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MS-E2191 - Graduate seminar on operations research (V), 13.09.2019-04.12.2019

This course space end date is set to 04.12.2019 Search Courses: MS-E2191

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Syllabus
 

Background material for the presentations

  • Background material for the presentations

    Background material for the presentations

    • Brown, G. G., Dell, R. F., Newman, A. M., 2004: Optimizing Military Capital Planning, Interfaces 34/6, s. 415-425.
    • Bryan, B. A., 2010: Development and Application of a Model for Robust, Cost-Effective Investment in Natural Capital and Ecosystem Services, Biological Conservation 143/7, s. 1737-1750.
    • Charnes, A., Cooper, W. W., Rhodes, E., 1978: Measuring the efficiency of decision making units, European Journal of Operational Research 2/6, s. 429-444.
    • Clemen, R. T., Smith, J. E., 2009: On the Choice of Baselines in Multiattribute Portfolio Analysis: A Cautionary Note, Decision Analysis 6/4, s. 256-262.
    • Cooper, W. W., Seiford, L. M., Tone, K., 2006: Introduction to Data Envelopment Analysis and Its Uses - With DEA-Solver Software and References,  Springer Science+Business Media, New York.
    • Eisenführ, F., Weber, M., Langer, T., 2010: Rational Decision Making,  Springer-Verlag Berlin Heidelberg.
    • Ewing Jr., P. L., Tarantino, W., Parnell, G. S., 2006: Use of Decision Analysis in the Army Base Realignment and Closure (BRAC) 2005 Military Value Analysis, Decision Analysis 3/1, s. 33-49.
    • Fliedner, T., Liesiö, J., 2016: Adjustable robustness for multi-attribute project portfolio selection , European Journal of Operational Research 252, s. 931-946.
    • Golabi, K., Kirkwood, C. W., Sicherman, A., 1981: Selecting a Portfolio of Solar Energy Projects Using Multiattribute Preference Theory, Management Science 27/2, s. 174-189.
    • Grushka-Cockayne, Y., De Reyck, B., Degraeve, Z., 2008: An Integrated Decision-Making Approach for Improving European Air Traffic Management, Management Science 54/8, s. 1395-1409.
    • Halme, M., Joro, T., Korhonen, P., Wallenius, J., 1999: A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis, Management Science 45/1, s. 103-115.
    • Kirkwood, G. W., 1997: Strategic Decision Making: Multiobjective Decision Analysis with Spreadsheets,  Duxbury Press, Wadsworth Publishing Company.
    • Kleinmuntz, C. E., Kleinmuntz, D. N., 1999: Strategic Approach to Allocating Capital in Healthcare Organizations, Healthcare Financial Management 53/4, s. 52-58.
    • Kleinmuntz, D. N., 2007: Resource Allocation Decisions, kirjassa: Edwards ym. (eds): Advances in Decision Analysis - From Foundations to Applications. Cambridge University Press, s. 400-418.
    • Korhonen, P., Tainio, R., Wallenius, J., 2001: Value effciency analysis of academic research, European Journal of Operational Research 130/1, s. 121-132.
    • Liesiö, J., 2014: Measurable Multiattribute Value Functions for Portfolio Decision Analysis, Decision Analysis 11/1, s. 1-20.
    • Liesiö, J., Mild, P., Salo, A., 2007: Preference programming for robust portfolio modeling and project selection, European Journal of Operational Research 181/3, s. 1488-1505.
    • Liesiö, J., Mild, P., Salo, A., 2008: Robust portfolio modeling with incomplete cost information and project interdependencies, European Journal of Operational Research 190/3, s. 679-695.
    • Liesiö, J., Punkka, A., 2014: Baseline Value Specification and Sensitivity Analysis in Multiattribute Project Portfolio Selection, European Journal of Operational Research 273/3, s. 946-956.
    • Liesiö, J., Salo, A., 2012: Scenario-based portfolio selection of investment projects with incomplete probability and utility information, European Journal of Operational Research 217/1, s. 162-172.
    • Mild, P., Liesiö, J., Salo, A., 2015: Selecting Infrastructure Maintenance Projects with Robust Portfolio Modeling, Decision Support Systems 77, s. 21-30.
    • Mustajoki, J., Hämäläinen, R. P., Salo, A., 2005: Decision Support by Interval SMART/SWING - Incorporating Imprecision in the SMART and SWING Methods, Decision Sciences 36/2, s. 317-339.
    • Punkka, A., Salo, A., 2013: Preference Programming with incomplete ordinal information, European Journal of Operational Research 231/1, s. 141-150.
    • Punkka, A., Salo, A., 2014: Scale Dependence and Ranking Intervals in Additive Value Models under Incomplete Preference Information, Decision Analysis 11/2, s. 83-104.
    • Salo, A. A., Hämäläinen, R. P., 1992: Preference Assessment by Imprecise Ratio Statements, Operations Research 40/6, s. 1053-1061.
    • Salo, A. A., Hämäläinen, R. P., 2001: Preference Ratios in Multiattribute Evaluation (PRIME)—Elicitation and Decision Procedures under Incomplete Information, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 31/6, s. 533-545.
    • Salo, A., Hämäläinen, R. P., 2010: Preference Programming - Multicriteria Weighting Models under Incomplete Information, In: Zopounidis and Pardalos (eds.): Handbook of Multicriteria Analysis, Applied Optimization 103. Springer-Verlag Berlin Heidelberg, s. 167-187.
    • Salo, A., Punkka, A., 2011: Ranking Intervals and Dominance Relations for Ratio-Based Efficiency Analysis, Management Science 57/1, s. 200-214.
    • Schang, L., Hynninen, Y., Morton, A., Salo, A., 2016: Developing robust composite measures of healthcare quality - Ranking intervals and dominance relations for Scottish Health Boards, Social Science & Medicine 162, s. 59-67.
    • Tervonen, T., Liesiö, J., Salo, A., 2017: Modelling Project Preferences in Multiattribute Portfolio Decision Analysis, European Journal of Operational Research 263/1, s. 225-239.
    • Thompson, R. G., Singleton, Jr., F. D., Thrall, R. M., Smith, B., A., 1986: Comparative Site Evaluations for Locating a High-Energy Physics Lab in Texas, Interfaces 16/6, s. 35-49.
    • Vilkkumaa, E., Liesiö, J., Salo, A., Ilmola-Sheppard, L., 2018: Scenario-based portfolio model for building robust and proactive strategies, European Journal of Operational Research 266/1, s. 205-220.

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