{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T13:57:22Z","timestamp":1742997442897,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031716447"},{"type":"electronic","value":"9783031716454"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-71645-4_4","type":"book-chapter","created":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T21:02:18Z","timestamp":1725742938000},"page":"49-64","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Dispatching of DDMRP Replenishment Orders"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3888-5927","authenticated-orcid":false,"given":"Lucas","family":"Alves","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7555-2123","authenticated-orcid":false,"given":"Maha","family":"Benali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0471-6706","authenticated-orcid":false,"given":"Pierre","family":"Baptiste","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,8]]},"reference":[{"issue":"7","key":"4_CR1","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1108\/IJOA-02-2022-3136","volume":"30","author":"B Taskan","year":"2022","unstructured":"Taskan, B., Jun\u00e7a-Silva, A., Caetano, A.: Clarifying the conceptual map of VUCA: a systematic review. Int. J. Organ. Anal. 30(7), 196\u2013217 (2022)","journal-title":"Int. J. Organ. Anal."},{"key":"4_CR2","series-title":"CSCI","first-page":"633","volume-title":"International Conference on Computational Science and Computational Intelligence 2021","author":"H Miguel","year":"2022","unstructured":"Miguel, H., Gonz\u00e1lez, G., Antonio, L., Moreno, G., Luisa, A., Corralejo, G.: Hybrid push-pull systems: classification, optimal methods and uncertainty. In: Gurrola, J. (ed.) International Conference on Computational Science and Computational Intelligence 2021. CSCI, vol. 1, pp. 633\u2013641. IEEE, Las Vegas (2022)"},{"key":"4_CR3","volume-title":"DDMRP Demand Driven Material Requirements Planning: Version 3","author":"C Ptak","year":"2019","unstructured":"Ptak, C., Smith, C.: DDMRP Demand Driven Material Requirements Planning: Version 3, 3rd edn. Industrial Press Inc., New York (2019)","edition":"3"},{"key":"4_CR4","series-title":"IESM","first-page":"1","volume-title":"International Conference on Industrial Engineering and Systems Management 2019","author":"G Dessevre","year":"2020","unstructured":"Dessevre, G., Martin, G., Baptiste, P., Lamothe, J., Pellerin, R., Lauras, M.: Decoupled lead time in finite capacity flowshop: a feedback loop approach. In: Zheng, F., Chu, F., Liu, M. (eds.) International Conference on Industrial Engineering and Systems Management 2019. IESM, vol. 1, pp. 1\u20136. IEEE, Shangai (2020)"},{"issue":"1","key":"4_CR5","first-page":"1","volume":"337","author":"M Shofa","year":"2018","unstructured":"Shofa, M., Moeis, A., Restiana, N.: Effective production planning for purchased part under long lead time and uncertain demand: MRP Vs demand-driven MRP. IOP Conf. Ser. Mater. Sci. Eng. 337(1), 1\u20137 (2018)","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"issue":"4","key":"4_CR6","first-page":"632","volume":"11","author":"A Kortabarria","year":"2018","unstructured":"Kortabarria, A., Apaolaza, U., Lizarralde, A., Amorrortu, I.: Material management without forecasting: from MRP to demand driven MRP. J. Ind. Eng. Manage. 11(4), 632\u2013650 (2018)","journal-title":"J. Ind. Eng. Manage."},{"issue":"3","key":"4_CR7","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1080\/00207543.2021.2015808","volume":"61","author":"G Dessevre","year":"2021","unstructured":"Dessevre, G., Baptiste, P., Lamothe, J., Pellerin, R.: Visual charts produced by simulation to correlate service rate, resource utilization and DDMRP parameters. Int. J. Prod. Res. 61(3), 741\u2013753 (2021)","journal-title":"Int. J. Prod. Res."},{"issue":"1","key":"4_CR8","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1080\/00207543.2018.1464230","volume":"57","author":"R Miclo","year":"2018","unstructured":"Miclo, R., Lauras, M., Fontanili, F., Lamothe, J., Melnyk, S.: Demand driven MRP: assessment of a new approach to materials management. Int. J. Prod. Res. 57(1), 166\u2013181 (2018)","journal-title":"Int. J. Prod. Res."},{"issue":"2","key":"4_CR9","first-page":"50","volume":"10","author":"M Pekarc\u0131kova","year":"2019","unstructured":"Pekarc\u0131kova, M., Trebuna, P., Kliment, M., Trojan, J.: Demand driven material requirements planning. Some methodical and practical comments. Manage. Prod. Eng. Rev. 10(2), 50\u201359 (2019)","journal-title":"Manage. Prod. Eng. Rev."},{"issue":"14","key":"4_CR10","doi-asserted-by":"publisher","first-page":"4233","DOI":"10.1080\/00207543.2019.1650978","volume":"58","author":"A Velasco Acosta","year":"2019","unstructured":"Velasco Acosta, A., Mascle, C., Baptiste, P.: Applicability of demand-driven MRP in a complex manufacturing environment. Int. J. Prod. Res. 58(14), 4233\u20134245 (2019)","journal-title":"Int. J. Prod. Res."},{"issue":"3","key":"4_CR11","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1080\/00207543.2020.1849847","volume":"60","author":"M Th\u00fcrer","year":"2020","unstructured":"Th\u00fcrer, M., Fernandes, N., Stevenson, M.: Production planning and control in multi-stage assembly systems: an assessment of Kanban, MRP, OPT (DBR) and DDMRP by simulation. Int. J. Prod. Res. 60(3), 1036\u20131050 (2020)","journal-title":"Int. J. Prod. Res."},{"key":"4_CR12","series-title":"FAIM LNME","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/978-3-031-38165-2_12","volume-title":"Flexible Automation and Intelligent Manufacturing 2023","author":"N Fernandes","year":"2024","unstructured":"Fernandes, N., Guedes, N., Th\u00fcrer, M., Ferreira, L., \u00c1vila, P.: How to prioritize replenishment orders in demand driven MRP: a simulation study. In: Silva, F., Ferreira, L., S\u00e1, J., Pereira, M., Pinto, C. (eds.) Flexible Automation and Intelligent Manufacturing 2023. FAIM LNME, vol. 2, pp. 95\u2013102. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-38165-2_12"},{"issue":"14","key":"4_CR13","doi-asserted-by":"publisher","first-page":"4863","DOI":"10.3390\/s21144836","volume":"21","author":"L Zhang","year":"2021","unstructured":"Zhang, L., Hu, Y., Tang, Q., Li, J., Li, Z.: Data-driven dispatching rules mining and real-time decision-making methodology in intelligent manufacturing shop floor with uncertainty. Sensors 21(14), 4863 (2021)","journal-title":"Sensors"},{"issue":"1","key":"4_CR14","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1080\/00207548208947745","volume":"20","author":"JH Blackstone","year":"1981","unstructured":"Blackstone, J.H., Phillips, D.T., Hogg, G.L.: A state-of-the-art survey of dispatching rules for manufacturing job shop operations. Int. J. Prod. Res. 20(1), 27\u201345 (1981)","journal-title":"Int. J. Prod. Res."},{"key":"4_CR15","series-title":"ECML PKDD, LNCS","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1007\/978-3-030-46133-1_39","volume-title":"Machine Learning and Knowledge Discovery in Databases 2019","author":"S Zheng","year":"2020","unstructured":"Zheng, S., Gupta, C., Serita, S.: Manufacturing dispatching using reinforcement and transfer learning. In: Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M., Robardet, C. (eds.) Machine Learning and Knowledge Discovery in Databases 2019. ECML PKDD, LNCS, vol. 11908, pp. 655\u2013671. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-46133-1_39"},{"issue":"2","key":"4_CR16","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.ijpe.2013.03.020","volume":"144","author":"A Hubl","year":"2013","unstructured":"Hubl, A., Jodlbauer, H., Altendorfer, K.: Influence of dispatching rules on average production lead time for multi-stage production systems. Int. J. Prod. Econ. 144(2), 479\u2013484 (2013)","journal-title":"Int. J. Prod. Econ."},{"key":"4_CR17","series-title":"APMS, IFIPAICT","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-319-99704-9_3","volume-title":"Advances in Production Management Systems 2018","author":"Y J\u00e4ger","year":"2018","unstructured":"J\u00e4ger, Y., Roser, C.: Effect of prioritization on the waiting time. In: Moon, I., Lee, G., Park, J., Kiritsis, D., von Cieminski, G. (eds.) Advances in Production Management Systems 2018. APMS, IFIPAICT, vol. 535, pp. 21\u201326. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99704-9_3"},{"key":"4_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cie.2022.108858","volume":"175","author":"G Martin","year":"2023","unstructured":"Martin, G., Lauras, M., Baptiste, P.: Dynamical multi-parameter sizing of DDMRP buffers in finite capacity flow-shops. Comput. Ind. Eng. 175, 1\u201310 (2023)","journal-title":"Comput. Ind. Eng."},{"issue":"16","key":"4_CR19","doi-asserted-by":"publisher","first-page":"5637","DOI":"10.1080\/00207543.2022.2109219","volume":"61","author":"A Azzamouri","year":"2023","unstructured":"Azzamouri, A., Baptiste, P., Pellerin, R., Dessevre, G.: Impact of the continuous and periodic assessment of a buffer replenishment on the DDMRP method. Int. J. Prod. Res. 61(16), 5637\u20135658 (2023)","journal-title":"Int. J. Prod. Res."},{"key":"4_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compind.2023.103874","volume":"147","author":"L Duhem","year":"2023","unstructured":"Duhem, L., Benali, M., Martin, G.: Parametrization of a demand-driven operating model using reinforcement learning. Comput. Ind. 147, 1\u201312 (2023)","journal-title":"Comput. Ind."},{"issue":"15","key":"4_CR21","doi-asserted-by":"publisher","first-page":"5134","DOI":"10.1080\/00207543.2022.2098074","volume":"61","author":"D Damand","year":"2023","unstructured":"Damand, D., Lahrichi, Y., Barth, M.: Parameterisation of demand-driven material requirements planning: a multi-objective genetic algorithm. Int. J. Prod. Res. 61(15), 5134\u20135155 (2023)","journal-title":"Int. J. Prod. Res."}],"container-title":["IFIP Advances in Information and Communication Technology","Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-71645-4_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T21:07:48Z","timestamp":1725743268000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-71645-4_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031716447","9783031716454"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-71645-4_4","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"8 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"APMS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Advances in Production Management Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chemnitz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"43","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apms2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.apms-conference.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}