{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T07:40:40Z","timestamp":1778830840268,"version":"3.51.4"},"reference-count":45,"publisher":"Emerald","issue":"9","license":[{"start":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T00:00:00Z","timestamp":1570406400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2019,10,7]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to identify critical equipment by dynamically ranking them in interval-valued intuitionistic fuzzy (IVIF) circumstances. Accordingly, the main drawbacks of the conventional failure mode and effects analysis (FMEA) are eliminated. To this end, the authors have presented the interval-valued intuitionistic fuzzy condition-based dynamic weighing method (IVIF-CBDW).<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>To realize the objective, the authors used the IVIF power weight Heronian aggregation operator to integrate the data extracted from the experts\u2019 opinions. Moreover, the multi-attributive border approximation area comparison (MABAC) method is applied to rank the choices and the IVIF-CBDW method to create dynamic weights appropriate to the conditions of each equipment\/failure mode. The authors proposed a robust FMEA model where the main drawbacks of the conventional risk prioritization number were eliminated.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>To prove its applicability, this model was used in a case study to rank the equipment of a HL5000 crane barge. Finally, the results are compared with the traditional FMEA methods. It is indicated that the proposed model is much more flexible and provides more rational results.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>In this paper, the authors have improved and used the IVIF power weight Heronian aggregation operator to integrate information. Furthermore, to dynamically weigh each equipment (failure mode), they presented the IVIF-CBDW method to determine the weight of each equipment (failure mode) based on its equipment conditions in the O, S and D criteria and provide the basis for the calculation. IVIF-CBDW method is presented in this study for the first time. Moreover, the MABAC method has been performed, to rank the equipment and failure mode. To analyze the information, the authors encoded the model presented in the robust MATLAB software and used it in a real sample of the HL5000 crane barge. Finally, to evaluate the reliability of the model presented in the risk ranking and its rationality, this model was compared with the conventional FMEA, fuzzy TOPSIS method, the method of Liu and the modified method of Liu.<\/jats:p><\/jats:sec>","DOI":"10.1108\/k-08-2018-0417","type":"journal-article","created":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T10:31:20Z","timestamp":1549449080000},"page":"1913-1941","source":"Crossref","is-referenced-by-count":31,"title":["Dynamic prioritization of equipment and critical failure modes"],"prefix":"10.1108","volume":"48","author":[{"given":"Mohamadreza","family":"Mahmoudi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hannan","family":"Amoozad Mahdiraji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmad","family":"Jafarnejad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hossein","family":"Safari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2019092314475512300_ref001","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.jpowsour.2017.08.028","article-title":"Fuzzy-based failure mode and effect analysis (FMEA) of a hybrid molten carbonate fuel cell (MCFC) and gas turbine system for marine propulsion","volume":"364","year":"2017","journal-title":"Journal of Power Sources"},{"issue":"1","key":"key2019092314475512300_ref002","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","article-title":"Intuitionistic fuzzy sets","volume":"20","year":"1986","journal-title":"Fuzzy Sets and Systems"},{"key":"key2019092314475512300_ref003","first-page":"71","volume-title":"Remark on intuitionistic fuzzy expert systems","year":"1994"},{"issue":"3","key":"key2019092314475512300_ref004","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/0165-0114(89)90205-4","article-title":"Interval valued intuitionistic fuzzy sets","volume":"31","year":"1989","journal-title":"Fuzzy Sets and Systems"},{"issue":"4","key":"key2019092314475512300_ref005","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.ress.2008.09.009","article-title":"An integrated structural framework to cost-based FMECA: the priority-cost FMECA","volume":"94","year":"2009","journal-title":"Reliability Engineering and System Safety"},{"issue":"2","key":"key2019092314475512300_ref006","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/0165-0114(94)00339-9","article-title":"Measures of similarity between vague sets","volume":"74","year":"1995","journal-title":"Fuzzy Sets and Systems"},{"key":"key2019092314475512300_ref007","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1016\/j.proeng.2016.04.069","article-title":"Risk-based maintenance management of US public school facilities","volume":"145","year":"2016","journal-title":"Procedia Engineering"},{"key":"key2019092314475512300_ref008","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.apor.2016.05.008","article-title":"An integration of multi criteria decision making techniques with adelay time model for determination of inspection intervals for marine machinery systems","volume":"59","year":"2016","journal-title":"Applied Ocean Research"},{"key":"key2019092314475512300_ref009","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.ssci.2017.10.018","article-title":"Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment","volume":"102","year":"2018","journal-title":"Safety Science"},{"key":"key2019092314475512300_ref010","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1016\/j.asoc.2015.10.040","article-title":"A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems","volume":"38","year":"2016","journal-title":"Applied Soft Computing"},{"key":"key2019092314475512300_ref011","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.jlp.2015.03.013","article-title":"Safety study of an LNG regasification plant using an FMECA and HAZOP integrated methodology","volume":"35","year":"2015","journal-title":"Journal of Loss Prevention in the Process Industries"},{"key":"key2019092314475512300_ref012","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.ress.2017.06.014","article-title":"New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method","volume":"167","year":"2017","journal-title":"Reliability Engineering and System Safety"},{"key":"key2019092314475512300_ref013","doi-asserted-by":"crossref","unstructured":"Kmenta, S., Fitch, P. and Ishii, K. 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