An important observation in supply chain management, known as the bullwhip effect, suggests that demand variability increases as one moves up a supply chain. In this paper we quantify this effect for simple, two-stage supply chains consisting of a single retailer and a single manufacturer. Our...

This paper presents a multistage supply chain model that is based on Autoregressive Integrated Moving Average (ARIMA) time-series models. Given an ARIMA model of consumer demand and the lead times at each stage, it is shown that the orders and inventories at each stage are also ARIMA, and...

In cases where the private sector struggles to cope with the impact of a disaster, authorities try to reduce the burden on the population and set up supply chains to distribute essential goods. Therefore, they estimate demand and location of the affected people and open points of distribution to...

In the service sector, such as tourism and hospitality, a traveler often tries to find information about their destination digitally, comparing it to alternatives available to have the best option. This demand businesses that are in the tourism and hospitality sector to advertise their...