A Dynamic Lot-Sizing Model with Demand Time Windows
AbstractOne of the basic assumptions of the classical dynamic lot-sizing model is that theaggregate demand of a given period must be satisfied in that period. Under thisassumption, if backlogging is not allowed then the demand of a given period cannotbe delivered earlier or later than the period. If backlogging is allowed, the demandof a given period cannot be delivered earlier than the period, but can be deliveredlater at the expense of a backordering cost. Like most mathematical models, theclassical dynamic lot-sizing model is a simplified paraphrase of what might actuallyhappen in real life. In most real life applications, the customer offers a graceperiod - we call it a demand time window - during which a particular demand can besatisfied with no penalty. That is, in association with each demand, the customerspecifies an earliest and a latest delivery time. The time interval characterizedby the earliest and latest delivery dates of a demand represents the correspondingtime window.This paper studies the dynamic lot-sizing problem with demand time windows andprovides polynomial time algorithms for computing its solution. If shortages arenot allowed, the complexity of the proposed algorithm is order T square. Whenbacklogging is allowed, the complexity of the proposed algorithm is order T cube.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 99-095/4.
Date of creation: 22 Dec 1999
Date of revision:
Contact details of provider:
Web page: http://www.tinbergen.nl
lot-sizing; dynamic programming; time windows;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2000-01-11 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Dong X. Shaw & Albert P. M. Wagelmans, 1998. "An Algorithm for Single-Item Capacitated Economic Lot Sizing with Piecewise Linear Production Costs and General Holding Costs," Management Science, INFORMS, vol. 44(6), pages 831-838, June.
- Harvey M. Wagner & Thomson M. Whitin, 1958. "Dynamic Version of the Economic Lot Size Model," Management Science, INFORMS, vol. 5(1), pages 89-96, October.
- Hoesel, C.P.M. van & Wagelmans, A.P.M., 1997. "Fully Polynomial Approximation Schemes for Single-Item Capacitated Economic Lot-Sizing Problems," Econometric Institute Report EI 9735/A, Erasmus University Rotterdam, Econometric Institute.
- Gabriel R. Bitran & Thomas L. Magnanti & Horacio H. Yanasse, 1984. "Approximation Methods for the Uncapacitated Dynamic Lot Size Problem," Management Science, INFORMS, vol. 30(9), pages 1121-1140, September.
- Hoesel,C.P.M.,van & Wagelmans,A.P.M., 1997. "Fully polynomial approximation schemes for single-item capacitated economic lot-sizing problems," Research Memoranda 014, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
- Awi Federgruen & Michal Tzur, 1991. "A Simple Forward Algorithm to Solve General Dynamic Lot Sizing Models with n Periods in 0(n log n) or 0(n) Time," Management Science, INFORMS, vol. 37(8), pages 909-925, August.
- Wagelmans, Albert & Hoesel, Stan van & Kolen, Antoon, 1992. "Economic Lot-Sizing: An O(n log n) algorithm that runs in linear time in the Wagner-Whitin case," Open Access publications from Maastricht University urn:nbn:nl:ui:27-3691, Maastricht University.
- Willard I. Zangwill, 1966. "A Deterministic Multi-Period Production Scheduling Model with Backlogging," Management Science, INFORMS, vol. 13(1), pages 105-119, September.
- Liman, Surya D. & Panwalkar, Shrikant S. & Thongmee, Sansern, 1996. "Determination of common due window location in a single machine scheduling problem," European Journal of Operational Research, Elsevier, vol. 93(1), pages 68-74, August.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Antoine Maartens (+31 626 - 160 892)).
If references are entirely missing, you can add them using this form.