Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping
نویسندگان
چکیده
منابع مشابه
Methods for Intermittent Demand Forecasting
Intermittent demand or ID (also known as sporadic demand) comes about when a product experiences several periods of zero demand. Often in these situations, when demand occurs it is small, and sometimes highly variable in size. ID is often experienced in industries such as aviation, automotive, defence and manufacturing; it also typically occurs with products nearing the end of their life cycle....
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Intermittent demand is characterized by demand data that has many time periods with zero demands. It is hard to model intermittent demand by conventional distributions. In previous research, an algorithm to generate intermittent demand was developed. The algorithm generates demand based on two stages: probabilistically generating whether or not a demand will occur and then generating non-zero d...
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This paper develops a Bayesian Vector Error Correction Model (BVECM) for forecasting inventory investment in South Africa. The model is estimated using quarterly data on actual sales, production, unfilled orders, price levels and interest rates, for the period of 1978 to 2000. The out-of-sample-forecast accuracy obtained from the BVECM, over the forecasting horizon of 2001:1 to 2003:4, is compa...
متن کاملLimitations on intermittent forecasting
Bailey showed that the general pointwise forecasting for stationary and ergodic time series has a negative solution. However, it is known that for Markov chains the problem can be solved. Morvai showed that there is a stopping time sequence {λ n } such that P (X λn+1 =) such that the difference between the conditional probability and the estimate vanishes along these stoppping times for all sta...
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ژورنال
عنوان ژورنال: Journal of Business Research
سال: 2015
ISSN: 0148-2963
DOI: 10.1016/j.jbusres.2015.03.034