A Bi-objective Model for the Cloud Manufacturing Configuration Design with Resilience and Disruption Risks
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F22%3A00363946" target="_blank" >RIV/68407700:21730/22:00363946 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1016/j.ifacol.2022.10.139" target="_blank" >https://doi.org/10.1016/j.ifacol.2022.10.139</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2022.10.139" target="_blank" >10.1016/j.ifacol.2022.10.139</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Bi-objective Model for the Cloud Manufacturing Configuration Design with Resilience and Disruption Risks
Popis výsledku v původním jazyce
Given the fourth industrial revolution (i.e., Industry 4.0), a cloud manufacturing (CMfg) system is introduced as a modern service- and customer-centered manufacturing paradigm. This system incorporates the distributed manufacturing corporations to collaborate as an interconnected system and share their production capabilities or resources without any stoppages. In this regard, this paper develops a novel two-stage bi-objective mathematical model for designing resilient CMfg configuration by maximizing the platform's profit and maximizing the resilience level of the designed CMfg network. Three primary resilience indicators, including design quality, proactive capability, and reactive capability, are considered in the proposed model. Moreover, to evaluate the resilience level of the designed CMfg network, a new objective function is developed. An E-constraint augmented (AUGMECON2) method is used to solve the bi-objective model. Furthermore, a simple maximum-likelihood sampling (MLS) method is used to reduce the number of possible scenarios. Finally, some in-depth analyses are carried out to illustrate and validate the performance of the proposed solution approach Copyright (C) 2022 The Authors.
Název v anglickém jazyce
A Bi-objective Model for the Cloud Manufacturing Configuration Design with Resilience and Disruption Risks
Popis výsledku anglicky
Given the fourth industrial revolution (i.e., Industry 4.0), a cloud manufacturing (CMfg) system is introduced as a modern service- and customer-centered manufacturing paradigm. This system incorporates the distributed manufacturing corporations to collaborate as an interconnected system and share their production capabilities or resources without any stoppages. In this regard, this paper develops a novel two-stage bi-objective mathematical model for designing resilient CMfg configuration by maximizing the platform's profit and maximizing the resilience level of the designed CMfg network. Three primary resilience indicators, including design quality, proactive capability, and reactive capability, are considered in the proposed model. Moreover, to evaluate the resilience level of the designed CMfg network, a new objective function is developed. An E-constraint augmented (AUGMECON2) method is used to solve the bi-objective model. Furthermore, a simple maximum-likelihood sampling (MLS) method is used to reduce the number of possible scenarios. Finally, some in-depth analyses are carried out to illustrate and validate the performance of the proposed solution approach Copyright (C) 2022 The Authors.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/LL1902" target="_blank" >LL1902: Obohacování SMT řešičů pomocí strojového učení</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
IFAC-PapersOnLine
ISBN
—
ISSN
2405-8963
e-ISSN
2405-8963
Počet stran výsledku
6
Strana od-do
3244-3249
Název nakladatele
Elsevier B.V.
Místo vydání
Amsterdam
Místo konání akce
Nantes
Datum konání akce
22. 6. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000881681700492