Évaluation de la fiabilité d’un système de prévision de la demande dans le cas d’une politique de regroupement des besoins

Alice Yalaoui; Éric Châtelet; Chengbin Chu[1]

  • [1] UTT, LOSI, 12 rue Marie Curie, BP 2060, 10010 Troyes Cedex, France

RAIRO - Operations Research - Recherche Opérationnelle (2003)

  • Volume: 37, Issue: 4, page 325-335
  • ISSN: 0399-0559

Abstract

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To establish production plans or replenishment plans, firms use forecasting systems. Such a system is composed of a forecasting method and a lot-sizing method. We propose a scheme to evaluate the reliability of such a system. This evaluation is based on the impact of demand randomness on the long run total cost. The scheme is illustrated with a system including an exponential smoothing technique for the demand forcasting and the Florian and Klein [5] method for the lot-sizing. Simulation results show that such a system is quite reliable.

How to cite

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Yalaoui, Alice, Châtelet, Éric, and Chu, Chengbin. "Évaluation de la fiabilité d’un système de prévision de la demande dans le cas d’une politique de regroupement des besoins." RAIRO - Operations Research - Recherche Opérationnelle 37.4 (2003): 325-335. <http://eudml.org/doc/245028>.

@article{Yalaoui2003,
abstract = {To establish production plans or replenishment plans, firms use forecasting systems. Such a system is composed of a forecasting method and a lot-sizing method. We propose a scheme to evaluate the reliability of such a system. This evaluation is based on the impact of demand randomness on the long run total cost. The scheme is illustrated with a system including an exponential smoothing technique for the demand forcasting and the Florian and Klein [5] method for the lot-sizing. Simulation results show that such a system is quite reliable.},
affiliation = {UTT, LOSI, 12 rue Marie Curie, BP 2060, 10010 Troyes Cedex, France},
author = {Yalaoui, Alice, Châtelet, Éric, Chu, Chengbin},
journal = {RAIRO - Operations Research - Recherche Opérationnelle},
keywords = {prévisions; lot-sizing; simulation; fiabilité},
language = {eng},
number = {4},
pages = {325-335},
publisher = {EDP-Sciences},
title = {Évaluation de la fiabilité d’un système de prévision de la demande dans le cas d’une politique de regroupement des besoins},
url = {http://eudml.org/doc/245028},
volume = {37},
year = {2003},
}

TY - JOUR
AU - Yalaoui, Alice
AU - Châtelet, Éric
AU - Chu, Chengbin
TI - Évaluation de la fiabilité d’un système de prévision de la demande dans le cas d’une politique de regroupement des besoins
JO - RAIRO - Operations Research - Recherche Opérationnelle
PY - 2003
PB - EDP-Sciences
VL - 37
IS - 4
SP - 325
EP - 335
AB - To establish production plans or replenishment plans, firms use forecasting systems. Such a system is composed of a forecasting method and a lot-sizing method. We propose a scheme to evaluate the reliability of such a system. This evaluation is based on the impact of demand randomness on the long run total cost. The scheme is illustrated with a system including an exponential smoothing technique for the demand forcasting and the Florian and Klein [5] method for the lot-sizing. Simulation results show that such a system is quite reliable.
LA - eng
KW - prévisions; lot-sizing; simulation; fiabilité
UR - http://eudml.org/doc/245028
ER -

References

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  1. [1] G. Baglin, O. Bruel, A. Garreau, M. Greif et C. van Delft, Management Industriel et logistique. 3 e édition, Gestion Economica (2001). 
  2. [2] G.R. Bitran and H.H. Yanasse, Computational complexity of the capacitated lot-size problem. Manage. Sci. 28 (1982) 1174-1186. Zbl0502.90046MR688762
  3. [3] A. Drexl and A. Kimms, Lot sizing and scheduling – Survey and extensions. Eur. J. Oper. Res. 99 (1997) 221-235. Zbl0923.90067
  4. [4] L. Dupont, La gestion industrielle. Paris, Hermes (1998). 
  5. [5] M. Florian and M. Klein, Deterministic production planning with concave with concave costs and capacity constraints. Manage. Sci. 18 (1971) 12-20. Zbl0273.90023MR307681
  6. [6] M. Florian, J.K. Lenstra and A.H.G. Rinnooy Kan, Deterministic production Planning Algorithms and Complexity. Manage. Sci. 26 (1980) 669-679. Zbl0445.90025MR591292
  7. [7] R. Jagannathan and M.R.A. Rao, Class of deterministic producting planning problems. Manage. Sci. 19 (1973) 1295-1300. 
  8. [8] J. Jeunet, Modèles d’approvisionnement du type MRP : évaluation et robustesse. Thèse, Université de Strasbourg I, France (1997). 
  9. [9] J. Jeunet and N. Jonard, Measuring the performance of lot-sizing techniques in uncertain environments. Int. J. Prod. Econom. 64 (2000) 197-208. 
  10. [10] S.G. Johansen, Lot sizing for varying degrees of demand uncertainty. Int. J. Prod. Econom. 59 (1999) 405-414. 
  11. [11] R. Kuik, M. Salomon and L.N. van Wassenhove, Batching decisions: structure and models. Eur. J. Oper. Res. 75 (1994) 243-263. 
  12. [12] C. Saydam and J.R. Evans, A comparative performance analysis of the Wagner-Within algorithm and lot-sizing heuristics. Comput. Ind. Engng. 18 (1990) 91-93. 
  13. [13] C.P.M. Van Hoesel and A.P.M. Wagelmans, An O(T 3 ) algorithm for the economic Lot-sizing Problem with Constant Capacity. Manage. Sci. 42 (1996) 142-150. Zbl0851.90058
  14. [14] H.M. Wagner and T.M. Whitin, Dynamic Version of the economic lot-size Modem. Manage. Sci. 5 (1958) 89-96. Zbl0977.90500MR102442
  15. [15] P.R. Winters, Forecasting Sales by Exponentally Weighted Moving Averages. Manage. Sci. 6 (1960) 324-342. Zbl0995.90562MR112740

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