In this work we introduce a green inventory routing problem termed the Stochastic Inventory Routing Problem on Electric Roads (S-IRP-ER), in which hybrid vehicle navigates road network with charging opportunities some sections, to cover non-stationary stochastic demand of single product for set retailers network. We model using isochrone graphs represent real an graph nodes are located such tha...

In this paper we present a quantity-based model for integrated inventory replenishment and shipment consolidation decisions under vendor managed inventory. Assuming the vendor uses a special reorder point, order-up-to level, or ( , ) s S policy for inventory control and adopts a quantity-based dispatching strategy under stochastic settings, we build its simulation model. By simulating in Arena ...

We investigate optimal system design in a multi-location system in which supply is subject to disruptions. We examine the expected costs and cost variances of the system in both a centralized and a decentralized inventory system. We show that, when demand is deterministic and supply may be disrupted, using a decentralized inventory design reduces cost variance through the risk diversification e...

With the high accident rate of civil aviation, medical resource inventory becomes more important for emergency management at the airport. Meanwhile, medical products usually are time-sensitive and short lifetime. Moreover, we find that the optimal medical resource inventory depends on multiple factors such as different risk preferences, the material shelf life and so on. Thus, it becomes very c...

Inspired by the retail industry, we consider a stochastic inventory routing problem where retailers are replenished from central warehouse using time-based shipment consolidation policy. Such dispatching policy, facing demand repetitively at fixed times, is essential in practice. It allows for easy incorporation with dependent up- and downstream planning problems such as personal staffing opera...

In this paper, we present a unified approach to study a class of cooperative games arising from inventory centralization. The optimization problems corresponding to the inventory games are formulated as stochastic programs. We observe that the strong duality of stochastic linear programming not only directly leads to a series of recent results concerning the non-emptiness of the cores of such g...

This paper presents a mathematical model for an inventory control system in which customers’ demands and suppliers’ service time are considered as stochastic parameters. The proposed problem is solved through queuing theory for a single item. In this case, transitional probabilities are calculated in steady state. Afterward, the model is extended to the case of multi-item inventory systems. The...