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However, there are still very few such applications, while using existing general-purpose GenAI services is inconvenient and prone to data leakage risks. To solve these problems, this study established a GenAI job scheduling system. By hosting the GenAI job scheduling system locally, schedulers can avoid the leakage of order- or recipe-related information that may occur when uploading to the cloud-based GenAI service. In the GenAI job scheduling system, a user interface is designed for users to enter queries in natural language. The user\u2019s query is then analyzed to extract his\/her requirements related to the scheduling task, thereby building an extended three-field notation (ETFN) of the scheduling problem. A customized genetic algorithm (GA) is generated to help solve the mathematical programming (MP) model corresponding to the ETFN, thereby updating invalid code or adding new code to the basic GA application. The effectiveness of the GenAI job scheduling system has been tested in a flexible job shop case.<\/jats:p>","DOI":"10.1017\/s0890060425100152","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T13:33:21Z","timestamp":1762176801000},"update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":1,"title":["GenAI job scheduling system for solving a flexible job shop scheduling problem"],"prefix":"10.1017","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5608-5176","authenticated-orcid":false,"given":"Toly","family":"Chen","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00se2k293","id-type":"ROR","asserted-by":"publisher"}],"name":"National Yang Ming Chiao Tung University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min-Chi","family":"Chiu","sequence":"additional","affiliation":[{"name":"National Chin-Yi University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hsin-Chieh","family":"Wu","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/04xwksx09","id-type":"ROR","asserted-by":"publisher"}],"name":"Chaoyang University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2025,11,3]]},"reference":[{"key":"S0890060425100152_r13","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2024.07.049"},{"key":"S0890060425100152_r53","first-page":"93","article-title":"A review of explainable artificial intelligence in manufacturing","author":"Sofianidis","year":"2021","journal-title":"Trusted Artificial Intelligence in Manufacturing"},{"key":"S0890060425100152_r27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124603"},{"key":"S0890060425100152_r22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71805-5_59"},{"key":"S0890060425100152_r24","unstructured":"Jacob, BL (1995) Composing with genetic algorithms. 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