{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T08:18:48Z","timestamp":1761293928107,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,4,18]],"date-time":"2019-04-18T00:00:00Z","timestamp":1555545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,4,18]]},"DOI":"10.1145\/3299815.3314451","type":"proceedings-article","created":{"date-parts":[[2019,5,7]],"date-time":"2019-05-07T12:16:01Z","timestamp":1557231361000},"page":"168-171","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Applying Reinforcement Learning to Plan Manufacturing Material Handling Part 1"],"prefix":"10.1145","author":[{"given":"Swetha","family":"Govindaiah","sequence":"first","affiliation":[{"name":"Computer Science, University of Alabama in Huntsville, Huntsville, AL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikel D.","family":"Petty","sequence":"additional","affiliation":[{"name":"Computer Science, University of Alabama in Huntsville, Huntsville, AL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,4,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3299815.3314427"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2011.575095"},{"key":"e_1_3_2_1_3_1","unstructured":"J. Banks J. S. Carson B. L. Nelson and D. M. Nicol. 2010. Discrete Event System Simulation (5th. ed.). Prentice Hall Upper Saddle River NJ."},{"key":"e_1_3_2_1_4_1","unstructured":"M. P. Stephens and F. E. Meyers. 2013. Manufacturing Facilities Design and Material Handling (5th. ed.). Purdue University Press West Lafayette IN."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/551283"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-006-0465-y"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-013-0852-9"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","unstructured":"P. Vamplew R. Dazeley A. Berry R. Issabekov and E. Dekker. 2011. Empirical Evaluation Methods for Multiobjective Reinforcement Learning Algorithms. Machine learning vol. 84 no. 1-2 pp. 51--80. 10.1007\/s10994-010-5232-5","DOI":"10.1007\/s10994-010-5232-5"},{"key":"e_1_3_2_1_9_1","first-page":"1","article-title":"Solving Combinatorial Optimization Tasks by Reinforcement Learning: A General Methodology Applied to Resource-constrained Scheduling","volume":"1","author":"Zhang W.","year":"2000","unstructured":"W. Zhang and T. G. Dietterich. 2000. Solving Combinatorial Optimization Tasks by Reinforcement Learning: A General Methodology Applied to Resource-constrained Scheduling. Journal of Artificial Intelligence Research, vol. 1, pp. 1--38.","journal-title":"Journal of Artificial Intelligence Research"},{"key":"e_1_3_2_1_10_1","first-page":"003754971880954","volume-title":"Stochastic Flexible Flow Shop Scheduling Problem with Limited Buffers and Fixed Interval Preventive Maintenance: A Hybrid Approach of Simulation and Metaheuristic Algorithms. SIMULATION","author":"Rooeinfar R.","year":"2018","unstructured":"R. Rooeinfar, S. Raissi, and V. Ghezavati. 2018. Stochastic Flexible Flow Shop Scheduling Problem with Limited Buffers and Fixed Interval Preventive Maintenance: A Hybrid Approach of Simulation and Metaheuristic Algorithms. SIMULATION, p. 0037549718809542, 2018."},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 2019 Simulation Innovation Workshop, Orlando FL","author":"Govindaiah S.","year":"2019","unstructured":"S. Govindaiah and M. D. Petty. 2019. A Discrete Event Simulation-based Multiobjective Reinforcement Learning Reward Function for Optimizing Manufacturing Material Handling. In Proceedings of the 2019 Simulation Innovation Workshop, Orlando FL, February 2019."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.15.3.537"}],"event":{"name":"ACM SE '19: 2019 ACM Southeast Conference","sponsor":["ACM Association for Computing Machinery"],"location":"Kennesaw GA USA","acronym":"ACM SE '19"},"container-title":["Proceedings of the 2019 ACM Southeast Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3299815.3314451","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3299815.3314451","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:15Z","timestamp":1750210755000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3299815.3314451"}},"subtitle":["Background and Formal Problem Specification"],"short-title":[],"issued":{"date-parts":[[2019,4,18]]},"references-count":12,"alternative-id":["10.1145\/3299815.3314451","10.1145\/3299815"],"URL":"https:\/\/doi.org\/10.1145\/3299815.3314451","relation":{},"subject":[],"published":{"date-parts":[[2019,4,18]]},"assertion":[{"value":"2019-04-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}