SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:his-23729"
 

Search: onr:"swepub:oai:DiVA.org:his-23729" > A framework for thr...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

A framework for throughput bottleneck analysis using cloud-based cyber-physical systems in Industry 4.0 and smart manufacturing

Mahmoodi, Ehsan (author)
Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Virtual Production Development (VPD)
Fathi, Masood (author)
Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Division of Industrial Engineering and Management, Uppsala University, Sweden,Virtual Production Development (VPD)
Ghobakhloo, Morteza (author)
Division of Industrial Engineering and Management, Uppsala University, Sweden
show more...
Ng, Amos H. C., 1970- (author)
Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Division of Industrial Engineering and Management, Uppsala University, Sweden,Virtual Production Development (VPD)
show less...
 (creator_code:org_t)
Elsevier, 2024
2024
English.
In: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 232, s. 3121-3130
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • The performance of a production system is primarily evaluated by its throughput, which is constrained by throughput bottlenecks. Thus, bottleneck analysis (BA), encompassing bottleneck identification, diagnosis, prediction, and prescription, is a crucial analytical process contributing to the success of manufacturing industries. Nevertheless, BA requires a substantial quantity of information from the manufacturing system, making it a data-intensive task. Based on the dynamic nature of bottlenecks, the optimal strategy for BA entails making well-informed decisions in real-time and executing necessary modifications accordingly. The efficient implementation of BA requires gathering, storing, analyzing, and illustrating data from the shop floor. Utilizing Industry 4.0 technologies, such as cyber-physical systems and cloud technology, facilitates the execution of data-intensive operations for the successful management of BA in real-world settings. The main objective of this study is to establish a framework for BA through the utilization of Cloud-Based Cyber-Physical Systems (CB-CPSs). First, a literature review was conducted to identify relevant research and current applications of CB-CPSs in BA. Using the results of the review, a CB-CPSs framework was subsequently introduced for BA. The application of the framework was assessed via simulation in a real-world manufacturer of marine engines. The findings indicate that the implementation of CB-CPSs can contribute significantly to throughput improvement. 

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Keyword

Bottleneck analysis
Cyber-physical systems
Industry 4.0
Simulation
Virtual Production Development (VPD)
Virtual Production Development (VPD)

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Mahmoodi, Ehsan
Fathi, Masood
Ghobakhloo, Mort ...
Ng, Amos H. C., ...
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Mechanical Engin ...
and Production Engin ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
and Computer Systems
Articles in the publication
Procedia Compute ...
By the university
University of Skövde

Search outside 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 Close

Copy and save the link in order to return to this view