In the literature, many objectives for optimizing many types of logistics networks are described: (i) minimization objectives such as cost, inventory, transportation time, environmental impact, financial risk and (ii) maximization objectives such as profit, customer satisfaction, and flexibility and robustness.
I'm responsible for managing our food sourcing, inventory and transportation teams.
Moreover, the total costs of production, outsourcing, inventory, and transportation are significant in the objective function.
While making strategic decisions, they considered fixed location and variable material cost, production, inventory and transportation costs.
The uncertainties were relevant to several parameters such as return volume, product demand, inventory cost, transportation cost, and processing cost.
Focusing first on distributing supplies in the U.S., they found that inventory and transportation were not being managed from a systems perspective.
As real conditions are required, some limitations such as production time, storage capacity, inventory level, transportation methods, and sustainability time are considered in the model.
However, the optimization of these location decisions requires careful attention to the inherent trade-offs among facility costs, inventory costs, transportation costs, and customer responsiveness.
In this work, we develop a decision support system to investigate and improve the combined inventory and transportation system in a representative world-wide crude supply problem.
Decisions in our supply chain design problem include selection of one or more companies in each echelon, production, inventory, and transportation.
In the production/distribution systems, the models that are designed to determine the appropriate production, inventory, and transportation policies for a set of manufacturing plants, warehouses, and retailers, are reviewed.
