THE APPLICATION OF MATHEMATICAL MULTI-CRITERIA METHODS FOR CHOOSING THE OPTIMAL ALTERNATIVE FOR HARD COAL ACQUISITION

被引:0
|
作者
Sobczyk, Eugeniusz J. [1 ]
Wota, Aldona [2 ]
Krezolek, Stanislaw
机构
[1] Inst Gospodarki Surowcami Mineralnymi & Energia P, Krakow, Poland
[2] Slaska Wyzsza Szkola Zarzadzania Gen Jerzego Ziet, Katowice, Poland
关键词
Hard coal mining; choice of decision alternatives; Analytic Hierarchy Process; BOCR analysis;
D O I
暂无
中图分类号
P57 [矿物学];
学科分类号
070901 ;
摘要
The paper presents the application of the Analytic Hierarchy Process technique to evaluate and choose the best alternative for acquiring hard coal for energy purposes by a potential Investor operating in the mining and energy sector. Six different sources supposed to provide hard coal were analysed, each of which might ensure a secure and independent supply of the material to the newly built coal-fired power plant. When choosing the best decision alternative, the positive and negative impacts of alternatives were considered through the BOCR analysis: benefits (B), opportunities (0), costs (C) and risks (R) analysis. For this purpose, 4 independent hierarchical models were developed. Different models have the same decision alternatives assessed, but they differ in criteria used to develop the models. In each of the models, in accordance with the A HP rules, were calculated final, global weights for the alternatives being assessed. Showing the best alternative was possible by applying the multiplicative formula (B . O)/(C . R), which value was used to rank and choose the best alternative from all assessed ones. The best decision alternative is the alternative where the (B . O)1(C . R) ratio is the highest.
引用
收藏
页码:51 / 68
页数:18
相关论文
共 50 条
  • [21] Multi-criteria model for choosing organizational agility assessment method
    Marhraoui, Mohamed Amine
    El Manouar, Abdellah
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA'18), 2018,
  • [22] Hybrid approach using multi-criteria methods and mathematical programming for outsourcing logistic problem
    Bidani, Nesrine
    Frikha, Hela Moalla
    INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS, 2018, 6 (1-2) : 146 - 168
  • [23] Application of MEREC in Multi-Criteria Selection of Optimal Spray-Painting Robot
    Shanmugasundar, G.
    Sapkota, Gaurav
    Cep, Robert
    Kalita, Kanak
    PROCESSES, 2022, 10 (06)
  • [24] A Framework for Multi-Criteria Optimal Location Selection
    Zhang, Ji
    Ku, Wei-Shinn
    Jiang, Xunfei
    Qin, Xiao
    Sun, Min-Te
    Lu, Hua
    23RD ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2015), 2015,
  • [25] Multi-criteria optimal task allocation at the edge
    Kolomvatsos, Kostas
    Anagnostopoulos, Christos
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 93 : 358 - 372
  • [26] Multi-criteria mathematical model of the pilot training process
    Woch, Marta
    Zurek, Jozef
    Tomaszewska, Justyna
    22ND INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, COMMUNICATIONS AND COMPUTERS (CSCC 2018), 2018, 210
  • [27] Multi-Criteria Approach for Selecting Optimal Dozer Type in Open-Cast Coal Mining
    Jankovic, Ivan
    Djenadic, Stevan
    Ignjatovic, Dragan
    Jovancic, Predrag
    Subaranovic, Tomislav
    Ristovic, Ivica
    ENERGIES, 2019, 12 (12)
  • [28] Application of multi-criteria decision making methods for selection of ship internal layout design from a Pareto optimal set
    Jafaryeganeh, H.
    Ventura, M.
    Soares, C. Guedes
    OCEAN ENGINEERING, 2020, 202
  • [29] Selection of boron based tribological hard coatings using multi-criteria decision making methods
    Caliskan, Halil
    MATERIALS & DESIGN, 2013, 50 : 742 - 749
  • [30] Combined application of multi-criteria optimization and life-cycle sustainability assessment for optimal distribution of alternative passenger cars in US
    Onat, Nuri Cihat
    Kucukvar, Murat
    Tatari, Omer
    Zheng, Qipeng Phil
    JOURNAL OF CLEANER PRODUCTION, 2016, 112 : 291 - 307