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Function block-enabled operation planning and machine control in Cloud-DPP
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0002-3517-3636
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-9694-0483
2022 (English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, p. 1-17Article in journal (Refereed) Published
Abstract [en]

Today, due to shop-floor uncertainties and widespread cross-enterprise collaborations, manufacturing systems of enterprises are increasingly demanded to be agile, adaptive, flexible and interoperable. Process planning systems are mission-critical constituent components of manufacturing systems in machining job shops of small and medium-sized enterprises in the machining and metal cutting sector. Cloud-based adaptive distributed process planning, which includes global supervisory planning in the cloud and local operation planning based on function block and cloud technologies, provides an effective approach for enhancing agility, adaptability, flexibility and interoperability of manufacturing systems. 

Place, publisher, year, edition, pages
Informa UK Limited , 2022. p. 1-17
Keywords [en]
cloud manufacturing, Cloud-DPP, function block, machine control, Process planning, smart manufacturing, Interoperability, Metal cutting, Enterprise collaboration, Machine controls, Operation planning, Planning controls, Shopfloors, Uncertainty, Process control
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-321196DOI: 10.1080/00207543.2022.2028921ISI: 000753945800001Scopus ID: 2-s2.0-85125087057OAI: oai:DiVA.org:kth-321196DiVA, id: diva2:1710608
Note

QC 20221114

Available from: 2022-11-14 Created: 2022-11-14 Last updated: 2022-11-14Bibliographically approved

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Givehchi, MohammadWang, Xi Vincent

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