Abstract
This paper provides a new idea for approximating the inventory cost function to be used in a truncated dynamic program for solving the capacitated lot-sizing problem. The proposed method combines dynamic programming with regression, data fitting, and approximation techniques to estimate the inventory cost function at each stage of the dynamic program. The effectiveness of the proposed method is analyzed on various types of the capacitated lot-sizing problem instances with different cost and capacity characteristics. Computational results show that approximation approaches could significantly decrease the computational time required by the dynamic program and the integer program for solving different types of the capacitated lot-sizing problem instances. Furthermore, in most cases, the proposed approximate dynamic programming approaches can accurately capture the optimal solution of the problem with consistent computational performance over different instances.
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References
Adelman, D., Barz, C.: A unifying approximate dynamic programming model for the economic lot scheduling problem. Math. Oper. Res. 39(2), 374–402 (2013)
Atamtürk, A., Muñoz, J.C.: A study of the lot-sizing polytope. Math. Program. 99(3), 443–465 (2004)
Bellman, R., Kalaba, R., Kotkin, B.: Polynomial approximation: a new computational technique in dynamic programming: allocation processes. Math. Comput. 17, 155–161 (1963)
Bertsekas, D.P.: Dynamic Programming and Optimal Control, 3rd edition, vol. ii. Athena Scientific, Belmont (2011)
Bertsekas, D.P., Tsitsiklis, J.N.: Neuro-dynamic programming: an overview. In: Proceedings of the 34th IEEE Conference on, Decision and Control, 1995., volume 1, pp. 560–564, (1995)
Bitran, G.R., Haas, E.A., Hirofumi, M.: Production planning of style goods with high setup costs and forecast revisions. Oper. Res. 34(2), 226–236 (1986)
Büyüktahtakın, İ.E.: Dynamic programming via linear programming. In: Cochran Jr, J.J., Cox, L.A., Keskinocak, P., Kharoufeh, J.P., Smith, J.C. (eds.) Wiley Encyclopedia of Operations Research and Management Science. Wiley, Hoboken, NJ (2011)
Büyüktahtakın, İ.E.: Mixed Integer Programming Approaches to Lot-Sizing and Asset Replacement Problems. PhD thesis, Industrial and Systems Engineering, University of Florida, (2009)
Chen, H.D., Hearn, D.W., Lee, C.Y.: A new dynamic programming algorithm for the single item capacitated dynamic lot size model. J. Global Optim. 4(3), 285–300 (1994)
Chen, H.-D., Hearn, D.W., Lee, C.-Y.: A dynamic programming algorithm for dynamic lot size models with piecewise linear costs. J. Global Optim. 4(4), 397–413 (1994)
Federgruen, A., Tzur, M.: A simple forward algorithm to solve general dynamic lot sizing models with \(n\) periods in \({O}(n \log n)\) or \({O}(n)\) time. Manage. Sci. 37(8), 909–925 (1991)
Florian, M., Lenstra, J.K., Rinnooy Kan, A.H.G.: Deterministic production planning: algorithms and complexity. Manag. Sci. 26(7), 669–679 (1980)
Hartman, J.C., Büyüktahtakın, İ.E., Smith, J.C.: Dynamic-programming-based inequalities for the capacitated lot-sizing problem. IIE Trans. 42(12), 915–930 (2010)
Hudson, D.J.: Least-squares fitting of a polynomial constrained to be either non-negative non-decreasing or convex. J. R. Stat. Soc. Ser. B (Methodol.) 31(1), 113–118 (1969)
Klabjan, D., Simchi-Levi, D., Song, M.: Robust stochastic lot-sizing by means of histograms. Prod. Oper. Manag. 22(3), 691–710 (2013)
Kleywegt, A.J., Nori, V.S., Savelsbergh, M.W.P.: Dynamic programming approximations for a stochastic inventory routing problem. Transp. Sci. 38, 42–70 (2004)
Küçükyavuz, S.: Mixed-integer optimization approaches for deterministic and stochastic inventory management. In: Geunes, J.P. (ed.) INFORMS TutORials in Operations Research, vol. 8, pp. 90–105. INFORMS, Hanover, MD (2011)
Levi, R., Lodi, A., Sviridenko, M.: Approximation algorithms for the capacitated multi-item lot-sizing problem via flow-cover inequalities. Math. Oper. Res. 33(2), 416–474 (2008)
Muggeo, V.M.: Estimating regression models with unknown break-points. Stat. Med. Wiley Online Libr. 22, 3055–3071 (2003)
Nemhauser, G., Wolsey, L.A.: Integer and Combinatorial Optimization. Wiley, New York (1988)
Pochet, Y., Wolsey, L.A.: Solving multi-item lot-sizing problems using strong cutting planes. Manage. Sci. 37(1), 53–67 (1991)
Pochet, Y., Wolsey, L.A.: Production Planning by Mixed Integer Programming. Springer, Berlin (2006)
Powell, W.B.: An Approximate Dynamic Programming Approach to Multi-dimensional Knapsack Problems. Wiley, New York (2007)
Powell, W.B.: Perspectives of approximate dynamic programming. Ann. Oper. Res. 1–38 (2012)
Sutton, R., Barto, A.: Reinforcement Learning. MIT Press, Cambridge (1998)
Toriello, A., Nemhauser, G., Savelsbergh, M.: Decomposing inventory routing problems with approximate value functions. Naval Res. Logist. 57(8), 718–727 (2010)
Tsitsiklis, J.N., Van Roy, B.: Feature-based methods for largescale dynamic programming. Mach. Learn. 22, 59–94 (1996)
Van Hoesel, C.P.M., Wagelmans, A.P.M.: Fully polynomial approximation schemes for single-item capacitated economic lot-sizing problems. Math. Oper. Res. 26(2), 339–357 (2001)
Wagner, H.M., Whitin, T.M.: Dynamic version of the economic lot size model. Manage. Sci. 5, 89–96 (1958)
Acknowledgments
We gratefully acknowledge the support of the NSF under Grant No. EPS-0903806 and the state of Kansas through the Kansas Board of Regents, and the Strategic Engineering Research Fellowship (SERF) of the College of Engineering at Wichita State University. We also thank anonymous referees and the associate editor, whose remarks helped to clarify our exposition.
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Büyüktahtakın, İ.E., Liu, N. Dynamic programming approximation algorithms for the capacitated lot-sizing problem. J Glob Optim 65, 231–259 (2016). https://doi.org/10.1007/s10898-015-0349-5
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DOI: https://doi.org/10.1007/s10898-015-0349-5