{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T14:45:29Z","timestamp":1781534729189,"version":"3.54.5"},"reference-count":44,"publisher":"ASME International","issue":"10","license":[{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.asme.org\/publications-submissions\/publishing-information\/legal-policies"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52105500, 52275471"],"award-info":[{"award-number":["52105500, 52275471"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["asmedigitalcollection.asme.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>With the integration of information technology and manufacturing industries, manufacturing is expected to enter the stage of service collaboration on platforms. The immutability and decentralization of blockchain can provide a trustworthy environment for manufacturing service collaboration (MSC). Manufacturing services with varying processes and standards lead to significant quality of service (QoS) differences, making single-chain networks unable to meet diverse ledger demands, potentially delaying subsequent manufacturing procedures on platforms. Therefore, this article proposes a blockchain-enabled MSC framework based on the Hyperledger Fabric's multichain architecture. A platform chain Org allocation mechanism based on the enterprise operation data is designed, and manufacturing services are grouped based on the QoS to ensure consistency in each service chain. Additionally, generalized stochastic Petri nets is employed to model the relevant stages of manufacturing service execution and log recording process on blockchain to analyze the system performance, and an improved gray wolf optimizer (GWO) is adopted to identify the most suitable parameters of the blockchain. The proposed optimizer achieves significant enhancements in exploration performance and stability. In addressing the problem proposed in the article, the optimizer obtains comparable solutions while reducing iterations by approximately 9%, significantly lowering simulation costs. Experiments validate the effectiveness of the proposed mechanism and algorithms.<\/jats:p>","DOI":"10.1115\/1.4069659","type":"journal-article","created":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T15:21:38Z","timestamp":1756480898000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":2,"title":["Blockchain Performance Optimization in Manufacturing Service Collaboration With Improved Gray Wolf Optimizer"],"prefix":"10.1115","volume":"25","author":[{"given":"Yifan","family":"Zhang","sequence":"first","affiliation":[{"name":"Beihang University Sino-French Engineer School, , \u00a0 ,","place":["Beijing, China, 100191"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongping","family":"Zhang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00wk2mp56","id-type":"ROR","asserted-by":"publisher"}],"name":"Beihang University School of Automation Science and Electrical Engineering, , \u00a0 ,","place":["Beijing, China, 100191"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Cheng","sequence":"additional","affiliation":[{"name":"Beihang University School of Automation Science and Electrical Engineering, , \u00a0 ,","place":["Beijing, China, 100191"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Zuo","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00wk2mp56","id-type":"ROR","asserted-by":"publisher"}],"name":"Beihang University School of Automation Science and Electrical Engineering, , \u00a0 ,","place":["Beijing, China, 100191"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Tao","sequence":"additional","affiliation":[{"name":"Beihang University School of Automation Science and Electrical Engineering; Digital Twin International Research Center, International Research Institute for Multidisciplinary Sciences, , \u00a0 ,","place":["Beijing, China, 100191"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"33","published-online":{"date-parts":[[2025,9,15]]},"reference":[{"key":"2025091513590458000_CIT0001","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1016\/j.jmsy.2020.11.008","article-title":"Digital Twin and Blockchain Enhanced Smart Manufacturing Service Collaboration and Management","volume":"62","author":"Tao","year":"2022","journal-title":"J. Manuf. Syst."},{"issue":"5","key":"2025091513590458000_CIT0002","doi-asserted-by":"publisher","first-page":"6849","DOI":"10.1109\/TII.2022.3208090","article-title":"Cloud Edge Collaborative Service Composition Optimization for Intelligent Manufacturing","volume":"19","author":"Song","year":"2023","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"10","key":"2025091513590458000_CIT0003","doi-asserted-by":"publisher","first-page":"1969","DOI":"10.1177\/0954405411405575","article-title":"Cloud Manufacturing: A Computing and Service-Oriented Manufacturing Model","volume":"225","author":"Tao","year":"2011","journal-title":"Proc. Inst. Mech. Eng. B"},{"issue":"9","key":"2025091513590458000_CIT0004","doi-asserted-by":"publisher","first-page":"12287","DOI":"10.1109\/JIOT.2024.3520612","article-title":"Edge-Cloud Cooperation Driven Intelligent Sustainability Evaluation Strategy Based on IoT and CPS for Energy-Intensive Manufacturing Industries","volume":"12","author":"Ma","year":"2024","journal-title":"IEEE Internet Things J."},{"issue":"15","key":"2025091513590458000_CIT0005","doi-asserted-by":"publisher","first-page":"5131","DOI":"10.1080\/00207543.2018.1430903","article-title":"Evaluation Across and Within Collaborative Manufacturing Networks: A Comparison of Manufacturers' Interactions and Attributes","volume":"56","author":"Leng","year":"2018","journal-title":"Int. J. Prod. Res."},{"issue":"7","key":"2025091513590458000_CIT0006","doi-asserted-by":"publisher","first-page":"071004","DOI":"10.1115\/1.4063859","article-title":"Sensor Data Protection Through Integration of Blockchain and Camouflaged Encryption in Cyber-physical Manufacturing Systems","volume":"24","author":"Shi","year":"2024","journal-title":"ASME J. Comput. Inf. Sci. Eng."},{"issue":"4","key":"2025091513590458000_CIT0007","doi-asserted-by":"publisher","first-page":"041007","DOI":"10.1115\/1.4048966","article-title":"A Blockchain-Based G-Code Protection Approach for Cyber-physical Security in Additive Manufacturing","volume":"21","author":"Shi","year":"2021","journal-title":"ASME J. Comput. Inf. Sci. Eng."},{"issue":"14","key":"2025091513590458000_CIT0008","doi-asserted-by":"publisher","first-page":"5402","DOI":"10.1080\/00207543.2024.2414375","article-title":"The Impact of Blockchain Adoption on Supply Chain Performance: Evidence From Food Industry","volume":"63","author":"Vu","year":"2025","journal-title":"Int. J. Prod. Res."},{"key":"2025091513590458000_CIT0009","doi-asserted-by":"publisher","first-page":"102139","DOI":"10.1016\/j.rcim.2021.102139","article-title":"Scalable Framework for Blockchain-Based Shared Manufacturing","volume":"71","author":"Ro\u017eman","year":"2021","journal-title":"Rob. Comput. Integr. Manuf."},{"issue":"4","key":"2025091513590458000_CIT0010","doi-asserted-by":"publisher","first-page":"2023","DOI":"10.1109\/TII.2012.2232936","article-title":"FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System","volume":"9","author":"Tao","year":"2013","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"5","key":"2025091513590458000_CIT0011","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.1007\/s10845-015-1042-8","article-title":"Advanced Manufacturing Systems: Socialization Characteristics and Trends","volume":"28","author":"Tao","year":"2017","journal-title":"J. Intell. Manuf."},{"issue":"1","key":"2025091513590458000_CIT0012","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s00170-024-12989-y","article-title":"Cloud Based Manufacturing: A Review of Recent Developments in Architectures, Technologies, Infrastructures, Platforms and Associated Challenges","volume":"131","author":"Gharibvand","year":"2024","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"3","key":"2025091513590458000_CIT0013","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1007\/s00170-022-10431-9","article-title":"A Blockchain-Based Confidentiality-Preserving Approach to Traceability in Industry 4.0","volume":"124","author":"Mullet","year":"2023","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"7","key":"2025091513590458000_CIT0014","doi-asserted-by":"publisher","first-page":"2669","DOI":"10.1007\/s00170-021-07802-z","article-title":"Blockchain Applications in PLM Towards Smart Manufacturing","volume":"118","author":"Chen","year":"2022","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"3","key":"2025091513590458000_CIT0015","doi-asserted-by":"publisher","first-page":"1972","DOI":"10.1109\/TII.2019.2938001","article-title":"Blockchain Meets Edge Computing: A Distributed and Trusted Authentication System","volume":"16","author":"Guo","year":"2020","journal-title":"IEEE Trans. Ind. Inf."},{"key":"2025091513590458000_CIT0016","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.rcim.2018.05.011","article-title":"Toward a Blockchain Cloud Manufacturing System as a Peer to Peer Distributed Network Platform","volume":"54","author":"Li","year":"2018","journal-title":"Rob. Comput. Integr. Manuf."},{"issue":"7","key":"2025091513590458000_CIT0017","doi-asserted-by":"publisher","first-page":"2200","DOI":"10.1080\/00207543.2019.1680899","article-title":"Blockchain-Based Ubiquitous Manufacturing: A Secure and Reliable Cyber-physical System","volume":"58","author":"Vatankhah Barenji","year":"2020","journal-title":"Int. J. Prod. Res."},{"key":"2025091513590458000_CIT0018","first-page":"1204","article-title":"A Survey of Scalability Solutions on Blockchain","author":"Kim","year":"2018"},{"issue":"1","key":"2025091513590458000_CIT0019","doi-asserted-by":"publisher","first-page":"35","DOI":"10.3969\/j.issn.1672-6413.2023.01.012","article-title":"Reliability Modeling and Analysis of Multi-level Series Systems Based on GSPN","author":"Li","year":"2023","journal-title":"Mech. Eng. Autom."},{"issue":"12","key":"2025091513590458000_CIT0020","doi-asserted-by":"publisher","first-page":"3903","DOI":"10.1080\/00207543.2018.1471243","article-title":"Digital Twin-Driven Rapid Individualised Designing of Automated Flow-Shop Manufacturing System","volume":"57","author":"Liu","year":"2019","journal-title":"Int. J. Prod. Res."},{"issue":"5","key":"2025091513590458000_CIT0021","doi-asserted-by":"publisher","first-page":"8332","DOI":"10.1109\/JIOT.2019.2917226","article-title":"Blockchain in IoT Systems: End-to-End Delay Evaluation","volume":"6","author":"Alaslani","year":"2019","journal-title":"IEEE Internet Things J."},{"issue":"6","key":"2025091513590458000_CIT0022","doi-asserted-by":"publisher","first-page":"1369","DOI":"10.1109\/TPDS.2021.3049915","article-title":"On Consortium Blockchain Consistency: A Queueing Network Model Approach","volume":"32","author":"Meng","year":"2021","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"2025091513590458000_CIT0023","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.comcom.2020.01.073","article-title":"Performance Modeling and Analysis of a Hyperledger-Based System Using GSPN","volume":"153","author":"Yuan","year":"2020","journal-title":"Comput. Commun."},{"key":"2025091513590458000_CIT0024","doi-asserted-by":"publisher","first-page":"114186","DOI":"10.1016\/j.eswa.2020.114186","article-title":"Effects of the Entropy Weight on TOPSIS","volume":"168","author":"Chen","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"2025091513590458000_CIT0025","first-page":"727","article-title":"X-Means: Extending k-Means With Efficient Estimation of the Number of Clusters","author":"Pelleg","year":"2000"},{"issue":"4","key":"2025091513590458000_CIT0026","doi-asserted-by":"publisher","first-page":"1618","DOI":"10.1109\/TKDE.2020.3002926","article-title":"An Efficient Split-Merge Re-start for the K-Means Algorithm","volume":"34","author":"Capo","year":"2020","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"2025091513590458000_CIT0027","doi-asserted-by":"publisher","first-page":"17","DOI":"10.14201\/ADCAIJ2020931728","article-title":"Modelling and Simulation of Queuing Models Through the Concept of Petri Nets","volume":"9","author":"Siddiqui","year":"2020","journal-title":"Adv. Distrib. Comput. Artif. Intell. J."},{"key":"2025091513590458000_CIT0028","doi-asserted-by":"publisher","first-page":"101217","DOI":"10.1016\/j.iot.2024.101217","article-title":"Latency Performance Modelling in Hyperledger Fabric Blockchain: Challenges and Directions With an IoT Perspective","volume":"26","author":"Enare Abang","year":"2024","journal-title":"Internet Things"},{"key":"2025091513590458000_CIT0029","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","article-title":"Grey Wolf Optimizer","volume":"69","author":"Mirjalili","year":"2014","journal-title":"Adv. Eng. Software"},{"key":"2025091513590458000_CIT0030","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1007\/978-3-319-60618-7_43","volume-title":"Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016)","author":"Gupta","year":"2018"},{"issue":"12","key":"2025091513590458000_CIT0031","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1145\/355588.365104","article-title":"Algorithm 247: Radical-Inverse Quasi-random Point Sequence","volume":"7","author":"Halton","year":"1964","journal-title":"Commun. ACM"},{"issue":"1","key":"2025091513590458000_CIT0032","doi-asserted-by":"publisher","first-page":"012033","DOI":"10.1088\/1742-6596\/1617\/1\/012033","article-title":"The Improved Slime Mould Algorithm With Levy Flight","volume":"1617","author":"Zhao","year":"2020","journal-title":"J. Phys.: Conf. Ser."},{"key":"2025091513590458000_CIT0033","doi-asserted-by":"publisher","first-page":"107250","DOI":"10.1016\/j.cie.2021.107250","article-title":"Aquila Optimizer: A Novel Meta-heuristic Optimization Algorithm","volume":"157","author":"Abualigah","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"2025091513590458000_CIT0034","first-page":"210","article-title":"Cuckoo Search Via Levy Flights","author":"Yang","year":"2009"},{"issue":"21","key":"2025091513590458000_CIT0035","doi-asserted-by":"publisher","first-page":"4162","DOI":"10.3390\/math10214162","article-title":"Moth Search: Variants, Hybrids, and Applications","volume":"10","author":"Li","year":"2022","journal-title":"Mathematics"},{"key":"2025091513590458000_CIT0036","volume-title":"Problem Definitions and Evaluation Criteria for the 100-Digit Challenge Special Session and Competition on Single Objective Numerical Optimization","author":"Price","year":"2018"},{"key":"2025091513590458000_CIT0037","doi-asserted-by":"publisher","first-page":"117629","DOI":"10.1016\/j.eswa.2022.117629","article-title":"Grey Wolf Optimizer Based on Aquila Exploration Method","volume":"205","author":"Ma","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"2025091513590458000_CIT0038","doi-asserted-by":"publisher","first-page":"110297","DOI":"10.1016\/j.knosys.2023.110297","article-title":"Memory, Evolutionary Operator, and Local Search Based Improved Grey Wolf Optimizer With Linear Population Size Reduction Technique","volume":"264","author":"Ahmed","year":"2023","journal-title":"Knowledge-Based Syst."},{"key":"2025091513590458000_CIT0039","doi-asserted-by":"publisher","first-page":"113389","DOI":"10.1016\/j.eswa.2020.113389","article-title":"Selective Opposition Based Grey Wolf Optimization","volume":"151","author":"Dhargupta","year":"2020","journal-title":"Expert Syst. Appl."},{"key":"2025091513590458000_CIT0040","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.swevo.2018.01.011","article-title":"MPSO: Modified Particle Swarm Optimization and Its Applications","volume":"41","author":"Tian","year":"2018","journal-title":"Swarm Evol. Comput."},{"key":"2025091513590458000_CIT0041","doi-asserted-by":"publisher","first-page":"113338","DOI":"10.1016\/j.eswa.2020.113338","article-title":"Chimp Optimization Algorithm","volume":"149","author":"Khishe","year":"2020","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"2025091513590458000_CIT0042","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1080\/21642583.2019.1708830","article-title":"A Novel Swarm Intelligence Optimization Approach: Sparrow Search Algorithm","volume":"8","author":"Xue","year":"2020","journal-title":"Syst. Sci. Control Eng."},{"key":"2025091513590458000_CIT0043","doi-asserted-by":"publisher","first-page":"124400","DOI":"10.1016\/j.eswa.2024.124400","article-title":"Quasi-random Fractal Search (QRFS): A Dynamic Metaheuristic With Sigmoid Population Decrement for Global Optimization","volume":"254","author":"Beltran","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"2025091513590458000_CIT0044","first-page":"1","article-title":"Exploring Hyperledger Caliper Benchmarking Tool to Measure the Performance of Blockchain Based Solutions","author":"Kaushal","year":"2024"}],"container-title":["Journal of Computing and Information Science in Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article-pdf\/25\/10\/101006\/7533643\/jcise-25-1053.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article-pdf\/25\/10\/101006\/7533643\/jcise-25-1053.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T17:59:11Z","timestamp":1757959151000},"score":1,"resource":{"primary":{"URL":"https:\/\/asmedigitalcollection.asme.org\/computingengineering\/article\/25\/10\/101006\/1221790\/Blockchain-Performance-Optimization-in"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,15]]},"references-count":44,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025,10,1]]}},"URL":"https:\/\/doi.org\/10.1115\/1.4069659","relation":{},"ISSN":["1530-9827","1944-7078"],"issn-type":[{"value":"1530-9827","type":"print"},{"value":"1944-7078","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,15]]},"article-number":"101006"}}