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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Wednesday 20 November 2019

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  Call for Papers - November 2019     |     Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Forecasting of Sporadic Demand Patterns with Spare Parts


Volume 8, Issue 1, September 2014, Pages 237–242

 Forecasting of Sporadic Demand Patterns with Spare Parts

B. Vasumathi1 and Dr. A. Saradha2

1 Lecturer, Department of Computer Science & Applications, PGP College of Arts &Science, Namakkal, Tamil Nadu, India
2 Assist. Professor, Head of the Department of Computer science and Technology, Institute of Road Transport and Technology, Erode, Tamil Nadu, India

Original language: English

Received 21 July 2014

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Items with irregular and sporadic demand profiles are frequently tackled by companies, given the necessity of proposing wider and wider mix, along with characteristics of specific market fields (i.e., when spare parts are manufactured and sold). Furthermore, a new company entering into the market is featured by irregular customers' orders. Hence, consistent efforts are spent with the aim of correctly forecasting and managing irregular and sporadic products demand. In this paper, the problem of correctly forecasting customers' orders is analyzed by new method. Specifically, new proposal forecasting method (i.e., CUM modCr Method) for items are empirically analyzed and tested in the case of data coming from the industrial field and characterized by intermittence. Hence, in the conclusions section, new method produces better results than the existing method.

Author Keywords: Croston's Method, forward coverage, irregular demand, spare part, service parts inventory.


How to Cite this Article


B. Vasumathi and Dr. A. Saradha, “Forecasting of Sporadic Demand Patterns with Spare Parts,” International Journal of Innovation and Applied Studies, vol. 8, no. 1, pp. 237–242, September 2014.