A probabilistic inventory model for conditional credit period with exponential demand, non-zero lead time and multiple storage facility has been developed. The behaviour of total expected cost (TEC) has been examined and the use and application of the model is demonstrated with the help of a numerical example.

This paper formulates Rosenberg’s (1982) “learning by using” as a stochastic process. The producer of machines learns from the experience of users. Due to this learning, the quality of machines improves over time. It turns out that the process of this improvement approximately takes an exponential form. This improvement process, combined with the growth of demand due to the improvement, can pro...

Many authors have presented studies of multi-choice stochastic transportation problem (MCSTP) where availability and demand parameters follow a particular probability distribution (such as exponential, weibull, cauchy or extreme value). In this paper an MCSTP is considered where availability and demand parameters follow general form of distribution and a generalized equivalent deterministic mod...

In this study, an EOQ (Economic Order Quantity) inventory mathematical model is constructed for a deteriorating item having time dependent demand when delay in payment is permissible. The deterioration rate is assumed to be a constant and the time varying demand rate is taken to be an exponential declining function of time. Mathematical models are also derived under two different circumstances,...

This paper formulates Rosenberg’s (1982) “learning by using” as a stochastic process. The producer of machines learns from the experience of users. Due to this learning, the quality of machines improves over time. It turns out that the process of this improvement approximately takes an exponential form. This improvement process, combined with the growth of demand due to the improvement, can pro...

This paper uses minute-by-minute British electricity demand observations to evaluate methods for prediction from 10 to 30 minutes ahead. Such very short lead times are important for the real-time scheduling of electricity generation. We consider methods designed to capture both the intraday and the intraweek seasonal cycles in the data, including ARIMA modelling, an adaptation of Holt-Winters e...