in this paper, a novel multi-objective bus stop location model is proposed, which considers not only the coverage of demand and minimization of access time but also the necessities of suitable stops for transit network design phase. three objective functions are considered including minimizing (i) sum of the total access distance (time), (ii) the weighted combination of stops, and (iii) the num...

In this thesis I present a demand-driven pointer analysis for Java that aims at applications which require memory and time efficiency of the pointer analysis, such as tools for IDEs or JIT compilers. It furthermore allows clients to specify the precision needed and is context-sensitive and flow-sensitive. The demand-driven aspect of my approach allows the analysis to ignore irrelevant parts of ...

The study of agricultural product's inventory is significant to lower its logistics cost, reduce the waste during the logistics courses and guarantee its quality. Deteriorating items can be studied by the way of literature review according to time varying of demand, inventory shortage and deteriorating rate while multi-warehouse according to the number of renting warehouse, capacity and demand ...

In this paper, a bi-objective pharmaceutical supply chain network under uncertainty demand and transportation costs is modeled and developed. To control the uncertainty parameters, the robust optimization method is considering. The main objective of this paper determines the number and location of potential facilities such as drug manufacture centers and drug distribution centers by considering...

abstract in the recent decades, the iranian economy has been highly depended on oil revenues. considering the fact that a great part of non-oil exports are agricultures product, studying factors influencing growth of agricultural sector plays an important role in the iran's economy. supply domestic shocks and domestic demand pressure along with deviation of exchange rates from its equilibrium, ...

Accurate demand forecasting is one of the most key issues in inventory management of spare parts. The problem of modeling future consumption becomes especially difficult for lumpy patterns, which characterized by intervals in which there is no demand and, periods with actual demand occurrences with large variation in demand levels. However, many of the forecasting methods may perform poorly whe...

Erratic demands have traditionally shown complexity in inventory management and forecasting. Several organisations, especially in multi-product manufacturing systems with intermittent demand high level of variability and uncertainty, assume suitable estimators are put in place to forecast demand. This forces them to pay attention to controlling the inventory of a system. The forecasted demand i...