Romie: A domain-independent tool for computer-aided robust operations management
Romie is a decision support tool based on AI’s latest advances in the domain of robust scheduling. Unlike all existing systems, the tool allows to (i) visually model the operational problem and context entirely (ii) optimize to find near-optimal schedules while taking uncertainty into account and (i...
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| Published in | Engineering applications of artificial intelligence Vol. 111; p. 104801 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.05.2022
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Romie is a decision support tool based on AI’s latest advances in the domain of robust scheduling. Unlike all existing systems, the tool allows to (i) visually model the operational problem and context entirely (ii) optimize to find near-optimal schedules while taking uncertainty into account and (iii) deal with a combination of various key performance indicators (KPIs). It comes with a web user interface. Part or all of the modelled activities may be associated to random variables describing their stochastic durations, in order to produce schedules that are robust w.r.t. temporal uncertainty. Hence, depending on the pursued KPIs, the schedules maximize a combination of the following terms: the probability of satisfying the problem constraints, the expected return/efficiency, the expected outcome quality, and even the operators’ wellness by minimizing its expected extra-hours. Initially developed for spatial exploration and demonstration in the context of Mars analogue missions (i.e. missions on Earth that simulate condition and aspects of Mars missions), this versatile tool is here applied to operations management in both biotechnology manufacturing and robots parametrization in a cave exploration context. |
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| AbstractList | Romie is a decision support tool based on AI’s latest advances in the domain of robust scheduling. Unlike all existing systems, the tool allows to (i) visually model the operational problem and context entirely (ii) optimize to find near-optimal schedules while taking uncertainty into account and (iii) deal with a combination of various key performance indicators (KPIs). It comes with a web user interface. Part or all of the modelled activities may be associated to random variables describing their stochastic durations, in order to produce schedules that are robust w.r.t. temporal uncertainty. Hence, depending on the pursued KPIs, the schedules maximize a combination of the following terms: the probability of satisfying the problem constraints, the expected return/efficiency, the expected outcome quality, and even the operators’ wellness by minimizing its expected extra-hours. Initially developed for spatial exploration and demonstration in the context of Mars analogue missions (i.e. missions on Earth that simulate condition and aspects of Mars missions), this versatile tool is here applied to operations management in both biotechnology manufacturing and robots parametrization in a cave exploration context. |
| ArticleNumber | 104801 |
| Author | Gibaszek, Jonas Saint-Guillain, Michael Chien, Steve Vaquero, Tiago |
| Author_xml | – sequence: 1 givenname: Michael orcidid: 0000-0002-8890-5044 surname: Saint-Guillain fullname: Saint-Guillain, Michael email: michael.saint@uclouvain.be organization: Université Catholique de Louvain, Place de l’Universite 1, Ottignies-Louvain-la-Neuve, 1348, Belgium – sequence: 2 givenname: Jonas surname: Gibaszek fullname: Gibaszek, Jonas organization: Université Catholique de Louvain, Place de l’Universite 1, Ottignies-Louvain-la-Neuve, 1348, Belgium – sequence: 3 givenname: Tiago surname: Vaquero fullname: Vaquero, Tiago organization: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, 91109, CA, USA – sequence: 4 givenname: Steve orcidid: 0000-0003-1023-9480 surname: Chien fullname: Chien, Steve organization: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, 91109, CA, USA |
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| Cites_doi | 10.1016/0377-2217(94)90385-9 10.1089/ast.2018.1838 10.1109/MIS.2007.75 10.2514/1.12923 10.1177/00187208211058913 10.1016/S0305-0483(97)00002-9 10.1137/S1052623499363220 10.1205/cherd06240 10.1609/icaps.v29i1.3500 10.3390/bioengineering1040154 10.1016/S0004-3702(99)00069-7 10.1016/j.ejor.2004.04.002 10.1089/ast.2018.1850 10.1287/ijoc.3.2.149 10.1613/jair.1.13019 10.1109/MIS.2004.1265878 10.1016/j.actaastro.2012.03.009 10.1016/S0167-5060(08)70821-5 |
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| Keywords | Operations management Robustness Mars analogue mission Simulation Scheduling under uncertainty |
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| SubjectTerms | Mars analogue mission Operations management Robustness Scheduling under uncertainty Simulation |
| Title | Romie: A domain-independent tool for computer-aided robust operations management |
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