Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
1990-9-7
pubmed:abstractText
Assessment of the state of practice in forecasting production demand in foodservice operations is needed to provide a base for research in model development and implementation. A survey to document the forecasting techniques utilized by foodservice directors was administered to the 464 members of the National Association of College and University Food Services; 282 questionnaires (60.7%) were returned. Fewer than 16% of the respondents used mathematical models for forecasting demand. The moving average technique was the most frequently used mathematical model (8.5%). Variations of the naive or nonmathematical model were used by the majority of respondents. Judgment based on the past records was the most frequently cited variation (89.4%). The foodservice director/manager was the person most frequently responsible for forecasting decisions (83.7%). Typically, determining production demand was conducted 1 week in advance (36.5%). Computers were used by fewer than 38% of respondents for production forecasting. Approximately 79% indicated that forecasting was very important. Respondents indicated a need for improvement in practice and additional training in the area of forecasting. Therefore, continuing education in forecasting should remain a priority for dietetic practitioners.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0002-8223
pubmed:author
pubmed:issnType
Print
pubmed:volume
90
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1067-71
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1990
pubmed:articleTitle
Survey of foodservice production forecasting.
pubmed:affiliation
Department of Human Nutrition and Food Management, Ohio State University, Columbus 43210-1295.
pubmed:publicationType
Journal Article