When the online stores and the logistics service providers make decision alone, as trade off phenomenon exists, inventory costs achieve the minimum while transportation costs are not the minimum or the opposite situation occurs. When implementing inventory and transportation integrated optimization, the profit of the whole supply chain and the stores increases, while the profit of the logistics...

The healthcare system is no stranger to resource challenges in the face of unlimited demand fulfill objectives satisfying patients, maintaining service quality, and maximizing profit. Healthcare decision-makers are responsible for devising effective methods allocating scarce resources fairly a way that maximizes benefits at societal level. An emergency medical services (EMS) plays crucial role ...

One main group of a transportation network is a discrete hub covering problem that seeks to minimize the total transportation cost. This paper presents a multi-product and multi-mode hub covering model, in which the transportation time depends on travelling mode between each pair of hubs. Indeed, the nature of products is considered different and hub capacity constraint is also applied. Due to ...

this research provides an optimization tool for use by supply chain managers in the design and operation of manufacturing- distribution networks under uncertain demand conditions. the problem under consideration consists of determining the supply chain infrastructure; raw material purchases, shipments, and inventories; and finished product production quantities, inventories, and shipments neede...

   In this paper, a new robust approach based on Least Square Support Vector Machine (LSSVM) as a proxy model is used for an automatic fractured reservoir history matching. The proxy model is made to model the history match objective function (mismatch values) based on the history data of the field. This model is then used to minimize the objective function through Particle Swarm Optimization (...