a novel hybrid model which combines the fuzzy step-wise weight assessment ratio analysis (FSWARA) and the fuzzy best-worst method (FBWM) is developed. The defined model is applied for solving the case study of selecting adequate handling equipment for the planned intermodal terminal in Belgrade. The reach stacker is selected as the most adequate handling equipment since it suits best the characteristics of the planned terminal in the given conditions and in relation to the defined criteria. Solving the case study demonstrated the justification for using the MCDM methods to solve these kinds of problems as well as the applicability of the proposed MCDM model.

scholarly journals Multi-Criteria Decision-Making Method for Sustainable Energy-Saving Retrofit Façade Solutions

2021 ◽  
Vol 13 (23) ◽  
pp. 13168
Author(s):  
Ziortza Egiluz ◽  
Jesús Cuadrado ◽  
Andoni Kortazar ◽  
Ignacio Marcos
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Savings ◽  
Multi Criteria Decision Making ◽  
Effective Energy ◽  
Economic Basis ◽  
Selection Of

The increasing energy consumption levels of buildings within Europe call for controlled consumption and improvements to energy savings and efficiency and effective energy efficiency regulations. However, many aging and energy-inefficient buildings require energetic retrofitting that can employ various façades solutions and insulation materials. The selection of the most sustainable options in each situation therefore requires a decision-making methodology that can be used to prioritize available retrofit solutions based on economic, functional, environmental and social criteria. In this paper, both the methodology and the economic basis of the retrofitting process are presented. The methodology was validated in a case study, and a sensitivity analysis also demonstrated its validity, robustness and stability

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