{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:44:08Z","timestamp":1761597848801,"version":"3.41.2"},"reference-count":19,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2017,10,16]],"date-time":"2017-10-16T00:00:00Z","timestamp":1508112000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IR"],"published-print":{"date-parts":[[2017,10,16]]},"abstract":"\nPurpose<\/jats:title>\nThis paper aims to conduct a comprehensive fault tree analysis (FTA) on the critical components of industrial robots. This analysis is integrated with the reliability block diagram (RBD) approach to investigate the robot system reliability.<\/jats:p>\n<\/jats:sec>\n\nDesign\/methodology\/approach<\/jats:title>\nFor practical implementation, a particular autonomous guided vehicle (AGV) system was first modeled. Then, FTA was adopted to model the causes of failures, enabling the probability of success to be determined. In addition, RBD was used to simplify the complex system of the AGV for reliability evaluation purpose.<\/jats:p>\n<\/jats:sec>\n\nFindings<\/jats:title>\nHazard decision tree (HDT) was configured to compute the hazards of each component and the whole AGV robot system. Through this research, a promising technical approach was established, allowing decision-makers to identify the critical components of AGVs along with their crucial hazard phases at the design stage.<\/jats:p>\n<\/jats:sec>\n\nOriginality\/value<\/jats:title>\nAs complex systems have become global and essential in today\u2019s society, their reliable design and determination of their availability have turned into very important tasks for managers and engineers. Industrial robots are examples of these complex systems that are being increasingly used for intelligent transportation, production and distribution of materials in warehouses and automated production lines.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ir-06-2017-0103","type":"journal-article","created":{"date-parts":[[2017,8,17]],"date-time":"2017-08-17T19:10:03Z","timestamp":1502997003000},"page":"754-764","source":"Crossref","is-referenced-by-count":26,"title":["Integration of fault tree analysis, reliability block diagram and hazard decision tree for industrial robot reliability evaluation"],"prefix":"10.1108","volume":"44","author":[{"given":"Hamed","family":"Fazlollahtabar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seyed Taghi","family":"Akhavan Niaki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"volume-title":"Reliability Evaluation of Engineering Systems: Concepts and Techniques","year":"1983","key":"key2020120509460768200_ref001"},{"issue":"3","key":"key2020120509460768200_ref002","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1108\/13552510210439784","article-title":"Robot systems reliability and safety: a review","volume":"8","year":"2002","journal-title":"Journal of Quality in Maintenance Engineering"},{"first-page":"23","volume-title":"An Introduction to Reliability and Maintainability Engineering","year":"1997","key":"key2020120509460768200_ref003"},{"key":"key2020120509460768200_ref004","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.ress.2014.11.004","article-title":"Integrated Markov-Neural reliability computation method: a case for multiple automated guided vehicle system","volume":"135","year":"2015","journal-title":"Reliability Engineering & System Safety"},{"issue":"4","key":"key2020120509460768200_ref005","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1080\/00401706.2013.804441","article-title":"Bayesian methods for estimating system reliability using heterogeneous multilevel information","volume":"55","year":"2013","journal-title":"Technometrics"},{"volume-title":"Maintenance, Replacement and Reliability","year":"1998","key":"key2020120509460768200_ref006"},{"first-page":"8","volume-title":"Reliability in Engineering Design","year":"1977","key":"key2020120509460768200_ref007"},{"issue":"2","key":"key2020120509460768200_ref008","first-page":"109","article-title":"Bayesian survival analysis in reliability for complex system with a cure fraction","volume":"7","year":"2011","journal-title":"International Journal of Performability Engineering"},{"year":"1993","key":"key2020120509460768200_ref009","article-title":"Navigation and control breakthrough for automated mobility"},{"issue":"20","key":"key2020120509460768200_ref010","first-page":"12","article-title":"Simultaneous fault diagnosis for robot manipulators with actuator and sensor faults","volume":"366","year":"2016","journal-title":"Information Sciences"},{"edition":"3rd ed.","volume-title":"Practical Reliability Engineering","year":"1991","key":"key2020120509460768200_ref011"},{"issue":"2","key":"key2020120509460768200_ref012","first-page":"25","article-title":"Forearm of industrial robot reliability analysis based on response surface & stochastic finite element method","volume":"2","year":"2017","journal-title":"International Journal of Civil Engineering and Machinery Manufacture"},{"year":"2007","key":"key2020120509460768200_ref013","article-title":"A Review of accident modelling approaches for complex socio-technical systems"},{"volume-title":"Applied Probability Models with Optimisation Applications","year":"1970","key":"key2020120509460768200_ref014"},{"issue":"1","key":"key2020120509460768200_ref015","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.asoc.2011.08.031","article-title":"Reliability analysis of complex multi-robotic system using GA and fuzzy methodology","volume":"12","year":"2012","journal-title":"Applied Soft Computing"},{"key":"key2020120509460768200_ref016","first-page":"1","article-title":"Complex system reliability: a graph theory approach","volume":"16","year":"2014","journal-title":"The Mathematica Journal"},{"key":"key2020120509460768200_ref017","first-page":"195","article-title":"Bayesian networks for reliability analysis of complex systems","volume-title":"Lecture Notes in Computer Science, Progress in Artificial Intelligence\u2014IBERAMIA 98","year":"1998"},{"year":"2001","key":"key2020120509460768200_ref018","article-title":"Computing the reliability of complex systems"},{"key":"key2020120509460768200_ref019","first-page":"1","article-title":"Reliability modelling of automated guided vehicles by the use of failure modes effects and criticality analysis, and fault tree analysis","volume-title":"5th Student Conference on Operational Research (SCOR 2016)","year":"2016"}],"container-title":["Industrial Robot: An International Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IR-06-2017-0103\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IR-06-2017-0103\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:39:17Z","timestamp":1753393157000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/ir\/article\/44\/6\/754-764\/184906"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,16]]},"references-count":19,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2017,10,16]]}},"alternative-id":["10.1108\/IR-06-2017-0103"],"URL":"https:\/\/doi.org\/10.1108\/ir-06-2017-0103","relation":{},"ISSN":["0143-991X"],"issn-type":[{"type":"print","value":"0143-991X"}],"subject":[],"published":{"date-parts":[[2017,10,16]]}}}