Matches in SemOpenAlex for { <https://semopenalex.org/work/W3034453054> ?p ?o ?g. }
- W3034453054 endingPage "106553" @default.
- W3034453054 startingPage "106542" @default.
- W3034453054 abstract "Machine bottlenecks, resulting from shifting and unbalanced machine loads caused by resource capacity limitations, impair product-mix flexibility production systems. Thus, the knowledge base (KB) of a dynamic scheduling control system should be dynamic and include a knowledge revision mechanism for monitoring crucial changes that occur in the production system. In this paper, reinforcement learning (RL)-based dynamic scheduling and a selection mechanism for multiple dynamic scheduling rules (MDSRs) are proposed to support the operating characteristics of a flexible manufacturing system (FMS) and semiconductor wafer fabrication (FAB). The proposed RL-based dynamic scheduling MDSR selection mechanism consisted of initial MDSR KB generation and revision phases. According to various performance criteria, the presented approach yields a system performance that is superior to those of the fixed-decision scheduling approach, the machine learning classification approach, and the classical MDSR selection mechanism." @default.
- W3034453054 created "2020-06-19" @default.
- W3034453054 creator A5017372589 @default.
- W3034453054 creator A5050384812 @default.
- W3034453054 creator A5067246240 @default.
- W3034453054 date "2020-01-01" @default.
- W3034453054 modified "2023-10-01" @default.
- W3034453054 title "A Reinforcement Learning Approach to Dynamic Scheduling in a Product-Mix Flexibility Environment" @default.
- W3034453054 cites W1493258571 @default.
- W3034453054 cites W1977357978 @default.
- W3034453054 cites W1982114031 @default.
- W3034453054 cites W1982193504 @default.
- W3034453054 cites W1986986399 @default.
- W3034453054 cites W1989425350 @default.
- W3034453054 cites W1990850286 @default.
- W3034453054 cites W2003133749 @default.
- W3034453054 cites W2006591025 @default.
- W3034453054 cites W2007820402 @default.
- W3034453054 cites W2017049928 @default.
- W3034453054 cites W2017511092 @default.
- W3034453054 cites W2032147932 @default.
- W3034453054 cites W2035057469 @default.
- W3034453054 cites W2044919421 @default.
- W3034453054 cites W2046629893 @default.
- W3034453054 cites W2051224630 @default.
- W3034453054 cites W2064647708 @default.
- W3034453054 cites W2064675550 @default.
- W3034453054 cites W2071829163 @default.
- W3034453054 cites W2081023059 @default.
- W3034453054 cites W2090357395 @default.
- W3034453054 cites W2090362040 @default.
- W3034453054 cites W2097984481 @default.
- W3034453054 cites W2098698979 @default.
- W3034453054 cites W2109417943 @default.
- W3034453054 cites W2109586413 @default.
- W3034453054 cites W2110802877 @default.
- W3034453054 cites W2119537713 @default.
- W3034453054 cites W2141026015 @default.
- W3034453054 cites W2141640904 @default.
- W3034453054 cites W2153962305 @default.
- W3034453054 cites W2160525977 @default.
- W3034453054 cites W2162396681 @default.
- W3034453054 cites W2164239387 @default.
- W3034453054 cites W2165302948 @default.
- W3034453054 cites W2165501837 @default.
- W3034453054 cites W2343504756 @default.
- W3034453054 cites W2586222815 @default.
- W3034453054 cites W2618749399 @default.
- W3034453054 cites W2761602875 @default.
- W3034453054 cites W2764192835 @default.
- W3034453054 cites W2766736793 @default.
- W3034453054 cites W2772589676 @default.
- W3034453054 cites W2790994833 @default.
- W3034453054 cites W2793262237 @default.
- W3034453054 cites W2802314172 @default.
- W3034453054 cites W2802562461 @default.
- W3034453054 cites W2886489963 @default.
- W3034453054 cites W2890760539 @default.
- W3034453054 cites W2892315936 @default.
- W3034453054 cites W2921116154 @default.
- W3034453054 cites W2941722570 @default.
- W3034453054 cites W2951307174 @default.
- W3034453054 cites W2955103819 @default.
- W3034453054 cites W2957776456 @default.
- W3034453054 cites W2965255719 @default.
- W3034453054 cites W2973184394 @default.
- W3034453054 cites W2978949425 @default.
- W3034453054 cites W2998801207 @default.
- W3034453054 cites W3000708199 @default.
- W3034453054 cites W3104279142 @default.
- W3034453054 cites W32403112 @default.
- W3034453054 cites W4214717370 @default.
- W3034453054 cites W4240744922 @default.
- W3034453054 cites W4245176872 @default.
- W3034453054 doi "https://doi.org/10.1109/access.2020.3000781" @default.
- W3034453054 hasPublicationYear "2020" @default.
- W3034453054 type Work @default.
- W3034453054 sameAs 3034453054 @default.
- W3034453054 citedByCount "9" @default.
- W3034453054 countsByYear W30344530542021 @default.
- W3034453054 countsByYear W30344530542022 @default.
- W3034453054 countsByYear W30344530542023 @default.
- W3034453054 crossrefType "journal-article" @default.
- W3034453054 hasAuthorship W3034453054A5017372589 @default.
- W3034453054 hasAuthorship W3034453054A5050384812 @default.
- W3034453054 hasAuthorship W3034453054A5067246240 @default.
- W3034453054 hasBestOaLocation W30344530541 @default.
- W3034453054 hasConcept C105795698 @default.
- W3034453054 hasConcept C107568181 @default.
- W3034453054 hasConcept C111919701 @default.
- W3034453054 hasConcept C119599485 @default.
- W3034453054 hasConcept C120314980 @default.
- W3034453054 hasConcept C127413603 @default.
- W3034453054 hasConcept C13736549 @default.
- W3034453054 hasConcept C139719470 @default.
- W3034453054 hasConcept C149635348 @default.
- W3034453054 hasConcept C154945302 @default.
- W3034453054 hasConcept C160671074 @default.