{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:19:12Z","timestamp":1760710752942,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030876715"},{"type":"electronic","value":"9783030876722"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-87672-2_28","type":"book-chapter","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T21:02:46Z","timestamp":1632258166000},"page":"429-441","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Equipment Dispatching Problem for Underground Mine Under Stochastic Working Times"],"prefix":"10.1007","author":[{"given":"Nour El Houda","family":"Hammami","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amel","family":"Jaoua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Safa Bhar","family":"Layeb","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,22]]},"reference":[{"issue":"12","key":"28_CR1","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.17159\/2411-9717\/2018\/v118n12a5","volume":"118","author":"M \u00c5strand","year":"2018","unstructured":"\u00c5strand, M., Johansson, M., Greberg, J.: Underground mine scheduling modelled as a flow shop: a review of relevant work and future challenges. J. South Afr. Inst. Min. Metall. 118(12), 1265\u20131276 (2018a)","journal-title":"J. South Afr. Inst. Min. Metall."},{"key":"28_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1007\/978-3-319-93031-2_44","volume-title":"Integration of Constraint Programming, Artificial Intelligence, and Operations Research","author":"M \u00c5strand","year":"2018","unstructured":"\u00c5strand, M., Johansson, M., Zanarini, A.: Fleet scheduling in underground mines using constraint programming. In: van Hoeve, W.-J. (ed.) CPAIOR 2018. LNCS, vol. 10848, pp. 605\u2013613. Springer, Cham (2018b). https:\/\/doi.org\/10.1007\/978-3-319-93031-2_44"},{"key":"28_CR3","doi-asserted-by":"crossref","unstructured":"Beaulieu, M., Gamache, M.: An enumeration algorithm for solving the fleet management problem in underground mines. Comput. Oper. Res. 33(6), 1606\u20131624 (2006)","DOI":"10.1016\/j.cor.2004.11.016"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Campeau, L.P., Gamache, M.: Short-term planning optimization model for underground mines.\u00a0Comput. Oper. Res.\u00a0115, 104642 (2020)","DOI":"10.1016\/j.cor.2019.02.005"},{"issue":"3","key":"28_CR5","doi-asserted-by":"publisher","first-page":"844","DOI":"10.1016\/j.ejor.2018.02.023","volume":"269","author":"AS Elgesem","year":"2018","unstructured":"Elgesem, A.S., Skogen, E.S., Wang, X., Fagerholt, K.: A traveling salesman problem with pickups and deliveries and stochastic travel times: An application from chemical shipping. Eur. J. Oper. Res. 269(3), 844\u2013859 (2018)","journal-title":"Eur. J. Oper. Res."},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"Guimarans, D., Dominguez, O., Panadero, J., Juan, A.A.: A simheuristic approach for the two-dimensional vehicle routing problem with stochastic travel times. Simul. Modell. Pract. Theory 89, 1\u201314 (2018)","DOI":"10.1016\/j.simpat.2018.09.004"},{"issue":"5","key":"28_CR7","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1080\/17480930.2019.1584952","volume":"34","author":"J Hou","year":"2020","unstructured":"Hou, J., Li, G., Wang, H., Hu, N.: Genetic algorithm to simultaneously optimise stope sequencing and equipment dispatching in underground short-term mine planning under time uncertainty. Int. J. Min. Reclam. Environ. 34(5), 307\u2013325 (2020)","journal-title":"Int. J. Min. Reclam. Environ."},{"key":"28_CR8","unstructured":"Jaoua, A., Layeb, S.B., Rekik, A., Chaouachi, J.: The shared customer collaboration with stochastic travel times for urban last-mile delivery. In: Sustainable City Logistics Planning: Methods and Applications, vol. 1, chapter III, pp. 63\u201396. Nova science publishers (2020)"},{"issue":"1","key":"28_CR9","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.ejor.2016.07.021","volume":"257","author":"B King","year":"2017","unstructured":"King, B., Goycoolea, M., Newman, A.: Optimizing the open pit-to-underground mining transition. Eur. J. Oper. Res. 257(1), 297\u2013309 (2017)","journal-title":"Eur. J. Oper. Res."},{"key":"28_CR10","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.cie.2018.09.021","volume":"126","author":"SB Layeb","year":"2018","unstructured":"Layeb, S.B., Jaoua, A., Jbira, A., Makhlouf, Y.: A simulation-optimization approach for scheduling in stochastic freight transportation. Comput. Ind. Eng. 126, 99\u2013110 (2018)","journal-title":"Comput. Ind. Eng."},{"issue":"3","key":"28_CR11","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1007\/s11081-020-09496-w","volume":"21","author":"F Manr\u00edquez","year":"2020","unstructured":"Manr\u00edquez, F., P\u00e9rez, J., Morales, N.: A simulation\u2013optimization framework for short-term underground mine production scheduling. Optim. Eng. 21(3), 939\u2013971 (2020). https:\/\/doi.org\/10.1007\/s11081-020-09496-w","journal-title":"Optim. Eng."},{"issue":"7","key":"28_CR12","first-page":"240","volume":"5","author":"M Mohammadi","year":"2015","unstructured":"Mohammadi, M., Rai, P., Gupta, S.: Performance measurement of mining equipment. Int. J. Emerg. Technol. Adv. Eng. 5(7), 240\u2013248 (2015)","journal-title":"Int. J. Emerg. Technol. Adv. Eng."},{"issue":"3","key":"28_CR13","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1080\/25726668.2019.1577596","volume":"128","author":"C Paduraru","year":"2019","unstructured":"Paduraru, C., Dimitrakopoulos, R.: Responding to new information in a mining complex: fast mechanisms using machine learning. Min. Technol. 128(3), 129\u2013142 (2019)","journal-title":"Min. Technol."},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"Samatemba, B., Zhang, L., Besa, B. Evaluating and optimizing the effectiveness of mining equipment; the case of Chibuluma South underground mine. J. Cleaner Prod. 252, 119697 (2020)","DOI":"10.1016\/j.jclepro.2019.119697"},{"key":"28_CR15","doi-asserted-by":"crossref","unstructured":"Song, Z., Schunnesson, H., Rinne, M., Sturgul, J.: Intelligent scheduling for underground mobile mining equipment. PLoS One, 10(6), e0131003 (2015)","DOI":"10.1371\/journal.pone.0131003"},{"key":"28_CR16","doi-asserted-by":"crossref","unstructured":"Yu, X., Zhou, L., Zhang, F.: Self-localization algorithm for deep mine wireless sensor networks based on MDS and rigid subset. In: 2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP), pp. 6\u201310. IEEE, July 2017","DOI":"10.1109\/OPTIP.2017.8030688"}],"container-title":["Lecture Notes in Computer Science","Computational Logistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87672-2_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T17:36:35Z","timestamp":1725816995000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87672-2_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030876715","9783030876722"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87672-2_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"22 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Logistics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccl22021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccl2021.nl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"111","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}