Skip to the content

On the empirical performance of (T, s, S) heuristics

Babai, MZ, Syntetos, A and Teunter, R 2010, 'On the empirical performance of (T, s, S) heuristics' , European Journal of Operational Research, 202 (2) , pp. 466-472.

[img] PDF - Published Version
Restricted to Repository staff only

Download (276kB) | Request a copy

    Abstract

    The periodic ðT; s; SÞ policies have received considerable attention from the academic literature. Determination of the optimal parameters is computationally prohibitive, and a number of heuristic procedures have been put forward. However, these heuristics have never been compared in an extensive empirical study. Such an investigation on 3055 SKUs is carried out in this paper. Our study provides insights into the performance of ðT; s; SÞ heuristics, also in relation to demand forecasting. The results show that Naddor’s heuristic is best able to minimize the total cost. However, the normal and power approximations achieve more efficient solutions in that backorder volumes are smaller at the same inventory levels, indicating the potentially superior performance of these methods if the balancing of holding and backorder costs can be improved. The results also show that, for all heuristics, the SBA variant of the Croston forecasting method significantly outperforms Croston as well as Single Exponential Smoothing (SES).

    Item Type: Article
    Themes: Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Business & Law > Salford Business School > Operations and Global Logistics Management
    Journal or Publication Title: European Journal of Operational Research
    Publisher: Elsevier
    Refereed: Yes
    ISSN: 0377-2217
    Funders: Engineering and Physical Sciences Research Council (EPSRC)
    Depositing User: Professor Aris Syntetos
    Date Deposited: 13 Oct 2011 11:53
    Last Modified: 20 Jan 2014 20:53
    URI: http://usir.salford.ac.uk/id/eprint/18300

    Actions (login required)

    Edit record (repository staff only)

    Downloads per month over past year

    View more statistics