{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:40:02Z","timestamp":1750192802936,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,21]],"date-time":"2020-06-21T00:00:00Z","timestamp":1592697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"German Bundesministerium f\u00fcr Wirtschaft und Energie","award":["03ET1558A"],"award-info":[{"award-number":["03ET1558A"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,21]]},"DOI":"10.1145\/3409915.3409923","type":"proceedings-article","created":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T16:15:58Z","timestamp":1596125758000},"page":"17-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning versus Statistical Methods in Demand Planning for Energy-Efficient Supply Chains"],"prefix":"10.1145","author":[{"given":"Lucas","family":"Schreiber","sequence":"first","affiliation":[{"name":"Fraunhofer Institute for Material Flow and Logistics, Joseph-von-Fraunhofer-Str. 2-4, Dortmund"}]},{"given":"Nikolas","family":"Moroff","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Material Flow and Logistics, Joseph-von-Fraunhofer-Str. 2-4, Dortmund"}]}],"member":"320","published-online":{"date-parts":[[2020,7,30]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Supply Chain Management, Marketing and Advertising, and Global Management","author":"Bidgoli H.","year":"2010","unstructured":"Bidgoli H. The Handbook of Technology Management , Supply Chain Management, Marketing and Advertising, and Global Management . Wiley 2010 . Bidgoli H. The Handbook of Technology Management, Supply Chain Management, Marketing and Advertising, and Global Management. Wiley 2010."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Marchi B Zanoni S. Supply Chain Management for Improved Energy Efficiency: Review and Opportunities. Energies 2017; 10(10): 1618 [https:\/\/doi.org\/10.3390\/en10101618]  Marchi B Zanoni S. Supply Chain Management for Improved Energy Efficiency: Review and Opportunities. Energies 2017; 10(10): 1618 [https:\/\/doi.org\/10.3390\/en10101618]","DOI":"10.3390\/en10101618"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-658-21412-8_14"},{"key":"e_1_3_2_1_4_1","volume-title":"Fla.: CRC Press","author":"Ravindran AR","year":"2017","unstructured":"Ravindran AR , Warsing DP. Supply chain engineering: Models and applications. Boca Raton , Fla.: CRC Press 2017 . Ravindran AR, Warsing DP. Supply chain engineering: Models and applications. Boca Raton, Fla.: CRC Press 2017."},{"key":"e_1_3_2_1_5_1","volume-title":"Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLoS One 2018","author":"Makridakis S","year":"1948","unstructured":"Makridakis S , Spiliotis E , Assimakopoulos V. Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLoS One 2018 ; 13(3) [https:\/\/doi.org\/10.1371\/journal.pone.0 1948 89][PMID:29584784] Makridakis S, Spiliotis E, Assimakopoulos V. Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLoS One 2018; 13(3) [https:\/\/doi.org\/10.1371\/journal.pone.0194889][PMID:29584784]"},{"key":"e_1_3_2_1_6_1","volume-title":"editors","author":"Setchi R","year":"2016","unstructured":"Setchi R , Howlett RJ , Liu Y , , editors . Sustainable Manufacturing Systems Based on Demand Forecasting---Supply Chain Sustainable Growth: Sustainable Design and Manufacturing 2016 . Springer International Publishing ; 2016. Setchi R, Howlett RJ, Liu Y, et al., editors. Sustainable Manufacturing Systems Based on Demand Forecasting---Supply Chain Sustainable Growth: Sustainable Design and Manufacturing 2016. Springer International Publishing; 2016."},{"key":"e_1_3_2_1_7_1","first-page":"53","volume":"200","author":"Srivastava SK.","unstructured":"Srivastava SK. Green supply-chain management: A state-of-the-art literature review. Int J Management Reviews 200 7; 9(1): 53 -- 80 [https:\/\/doi.org\/10.1111\/j.1468-2370.2007.00202.x] Srivastava SK. Green supply-chain management: A state-of-the-art literature review. Int J Management Reviews 2007; 9(1): 53--80 [https:\/\/doi.org\/10.1111\/j.1468-2370.2007.00202.x]","journal-title":"Int J Management Reviews"},{"key":"e_1_3_2_1_8_1","volume-title":"Disruptive supply network models in future industrial systems: configuring for resilience and sustainability: 17th Cambridge International Manufacturing Symposium: 19 and","author":"Parlings M","year":"2013","unstructured":"Parlings M , Cirullies J , Klingebiel K. A literature-based state of the art review on the identification and classifica-tion of supply chain design tasks . In: Disruptive supply network models in future industrial systems: configuring for resilience and sustainability: 17th Cambridge International Manufacturing Symposium: 19 and 20 September 2013 , M\u00f8ller Centre , Cambridge: symposium proceedings. Cambridge : Institute for Manufacturing Department of Engineering 2013 . Parlings M, Cirullies J, Klingebiel K. A literature-based state of the art review on the identification and classifica-tion of supply chain design tasks. In: Disruptive supply network models in future industrial systems: configuring for resilience and sustainability: 17th Cambridge International Manufacturing Symposium: 19 and 20 September 2013, M\u00f8ller Centre, Cambridge: symposium proceedings. Cambridge: Institute for Manufacturing Department of Engineering 2013."},{"key":"e_1_3_2_1_9_1","volume-title":"Applications","author":"An C","year":"2006","unstructured":"An C , Fromm H. Supply Chain Management on Demand: Strategies and Technologies , Applications . Springer Berlin Heidelberg 2006 . An C, Fromm H. Supply Chain Management on Demand: Strategies and Technologies, Applications. Springer Berlin Heidelberg 2006."},{"key":"e_1_3_2_1_10_1","volume-title":"Anwendungen und Forschungsbedarf","author":"D\u00f6bel I, Dr","year":"2018","unstructured":"D\u00f6bel I, Dr . Leis M , Vogelsang MM. Maschinelles Lernen - Kompetenzen , Anwendungen und Forschungsbedarf ; 2018 . D\u00f6bel I, Dr. Leis M, Vogelsang MM. Maschinelles Lernen - Kompetenzen, Anwendungen und Forschungsbedarf; 2018."},{"key":"e_1_3_2_1_11_1","first-page":"535","volume":"1973","author":"Schwarze J.","unstructured":"Schwarze J. Probleme der Fehlermessung bei quantitativen \u00f6konomischen Prognosen. Zeitschrift f\u00fcr die gesamte Staatswissenschaft\/Journal of Institutional and Theoretical Economics 1973 : 535 - 558 . Schwarze J. Probleme der Fehlermessung bei quantitativen \u00f6konomischen Prognosen. Zeitschrift f\u00fcr die gesamte Staatswissenschaft\/Journal of Institutional and Theoretical Economics 1973: 535-58.","journal-title":"Theoretical Economics"},{"key":"e_1_3_2_1_12_1","volume-title":"Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLoS One 2018","author":"Makridakis S","year":"1948","unstructured":"Makridakis S , Spiliotis E , Assimakopoulos V. Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLoS One 2018 ; 13(3): e0 1948 89. Makridakis S, Spiliotis E, Assimakopoulos V. Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLoS One 2018; 13(3): e0194889."},{"key":"e_1_3_2_1_13_1","volume-title":"Wie K\u00fcnstliche Intelligenz die Wertsch\u00f6pfung transformiert. Z-punkt The foresight company","author":"Neef A.","year":"2017","unstructured":"Neef A. Wie K\u00fcnstliche Intelligenz die Wertsch\u00f6pfung transformiert. Z-punkt The foresight company 2017 . Neef A. Wie K\u00fcnstliche Intelligenz die Wertsch\u00f6pfung transformiert. Z-punkt The foresight company 2017."},{"key":"e_1_3_2_1_14_1","volume-title":"Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems","author":"G\u00e9ron A.","year":"2017","unstructured":"G\u00e9ron A. Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems . O'Reilly Media, Inc 2017 . G\u00e9ron A. Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems. O'Reilly Media, Inc 2017."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/1571643"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2007.324"},{"key":"e_1_3_2_1_17_1","unstructured":"Fayyad U Piatetsky-Shapiro G Smyth P. From data mining to knowledge discovery in databases. AI magazine 1996; 17(3): 37.  Fayyad U Piatetsky-Shapiro G Smyth P. From data mining to knowledge discovery in databases. AI magazine 1996; 17(3): 37."},{"key":"e_1_3_2_1_18_1","volume-title":"Santos MF. KDD, SEMMA and CRISP-DM: a parallel overview. IADS-DM","author":"Azevedo","year":"2008","unstructured":"Azevedo , Ana Isabel Roj\u00e3o Louren\u00e7o , Santos MF. KDD, SEMMA and CRISP-DM: a parallel overview. IADS-DM 2008 . Azevedo, Ana Isabel Roj\u00e3o Louren\u00e7o, Santos MF. KDD, SEMMA and CRISP-DM: a parallel overview. IADS-DM 2008."},{"key":"e_1_3_2_1_19_1","first-page":"217","volume":"201","author":"Shafique U","unstructured":"Shafique U , Qaiser H. A comparative study of data mining process models (KDD, CRISP-DM and SEMMA). International Journal of Innovation and Scientific Research 201 4; 12(1): 217 -- 222 . Shafique U, Qaiser H. A comparative study of data mining process models (KDD, CRISP-DM and SEMMA). International Journal of Innovation and Scientific Research 2014; 12(1): 217--22.","journal-title":"Scientific Research"},{"key":"e_1_3_2_1_20_1","unstructured":"Fayyad U Piatetsky-Shapiro G Smyth P. From data mining to knowledge discovery in databases. AI magazine 1996; 17(3): 37.  Fayyad U Piatetsky-Shapiro G Smyth P. From data mining to knowledge discovery in databases. AI magazine 1996; 17(3): 37."},{"key":"e_1_3_2_1_21_1","volume-title":"CRISP-DM: Towards a standard process model for data mining","author":"Wirth R","year":"2000","unstructured":"Wirth R , Hipp J. CRISP-DM: Towards a standard process model for data mining . In: CRISP-DM: Towards a standard process model for data mining ; 2000 ; 29--39. Wirth R, Hipp J. CRISP-DM: Towards a standard process model for data mining. In: CRISP-DM: Towards a standard process model for data mining; 2000; 29--39."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/NAFIPS-WConSC.2015.7284207"},{"key":"e_1_3_2_1_23_1","volume-title":"Comparison between Nearest Neighbours and Bayesian Network for demand forecasting in supply chain management","author":"Gaur M","year":"2015","unstructured":"Gaur M , Goel S , Jain E. Comparison between Nearest Neighbours and Bayesian Network for demand forecasting in supply chain management . In: Comparison between Nearest Neighbours and Bayesian Network for demand forecasting in supply chain management ; 2015 ; 1433--6. Gaur M, Goel S, Jain E. Comparison between Nearest Neighbours and Bayesian Network for demand forecasting in supply chain management. In: Comparison between Nearest Neighbours and Bayesian Network for demand forecasting in supply chain management; 2015; 1433--6."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-22796-8_23"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICoCS.2014.7060941"},{"key":"e_1_3_2_1_26_1","first-page":"1140","volume":"200","author":"Carbonneau R","unstructured":"Carbonneau R , Laframboise K , Vahidov R. Application of machine learning techniques for supply chain demand forecasting. European Journal of Operational Research 200 8; 184(3): 1140 -- 1154 . Carbonneau R, Laframboise K, Vahidov R. Application of machine learning techniques for supply chain demand forecasting. European Journal of Operational Research 2008; 184(3): 1140--54.","journal-title":"Operational Research"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2018.8407756"},{"key":"e_1_3_2_1_28_1","volume-title":"Wie k\u00fcnstliche Intelligenz bei der Drogeriemarktkette Mehrwert schafft","author":"Erfolgreicher Einsatz","year":"2019","unstructured":"Erfolgreicher Einsatz von Bedarfsprognosen bei dm : Wie k\u00fcnstliche Intelligenz bei der Drogeriemarktkette Mehrwert schafft ; 2019 [cited 2019 April 26] Erfolgreicher Einsatz von Bedarfsprognosen bei dm: Wie k\u00fcnstliche Intelligenz bei der Drogeriemarktkette Mehrwert schafft; 2019 [cited 2019 April 26]"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISS1.2017.8389297"},{"key":"e_1_3_2_1_30_1","first-page":"13","volume":"200","author":"Aggarwal SK","unstructured":"Aggarwal SK , Saini LM , Kumar A. Electricity price forecasting in deregulated markets: A review and evaluation. International Journal of Electrical Power & Energy Systems 200 9; 31(1): 13 -- 22 . Aggarwal SK, Saini LM, Kumar A. Electricity price forecasting in deregulated markets: A review and evaluation. International Journal of Electrical Power & Energy Systems 2009; 31(1): 13--22.","journal-title":"Energy Systems"}],"event":{"name":"ICoMS 2020: 2020 3rd International Conference on Mathematics and Statistics","sponsor":["Universidade Nova de Lisboa"],"location":"Paris France","acronym":"ICoMS 2020"},"container-title":["Proceedings of the 2020 3rd International Conference on Mathematics and Statistics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409915.3409923","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3409915.3409923","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:07Z","timestamp":1750191427000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409915.3409923"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,21]]},"references-count":30,"alternative-id":["10.1145\/3409915.3409923","10.1145\/3409915"],"URL":"https:\/\/doi.org\/10.1145\/3409915.3409923","relation":{},"subject":[],"published":{"date-parts":[[2020,6,21]]},"assertion":[{"value":"2020-07-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}