<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>e2c9ea81-8c66-4d9e-84d3-776ae910446b</doi_batch_id><timestamp>20240607072352293</timestamp><depositor><depositor_name>wseas:wseas</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>DESIGN, CONSTRUCTION, MAINTENANCE</full_title><issn media_type="electronic">2732-9984</issn><issn media_type="print">2944-912X</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/232022</doi><resource>https://wseas.com/journals/dcm/</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>3</month><day>20</day><year>2024</year></publication_date><publication_date media_type="print"><month>3</month><day>20</day><year>2024</year></publication_date><journal_volume><volume>4</volume><doi_data><doi>10.37394/232022.2024.4</doi><resource>https://wseas.com/journals/dcm/2024.php</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>Optimizing Failure Modes and Effects Analysis with Fuzzy Multiattribute Grey Theory and DEA</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Safiye</given_name><surname>Turgay</surname><affiliation>Department of Industrial Engineering Sakarya University 54187, Esentepe Campus Serdivan-Sakarya, TURKEY</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>The Failure Modes and Effects Analysis (FMEA) is one of the major approaches utilized for the risk analysis and risk management in many fields of human activity. The usual FMEA tools are not effective in dealing with complex systems institutional concentration of uncertainty over, and do not deliver the optimal solutions. To avoid this obstacle, the current study will fuse the successful managerial coupling of Fuzzy Multiattribute Grey Theory(FMGT) and Data Envelopment Analysis(DEA) to optimize the sequencing of FMEA process. The main strength of FMGT lies in its ability to develop/ construct an imprecise information and continual attributes which are related to failure modes and their influence on the system, while cost analysis done in DEA offers the idea of efficiency solutions that are optimal. By blending both control strategies of FMEGT and DEA within an integrated framework, FMEA analysis is able to reach greater effectiveness. Serving as a case study we do so in a series of specific tests and simulations, the approach proposed successfully analyzes critical failure modes, risk factors, and resource allocation. The results indicate that the suggested integrated way acts as a facilitator of decision-making by minimizing risk and making system wise reliability in complex industrial plants.</jats:p></jats:abstract><publication_date media_type="online"><month>6</month><day>7</day><year>2024</year></publication_date><publication_date media_type="print"><month>6</month><day>7</day><year>2024</year></publication_date><pages><first_page>7</first_page><last_page>18</last_page></pages><publisher_item><item_number item_number_type="article_number">2</item_number></publisher_item><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2024-06-07"/><ai:license_ref applies_to="am" start_date="2024-06-07">https://wseas.com/journals/dcm/2024/a04dcm-002(2024).pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/232022.2024.4.2</doi><resource>https://wseas.com/journals/dcm/2024/a04dcm-002(2024).pdf</resource></doi_data><citation_list><citation key="ref0"><doi>10.1016/j.ejor.2015.05.032</doi><unstructured_citation>Constantin Zopounidis, C., Galariotis, E., Doumpos, M., Sarri, S., Andriosopoulos, K., Multiple criteria decision aiding for finance: An updated bibliographic survey, European Journal of Operational Research, Volume 247, Issue 2, 2015, Pages 339-348. </unstructured_citation></citation><citation key="ref1"><doi>10.1016/j.apenergy.2020.114901</doi><unstructured_citation>Zeng, Y., Guo, W., Wang, H., Zhang, F., A two-stage evaluation and optimization method for renewable energy development based on data envelopment analysis, Applied Energy, Volume 262, 2020, 114363 </unstructured_citation></citation><citation key="ref2"><doi>10.1016/j.camwa.2010.04.043</doi><unstructured_citation>Wu, D.D., Olson, D.L., Fuzzy multiattribute grey related analysis using DEA, Computers &amp; Mathematics with Applications, Volume 60, Issue 1, 2010, Pages 166-174 </unstructured_citation></citation><citation key="ref3"><doi>10.1016/j.eswa.2012.12.040</doi><unstructured_citation>Chai, J., Liu, J.N.K., Ngai, E.W.T., Application of decision-making techniques in supplier selection: A systematic review of literature, Expert Systems with Applications, Volume 40, Issue 10, 2013, Pages 3872-3885. </unstructured_citation></citation><citation key="ref4"><unstructured_citation>Chang, K.H., Generalized multi-attribute failure mode analysis, Neurocomputing, Volume 175, Part A,2016,Pages 90-100, </unstructured_citation></citation><citation key="ref5"><doi>10.23977/ieim.2023.061013</doi><unstructured_citation>Turgay, S., Dinçer, E., Kazan, S., Navigating Uncertainty: A Comprehensive Approach to Risk Management in R&amp;D Projects with the Gravity Search Algorithm Based MCDM. 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