Optimization in Special Methods of Strategic Planning and Operations Management in Transportation Systems

  • Alexander S. Belenky
Part of the Applied Optimization book series (APOP, volume 20)


A business game is a specially arranged model interaction of persons (participants) simulating their real-life activity. The purpose of a business game is to help the participants obtain necessary practical skills for certain forms of the real-life activity. The idea of arranging a business game consists of intensifying the participants’ mental activity due to mobilizing their intellectual and physical resources and concentrating their attention. This is attained through the emotional tension generated by the game by virtue of creating a conflict situation that affects the interests of all participants of the game, as well as by developing a scenario of the game and a role for each participant. It is done in such a way that the players’ action in the process of playing their roles obtains personal coloring, and, besides, none of the roles could be played by a person not being a specialist in the field in which the role is played.


Strategic Planning Transportation System Operation Management Level Problem Expert Estimate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Dabagyan, A. B., Gorelyi, A. V., and Ivanov, L. V. “Coordinated redistribution of resources in a business game ”Cooperation and effectiveness“.” In Vestnik Khar’kovskogo Politekhnicheskogo Instituta (Herald of Khar’kov Polytechnic Institute). Khar’kov, 1988, No. 252: 56–58 [in Russian].Google Scholar
  2. [2]
    Platov, V. Ya., and Podinovskii, V. V. Delovaja Igra kak Metod Aktivnogo Obuchenija Profsojuznykh Kadrov. Uchebnoe Posobie (Business Game as a Method of Active Education of Trade-Union Staff. Text book). Moscow: Izd. Visschaya Schola Profsoyuznogo Dvizhenia (Higher School of Trade-Union Movement ), 1986 [in Russian].Google Scholar
  3. [3]
    Belen’kii, A. S. Metody Optimal’nogo Planirovanija na Transporte (Transport Optimum Planning Methods). Moscow: Znanie, 1988 [in Russian].Google Scholar
  4. [4]
    Krjukov, M. M., and Krjukova, L. I. On a question of classification of business games. Ekonomika i matematicheskie metody. 1985, XXI, No. 3: 489–500 [in Russian].Google Scholar
  5. [5]
    Krjukov, M. M., and Krjukova, L. I. Printzipy Otrazhenija Ekonomicheskoi Deistvitel’nosti v Delovykh Igrakh (Principles of Reflecting Economic Reality in Business Games). Moscow: Nauka, 1988 [in Russian].Google Scholar
  6. [6]
    Ribalskiy, V. I. Metodicheskie Ukazanija po Izucheniju Sistem Setevogo Planirovanija i Upravlenija s Pomoschju Delovykh Igr (Methodological Instructions on Studying Systems of Network Planning and Control with Help of Business Games). Kiev: Izd. KISI (Kiev Engineering-Building Institute), 1978 [in Russian].Google Scholar
  7. [7]
    Ivanilov, Yu. P., and Lotov, A. V. Matematicheskie Modeli v Ekonomike (Mathematical Models in Economics). Moscow: Nauka, 1979 [in Russian].Google Scholar
  8. [8]
    Sbornik Trudov VNII Sistemnykh Issledovanii (Collection of Articles of All-Union Institute of System Studies). Moscow: Izd. VNIISI (All-Union Institute of System Studies), 1987; No. 18 [in Russian].Google Scholar
  9. [9]
    Dubov, Yu. A., and Zhusupbaliev, M. B. “Normative-behavioral models of preparing variants of development of a city transportation network.” In Sbornik Trudov VNII Sistemnykh Issledovanii (Collection of articles of All-Union Institute of System Studies). Moscow: Izd. VNIISI (All-Union Institute of System Studies), 1987; No. 18: 40–53 [in Russian].Google Scholar
  10. [10]
    Belen’kii, A. S. “Transportation systems: analysis of potential and optimization of functioning.” In Kommunikatzii i Transport (Communications and Transport). Moscow: Znanie, 1985 [in Russian].Google Scholar
  11. [11]
    Belen’kii, A. S., and Kadyrov, M. N. “Automatization of coordination of expert and model variable estimates in simulation of economic systems development.” In IX Vsesojuznoe Soveschanie po Problernam Upravlenija (Erevan, 1983). Tezisy Dokladov (IX All- Union Meeting on Problems of Control (Yerevan, 1983). Collection of abstracts). Moscow: Izd. Institute Problem Upravlenia ( Institute of Control Sciences, USSR Academy of Sciences ), 1983; 325–326 [in Russian].Google Scholar
  12. [12]
    Englund, E. A. Computer simulation of transport systems. Transactions of the Institution of Engineers. Australia. Civil Engineering. 1986; 28, No. 3: 256–267.Google Scholar
  13. [13]
    Bernatovich, A. S., and Solomjanyi, S. V. “Multi-criteria optimization in simulation modeling.” In Prinjatie Reschenii pri Mnogikh Kriterijakh. Tezisy Dokladov na V Mezhrespublikanskom Seminare po Issledovaniju Operatzii i Sisternnomu Analizu. Kutaisi, 24–27 Sentjabrja, 1985 (Decision Making Under Many Criteria. Collection of Abstracts of V Interrepublic Seminar on Operations Research and Systems Analysis. Kutaisi, 24–27 of September 1985). Moscow: Izd. Visschaya Schola Profsoyuznogo Dvizhenia (Higher School of Trade-Union Movement), 1985; 56 [in Russian].Google Scholar
  14. [14]
    Maximey, I. V. Imitatzionnoe Modelirovanie na EVM (Computer Simulation Modeling). Moscow: Radio i svyaz’, 1988 [in Russian].Google Scholar
  15. [15]
    Pospelov, G. S., Irikov, V. A., and Kurilov, A. E. Protzedury i Algoritmy Formirovanija Kompleksnykh Programm (Procedures and Algorithms of Forming Complex Programs). Moscow: Nauka, 1985 in Russian].Google Scholar
  16. [16]
    Pospelov, G. S., and Irikov, V. A. Programmno-Tzelevoe Planirovanie i Upravlenie (Program-Goal Planning and Control). Moscow: Sovietskoe Radio, 1976 [in Russian].Google Scholar
  17. [17]
    Programmno-Tzelevoi Metod v Planirovanii. Redaktor Fedorenko N. P. (Program Goal Method in Planning. Editor Fedorenko, N. P.). Moscow: Nauka, 1982 [in Russian].Google Scholar
  18. [18]
    Problemy Programmno-Tzelevogo Planirovanija i Upravlenija. Redaktor Pospelov G. S. (Problems of Program-Goal Planning and Control. Editor Pospelov, G. S.). Moscow: Nauka, 1981 [in Russian].Google Scholar
  19. [19]
    Frolov, V. N., and Chernavin, P. F. “Program-and-goal oriented control of economic objects on the basis of mathematical programming models.” In Ekonomiko-Matematichesky Obzor. 1987; 23, No. 4: 361–376.MathSciNetGoogle Scholar
  20. [20]
    Pankova, L. A., Petrovskii, A. M., and Schnaiderman, M. V. Organizatzija Ekcpertizy i Analiz Ekspertnoi Informatzii (Organizing of Expertise and Analysis of Expert Information). Moscow: Nauka, 1984 [in Russian].Google Scholar
  21. [21]
    Dobrov, G. M., Ershov, Yu. V., Levin, E. I., et al. Ekspertnie Otzenki v Nauchno-Tekhnicheskom Prognozirovanii (Expert Estimates in Scientific-Technological Forecasting). Kiev: Naukova Dumka, 1984 [in Russian].Google Scholar
  22. [22]
    Dorofejuk, A. A., and Movsumov, V. G. “Methods of forming expert committees with using algorithms of automatic classification.” In Ekspertnye Otzenki v Zadachakh Upravlenija. Sbornik Trudov. (Expert Estimates in Problems of Control. Collection of Articles). Moscow: Izd. Institute Problem Upravlenia (Institute of Control Sciences, USSR Academy of Sciences ), 1982; 11–16 [in Russian].Google Scholar
  23. [23]
    Braverman, E. M., and Muchnick, I. B. Strukturnye Metody Obrabotki Empiricheskykh Dannykh (Structural Methods of Processing Empirical Data). Moscow: Nauka, 1983 [in Russian].Google Scholar
  24. [24]
    Belen’kii, A. S. Prikladnaja Matematika v Narodnom Khozjaistve (Applied Mathematics in National Economy). Moscow: Znanie, 1985 [in Russian].Google Scholar
  25. [25]
    Livshitz, V. N. Optimizatzija pri Perspektivnom Planirovanii i Proektirovanii (Optimization in Perspective Planning and Projecting). Moscow: Economika, 1984 [in Russian].Google Scholar
  26. [26]
    Burkov, V. N., and Enaleev, A. K. “Simulating authenticity and quality of expert estimates.” In Analiz Dannykh i Ekspertnie Otzenki v Organizatzionnykh Sistemakh. Sbornik Trudov (Data Analysis and Expert Estimates in Organizational Systems. Collection of Articles). Moscow: Izd. Institute Problem Upravlenia (Institute of Control Sciences, USSR Academy of Sciences ), 1985; 70–76 [in Russian].Google Scholar
  27. [27]
    Burkov, V. N. Osnovy Matematicheskoi Teorii Aktivnykh Sistem (Fundamentals of Mathematical Theory of Active Systems). Moscow: Nauka, 1977 [in Russian].Google Scholar
  28. [28]
    Rao, J. R., Tiwari, R. N., and Mohanty, B. K. Preference structure on alternatives and judges in group decision problem—a fuzzy approach. International Journal of Systems Science. 1988; 19, No. 9: 1795–1811.MathSciNetMATHCrossRefGoogle Scholar

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© Springer Science+Business Media Dordrecht 1998

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  • Alexander S. Belenky

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