Emission reductions could be achieved by replacing the single-depot mode with a multi-depot of vehicle routing. In our study, we identified situations under which multiple depots used to effectively reduce carbon emissions. We proposed branch-and-price (BAP) algorithm obtain an optimal solution for green routing problem. Based on BAP algorithm, accurately quantified emission reduction potential...

The location routing problem with simultaneous pickup and delivery (LRPSPD) is a new variant of the location routing problem (LRP). The objective of LRPSPD is to minimize the total cost of a distribution system including vehicle traveling cost, depot opening cost, and vehicle fixed cost by locating the depots and determining the vehicle routes to simultaneously satisfy the pickup and the delive...

Smart cities make use of a variety smart technology to improve societies in better ways. Such intelligent technologies, on the other hand, pose significant concerns terms power usage and emission carbons. The suggested study is focused technological networks for big data-driven systems. With support software-defined transportation-aided multicast routing system suggested. By using public transp...

the location-routing problem is a relatively new branch of logistics system. its objective is to determine a suitable location for constructing distribution warehouses and proper transportation routing from warehouse to the customer. in this study, the location-routing problem is investigated with considering fuzzy servicing time window for each customer. another important issue in this regard ...

In this paper, we study an integrated logistic system where the optimal location of depots and vehicles routing are considered simultaneously. This paper presents a new mathematical model for a multi-objective capacitated location-routing problem with a new set of objectives consisting of the summation of economic costs, summation of social risks and demand satisfaction score. A new multi-objec...

The Inventory Location-Routing Problem with deterministic demand can be seen as an approach to both optimize a supply chain design and minimize its operational costs. This problem considers that vehicles might deliver products to more than one retailer per route and that inventory management decisions are included for a multi-depot, multi-retailer systemwith storage capacity over a discrete tim...

In this paper, we propose a new routing problem to model a highly relevant planning task in small package shipping. We consider the Prize-Collecting Vehicle Routing Problem with Non-Linear cost (PCVRPNL) in its single and multi-depot version, which integrates the option of outsourcing customers to subcontractors instead of serving them with the private fleet. Thereby, a lower bound on the total...