Multiple criteria decision making techniques applied to electricity distribution system planning

The paper presents the methodological background of Multiple Criteria Decision Making/Aiding (MCDM/A) and its practical application in logistics systems. It explains why MCDM/A methodology is important while dealing with different categories of decision problems that arise in those systems. Major features and basic notions of MCDM/A methodology are presented. Different categories of MCDM/A methods are characterized and classified. Two case studies demonstrate possible applications of MCDM/A methodology in logistics. In the first case study multiple objective optimization of the distribution system is carried out and compared with the single objective optimization. The decision problem is formulated as multiple criteria mathematical programming problem and solved by an extended version of MS Excel Solver – Premium Solver Plus. The second case study focuses on the multiple criteria evaluation and ranking of the logistics infrastructure objects, i.e. a set of warehouses – distribution centers. The decision problem is formulated as a multiple criteria ranking problem and solved with an application of ELECTRE III/IV method.

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Artificial Intelligence in Stochastic Multiple-Criteria Decision Making

Natural Language Processing ◽

10.4018/978-1-7998-0951-7.ch046 ◽

2020 ◽

pp. 957-982

Author(s):

Hanna Sawicka

Keyword(s):

Decision Making ◽

Probability Theory ◽

Distribution System ◽

Multiple Criteria Decision Making ◽

Pharmaceutical Products ◽

Multiple Criteria ◽

Distribution Centers ◽

Promethee Ii ◽

The Core ◽

Mcdm Method

This chapter presents the concept of stochastic multiple criteria decision making (MCDM) method to solve complex ranking decision problems. This approach is composed of three main areas of research, i.e. classical MCDM, probability theory and classification method. The most important steps of the idea are characterized and specific features of the applied methods are briefly presented. The application of Electre III combined with probability theory, and Promethee II combined with Bayes classifier are described in details. Two case studies of stochastic multiple criteria decision making are presented. The first one shows the distribution system of electrotechnical products, composed of 24 distribution centers (DC), while the core business of the second one is the production and warehousing of pharmaceutical products. Based on the application of presented stochastic MCDM method, different ways of improvements of these complex systems are proposed and the final i.e. the best paths of changes are recommended.

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Artificial Intelligence in Stochastic Multiple Criteria Decision Making

Advances in Business Information Systems and Analytics - Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence ◽

10.4018/978-1-5225-2031-3.ch019 ◽

2017 ◽

pp. 315-340

Author(s):

Hanna Sawicka

Keyword(s):

Decision Making ◽

Probability Theory ◽

Distribution System ◽

Multiple Criteria Decision Making ◽

Pharmaceutical Products ◽

Multiple Criteria ◽

Distribution Centers ◽

Promethee Ii ◽

The Core ◽

Mcdm Method

This chapter presents the concept of stochastic multiple criteria decision making (MCDM) method to solve complex ranking decision problems. This approach is composed of three main areas of research, i.e. classical MCDM, probability theory and classification method. The most important steps of the idea are characterized and specific features of the applied methods are briefly presented. The application of Electre III combined with probability theory, and Promethee II combined with Bayes classifier are described in details. Two case studies of stochastic multiple criteria decision making are presented. The first one shows the distribution system of electrotechnical products, composed of 24 distribution centers (DC), while the core business of the second one is the production and warehousing of pharmaceutical products. Based on the application of presented stochastic MCDM method, different ways of improvements of these complex systems are proposed and the final i.e. the best paths of changes are recommended.

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MODEL OF INFORMATION PLATFORM FOR ELECTRICITY DISTRIBUTION SYSTEMS PLANNING

KPI Science News ◽

10.20535/kpisn.2020.4.207712 ◽

2021 ◽

Author(s):

Yuliia V. Chernetska ◽

Anatolii I. Zamulko

Keyword(s):

Information Technology ◽

Smart Grid ◽

Distribution System ◽

Information Exchange ◽

Distribution Systems ◽

Electricity Distribution ◽

System Planning ◽

Information Platform ◽

Systems Planning ◽

Distribution System Planning

Background. Implementation of the Smart Grid concept in Ukraine is under consideration, and it should become an integral part of the electricity distribution systems planning. One of the outstanding issues is exchanging the information on the distribution systems development between all stakeholders using modern information and communication solutions. Objective. The purpose of the research is to develop a generalized model of information platform for electricity distribution system planning and expansion of Smart Grid technologies in the energy system of Ukraine. Methods. The experience of the European Union (EU) in electricity distribution system planning, and specifically, the organization of interaction between stakeholders was analyzed. With the help of a system approach, the requirements of the existing in Ukraine laws and regulations on electricity distribution system planning were investigated. The model structure of the proposed information platform was formalized by the graphical tools of the unified modeling language (UML). Results. It is determined that the EU organizes the information exchange for the purposes of electricity distribution system planning, using different tools in parallel: specialized institutions for communication of stakeholders; cooperation of energy regulators; reports of scientific institutions about Smart Grid project implementation; information technology platforms for modeling the electricity distribution system in cooperation with its users. The existing in Ukraine scheme of interaction between all actors directly or indirectly involved in electricity distribution system planning was investigated; it was proposed to develop an information technology platform “Ukrainian Smart Energy – USE” to eliminate the identified negative aspects of information exchange between the actors. The generalized structure of the USE platform was formalized using a UML class diagram; it shows the content of data available for viewing and required for publication by different classes of the platform users, depending on their functions. Conclusions. The proposed model of information platform USE is the basis for further investigations directed to develop an appropriate information technology platform.

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