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Creative trans-border cooperation in the field of operations research and sustainable development in civil engineering

    Oleg Kapliński Affiliation
    ; Tatjana Vilutienė   Affiliation

Abstract

The paper presents an overview of the history and achievements of trans-border cooperation in the Lithuania-Germany-Poland triangle in planning instruments in Construction Management, decision-making theory, application of Operational Research, and Multiple Criteria Decision Making (MCDM) methods in Civil Engineering and sustainable development. The cooperation and results of the Colloquiums with 35 years of tradition, their multidimensional nature is underlined. The research instruments, methods, studied phenomena are reviewed and characteristic applications in engineering and economics are presented. The knowledge and combined efforts of three academic centers have created a synergy which set in motion many original methods and spectacular implementations. The Colloquium calendar and the evolution of organizational forms are presented along with the inclusion of the informal EURO Working Group on Operations Research in Sustainable Development and Civil Engineering.

Keyword : scientific cooperation, operations research, MCDM, decisions, variants, micro and macroeconomics, sustainable development, civil engineering, EURO Working Group ORSDCE, review

How to Cite
Kapliński, O., & Vilutienė, T. (2021). Creative trans-border cooperation in the field of operations research and sustainable development in civil engineering. Technological and Economic Development of Economy, 27(6), 1613-1639. https://doi.org/10.3846/tede.2021.16112
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Dec 16, 2021
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Abu Adi, W., Hiyassat, M., & Lepkova, N. (2021). Business strategy development model for applying knowledge management in construction. Journal of Civil Engineering and Management, 27(4), 246–259. https://doi.org/10.3846/jcem.2021.14651

Al-Refaie, A., Al-Shalaldeh, H., & Lepkova, N. (2020). Proposed procedure for optimal maintenance scheduling under emergent failures. Journal of Civil Engineering and Management, 26(4), 396–409. https://doi.org/10.3846/jcem.2020.12315

Alinezhad, A., & Khalili, J. (2019). New methods and applications in Multiple Attribute Decision Making (MADM). Springer. https://doi.org/10.1007/978-3-030-15009-9

Antucheviciene, J., Kala, Z., Marzouk, M., & Vaidogas, E. R. (2015). Solving civil engineering problems by means of fuzzy and stochastic MCDM methods: Current state and future research. Mathematical Problems in Engineering, 2015, 362579. https://doi.org/10.1155/2015/362579

Antucheviciene, J., Tavana, M., Nilashi, M., & Bausys, R. (2017). Managing information uncertainty and complexity in decision-making: editorial. Complexity, 2017, 1268980. https://doi.org/10.1155/2017/1268980

Asadi, P., Rezaeian Zeidi, J., Mojibi, T., Yazdani-Chamzini, A., & Tamošaitienė, J. (2018). Project risk evaluation by using a new fuzzy model based on ELENA guideline. Journal of Civil Engineering and Management, 24(4), 284–300. https://doi.org/10.3846/jcem.2018.3070

Baas, J., Boyack, K., & Ioannidis, J. P. A. (2020). Data for “Updated science-wide author databases of standardized citation indicators.” Men-deley Data, V2. https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/2

Balali, A., Valipour, A., Antucheviciene, J., & Šaparauskas, J. (2020). Improving the results of the earned value management technique using arti-ficial neural networks in construction projects. Symmetry, 12(10), 1745. https://doi.org/10.3390/sym12101745

Baležentis, T., & Baležentis, A. (2014). A survey on development and applications of the multi-criteria decision making method MULTIMOORA. Journal of Multi-Criteria Decision Analysis, 21(3–4), 209–222. https://doi.org/10.1002/mcda.1501

Baumann, T., Dziadosz, A., Rejment, M., & Kapliński, O. (2014). Range of application and limitations of the Earned Value Methods in construc-tion project estimation. Technical Transactions-Czasopismo Techniczne, 2-B, 65–72. https://doi.org/10.4467/2353737XCT.14.113.2563

Bausys, R. (2019). Mokslinių pasiekimų puokštė. In O. Binkyte-Vėliene, A., Jursaite (Eds.), Neprarastų dienų metai. Akademikas Edmundas Kazimieras Zavadskas. II dalis. (pp. 76–86). Technika. https://doi.org/10.20334/2019-011-P

Bausys, R., & Zavadskas, E. K. (2015). Multicriteria decision making approach by VIKOR under interval neutrosophic set environment. Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 49(4), 33–48.

Bausys, R., Zavadskas, E. K., & Kaklauskas, A. (2015). Application of neutrosophic set to multicriteria decision making by COPRAS. Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 49(2), 91–106.

Bielskus, J., Motuziene, V., Vilutienė, T., & Indriulionis, A. (2020). Occupancy prediction using differential evolution online sequential Extreme Learning Machine model. Energies, 13(15), 4033. https://doi.org/10.3390/en13154033

Bonenberg, W., & Kapliński, O. (2018). The architect and the paradigms of sustainable development: A review of dilemmas. Procedia Engineering, 10(1), 100. https://doi.org/10.3390/su10010100

Brauers, W. K. M. (2007a). Normalisation in multiobjective optimisation: A general overview. International Journal of Management and Decision Making, 8(5–6), 461–474. https://doi.org/10.1504/IJMDM.2007.013412

Brauers, W. K. M. (2007b). What is meant by normalisation in decision making? International Journal of Management and Decision Making, 8(5–6), 445–460. https://doi.org/10.1504/IJMDM.2007.013411

Brauers, W. K. M., Zavadskas, E. K., Peldschus, F., & Turskis, Z. (2008). Multi‐objective decision‐making for road design. Transport, 23(3), 183–193. https://doi.org/10.3846/1648-4142.2008.23.183-193

Clarivate. (2020). Highly cited researchers. Web of ScienceTM. Retrieved October 8, 2021, from https://recognition.webofscience.com/awards/highly-cited/2020/

D’Amico, A., Ciulla, G., Tupenaite, L., & Kaklauskas, A. (2020). Multiple criteria assessment of methods for forecasting building thermal energy demand. Energy and Buildings, 224, 110220. https://doi.org/10.1016/j.enbuild.2020.110220

Dičiūnaitė-Rauktienė, R., Gurskienė, V., Burinskienė, M., & Malienė, V. (2018). The usage and perception of pedestrian zones in Lithuanian cities: multiple criteria and comparative analysis. Sustainability, 10(3), 818. https://doi.org/10.3390/su10030818

Dziadosz, A., Tomczyk, A., & Kapliński, O. (2015). Financial risk estimation in construction contracts. Procedia Engineering, 122, 120–128. https://doi.org/10.1016/j.proeng.2015.10.015

Erdogan, S. A., Šaparauskas, J., & Turskis, Z. (2019). A multi-criteria decision-making model to choose the best option for sustainable construc-tion management. Sustainability, 11(8), 2239. https://doi.org/10.3390/su11082239

Fiedler, K., Peldschus, F., & Zavadskas, E. K. (1986). Methoden der Bautechnologischen Entscheidung. Wissenschaftliche Berichte Der Tech-nischen Hochschule Leipzig.

Gajzler, M., & Zima, K. (2017). Evaluation of planned construction projects using fuzzy logic. International Journal of Civil Engineering, 15(4), 641–652. https://doi.org/10.1007/s40999-017-0177-8

Ghodoosi, F., Bagchi, A., Hosseini, M. R., Vilutienė, T., & Zeynalian, M. (2021). Enhancement of bid decision-making in construction projects: A reliability analysis approach. Journal of Civil Engineering and Management, 27(3), 149–161. https://doi.org/10.3846/jcem.2021.14344

Ginevičius, R. (1998). Įmonių veiklos diversifikacija. Technika.

Ginevičius, R., Krivka, A., & Simkunaite, J. (2010). Įmonės konkurencines strategijos formavimo oligopolinėje rinkoje modelis. Journal of Busi-ness Economics and Management, 11(3), 367–395. https://doi.org/10.3846/jbem.2010.18

Ginevicius, R., & Podvezko, V. (2007, May 16–18). The influence of complex evaluation methods on rating the alternative solutions of wall insula-tion. In 9th International Conference: Modern Building Materials, Structures and Techniques (Vol. 1–3, pp. 248–251).

Ginevičius, R., Podvezko, V., & Bruzge, Š. (2008). Evaluating the effect of state aid to business by multicriteria methods. Journal of Business Economics and Management, 9(3), 167–180. https://doi.org/10.3846/1611-1699.2008.9.167-180

Hafezalkotob, A., Hafezalkotob, A., Liao, H., & Herrera, F. (2019). An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges. Information Fusion, 51, 145–177. https://doi.org/10.1016/j.inffus.2018.12.002

Hatefi, S. M., & Tamošaitienė, J. (2019). An integrated fuzzy DEMATEL-fuzzy ANP model for evaluating construction projects by considering interrelationships among risk factors. Journal of Civil Engineering and Management, 25(2), 114–131. https://doi.org/10.3846/jcem.2019.8280

Janusz, L., & Kapliński, O. (2006). The application of multifactor model LITCAC in the organization of assembly work of flexible corrugated steel structures. Technological and Economic Development of Economy, 12(3), 195–199. https://doi.org/10.3846/13928619.2006.9637741

Jaskowski, P., Biruk, S., & Bucon, R. (2010). Assessing contractor selection criteria weights with fuzzy AHP method application in group decision environment. Automation in Construction, 19(2), 120–126. https://doi.org/10.1016/j.autcon.2009.12.014

Juan, Y.-K., Huang, S.-J. H., & Chen, H.-T. (2014). Applying a Kano quality model for intelligent green building design strategies in Taiwan. International Journal of Strategic Property Management, 18(2), 125–137. https://doi.org/10.3846/1648715X.2014.893266

Kaklauskas, A. (2015). Biometric and Intelligent Decision Making Support. Springer. https://doi.org/10.1007/978-3-319-13659-2

Kaklauskas, A. (2016). Analysis of the life cycle of a built environment. Nova Science Publishers.

Kaklauskas, A., Abraham, A., Dzemyda, G., Raslanas, S., Seniut, M., Ubarte, I., Kurasova, O., Binkyte-Veliene, A., & Cerkauskas, J. (2020a). Emotional, affective and biometrical states analytics of a built environment. Engineering Applications of Artificial Intelligence, 91, 103621. https://doi.org/10.1016/j.engappai.2020.103621

Kaklauskas, A., Bardauskiene, D., Cerkauskiene, R., Ubarte, I., Raslanas, S., Radvile, E., Kaklauskaite, U., & Kaklauskiene, L. (2021). Emotions analysis in public spaces for urban planning. Land Use Policy, 107, 105458. https://doi.org/10.1016/j.landusepol.2021.105458

Kaklauskas, A., Bucinskas, V., & Binkyte-Veliene, A. (2020b). The VINERS neuromarketing system. 2020 IEEE 10th International Conference on Intelligent Systems (IS), 345–351. https://doi.org/10.1109/IS48319.2020.9199948

Kaklauskas, A., Bucinskas, V., Vinogradova, I., Binkyte-Veliene, A., Ubarte, I., Skirmantas, D., & Petric, L. (2019a). INVAR neuromarketing method and system. Studies in Informatics and Control, 28(3), 357–370. https://doi.org/10.24846/v28i3y201912

Kaklauskas, A., Dzitac, D., Sliogeriene, J., Lepkova, N., & Vetloviene, I. (2019b). VINERS method for the multiple criteria analysis and neuro-marketing of best places to live. International Journal of Computers, Communications and Control, 14(5), 629–646. https://doi.org/10.15837/ijccc.2019.5.3674

Kaklauskas, A., Jokubauskas, D., Cerkauskas, J., Dzemyda, G., Ubarte, I., Skirmantas, D., Podviezko, A., & Simkute, I. (2019c). Affective ana-lytics of demonstration sites. Engineering Applications of Artificial Intelligence, 81, 346–372. https://doi.org/10.1016/j.engappai.2019.03.001

Kaklauskas, A., Ubarte, I., Kalibatas, D., Lill, I., Velykorusova, A., Volginas, P., Vinogradova, I., & Milevicius, V. (2019d). A multisensory, green, and energy efficient housing neuromarketing method. Energies, 12(20), 3836. https://doi.org/10.3390/en12203836

Kaklauskas, A., Zavadskas, E. K., Schuller, B., Lepkova, N., Dzemyda, G., Sliogeriene, J., & Kurasova, O. (2020c). Customized ViNeRs method for video neuro-advertising of green housing. International Journal of Environmental Research and Public Health, 17(7), 1–28. https://doi.org/10.3390/ijerph17072244

Kapliński, O. (1978). Harmonizacja cyklicznych procesów budowlanych w ujęciu stochastycznym [Harmonization of cyclical construction pro-cesses under stochastic conditions]. Poznan University Press.

Kapliński, O. (1997). Modelling of construction processes: A managerial approach (Studia z Zakresu Inżynierii No. 43). KILiW PAN, IPPT, Warsaw.

Kapliński, O. (2008). Usefulness and credibility of scoring methods in construction industry. Journal of Civil Engineering and Management, 14(1), 21–28. https://doi.org/10.3846/1392-3730.2008.14.21-28

Kapliński, O., & Bonenberg, W. (2020). Architecture and engineering: the challenges – trends – achievements. Buildings, 10(10), 181. https://doi.org/10.3390/buildings10100181

Kapliński, O., & Miłosz, M. (1996). Reliability of complex production systems. Civil Engineering Systems, 13(1), 61–73. https://doi.org/10.1080/02630259608970186

Kapliński, O., & Peldschus, F. (2011). The problems of quantitative evaluation of socio-economic systems’ development: Review. Inzinerine ekonomika-Engineering Economics, 22(4), 345–355. https://doi.org/10.5755/j01.ee.22.4.710

Kapliński, O., Peldschus, F., Nazarko, J., Kaklauskas, A., & Baušys, R. (2019). MCDM, operational research and sustainable development in the trans-border Lithuanian-German-Polish co-operation. Engineering Management in Production and Services, 11(2), 7–18. https://doi.org/10.2478/emj-2019-0007

Kapliński, O., & Tamošaitiene, J. (2010). Game theory applications in construction engineering and management. Technological and Economic Development of Economy, 16(2), 348–363. https://doi.org/10.3846/tede.2010.22

Kapliński, O., & Thiel, T. (1995). Evaluation of multi-family housing systems in Poland. Construction Management and Economics, 13(4), 291–298. https://doi.org/10.1080/01446199500000034

Kapliński, O., & Tupenaite, L. (2011). Review of the multiple criteria decision making methods, intelligent and biometric systems applied in modern construction economics. Transformations in Business & Economics, 10(1), 166–181.

Kapliński, O., Zavadskas, E. K., Brzeziński, J., & Kaklauskas, A. (1995). Expert systems in construction industry: trends, potentials and applica-tions. Technika.

Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). Simultaneous evaluation of criteria and alterna-tives (SECA) for multi-criteria decision-making. Informatica, 29(2), 265–280. https://doi.org/10.15388/Informatica.2018.167

Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2017). Supplier evaluation and selection in fuzzy environments: a review of MADM approaches. Economic Research-Ekonomska Istrazivanja, 30(1), 1073–1118. https://doi.org/10.1080/1331677X.2017.1314828

Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). A dynamic fuzzy approach based on the EDAS method for multi-criteria subcontractor evaluation. Information, 9(3), 68. https://doi.org/10.3390/info9030068

Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Antucheviciene, J. (2016a). Evaluation by an area-based method of ranking interval type-2 fuzzy sets (EAMRIT-2F) for multi-criteria group decision-making. Transformations in Business & Economics, 15(3), 76–95.

Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Antuchevičienė, J. (2016b). A new method of assessment based on fuzzy ranking and aggregated weights (AFRAW) for MCDM problems under type-2 fuzzy environment. Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 50(1), 39–68.

Khalesi, H., Balali, A., Valipour, A., Antucheviciene, J., Migilinskas, D., & Zigmund, V. (2020). Application of hybrid SWARA–BIM in reducing reworks of building construction projects from the perspective of time. Sustainability, 12(21), 8927. https://doi.org/10.3390/su12218927

Krylovas, A., Kosareva, N., & Zavadskas, E. K. (2017). WEBIRA – comparative analysis of weight balancing method. International Journal of Computers, Communications & Control (IJCCC), 12(2), 238–253. https://doi.org/10.15837/ijccc.2017.2.2844

Krylovas, A., Zavadskas, E. K., Kosareva, N., & Dadelo, S. (2014). New KEMIRA method for determining criteria priority and weights in solving MCDM problem. International Journal of Information Technology & Decision Making, 13(6), 1119–1133. https://doi.org/10.1142/S0219622014500825

Lesniak, A., Plebankiewicz, E., & Zima, K. (2012). Design and build procurement system – contractor selection. Archives of Civil Engineering, 58(4), 463–476. https://doi.org/10.2478/v.10169-012-0025-9

Liao, H., Ren, R., Antucheviciene, J., Šaparauskas, J., & Al-Barakati, A. (2020). Sustainable construction supplier selection by a multiple criteria decision-making method with hesitant linguistic information. E&M Ekonomie a Management, 23(4), 119–136. https://doi.org/10.15240/tul/001/2020-4-008

Liu, N., & Xu, Z. (2021). An overview of ARAS method: theory development, application extension, and future challenge. International Journal of Intelligent Systems, 36(7), 3524–3565. https://doi.org/10.1002/int.22425

Maghsoodi, A. I., Maghsoodi, A. I., Poursoltan, P., Antuchevičienė, J., & Turskis, Z. (2019). Dam construction material selection by implementing the integrated SWARA–CODAS approach with target-based attributes. Archives of Civil and Mechanical Engineering, 19(4), 1194–1210. https://doi.org/10.1016/j.acme.2019.06.010

Maliene, V., Dixon-Gough, R., & Malys, N. (2018). Dispersion of relative importance values contributes to the ranking uncertainty: sensitivity analysis of multiple criteria decision-making methods. Applied Soft Computing Journal, 67, 286–298. https://doi.org/10.1016/j.asoc.2018.03.003

Mardani, A., Jusoh, A., Halicka, K., Ejdys, J., Magruk, A., & Ungku, U. N. (2018a). Determining the utility in management by using multi-criteria decision support tools: a review. Economic Research-Ekonomska Istrazivanja, 31(1), 1666–1716. https://doi.org/10.1080/1331677X.2018.1488600

Mardani, A., Nilashi, M., Antucheviciene, J., Tavana, M., Bausys, R., & Ibrahim, O. (2017a). Recent fuzzy generalisations of rough sets theory: A systematic review and methodological critique of the literature. Complexity, 2017, 1608147. https://doi.org/10.1155/2017/1608147

Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017b). A systematic review and me-ta-analysis of SWARA and WASPAS methods: theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265–292. https://doi.org/10.1016/j.asoc.2017.03.045

Mardani, A., Nilashi, M., Zavadskas, E. K., Awang, S. R., Zare, H., & Jamal, N. M. (2018b). Decision making methods based on fuzzy aggrega-tion operators: three decades review from 1986 to 2017. International Journal of Information Technology & Decision Making, 17(2), 391–466. https://doi.org/10.1142/S021962201830001X

Melnikas, B. (2018). The knowledge economy and the activation of scientific and technological progress: Contemporary challenges. Ekonomika, 97(1), 7–23. https://doi.org/10.15388/Ekon.2018.1.11775

Meszek, W. (2007). Uncertainty phenomenon in property valuation. International Journal of Management and Decision Making, 8(5–6), 575–585. https://doi.org/10.1504/IJMDM.2007.013419

Miguel, B. P., Ferreira, F. A. F., Banaitis, A., Banaitienė, N., Meidutė-Kavaliauskienė, I., & Falcão, P. F. (2019). An expanded conceptualization of “Smart” cities: Adding value with fuzzy cognitive maps. E&M Ekonomie a Management, 22(1), 4–21. https://doi.org/10.15240/tul/001/2019-1-001

Mohagheghi, V., Mousavi, S. M., Antuchevičienė, J., & Mojtahedi, M. (2019). Project portfolio selection problems: a review of models, uncer-tainty approaches, solution techniques, and case studies. Technological and Economic Development of Economy, 25(6), 1380–1412. https://doi.org/10.3846/tede.2019.11410

Mohandes, S. R., Sadeghi, H., Mahdiyar, A., Durdyev, S., Banaitis, A., Yahya, K., & Ismail, S. (2020). Assessing construction labours’ safety level: A fuzzy MCDM approach. Journal of Civil Engineering and Management, 26(2), 175–188. https://doi.org/10.3846/jcem.2020.11926

Morkūnaitė, Ž., Kalibatas, D., & Kalibatienė, D. (2019). A bibliometric data analysis of multi-criteria decision making methods in heritage build-ings. Journal of Civil Engineering and Management, 25(2), 76–99. https://doi.org/10.3846/jcem.2019.8315

Mulliner, E., Malys, N., & Maliene, V. (2016). Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega, 59, 146–156. https://doi.org/10.1016/j.omega.2015.05.013

Mulliner, E., Smallbone, K., & Maliene, V. (2013). An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega, 41(2), 270–279. https://doi.org/10.1016/j.omega.2012.05.002

Nakhaei, J., Lale Arefi, S., Bitarafan, M., & Kapliński, O. (2016). Model for rapid assessment of vulnerability of office buildings to blast using SWARA and SMART methods (a case study of Swiss Re Tower). Journal of Civil Engineering and Management, 22(6), 831–843. https://doi.org/10.3846/13923730.2016.1189457

Nazarko, J., & Chodakowska, E. (2015). Measuring productivity of construction industry in Europe with Data Envelopment Analysis. Procedia Engineering, 122, 204–212. https://doi.org/10.1016/j.proeng.2015.10.026

Nazarko, J., & Kononiuk, A. (2013). The critical analysis of scenario construction in the Polish foresight initiatives. Technological and Economic Development of Economy, 19(3), 510–532. https://doi.org/10.3846/20294913.2013.809030

Nikmehr, B., Hosseini, M. R., Martek, I., & Zavadskas, E. K. (2021). Digitalization as a atrategic means of achieving sustainable efficiencies in construction management: a critical review. Sustainability, 13(9), 5040. https://doi.org/10.3390/su13095040

Opricovic, S. (1998). Multicriteria optimization of civil engineering systems [PhD Thesis]. Faculty of Civil Engineering, University of Belgrade, Belgrade.

Ozturk, M., Durdyev, S., Aras, O. N., & Banaitis, A. (2019). Productivity as a determinant of labour wage in New Zealand’s construction sector. Technological and Economic Development of Economy, 25(5), 900–914. https://doi.org/10.3846/tede.2019.10297

Pasławski, J. (2008). Flexibility approach in construction process engineering. Technological and Economic Development of Economy, 14(4), 518–530. https://doi.org/10.3846/1392-8619.2008.14.518-530

Peldschus, F. (2008). Experience of the game theory application in construction management. Technological and Economic Development of Econ-omy, 14(4), 531–545. https://doi.org/10.3846/1392-8619.2008.14.531-545

Peldschus, F. (2009). The analysis of the quality of the results obtained with the methods of multi‐criteria decisions. Technological and Economic Development of Economy, 15(4), 580–592. https://doi.org/10.3846/1392-8619.2009.15.580-592

Peldschus, F. (2018). Recent findings from numerical analysis in multi-criteria decision making. Technological and Economic Development of Economy, 24(4), 1695–1717. https://doi.org/10.3846/20294913.2017.1356761

Peldschus, F., & Zavadskas, E. K. (2012). Equilibrium approaches for construction processes – multi-objective decision making for construction projects. Bauingenieur, 87(5), 210–215.

Pishdar, M., Ghasemzadeh, F., Antucheviciene, J., & Saparauskas, J. (2018). Internet of things and its challenges in supply chain management: a rough strength-relation analysis method. E&M Ekonomie a Management, 21(2), 208–222. https://doi.org/10.15240/tul/001/2018-2-014

Plebankiewicz, E. (2010). Simple prequalification models. Archives of Civil Engineering, 56(4), 335–351. https://doi.org/10.2478/v.10169-010-0019-4

Plebankiewicz, E., Meszek, W., Zima, K., & Wieczorek, D. (2020). Probabilistic and fuzzy approaches for estimating the life cycle costs of build-ings under conditions of exposure to risk. Sustainability, 12(1), 226. https://doi.org/10.3390/su12010226

Radziszewski, P., Nazarko, J., Vilutienė, T., Dębkowska, K., Ejdys, J., Gudanowska, A., Halicka, K., Kilon, J., Kononiuk, A., Kowalski, K. J., Król, J. B., Nazarko, Ł., & Sarnowski, M. (2016). Future trends in road pavement technologies development in the context of environmental protection. Baltic Journal of Road and Bridge Engineering, 11(2), 60–168. https://doi.org/10.3846/bjrbe.2016.19

Rasiulis, R., Ustinovichius, L., Vilutienė, T., & Popov, V. (2016). Decision model for selection of modernization measures: Public building case. Journal of Civil Engineering and Management, 22(1), 124–133. https://doi.org/10.3846/13923730.2015.1117018

Saoud, L. A., Omran, J., Hassan, B., Vilutienė, T., & Kiaulakis, A. (2017). A method to predict change propagation within building information model. Journal of Civil Engineering and Management, 23(6), 836–846. https://doi.org/10.3846/13923730.2017.1323006

Sarvari, H., Chan, D. W. M., Rakhshanifar, M., Banaitiene, N., & Banaitis, A. (2020). Evaluating the impact of building information modeling (BIM) on mass house building projects. Buildings, 10(2), 1–16. https://doi.org/10.3390/buildings10020035

Shen, K. Y., Zavadskas, E. K., & Tzeng, G. H. (2018). Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’. Economic Research-Ekonomska Istrazivanja, 31(1), 1437–1452. https://doi.org/10.1080/1331677X.2018.1483836

Shevchenko, G., Ustinovichius, L., & Andruškevičius, A. (2008). Multi-attribute analysis of investments risk alternatives in construction. Techno-logical and Economic Development of Economy, 14(3), 428–443. https://doi.org/10.3846/1392-8619.2008.14.428-443

Shkundalov, D., & Vilutienė, T. (2021). Bibliometric analysis of Building Information Modeling, Geographic Information Systems and Web envi-ronment integration. Automation in Construction, 128, 103757. https://doi.org/10.1016/j.autcon.2021.103757

Skibniewski, M. J. (2014). Information technology applications in construction safety assurance. Journal of Civil Engineering and Management, 20(6), 778–794. https://doi.org/10.3846/13923730.2014.987693

Smarandache, F. (1998). Neutrosophy: Neutrosophic probability, set, and logic: Analytic synthesis & synthetic analysis. American Research Press.

Stankevičienė, J., & Nikanorova, M. (2020). Eco-innovation as a pillar for sustainable development of circular economy. Business: Theory and Practice, 21(2), 531–544. https://doi.org/10.3846/btp.2020.12963

Stanujkic, D., Zavadskas, E. K., Karabasevic, D., Smarandache, F., & Turskis, Z. (2017a). The use of the pivot pairwise relative criteria importance assessment method for determining the weights of criteria. Romanian Journal of Economic Forecasting, 20(4), 116–133.

Stanujkic, D., Zavadskas, E. K., Smarandache, F., Brauers, W. K. M., & Karabasevic, D. (2017b). A neutrosophic extension of the MULTI-MOORA method. Informatica, 28(1), 181–192. https://doi.org/10.15388/Informatica.2017.125

Stefano, N. M., Casarotto Filho, N., Vergara, L. G. L., & Rocha, R. U. G. (2015). COPRAS (Complex Proportional Assessment): state of the art research and its applications. IEEE Latin America Transactions, 13(12), 3899–3906. https://doi.org/10.1109/TLA.2015.7404925

Tamosaitiene, J. (2018). Comprehensive risk assessment model in construction on agile environment. International Journal of Structural and Con-struction Engineering, 12(3), 366–370.

Tamošaitienė, J., Bartkienė, L., & Vilutienė, T. (2010). The new development trend of operational research in civil engineering and sustainable development as a result of collaboration between German‐Lithuanian‐Polish scientific triangle. Journal of Business Economics and Manage-ment, 11(2), 316–340. https://doi.org/10.3846/jbem.2010.16

Tamošaitienė, J., Khosravi, M., Cristofaro, M., Chan, D. W., & Sarvari, H. (2021a). Identification and prioritization of critical risk factors of com-mercial and recreational complex building projects: A Delphi study using the TOPSIS method. Applied Sciences, 11(17), 7906. https://doi.org/10.3390/app11177906

Tamošaitienė, J., Sarvari, H., Cristofaro, M., & Chan, D. W. M. (2021b). Identifying and prioritizing the selection criteria of appropriate repair and maintenance methods for commercial buildings. International Journal of Strategic Property Management, 25(5), 413–431. https://doi.org/10.3846/ijspm.2021.15225

Thiel, T., & Mroz, T. (2001). Application of multi-criterion decision aid method in designing heating systems for museum buildings. Informatica, 12(1), 133–146.

Turskis, Z. (2008). Multi-attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of preferability technique. Technological and Economic Development of Economy, 14(2), 224–239. https://doi.org/10.3846/1392-8619.2008.14.224-239

Turskis, Z., Antuchevičiene, J., Keršuliene, V., & Gaidukas, G. (2019a). Hybrid group MCDM model to select the most effective alternative of the second runway of the airport. Symmetry, 11(6), 792. https://doi.org/10.3390/sym11060792

Turskis, Z., Daniūnas, A., Zavadskas, E. K., & Medzvieckas, J. (2016). Multicriteria evaluation of building foundation alternatives. Comput-er-Aided Civil and Infrastructure Engineering, 31(9), 717–729. https://doi.org/10.1111/mice.12202

Turskis, Z., Dzitac, S., Stankiuvienė, A., & Šukys, R. (2019b). A fuzzy group decision-making model for determining the most influential persons in the sustainable prevention of accidents in the construction SMEs. International Journal of Computers, Communications and Control, 14(1), 90–106. https://doi.org/10.15837/ijccc.2019.1.3364

Turskis, Z., Gajzler, M., & Dziadosz, A. (2012). Reliability, risk management, and contingency of construction processes and projects. Journal of Civil Engineering and Management, 18(2), 290–298. https://doi.org/10.3846/13923730.2012.672931

Turskis, Z., Goranin, N., Nurusheva, A., & Boranbayev, S. (2019c). A fuzzy WASPAS-based approach to determine critical information infra-structures of EU sustainable development. Sustainability, 11(2), 424. https://doi.org/10.3390/su11020424

Turskis, Z., Urbonas, K., & Daniunas, A. (2019d). A hybrid fuzzy group multi-criteria assessment of structural solutions of the symmetric frame alternatives. Symmetry, 11(2), 261. https://doi.org/10.3390/sym11020261

Turskis, Z., Zavadskas, E. K., & Peldschus, F. (2009). Multi-criteria optimization system for decision making in construction design and manage-ment. Inzinerine ekonomika-Engineering Economics, 1(61), 7–17.

Ustinovichius, L., Popov, V., Cepurnaite, J., Vilutienė, T., Samofalov, M., & Miedziałowski, C. (2018). BIM-based process management model for building design and refurbishment. Archives of Civil and Mechanical Engineering, 18(4), 1136–1149. https://doi.org/10.1016/j.acme.2018.02.004

Ustinovičius, L., & Kochin, D. (2003). Verbal analysis of the investment risk in construction. Journal of Business Economics and Management, 4(4), 228–234. https://doi.org/10.3846/16111699.2003.9636060

Ustinovičius, L., Rasiulis, R., Nazarko, L., Vilutienė, T., & Reizgevicius, M. (2015). Innovative research projects in the field of building lifecycle management. Procedia Engineering, 122, 166–171. https://doi.org/10.1016/j.proeng.2015.10.021

Vilutienė, T., & Ignatavičius, Č. (2018). Towards sustainable renovation: key performance indicators for quality monitoring. Sustainability, 10(6), 1840. https://doi.org/10.3390/su10061840

Vilutienė, T., Kalibatiene, D., Hosseini, M. R., Pellicer, E., & Zavadskas, E. K. (2019). Building information modeling (BIM) for structural engi-neering: a bibliometric analysis of the literature. Advances in Civil Engineering, 2019, 5290690. https://doi.org/10.1155/2019/5290690

Vilutienė, T., Kiaulakis, A., & Migilinskas, D. (2021). Assessing the performance of the BIM implementation process: a case study. Revista de La Construccion, 20(1), 26–36. https://doi.org/10.7764/RDLC.20.1.26

Vilutienė, T., Kumetaitis, G., Kiaulakis, A., & Kalibatas, D. (2020a). Assessing the sustainability of alternative structural solutions of a building: a case study. Buildings, 10(2), 36. https://doi.org/10.3390/buildings10020036

Vilutienė, T., Šarkienė, E., Šarka, V., & Kiaulakis, A. (2020b). BIM application in infrastructure projects. Baltic Journal of Road and Bridge Engi-neering, 15(3), 74–92. https://doi.org/10.7250/bjrbe.2020-15.485

Vilutienė, T., & Tamošaitienė, J. (2011). Significant scientific achievements – the result of 25 year of collaboration. Newsletter 2 of EWG ORSDCE.

Wagner, C., Zavadskas, E. K., & Rupprecht, L. (1985). Ergebnisse der Zusammenarbeit der Wissenschaftsbereiche Technologie der HAB und des VISI. Wissenschaftliche Zeitschrift Der HAB Weimar, 3B, 91–93.

Yazdani, M., Wen, Z., Liao, H., Banaitis, A., & Turskis, Z. (2019). A Grey Combined Compromise Solution (CoCoSo-G) method for supplier selection in construction management. Journal of Civil Engineering and Management, 25(8), 858–874. https://doi.org/10.3846/jcem.2019.11309

Zagorskas, J., & Turskis, Z. (2020). Location preferences of new pedestrian bridges based on multi-criteria decision-making and GIS-based estima-tion. The Baltic Journal of Road and Bridge Engineering, 15(2), 158–181. https://doi.org/10.7250/bjrbe.2020-15.478

Zavadskas, E. K. (1979). Osnovy optimizacii stroitel’nogo proizvodstva [Basics of optimization of construction production]. Vilnius.

Zavadskas, E. K. (1987). Kompleksnaja ocenka i vybor resursosberegajushhih reshenij v stroitel’stve [Complex estimation and choice of re-source-saving decisions in construction]. Mokslas.

Zavadskas, E. K. (1991). Sistemotehnicheskaja ocenka tehnologicheskih reshenij [System of estimation of technological solutions in building con-struction]. Ctrojizdat.

Zavadskas, E. K., Antucheviciene, J., & Turskis, Z. (2021a). Symmetric and asymmetric data in solution models. Symmetry, 13(6), 1045. https://doi.org/10.3390/sym13061045

Zavadskas, E. K., Antucheviciene, J., Turskis, Z., & Adeli, H. (2016). Hybrid multiple-criteria decision-making methods: a review of applications in engineering. Scientia Iranica, 23(1), 1–20. https://doi.org/10.24200/sci.2016.2093

Zavadskas, E. K., Antuchevičienė, J., Vilutienė, T., & Adeli, H. (2018). Sustainable decision-making in civil engineering, construction and building technology. Sustainability, 10(1), 14. https://doi.org/10.3390/su10010014

Zavadskas, E. K., Bausys, R., Kaklauskas, A., & Raslanas, S. (2019). Hedonic shopping rent valuation by one-to-one neuromarketing and neutro-sophic PROMETHEE method. Applied Soft Computing Journal, 85, 105832. https://doi.org/10.1016/j.asoc.2019.105832

Zavadskas, E. K., Baušys, R., & Lazauskas, M. (2015). Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 7(12), 15923–15936. https://doi.org/10.3390/su71215792

Zavadskas, E. K., Kaklauskas, A., Peldschus, F., & Turskis, Z. (2007). Multi-attribute assessment of road design solutions by using the COPRAS method. The Baltic Journal of Road and Bridge Engineering, 2(4), 195–203.

Zavadskas, E. K., Kaklauskas, A., & Vilutiene, T. (2009). Multicriteria evaluation of apartment blocks maintenance contractors: Lithuanian case study. International Journal of Strategic Property Management, 13(4), 319–338. https://doi.org/10.3846/1648-715X.2009.13.319-338

Zavadskas, E. K., Peldschus, F., & Kaklauskas, A. (1994). Multiple criteria evaluation of projects in construction. Technika.

Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and Eco-nomic Development of Economy, 17(2), 397–427. https://doi.org/10.3846/20294913.2011.593291

Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165–179. https://doi.org/10.3846/20294913.2014.892037

Zavadskas, E. K., Turskis, Z., Šliogerienė, J., & Vilutienė, T. (2021b). An integrated assessment of the municipal buildings’ use including sustaina-bility criteria. Sustainable Cities and Society, 67, 102708. https://doi.org/10.1016/j.scs.2021.102708

Zavadskas, E. K., Turskis, Z., & Tamošaitiene, J. (2010). Risk assessment of construction projects. Journal of Civil Engineering and Management, 16(1), 33–46. https://doi.org/10.3846/jcem.2010.03

Zavadskas, E. K., Ustinovichius, L., & Peldschus, F. (2003). Development of software for multiple criteria evaluation. Informatica, 14(2), 259–272. https://doi.org/10.15388/Informatica.2003.020

Zavadskas, E. K., Ustinovičius, L., & Turskis, Z. (2002). Levi 3.0 - multiple criteria evaluation program for construction solutions. Journal of Civil Engineering and Management, 8(3), 184–191. https://doi.org/10.1080/13923730.2002.10531275

Zhang, L., Wu, X., Ding, L., Skibniewski, M. J., & Lu, Y. (2016). BIM-based risk identification system in tunnel construction. Journal of Civil Engineering and Management, 22(4), 529–539. https://doi.org/10.3846/13923730.2015.1023348