No abstract

In this paper, we are interested in vehicle routing optimization which is an important problem in the fields of transportation .We will introduce the Vehicle Routing Problem with soft time windows, in both cases: static (VRPSTW) and dynamic (D-VRPSTW). Input information changes dynamically over time with the appearance of new customer requests at any point during the vehicle's route, that include real-life assumptions. On the other hand, soft time windows allow deliveries outside the boundaries against a penalty cost. This paper proposes the hybridization of the genetic method and the variable neighborhood search method to solve the two version of the problem. This algorithm reduces the transportation costs by using a fleet of vehicles, improves the quality of service by reducing the delay time for each customer and increase the stopping time for each vehicle. The solution quality of this method has been compared against existing results on benchmark problems.

Due to an increase in energy price and pollution plus environmental regulations, companies start to adopt green policies. In fact, companies are encouraged by governments to develop strategies to achieve more sustainable operations. Based on this literature review the contribution of Lean Manufacturing on environmental performances will be discussed, a survey of 50 different automotive companies based in Morocco, shows how they are carrying out manufacturing and environmental practices. The result of this study shows a positive impact of advanced Lean Manufacturing’s tools on the environmental performance and contribute to the present literature on environmentally friendly Manufacturing. The findings and proposals of this paper can be a beginning step for Moroccan companies to completely use their capability of environmental practices and improve their manufacturing productivity performance while identifying trends in organizational development.

This paper is interested in pharmaceuticals distribution which is one of the most important activities and ensures the availability of drug products to a set of customers (pharmacies). The study introduces the Disrupted Vehicle Routing problem with Soft Time Windows since pharmaceutical distributors should respond to increased demands for products to ensure timely and efficient delivery to dynamic demands. We also propose an improved multiobjective local search (IMOLS), which uses methods of neighborhood search such as large neighborhood search (LNS) and variable neighborhood search (VNS) based on a hybrid approach in the optimization of vehicle routes. The algorithm is expected to achieve competitive results compared with previously published studies.

No abstract