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Forecasting for solid wastes operations
Author(s) -
Westerman Robert R.
Publication year - 1981
Publication title -
journal of operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.649
H-Index - 191
eISSN - 1873-1317
pISSN - 0272-6963
DOI - 10.1016/0272-6963(81)90024-3
Subject(s) - workload , municipal solid waste , solid waste management , randomness , computer science , operations research , operations management , environmental science , statistics , waste management , engineering , mathematics , operating system
This article analyzes the needs for, and capabilities of, formalized forecasting of future workloads to support more effective and efficient solid waste operations management. A case study of computerized forecasting of the average daily solid waste quantity generated, month by month, in Sacramento County, California, is presented. The monthly pattern of peaks and valleys and the month by month trend in solid waste generation are identified. Selected uses of the forecast average, pattern, and trend information in planning for solid waste services and operations are examined. The extent of future workload unpredictability, in Sacramento, in terms of randomness reflected in forecast errors, is identified. The operational consequences of forecast errors are discussed.