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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004099naa a2200397 4500
001oai:DiVA.org:kth-329443
003SwePub
008230621s2023 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3294432 URI
024a https://doi.org/10.1016/j.eng.2022.07.0202 DOI
040 a (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Pang, Shibaou KTH,Produktionsutveckling,Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China.;Wuhan Univ Technol, Hubei Digital Mfg Key Lab, Wuhan 430070, Peoples R China.4 aut0 (Swepub:kth)u1nubbdt
2451 0a Dual-Dimensional Manufacturing Service Collaboration Optimization Toward Industrial Internet Platforms
264 1b Elsevier BV,c 2023
338 a print2 rdacarrier
500 a QC 20230621
520 a An Industrial Internet platform is acknowledged to be a requisite promoter for smart manufacturing, enabling physical manufacturing resources to be virtualized and permitting resources to collaborate in the form of services. As a central function of the platform, manufacturing service collaboration optimization is dedicated to establishing high-quality service collaboration solutions for manufacturing tasks. Such optimization is inseparable from the functional and amount requirements of a task, which must be satisfied when orchestrating services. However, existing manufacturing service collaboration optimization methods mainly focus on horizontal collaboration among services for functional demands and rarely consider vertical collaboration to cover the needed amounts. To address this gap, this paper proposes a dual-dimensional service collaboration methodology that combines functional and amount collaboration. First, a multi-granularity manufacturing service modeling method is presented to describe services. On this basis, a dual-dimensional manufacturing service collaboration optimization (DMSCO) model is formulated. In the vertical dimension, multiple functionally equivalent services form a service cluster to fulfill a subtask; in the horizontal dimension, complementary service clusters collaborate for the entire task. Service selection and amount distribution to the selected services are critical issues in the model. To solve the problem, a multi-objective memetic algorithm with multiple local search operators is tailored. The algorithm embeds a competition mechanism to dynamically adjust the selection probabilities of the local search operators. The experimental results demonstrate the superiority of the algorithm in terms of convergence, solution quality, and comprehensive metrics, in comparison with commonly used algorithms.
650 7a TEKNIK OCH TEKNOLOGIERx Maskinteknikx Produktionsteknik, arbetsvetenskap och ergonomi0 (SwePub)203072 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Mechanical Engineeringx Production Engineering, Human Work Science and Ergonomics0 (SwePub)203072 hsv//eng
653 a Manufacturing service collaboration
653 a Service optimal selection
653 a Service granularity
653 a Industrial Internet platform
700a Guo, Shunshengu Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China.;Wuhan Univ Technol, Hubei Digital Mfg Key Lab, Wuhan 430070, Peoples R China.4 aut
700a Wang, Xi Vincent,c Dr.d 1985-u KTH,Produktionsutveckling4 aut0 (Swepub:kth)u1za3gdg
700a Wang, Leiu Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China.;Wuhan Univ Technol, Hubei Digital Mfg Key Lab, Wuhan 430070, Peoples R China.4 aut
700a Wang, Lihuiu KTH,Produktionsutveckling4 aut0 (Swepub:kth)u1blju84
710a KTHb Produktionsutveckling4 org
773t ENGINEERINGd : Elsevier BVg 22, s. 34-48q 22<34-48x 2095-8099
856u https://doi.org/10.1016/j.eng.2022.07.020y Fulltext
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-329443
8564 8u https://doi.org/10.1016/j.eng.2022.07.020

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Pang, Shibao
Guo, Shunsheng
Wang, Xi Vincent ...
Wang, Lei
Wang, Lihui
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TEKNIK OCH TEKNOLOGIER
TEKNIK OCH TEKNO ...
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