dc.contributor.author | Chepkoit, C. K. | |
dc.date.accessioned | 2013-06-25T15:38:41Z | |
dc.date.available | 2013-06-25T15:38:41Z | |
dc.date.issued | 1992 | |
dc.identifier.citation | Masters of Business Administration, University of Nairobi | en |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/39972 | |
dc.description.abstract | KNTC plays a major role in the economy of this country. It
is the main distributing agent of essential commodities from both
domestic production and imports. The corporation handles
provision and produce and hardware products. Like many other
business organisations, KNTC faces problems in availing these
products to the consumers in the right quantities at the right
time. Among these problems include the sales forecast of these
products, especially sugar. OR techniques could be utilized in
solving this problem. It is within such a background that this
study .was. initiated to see if KNTC' s sugar sales could be
modeled using time series.
The study developed forecasting models for sugar demand in
34 depots. In constructing these models, the researcher
considered both technical and managerial aspects as viewed by
KNTC management. The models were validated by using one year
data.
The models developed were found to be predicting demand for
sugar fairly good. These models were validated by using one-year
data and comparison between the predicted and the actual sugar
demand for that year showed minimal variation.
The need for an OR specialist in KNTC management has been
recommended. Such a specialist would develop an efficient and
effective sugar distribution system with the help of other
officers of the corporation | en |
dc.language.iso | en | en |
dc.publisher | University of Nairobi, | en |
dc.title | A methodology for forecasting sugar demand : the case of Kenya National Trading Corporation (KNTC) | en |
dc.type | Thesis | en |
local.publisher | School of Business | en |