{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T02:45:53Z","timestamp":1761965153248,"version":"3.44.0"},"reference-count":9,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/ieem44572.2019.8978721","type":"proceedings-article","created":{"date-parts":[[2020,2,3]],"date-time":"2020-02-03T21:27:12Z","timestamp":1580765232000},"page":"349-353","source":"Crossref","is-referenced-by-count":7,"title":["Collaborative Technological Process Planning with 5G Mobile Networks and Digital Tools: Manufacturing Environments' Perspective"],"prefix":"10.1109","author":[{"given":"R.","family":"Wdowik","sequence":"first","affiliation":[{"name":"The Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology,Poland"}]},{"given":"R. M. Chandima","family":"Ratnayake","sequence":"additional","affiliation":[{"name":"University of Stavanger,Department of Mechanical and Structural Engineering and Materials Science,Norway"}]}],"member":"263","reference":[{"journal-title":"GSMA Intelligence","article-title":"ANALYSIS Understanding 5G: Perspectives on future technological advancements in mobile","year":"0","key":"ref4"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1016\/j.procir.2017.12.247","article-title":"Integration of different computer-aided systems in product designing and process planning","volume":"67","author":"kutin","year":"0","journal-title":"Procedia CIRP"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2018.09.054"},{"journal-title":"HANNOVER MESSE 2019","year":"0","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2019.02.008"},{"key":"ref7","first-page":"1098","article-title":"Artificial Neural Network model for risk-based inspection screening assessment of oil and gas production system","author":"rachman","year":"2018","journal-title":"Proc of 28th (2018) Int Ocean and Polar Engineering Conf Sapporo"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-006-0534-2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99127-6_39"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2016.02.002"}],"event":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","start":{"date-parts":[[2019,12,15]]},"location":"Macao, China","end":{"date-parts":[[2019,12,18]]}},"container-title":["2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8961317\/8978490\/08978721.pdf?arnumber=8978721","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T18:35:20Z","timestamp":1755714920000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8978721\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1109\/ieem44572.2019.8978721","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}