IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v157y2018icp278-296.html
   My bibliography  Save this article

Multi-criteria decision support system with negotiation process for vehicle technology selection

Author

Listed:
  • Al-Alawi, Baha M.
  • Coker, Alexander D.

Abstract

Decision Makers (DMs) in vehicle technology transportation planning, seek to understand the impact of a given technology on energy use and GHG emissions. There are decision making processes to evaluate technology solutions to meet policy maker requirements, others that evaluate technologies to satisfy consumer requirements, and others that evaluate technologies that provide the automaker with a profit. However, there does not appear to be a decision making process that incorporates all such evaluations into one model. The ideal process should incorporate economic evaluation, market diffusion and government regulations. The aim of this paper is to try and help get closer to such an ideal process, by developing an interactive Decision Support System (DSS), that incorporates as much pertinent information and modeling results published in the available literature as possible. The DSS will have all DM inputs incorporated and generate a ranking of technologies and/or scenario alternatives. The generated results will initiate a negotiation process that will help DMs understand the tradeoffs between different key parameters. Thus, the tool will enable a qualitative and quantitative comparison that provides important information to DMs, to systematically define preferred vehicle design and/or technology scenario to meet the requirements of policy, society, industry and consumers.

Suggested Citation

  • Al-Alawi, Baha M. & Coker, Alexander D., 2018. "Multi-criteria decision support system with negotiation process for vehicle technology selection," Energy, Elsevier, vol. 157(C), pages 278-296.
    • Handle: RePEc:eee:energy:v:157:y:2018:i:c:p:278-296
    DOI: 10.1016/j.energy.2018.05.142
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218309769
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.05.142?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cannemi, Marco & García-Melón, Mónica & Aragonés-Beltrán, Pablo & Gómez-Navarro, Tomás, 2014. "Modeling decision making as a support tool for policy making on renewable energy development," Energy Policy, Elsevier, vol. 67(C), pages 127-137.
    2. Al-Alawi, Baha M. & Bradley, Thomas H., 2014. "Analysis of corporate average fuel economy regulation compliance scenarios inclusive of plug in hybrid vehicles," Applied Energy, Elsevier, vol. 113(C), pages 1323-1337.
    3. Zouros, N. & Contaxis, G. C. & Kabouris, J., 2005. "Decision support tool to evaluate alternative policies regulating wind integration into autonomous energy systems," Energy Policy, Elsevier, vol. 33(12), pages 1541-1555, August.
    4. Safaei Mohamadabadi, H. & Tichkowsky, G. & Kumar, A., 2009. "Development of a multi-criteria assessment model for ranking of renewable and non-renewable transportation fuel vehicles," Energy, Elsevier, vol. 34(1), pages 112-125.
    5. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    6. Henze, Gregor P. & Pavlak, Gregory S. & Florita, Anthony R. & Dodier, Robert H. & Hirsch, Adam I., 2015. "An energy signal tool for decision support in building energy systems," Applied Energy, Elsevier, vol. 138(C), pages 51-70.
    7. Shakouri, Mahmoud & Lee, Hyun Woo & Choi, Kunhee, 2015. "PACPIM: New decision-support model of optimized portfolio analysis for community-based photovoltaic investment," Applied Energy, Elsevier, vol. 156(C), pages 607-617.
    8. Jacquet-Lagreze, Eric & Shakun, Melvin F., 1984. "Decision support systems for semi-structured buying decisions," European Journal of Operational Research, Elsevier, vol. 16(1), pages 48-58, April.
    9. Efraim Turban & Ting-Peng Liang & Shelly P. J. Wu, 2011. "A Framework for Adopting Collaboration 2.0 Tools for Virtual Group Decision Making," Group Decision and Negotiation, Springer, vol. 20(2), pages 137-154, March.
    10. Yu, Mengmeng & Lu, Renzhi & Hong, Seung Ho, 2016. "A real-time decision model for industrial load management in a smart grid," Applied Energy, Elsevier, vol. 183(C), pages 1488-1497.
    11. Espinasse, Bernard & Picolet, Guy & Chouraqui, Eugene, 1997. "Negotiation support systems: A multi-criteria and multi-agent approach," European Journal of Operational Research, Elsevier, vol. 103(2), pages 389-409, December.
    12. Torrent-Fontbona, F. & López, B., 2016. "Decision support for grid-connected renewable energy generators planning," Energy, Elsevier, vol. 115(P1), pages 577-590.
    13. Lizhong Wang & Liping Fang & Keith W. Hipel, 2011. "Negotiation over Costs and Benefits in Brownfield Redevelopment," Group Decision and Negotiation, Springer, vol. 20(4), pages 509-524, July.
    14. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
    15. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Total cost of ownership, payback, and consumer preference modeling of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 103(C), pages 488-506.
    16. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1986. "How to select and how to rank projects: the Prométhée method," ULB Institutional Repository 2013/9307, ULB -- Universite Libre de Bruxelles.
    17. Maxime Morge & Paolo Mancarella, 2014. "Arguing over Goals for Negotiation: Adopting an Assumption-Based Argumentation Decision Support System," Group Decision and Negotiation, Springer, vol. 23(5), pages 979-1012, September.
    18. Brans, J. P. & Vincke, Ph. & Mareschal, B., 1986. "How to select and how to rank projects: The method," European Journal of Operational Research, Elsevier, vol. 24(2), pages 228-238, February.
    19. Yedla, Sudhakar & Shrestha, Ram M., 2003. "Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(8), pages 717-729, October.
    20. Patricia Jaramillo & Ricardo Smith & JoaquÍn Andréu, 2005. "Multi-Decision-Makers Equalizer: A Multiobjective Decision Support System for Multiple Decision-Makers," Annals of Operations Research, Springer, vol. 138(1), pages 97-111, September.
    21. Schillings, Christoph & Wanderer, Thomas & Cameron, Lachlan & van der Wal, Jan Tjalling & Jacquemin, Jerome & Veum, Karina, 2012. "A decision support system for assessing offshore wind energy potential in the North Sea," Energy Policy, Elsevier, vol. 49(C), pages 541-551.
    22. Dumortier, Jerome & Siddiki, Saba & Carley, Sanya & Cisney, Joshua & Krause, Rachel M. & Lane, Bradley W. & Rupp, John A. & Graham, John D., 2015. "Effects of providing total cost of ownership information on consumers’ intent to purchase a hybrid or plug-in electric vehicle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 71-86.
    23. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    24. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mustafa Hamurcu & Tamer Eren, 2023. "Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study," Environment Systems and Decisions, Springer, vol. 43(2), pages 211-231, June.
    2. Wang, Sinan & Chen, Kangda & Zhao, Fuquan & Hao, Han, 2019. "Technology pathways for complying with Corporate Average Fuel Consumption regulations up to 2030: A case study of China," Applied Energy, Elsevier, vol. 241(C), pages 257-277.
    3. Evangelos-Nikolaos D. Madias & Lambros T. Doulos & Panagiotis A. Kontaxis & Frangiskos V. Topalis, 2022. "Multicriteria decision aid analysis for the optimum performance of an ambient light sensor: methodology and case study," Operational Research, Springer, vol. 22(2), pages 1333-1361, April.
    4. Evangelos-Nikolaos D. Madias & Lambros T. Doulos & Panagiotis A. Kontaxis & Frangiskos V. Topalis, 2021. "A decision support system for techno-economic evaluation of indoor lighting systems with LED luminaires," Operational Research, Springer, vol. 21(2), pages 1403-1422, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lee, Yongseung & Kim, Chongman & Shin, Juneseuk, 2016. "A hybrid electric vehicle market penetration model to identify the best policy mix: A consumer ownership cycle approach," Applied Energy, Elsevier, vol. 184(C), pages 438-449.
    2. Neofytou, H. & Nikas, A. & Doukas, H., 2020. "Sustainable energy transition readiness: A multicriteria assessment index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    3. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    4. Denys Yemshanov & Frank H. Koch & Yakov Ben‐Haim & Marla Downing & Frank Sapio & Marty Siltanen, 2013. "A New Multicriteria Risk Mapping Approach Based on a Multiattribute Frontier Concept," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1694-1709, September.
    5. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    6. Mulliner, Emma & Smallbone, Kieran & Maliene, Vida, 2013. "An assessment of sustainable housing affordability using a multiple criteria decision making method," Omega, Elsevier, vol. 41(2), pages 270-279.
    7. Marco Rogna, 2019. "A First-Phase Screening Device for Site Selection of Large-Scale Solar Plants with an Application to Italy," BEMPS - Bozen Economics & Management Paper Series BEMPS57, Faculty of Economics and Management at the Free University of Bozen.
    8. Abbas Roozbahani & Ebrahim Ebrahimi & Mohammad Ebrahim Banihabib, 2018. "A Framework for Ground Water Management Based on Bayesian Network and MCDM Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4985-5005, December.
    9. A. Nureize & J. Watada & S. Wang, 2014. "Fuzzy random regression based multi-attribute evaluation and its application to oil palm fruit grading," Annals of Operations Research, Springer, vol. 219(1), pages 299-315, August.
    10. Ormerod, Richard J. & Ulrich, Werner, 2013. "Operational research and ethics: A literature review," European Journal of Operational Research, Elsevier, vol. 228(2), pages 291-307.
    11. Mohammad Rahman & Lena Jaumann & Nils Lerche & Fabian Renatus & Ann Buchs & Rudolf Gade & Jutta Geldermann & Martin Sauter, 2015. "Selection of the Best Inland Waterway Structure: A Multicriteria Decision Analysis Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2733-2749, June.
    12. Martina Kuncova & Jana Seknickova, 2022. "Two-stage weighted PROMETHEE II with results’ visualization," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 547-571, June.
    13. Yunna Wu & Meng Yang & Haobo Zhang & Kaifeng Chen & Yang Wang, 2016. "Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method," Energies, MDPI, vol. 9(3), pages 1-20, March.
    14. Luis C. Dias & Carolina Passeira & João Malça & Fausto Freire, 2022. "Integrating life-cycle assessment and multi-criteria decision analysis to compare alternative biodiesel chains," Annals of Operations Research, Springer, vol. 312(2), pages 1359-1374, May.
    15. Makena Coffman & Paul Bernstein & Sherilyn Wee, 2017. "Electric vehicles revisited: a review of factors that affect adoption," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 79-93, January.
    16. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "Sigma-Mu efficiency analysis: A methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 278(3), pages 942-960.
    17. Rogna, Marco, 2020. "A first-phase screening method for site selection of large-scale solar plants with an application to Italy," Land Use Policy, Elsevier, vol. 99(C).
    18. Rahimdel, Mohammad Javad & Noferesti, Hossein, 2020. "Investment preferences of Iran's mineral extraction sector with a focus on the productivity of the energy consumption, water and labor force," Resources Policy, Elsevier, vol. 67(C).
    19. Hassan, Mohammad Nurul & Hawas, Yaser E. & Ahmed, Kamran, 2013. "A multi-dimensional framework for evaluating the transit service performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 47-61.
    20. Ruiz, Francisco & El Gibari, Samira & Cabello, José M. & Gómez, Trinidad, 2020. "MRP-WSCI: Multiple reference point based weak and strong composite indicators," Omega, Elsevier, vol. 95(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:157:y:2018:i:c:p:278-296. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.