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Calculation of the Approaches to Cycle Service Level in Continuous Review Policy: A Tool for Corporate Entrepreneur

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  • Sofia Estelles-Miguel
  • Manuel Cardos
  • Jose Miguel Albarracin Guillem
  • Marta Palmer Gato

Abstract

This paper presents two new approximations to compute the Cycle Service Level (CSL) in a continuous review policy, as a tool for corporate entrepreneur. These approximations are not only for the backordering case but also for the lost sales one. In order to develop it we focus on transforming a form of periodic review policy in a model of continuous review policies. As a result, the analogy and the transformation proposed in this paper are different from Silver classical model. Due to huge complexity of the exact CSL calculus the aproximate methods are needed.The entrepreneurial dimension, based on internal reorganization and innovation, is an inherent, indispensable part of the discovery and creation of opportunities. Accordingly, this article contributes to the firms¡ä pursuit of competitive advantages by presenting methods of internal management for corporate entrepreneurship. Efficient stock-taking is a key issue for lowering production cost and boosting competitive advantages, and, by examining this area, this paper makes a significant contribution to the study of corporate entrepreneurship.

Suggested Citation

  • Sofia Estelles-Miguel & Manuel Cardos & Jose Miguel Albarracin Guillem & Marta Palmer Gato, 2014. "Calculation of the Approaches to Cycle Service Level in Continuous Review Policy: A Tool for Corporate Entrepreneur," Business and Management Research, Business and Management Research, Sciedu Press, vol. 3(1), pages 54-60, March.
  • Handle: RePEc:jfr:bmr111:v:3:y:2014:i:1:p:54-60
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    References listed on IDEAS

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    1. Morris A. Cohen & Paul R. Kleindorfer & Hau L. Lee, 1988. "Service Constrained (s, S) Inventory Systems with Priority Demand Classes and Lost Sales," Management Science, INFORMS, vol. 34(4), pages 482-499, April.
    2. L W G Strijbosch & R M J Heuts & E H M van der Schoot, 2000. "A combined forecast—inventory control procedure for spare parts," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(10), pages 1184-1192, October.
    3. C Larsen & A Thorstenson, 2008. "A comparison between the order and the volume fill rate for a base-stock inventory control system under a compound renewal demand process," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 798-804, June.
    4. M Cardós & C Miralles & L Ros, 2006. "An exact calculation of the cycle service level in a generalized periodic review system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(10), pages 1252-1255, October.
    5. Vereecke, Ann & Verstraeten, Peter, 1994. "An inventory management model for an inventory consisting of lumpy items, slow movers and fast movers," International Journal of Production Economics, Elsevier, vol. 35(1-3), pages 379-389, June.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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