Modeling and optimizing a vendor managed replenishment system using machine learning and genetic algorithms
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- Naso, D. & Surico, M. & Turchiano, B. & Kaymak, U., 2004. "Genetic Algorithms in Supply Chain Scheduling of Ready-Mixed Concrete," ERIM Report Series Research in Management ERS-2004-096-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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Cited by:
- Adrian MICU & Angela Eliza MICU & Kamer AIVAZ & Alexandru CAPATINA, 2016. "The Genetic Approach Of Marketing Research," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 229-246.
- Rad, Reza Hosseini & Razmi, Jafar & Sangari, Mohamad Sadegh & Ebrahimi, Zahra Fallah, 2014. "Optimizing an integrated vendor-managed inventory system for a single-vendor two-buyer supply chain with determining weighting factor for vendor׳s ordering cost," International Journal of Production Economics, Elsevier, vol. 153(C), pages 295-308.
- Fajemisin, Adejuyigbe O. & Maragno, Donato & den Hertog, Dick, 2024. "Optimization with constraint learning: A framework and survey," European Journal of Operational Research, Elsevier, vol. 314(1), pages 1-14.
- Murtaza Nasir & Nichalin Summerfield & Ali Dag & Asil Oztekin, 2020. "A service analytic approach to studying patient no-shows," Service Business, Springer;Pan-Pacific Business Association, vol. 14(2), pages 287-313, June.
- Xu, Kefeng & Leung, Mark T., 2009. "Stocking policy in a two-party vendor managed channel with space restrictions," International Journal of Production Economics, Elsevier, vol. 117(2), pages 271-285, February.
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