Transportation forecast rates

Depending on the type of analysis, a DSS may require collecting information from various parts of the company. For example, supply chain network design requires both static and dynamic information from different parts of the company. The static data include plant production rates, locations of the plants, warehouses, and customers as well as warehousing costs and transportation costs, and the dynamic data involve forecasts, orders, and current deliveries. This type of information will not usually be found in one database or one department in a company. 

One of the simplest models of demand is to use an estimate of the average demand. This average demand, assuming a constant rate each period, can then be used to understand the effect of production costs or transport costs on inventory levels. Such models are appropriate when we deal with products in situations with predictable demand, that is, low forecast error. In particular, we will focus on the... 

The supply chain studied is made of supplier and customer as shown in Fig. 3. The main objective is to find optimum production lot and transportation quantity from supplier s perspective so that the total cost of supply chain is minimized. This problem-solving can help the supply chain to improve their efficiency by predicting demand and transportation cost in different situations. In the studied supply chain, as of the technological availability and hygienic standards that need to be followed, each product can just be produced in their respective plant and, hence, the assignment is not in the scope of this paper and, hence, the same is not considered in this problem. Demands will be fulfilled from the finished products that will be stored in warehouses. Although market demands are uncertain, it will be calculated and production forecasts will be done which are the Poisson processes and certain demand will be fixed at the beginning of each production period. Unsatisfied demand in each period is lost. Demands come as a Poisson process with different independent rates and the lead time for the production is exponentially distributed with parameter p (>0). 

ABSTRACT This work has been prompted by Poland s poor supply of road safety management tools which are key to developing national road safety policies. They could also be used in other developing countries. Behavioural theories and the results of literature studies have helped to develop the Country Safety Performance Function (CSPF) which describes the relationship between the normal anticipated Road Fatality Rate (RFR) in a country and the variables of its social, economic, road transport and road safety management systems. The CSPF underpins the essence of road safety measured as the national road fatality rate. It can be used to understand the current condition of road safety of a country and the forecasts. 

IVA 04] Ivan J.N., New approach for including traffic volumes in crash rate analysis and forecasting . Transportation Research Record, vol. 1897, pp. 134-141, 2004. 

---