SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Vacchi A)
 

Sökning: WFRF:(Vacchi A) > (2020) > Dual-Dimensional Ma...

Dual-Dimensional Manufacturing Service Collaboration Optimization Toward Industrial Internet Platforms

Pang, Shibao (författare)
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.
Guo, Shunsheng (författare)
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.
Wang, Xi Vincent, Dr. 1985- (författare)
KTH,Produktionsutveckling
visa fler...
Wang, Lei (författare)
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.
Wang, Lihui (författare)
KTH,Produktionsutveckling
visa färre...
 (creator_code:org_t)
Elsevier BV, 2023
2023
Engelska.
Ingår i: ENGINEERING. - : Elsevier BV. - 2095-8099. ; 22, s. 34-48
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)

Nyckelord

Manufacturing service collaboration
Service optimal selection
Service granularity
Industrial Internet platform

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Hitta mer i SwePub

Av författaren/redakt...
Pang, Shibao
Guo, Shunsheng
Wang, Xi Vincent ...
Wang, Lei
Wang, Lihui
Om ämnet
TEKNIK OCH TEKNOLOGIER
TEKNIK OCH TEKNO ...
och Maskinteknik
och Produktionstekni ...
Artiklar i publikationen
ENGINEERING
Av lärosätet
Kungliga Tekniska Högskolan

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy