{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T03:21:01Z","timestamp":1789442461019,"version":"build-2803163510"},"reference-count":33,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2015,6,3]],"date-time":"2015-06-03T00:00:00Z","timestamp":1433289600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>In the paper, we address Bayesian sensitivity issues when integrating experts\u2019 judgments with available historical data in a case study about strategies for the preventive maintenance of low-pressure cast iron pipelines in an urban gas distribution network. We are interested in replacement priorities, as determined by the failure rates of pipelines deployed under different conditions. We relax the assumptions, made in previous papers, about the prior distributions on the failure rates and study changes in replacement priorities under different choices of generalized moment-constrained classes of priors. We focus on the set of non-dominated actions, and among them, we propose the least sensitive action as the optimal choice to rank different classes of pipelines, providing a sound approach to the sensitivity problem. Moreover, we are also interested in determining which classes have a failure rate exceeding a given acceptable value, considered as the threshold determining no need for replacement. Graphical tools are introduced to help decisionmakers to determine if pipelines are to be replaced and the corresponding priorities.<\/jats:p>","DOI":"10.3390\/e17063656","type":"journal-article","created":{"date-parts":[[2015,6,3]],"date-time":"2015-06-03T11:29:39Z","timestamp":1433330979000},"page":"3656-3678","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Robust Bayesian Approach to an Optimal Replacement Policy for Gas Pipelines"],"prefix":"10.3390","volume":"17","author":[{"given":"Jos\u00e9","family":"Arias-Nicol\u00e1s","sequence":"first","affiliation":[{"name":"Departamento de Matematicas, Facultad de Estudios Empresariales y Turismo, Universidad de Extremadura, Avda. Universidad 10003, C\u00e1ceres, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4028-9668","authenticated-orcid":false,"given":"Jacinto","family":"Mart\u00edn","sequence":"additional","affiliation":[{"name":"Departamento de Matematicas, Facultad de Ciencias, Universidad de Extremadura, Avda. de Elvas 06071, Badajoz, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7655-6254","authenticated-orcid":false,"given":"Fabrizio","family":"Ruggeri","sequence":"additional","affiliation":[{"name":"Istituto di Matematica Applicata e Tecnologie Informatiche, Consiglio Nazionale delle Ricerche, Via Bassini 15, I-20133, Milano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfonso","family":"Su\u00e1rez-Llorens","sequence":"additional","affiliation":[{"name":"Departamento de Estadistica, Facultad de Ciencias, Universidad de C\u00e1diz, Avda. Pol\u00edgono R\u00edo San Pedro 11510, Puerto Real (C\u00e1diz), Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2015,6,3]]},"reference":[{"key":"ref_1","unstructured":"Lydersen, S., Hansen, G.K., and Sandtorv, H.A. (1998, January 16\u201319). On the use of a robust methodology for the assessment of the probability of failure in an urban gas pipe network. Trondheim, Norway."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/S0951-8320(99)00070-8","article-title":"Using AHP in determining prior distributions on gas pipeline failures in a robust Bayesian approach","volume":"67","author":"Cagno","year":"2000","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_3","unstructured":"Bacon, J.F. (1988). 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