Process planning;
machine control;
function block;
smart manufacturing;
cloud manufacturing;
Cloud-DPP;
DESIGN;
SYSTEM;
D O I:
10.1080/00207543.2022.2028921
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
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.
机构:
Univ Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Hong Kong, Peoples R China
Kong, Xiang T. R.
Fang, Ji
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机构:
Univ Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Hong Kong, Peoples R China
Fang, Ji
Luo, Hao
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机构:
Univ Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Hong Kong, Peoples R China
Luo, Hao
Huang, George Q.
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机构:
Univ Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Ind & Mfg Syst Engn, HKU ZIRI Lab Phys Internet, Hong Kong, Hong Kong, Peoples R China