Forecasting for solid wastes operations
分析了固体废物运营中正式预测未来工作量的需求和能力，以加州萨克拉门托县为例，识别了月均垃圾量的模式、趋势和随机性，并讨论了预测误差的运营后果。
Abstract 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.