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 new mass-flow based Mixed Integer Linear Programming (MILP) formulation for the Inventory Routing Problem (IRP) with explicit energy consumption. The problem is based on a multiperiod single-vehicle IRP with one depot and several customers. Instead of minimizing the distance or inventory cost, the problem takes energy minimization as an objective. In this formulation...

In this paper, we describe research to improve Frito-Lay’s outbound supply chain activities by simultaneously optimizing its inventory and transportation decisions. Motivated by Frito-Lay’s practice, we first develop a mixed-integer programming formulation from which we develop a large-scale, integrated multiproduct inventory lot-sizing and vehicle-routing model with explicit (1) inventory hold...

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...