Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Advance Journal of Food Science and Technology


Research on a General Model for Spare Products Food Consumption Forecasting

Shenyang Liu, Qi Gao, Si Li, Tielu Gao and Zhiwei Li
Department of Product Command and Management, Mechanical Engineering College, Xinhua District, Shijiazhuang, 050003, China
Advance Journal of Food Science and Technology   2016  7:522-526
http://dx.doi.org/10.19026/ajfst.10.2177  |  © The Author(s) 2016
Received: May ‎7, ‎2015  |  Accepted: June ‎22, ‎2015  |  Published: March 05, 2016

Abstract

This study establishes a general model of spares products food consumption forecasting based on various marketing strategies. Considering two marketing strategies of components called "non-replacement" and "condition based replacement" applied to inspection and three marketing strategies of components called "non-replacement", "certain replacement" and "condition based replacement" applied to regular marketing, on the basis of analyzing four factors which include components lives, remaining lives of components, the age of the product and next year’s operation time, At last, an example is taken to illustrate the applicability of the general model. The general model provides a scientific basis for choosing spares storage amount reasonably.

Keywords:

Food consumption, general model, marketing strategies,


References

  1. Cheng, K.L. and W.H. Hausman, 2003. Multiple failure in a multi-item spares inventory model. Nav. Res. Log., 4: 13-14.
  2. Li, S. and K. Liu, 2003. Optimized dynamic exponential smoothing model and its applications. J. Syst. Eng., 18: 163-167.
  3. Ni, X., H. Zuo, F.T. Chen and X. Rong, 2009. Civil aircraft rotable spare products forecasting. J. Nanjing Univ., Aeronaut. Astronaut., 41: 253-256.
  4. Xu, D., 2013. A further study on the exponential smoothing estimation method for parameters of forecasting model and its application. Syst. Eng. Theor. Pract., 2: 25-30.
  5. Xu, T., A. Du and H. Cheng, 2012. Food consumption law forecast of missile spare products based on rough set theory and BPNN. J. Naval Aeronaut. Astronaut. Univ., 27: 570-574.
  6. Yang, S., J. Guo, X. Dong and Z. Li, 2012. Combination prediction method for aerial spare parts based on LSSVM and entropy. Fire Control Command Control, 37: 154-157.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved