{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T04:50:42Z","timestamp":1777524642385,"version":"3.51.4"},"reference-count":33,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2016,12,14]],"date-time":"2016-12-14T00:00:00Z","timestamp":1481673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002471","name":"Dongguk University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002471","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2016R1A6A3A11930205"],"award-info":[{"award-number":["NRF-2016R1A6A3A11930205"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In the future, with the advent of the smart factory era, manufacturing and logistics processes will become more complex, and the complexity and criticality of traceability will further increase. This research aims at developing a performance assessment method to verify scalability when implementing traceability systems based on key technologies for smart factories, such as Internet of Things (IoT) and BigData. To this end, based on existing research, we analyzed traceability requirements and an event schema for storing traceability data in MongoDB, a document-based Not Only SQL (NoSQL) database. Next, we analyzed the algorithm of the most representative traceability query and defined a query-level performance model, which is composed of response times for the components of the traceability query algorithm. Next, this performance model was solidified as a linear regression model because the response times increase linearly by a benchmark test. Finally, for a case analysis, we applied the performance model to a virtual automobile parts logistics. As a result of the case study, we verified the scalability of a MongoDB-based traceability system and predicted the point when data node servers should be expanded in this case. The traceability system performance assessment method proposed in this research can be used as a decision-making tool for hardware capacity planning during the initial stage of construction of traceability systems and during their operational phase.<\/jats:p>","DOI":"10.3390\/s16122126","type":"journal-article","created":{"date-parts":[[2016,12,14]],"date-time":"2016-12-14T10:14:47Z","timestamp":1481710487000},"page":"2126","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Performance Prediction of a MongoDB-Based Traceability System in Smart Factory Supply Chains"],"prefix":"10.3390","volume":"16","author":[{"given":"Yong-Shin","family":"Kang","sequence":"first","affiliation":[{"name":"Department of Systems Management Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 16419, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Il-Ha","family":"Park","sequence":"additional","affiliation":[{"name":"Research Institute of Sustainable Manufacturing System, Korea Institute of Industrial Technology, Cheonan, Chungcheongnam-do 31056, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sekyoung","family":"Youm","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, Dongguk University, 3ga, Pil-dong, Jung-gu, Seoul 04620, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,12,14]]},"reference":[{"key":"ref_1","unstructured":"Report to the President Accelerating U.S. Advanced Manufacturing, Available online: https:\/\/www.whitehouse.gov\/sites\/default\/files\/microsites\/ostp\/PCAST\/amp20_report_final.pdf."},{"key":"ref_2","unstructured":"Recommendations for Implementing the Strategic Initiative Industrie 4.0. Final Report. Available online: http:\/\/www.acatech.de\/fileadmin\/user_upload\/Baumstruktur_nach_Website\/Acatech\/root\/de\/Material_fuer_Sonderseiten\/Industrie_4.0\/Final_report__Industrie_4.0_accessible.pdf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/s40684-016-0015-5","article-title":"Smart manufacturing: Past research, present findings, and future directions","volume":"3","author":"Kang","year":"2016","journal-title":"Int. J. Precis. Eng. Manuf. Green Technol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/j.jmsy.2015.04.008","article-title":"Current status and advancement of cyber-physical systems in manufacturing","volume":"37","author":"Wang","year":"2015","journal-title":"J. Manuf. Syst."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.mfglet.2014.12.001","article-title":"A cyber-physical systems architecture for industry 4.0-based manufacturing systems","volume":"3","author":"Lee","year":"2015","journal-title":"Manuf. Lett."},{"key":"ref_6","first-page":"7","article-title":"Implementing smart factory of industrie 4.0: An outlook","volume":"2016","author":"Wang","year":"2016","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.1016\/j.proeng.2014.03.108","article-title":"The smart factory: Exploring adaptive and flexible manufacturing solutions","volume":"69","author":"Radziwon","year":"2014","journal-title":"Procedia Eng."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"McClatchey, R., Branson, A., Shamdasani, J., and Kovacs, Z. (2015, January 27\u201328). Designing traceability into big data systems. Proceedings of the 5th Annual International Conference on ICT: Big Data, Cloud and Security (ICT: BDCS 2015), Singapore.","DOI":"10.5176\/2382-5669_ICT-BDCS15.07"},{"key":"ref_9","unstructured":"Lucke, D., Constantinescu, C., and Westkamper, E. (2008). Manufacturing Systems and Technologies for the New Frontier, Springer."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1016\/j.compind.2013.03.004","article-title":"Development of generic RFID traceability services","volume":"64","author":"Kang","year":"2013","journal-title":"Comput. Ind."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.ijpe.2015.02.014","article-title":"A big data approach for logistics trajectory discovery from RFID-enabled production data","volume":"165","author":"Zhong","year":"2015","journal-title":"Int. J. Prod. Econ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1145\/1978915.1978919","article-title":"Scalable SQL and NoSQL data stores","volume":"39","author":"Cattell","year":"2011","journal-title":"Sigmod Rec."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1109\/JSEN.2015.2483499","article-title":"MongoDB-based repository design for IoT-generated RFID\/sensor big data","volume":"16","author":"Kang","year":"2015","journal-title":"IEEE Sens. J."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Van der Veen, J.S., Van der Waaij, B., and Meijer, R.J. (2012, January 24\u201329). Sensor data storage performance: SQL or NoSQL, physical or virtual. Proceedings of the 2012 IEEE 5th International Conference on Cloud Computing (CLOUD), Honolulu, HI, USA.","DOI":"10.1109\/CLOUD.2012.18"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Li, T., Liu, Y., Tian, Y., Shen, S., and Mao, W. (2012, January 20\u201323). A storage solution for massive IoT data based on NoSQL. Proceedings of the 2012 IEEE International Conference on Green Computing and Communications (GreenCom), Besancon, France.","DOI":"10.1109\/GreenCom.2012.18"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Le, T.D., Kim, S.H., Nguyen, M.H., Kim, D., Shin, S.Y., Lee, K.E., and da Rosa Righi, R. (2014, January 8\u201310). EPC information services with No-SQL data store for the Internet of Things. Proceedings of 2014 IEEE International Conference on RFID (IEEE RFID), San Diego, CA, USA.","DOI":"10.1109\/RFID.2014.6810711"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Li, M., Zhu, Z., and Chen, G. (2013, January 22\u201326). A scalable and high-efficiency discovery service using a new storage. Proceedings of the 37th Annual International Computer Software and Applications Conference (COMPSAC), Kyoto, Japan.","DOI":"10.1109\/COMPSAC.2013.125"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Nyati, S.S., Pawar, S., and Ingle, R. (2013, January 22\u201325). Performance evaluation of unstructured NoSQL data over distributed framework. Proceedings of the IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), Mysore, India.","DOI":"10.1109\/ICACCI.2013.6637424"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Dede, E., Govindaraju, M., Gunter, D., Canon, R.S., and Ramakrishnan, L. (2013, January 17\u201321). Performance evaluation of a MongoDB and hadoop platform for scientific data analysis. Proceedings of the 4th ACM Workshop on Scientific Cloud Computing, New York, NY, USA.","DOI":"10.1145\/2465848.2465849"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Liu, Y., Wang, Y., and Jin, Y. (2012, January 14\u201317). Research on the improvement of MongoDB Auto-Sharding in cloud environment. Proceedings of 7th International Conference on Computer Science & Education (ICCSE), Melbourne, Australia.","DOI":"10.1109\/ICCSE.2012.6295203"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Kanade, A., Gopal, A., and Kanade, S. (2014, January 21\u201322). A study of normalization and embedding in MongoDB. Proceedings of the 2014 IEEE International Conference on Advance Computing Conference (IACC), Gurgaon, India.","DOI":"10.1109\/IAdCC.2014.6779360"},{"key":"ref_22","unstructured":"EPC Information Services (EPCIS) Version 1.1, EPCglobal Ratified Specification. Available online: http:\/\/www.gs1.org\/sites\/default\/files\/docs\/epc\/epcis_1_1-standard-20140520.pdf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/S0268-4012(03)00066-5","article-title":"Managing traceability information in manufacture","volume":"23","author":"Beulens","year":"2003","journal-title":"Int. J. Inform. Manag."},{"key":"ref_24","first-page":"208","article-title":"Modeling of traceability information system for material flow control data","volume":"4","author":"Khabbazi","year":"2010","journal-title":"Aust. J. Basic Appl. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1016\/j.cad.2010.03.006","article-title":"Traceability and management of dispersed product knowledge during design and manufacturing","volume":"43","author":"Ouertani","year":"2011","journal-title":"Comput. Aided Des."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/j.ejor.2013.01.009","article-title":"RFID-enabled track and traceability in job-shop scheduling environment","volume":"227","author":"Chongwatpol","year":"2013","journal-title":"Eur. J. Oper. Res."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.rcim.2012.08.001","article-title":"RFID-enabled real-time manufacturing execution system for mass-customization production","volume":"29","author":"Zhong","year":"2013","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Huang, J., Zhu, Y., Cheng, B., Lin, C., and Chen, J. (2016). A PetriNet-based approach for supporting traceability in cyber-physical manufacturing systems. Sensors, 16.","DOI":"10.3390\/s16030382"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1007\/s00170-006-0897-4","article-title":"RFID-based wireless manufacturing for real-time management of job shop WIP inventories","volume":"36","author":"Huang","year":"2008","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"29478","DOI":"10.3390\/s151129478","article-title":"TF4SM: A framework for developing traceability solutions in small manufacturing companies","volume":"15","author":"Sanchez","year":"2015","journal-title":"Sensors"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"7581","DOI":"10.1016\/j.eswa.2008.09.068","article-title":"Development of an agent-based system for manufacturing control and coordination with ontology and RFID technology","volume":"36","author":"Chen","year":"2009","journal-title":"Expert Syst. Appl."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1016\/j.cirp.2011.03.040","article-title":"RFID-enabled gateway product service system for collaborative manufacturing alliances","volume":"60","author":"Huang","year":"2011","journal-title":"CIRP Ann. Manuf. Technol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1007\/s40436-014-0053-6","article-title":"Intelligent and integrated RFID (II-RFID) system for improving traceability in manufacturing","volume":"2","author":"Wang","year":"2014","journal-title":"Adv. Manuf."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/12\/2126\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:28:34Z","timestamp":1760210914000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/16\/12\/2126"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,14]]},"references-count":33,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2016,12]]}},"alternative-id":["s16122126"],"URL":"https:\/\/doi.org\/10.3390\/s16122126","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,14]]}}}