A two‐stage fuzzy approach for Industry 4.0 project portfolio selection within criteria and project interdependencies context
Industry 4.0, the new vision of our age has forced companies to transform their processes. In the process of transition to Industry 4.0, one of the most crucial success factors is to select the project portfolio that best fits their objectives. The uncertainty included in the projects, the interproj...
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| Vydáno v: | Journal of multi-criteria decision analysis Ročník 27; číslo 1-2; s. 65 - 83 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Chichester
Wiley Periodicals Inc
01.01.2020
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| ISSN: | 1057-9214, 1099-1360 |
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| Abstract | Industry 4.0, the new vision of our age has forced companies to transform their processes. In the process of transition to Industry 4.0, one of the most crucial success factors is to select the project portfolio that best fits their objectives. The uncertainty included in the projects, the interproject priority, and various interdependence relations, interactions between project evaluation criteria, decision makers with different perspectives, and preferences make Industry 4.0 project portfolio selection decision considerably complicated. In this study, a two‐stage fuzzy approach is proposed to address this complex problem. In the first stage of the approach, the main criteria and subcriteria to be used in evaluating the Industry 4.0 projects have been determined based on the literature review and expert opinions. Following this, a network structure representing outer and inner dependencies has been formed, and the priority weights of the criteria have been obtained by taking into consideration these dependencies. Then, each of the project alternatives has been evaluated under subcriteria, and desirability indexes of project alternatives have been calculated. Fuzzy analytic network process has been applied in this stage. In the second stage, fuzzy multi‐objective nonlinear programming has been used to select a project portfolio. In the application of the first stage of the proposed methodology, experts from three firms, which have made significant progress in the Industry 4.0 implementation process, are the decision makers. In the application of the second stage, hypothetically created project alternatives and their dataset have been used. |
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| AbstractList | Industry 4.0, the new vision of our age has forced companies to transform their processes. In the process of transition to Industry 4.0, one of the most crucial success factors is to select the project portfolio that best fits their objectives. The uncertainty included in the projects, the interproject priority, and various interdependence relations, interactions between project evaluation criteria, decision makers with different perspectives, and preferences make Industry 4.0 project portfolio selection decision considerably complicated. In this study, a two‐stage fuzzy approach is proposed to address this complex problem. In the first stage of the approach, the main criteria and subcriteria to be used in evaluating the Industry 4.0 projects have been determined based on the literature review and expert opinions. Following this, a network structure representing outer and inner dependencies has been formed, and the priority weights of the criteria have been obtained by taking into consideration these dependencies. Then, each of the project alternatives has been evaluated under subcriteria, and desirability indexes of project alternatives have been calculated. Fuzzy analytic network process has been applied in this stage. In the second stage, fuzzy multi‐objective nonlinear programming has been used to select a project portfolio. In the application of the first stage of the proposed methodology, experts from three firms, which have made significant progress in the Industry 4.0 implementation process, are the decision makers. In the application of the second stage, hypothetically created project alternatives and their dataset have been used. |
| Author | Demircan Keskin, Fatma |
| Author_xml | – sequence: 1 givenname: Fatma orcidid: 0000-0002-7000-4731 surname: Demircan Keskin fullname: Demircan Keskin, Fatma email: fatma.demircan.keskin@ege.edu.tr organization: Ege University |
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| Cites_doi | 10.1061/(ASCE)0733-9364(2005)131:4(459) 10.1016/j.ijpe.2004.09.011 10.1016/j.eswa.2007.05.014 10.1109/IECON.2017.8216591 10.1016/j.cie.2008.06.011 10.1109/3468.725355 10.1016/j.ijproman.2010.06.007 10.1145/299513.299722 10.1016/0165-0114(87)90111-4 10.1023/A:1023382514182 10.1111/j.1540-5915.1989.tb01887.x 10.1109/17.985748 10.1016/j.eswa.2010.02.103 10.1016/j.eswa.2010.06.057 10.1016/j.rser.2010.01.022 10.1016/j.ijproman.2005.02.003 10.1016/j.eswa.2015.06.057 10.1016/j.eswa.2010.06.081 10.1016/j.fss.2007.08.010 10.1002/pmj.21452 10.1007/978-3-319-57870-5_6 10.1016/j.fss.2006.01.014 10.1016/S0305-0548(99)00057-X 10.3390/su9101918 10.1016/j.camwa.2011.09.036 10.1080/00207540500219031 10.1016/S0378-7206(99)00009-9 10.1016/j.eswa.2011.08.162 10.1016/j.ijproman.2013.03.005 10.1016/S0167-9236(00)00065-8 10.1016/S0263-7863(98)00032-5 10.1016/j.technovation.2004.07.017 |
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| Title | A two‐stage fuzzy approach for Industry 4.0 project portfolio selection within criteria and project interdependencies context |
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