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Article: A proactive material handling method for CPS enabled shop-floor

TitleA proactive material handling method for CPS enabled shop-floor
Authors
KeywordsCyber physical system (CPS)
Material handlingShop-floor
Prediction model
Remaining processing time
Large-size product
Issue Date2020
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/rcim
Citation
Robotics and Computer-Integrated Manufacturing, 2020, v. 61, p. article no. 101849 How to Cite?
AbstractCyber physical system (CPS) enables companies to keep high traceability and controllability in manufacturing for better quality and improved productivity. However, several challenges including excessively long waiting time and a serious waste of energy still exist on the shop-floor where limited buffer exists for each machine (e.g., shop-floor that manufactures large-size products). The production logistics tasks are released after work-in-processes (WIPs) are processed, and the machines will be occupied before trolleys arrival when using passive material handling strategy. To address this issue, a proactive material handling method for CPS enabled shop-floor (CPS-PMH) is proposed. Firstly, the manufacturing resources (machines and trolleys) are made smart by applying CPS technologies so that they are able to sense, act, interact and behave within a smart environment. Secondly, a shop-floor digital twin model is created, aiming to reflect their status just like real-life objects, and key production performance indicators can be analysed timely. Then, a time-weighted multiple linear regression method (TWMLR) is proposed to forecast the remaining processing time of WIPs. A proactive material handling model is designed to allocate smart trolleys optimally. Finally, a case study from Southern China is used to validate the proposed method and results show that the proposed CPS-PMH can largely reduce the total non-value-added energy consumption of manufacturing resources and optimize the routes of smart trolleys.
DescriptionLink to Free access
Persistent Identifierhttp://hdl.handle.net/10722/279164
ISSN
2023 Impact Factor: 9.1
2023 SCImago Journal Rankings: 2.906
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, W-
dc.contributor.authorZhang, Y-
dc.contributor.authorZhong, RY-
dc.date.accessioned2019-10-21T02:20:47Z-
dc.date.available2019-10-21T02:20:47Z-
dc.date.issued2020-
dc.identifier.citationRobotics and Computer-Integrated Manufacturing, 2020, v. 61, p. article no. 101849-
dc.identifier.issn0736-5845-
dc.identifier.urihttp://hdl.handle.net/10722/279164-
dc.descriptionLink to Free access-
dc.description.abstractCyber physical system (CPS) enables companies to keep high traceability and controllability in manufacturing for better quality and improved productivity. However, several challenges including excessively long waiting time and a serious waste of energy still exist on the shop-floor where limited buffer exists for each machine (e.g., shop-floor that manufactures large-size products). The production logistics tasks are released after work-in-processes (WIPs) are processed, and the machines will be occupied before trolleys arrival when using passive material handling strategy. To address this issue, a proactive material handling method for CPS enabled shop-floor (CPS-PMH) is proposed. Firstly, the manufacturing resources (machines and trolleys) are made smart by applying CPS technologies so that they are able to sense, act, interact and behave within a smart environment. Secondly, a shop-floor digital twin model is created, aiming to reflect their status just like real-life objects, and key production performance indicators can be analysed timely. Then, a time-weighted multiple linear regression method (TWMLR) is proposed to forecast the remaining processing time of WIPs. A proactive material handling model is designed to allocate smart trolleys optimally. Finally, a case study from Southern China is used to validate the proposed method and results show that the proposed CPS-PMH can largely reduce the total non-value-added energy consumption of manufacturing resources and optimize the routes of smart trolleys.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/rcim-
dc.relation.ispartofRobotics and Computer-Integrated Manufacturing-
dc.subjectCyber physical system (CPS)-
dc.subjectMaterial handlingShop-floor-
dc.subjectPrediction model-
dc.subjectRemaining processing time-
dc.subjectLarge-size product-
dc.titleA proactive material handling method for CPS enabled shop-floor-
dc.typeArticle-
dc.identifier.emailZhong, RY: zhongzry@hku.hk-
dc.identifier.authorityZhong, RY=rp02116-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.rcim.2019.101849-
dc.identifier.scopuseid_2-s2.0-85070405066-
dc.identifier.hkuros307441-
dc.identifier.volume61-
dc.identifier.spagearticle no. 101849-
dc.identifier.epagearticle no. 101849-
dc.identifier.isiWOS:000496834800014-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0736-5845-

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