Approximation Methods for the Uncapacitated Dynamic Lot Size Problem
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- van den Heuvel, W.J. & Wagelmans, A.P.M., 2008. "A holding cost bound for the economic lot-sizing problem with time-invariant cost parameters," Econometric Institute Research Papers EI 2008-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Safer, Hershel M. & Orlin, James B., 1953-, 1995. "Fast approximation schemes for multi-criteria flow, knapsack, and scheduling problems," Working papers 3757-95., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Chung-Yee Lee & Sila Çetinkaya & Albert P. M. Wagelmans, 2001. "A Dynamic Lot-Sizing Model with Demand Time Windows," Management Science, INFORMS, vol. 47(10), pages 1384-1395, October.
- Chung-Yee Lee & Sila Çetinkaya & Albert P.M. Wagelmans, 1999. "A Dynamic Lot-Sizing Model with Demand Time Windows," Tinbergen Institute Discussion Papers 99-095/4, Tinbergen Institute.
- Ganas, Ioannis S. & Papachristos, Sotirios, 1997. "Analytical evaluation of heuristics performance for the single-level lot-sizing problem for products with constant demand," International Journal of Production Economics, Elsevier, vol. 48(2), pages 129-139, January.
- Hiroshi Konno & Takaaki Egawa & Rei Yamamoto, 2009. "Comparative studies on dynamic programming and integer programming approaches for concave cost production/inventory control problems," Computational Management Science, Springer, vol. 6(4), pages 447-457, October.
- Wilco Van den Heuvel & Albert P. M. Wagelmans, 2010.
"Worst-Case Analysis for a General Class of Online Lot-Sizing Heuristics,"
INFORMS, vol. 58(1), pages 59-67, February.
- van den Heuvel, W. & Wagelmans, A.P.M., 2007. "Worst case analysis for a general class of on-line lot-sizing heuristics," Econometric Institute Research Papers EI 2007-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Massonnet, G. & Gayon, J.-P. & Rapine, C., 2014. "Approximation algorithms for deterministic continuous-review inventory lot-sizing problems with time-varying demand," European Journal of Operational Research, Elsevier, vol. 234(3), pages 641-649.
- Lee, C.Y. & Cetinkaya, S. & Wagelmans, A.P.M., 1999. "A dynamic lot-sizing model with demand time windows," Econometric Institute Research Papers EI 9948-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Jans, Raf & Degraeve, Zeger, 2007. "Meta-heuristics for dynamic lot sizing: A review and comparison of solution approaches," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1855-1875, March.
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Keywordsinventory/production: lot sizing;
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