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...

We study an Inventory Routing Problem in which the supplier has a limited production capacity and the stochastic demand of the retailers is satisfied with procurement of transportation services. The aim is to minimize the total expected cost over a planning horizon, given by the sum of the inventory cost at the supplier, the inventory cost at the retailers, the penalty cost for stock-out at the...

A mixed 0-1 integer programming model of Combined Location Routing and Inventory Problem (CLRIP) with fuzzy random demand has been proposed in B2C E-commerce distribution environment. Demands of customers and distribution centers have been assumed to be fuzzy random variables.

In this article, we study an Inventory Routing Problem with deterministic customer demand in a two-tier supply chain. The chain network consists of supplier using single vehicle given capacity to deliver product type multiple customers. We are interested population-based algorithms solve our problem. A Memetic Algorithm (MA) is developed based on the Genetic (GA) and Variable Neighborhood Searc...

We consider a multi-product serial two echelon inventory system with stochastic demand. Inventories at the downstream location are replenished periodically using an automatic ordering system. Under vendor managed inventory strategies the upstream stage is allowed to adapt these orders in order to benefit from economies of scale. We propose three different VMI strategies, aiming to reduce the or...