We consider the situation where parts from suppliers have to be picked up by a capacitated vehicle for an assembly plant that faces stochastic demand. We propose a twophase heuristic to calculate “good” base stock policies for the stochastic inbound inventory routing problem. In this paper, we calculate multiple performance measures for the results obtained from the analytical model. The result...

In the south-east region of France, the disposal of medical waste accumulated by patients in self treatment, is commonly organized as follows. At pharmacies, patients receive empty boxes which are dedicated to the safe storage of their medical waste. Full boxes are brought back by the patients to any of the pharmacies, where they are stored. When a certain limit on the number of boxes at a phar...

In this paper, the stochastic location-routing-inventory problem is considered in which retailers’ demands and lead-times are stochastic. Demand quantities follow Poisson distribution and lead-times are functions of the shortage quantity. It is also assumed that both retailers and distributors hold inventory and follow (S-1, S) inventory policy. According to these assumptions, we use METRIC (i....

One of the most important points in a supply chain is customer-driven modeling, which reduces the bullwhip effect in the supply chain, as well as the costs of investment on the inventory and efficient transshipment of the products. Their homogeneity is reflected in the Inventory Routing Problem, which is a combination of distribution and inventory management. This paper expands the classical In...

Vendor managed inventory replenishment is a business practice in which vendors monitor their customers’ inventories, and decide when and how much inventory should be replenished. The inventory routing problem addresses the coordination of inventory management and transportation. It needs to be solved to design a strategy that realizes the potential savings in inventory and transportation costs ...

Vendor managed resupply is an emerging trend in logistics and refers to a situation in which a supplier manages the inventory replenishment of its customers. Vendors save on distribution cost by being able to better coordinate deliveries to different customers, and customers do not have to dedicate resources to inventory management anymore. We present and discuss the inventory routing problem. ...

in this paper, a stochastic multi-depot multi-objective vehicle routing problem (vrp) is studied. based on observations in real-world problems, we develop an aspect of the problem, such as stochastic availability of routes. to solve the problem in this situation, a two-objective mathematical model is developed, in which the related objective functions are: (1) minimizing transportation costs an...

Given the rapid advances in unmanned aerial vehicles, or drones, and increasing need to monitor at a city level, one of the current research gaps is how to systematically deploy drones over multiple periods. We propose a real-time data-driven approach: we formulate the first deterministic arc-inventory routing problem and derive its stochastic dynamic policy. The policy is expected to be of gre...

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...