Transportation and inventory are essential to hazardous materials logistics, while different classes of often transported over a network simultaneously. Despite their in-transit storage incompatibility, the superimposed risks among materials, which results from possible chemical reaction once accidents (e.g., leakage, explosion) happen, further complicate comprehensive plans. In this study, we ...

To solve single and multi-objective optimization problems, evolutionary algorithms have been created. We use the non-dominated sorting genetic algorithm (NSGA-II) to find Pareto front in a two-objective portfolio query, its extended variant NSGA-III three-objective problem, this article. Furthermore, both we quantify Karush-Kuhn-Tucker Proximity Measure (KKTPM) for each generation determine how...

Forward-reverse logistics network has remained a subject of intensive research over the past few years. It is of significant importance to be issued in a supply chain because it affects responsiveness of supply chains. In real world, problems are needed to be formulated. These problems usually involve objectives such as cost, quality, and customers' responsiveness and so on. To this reason, we ...

Designing the supply chain network is one of significant areas in e-commerce business management. This concept plays a crucial role systems. For example, location-inventory-pricing-routing an considered issue this field. field established many severe challenges modern world, like maintaining for returned items, preserving customers’ trust and satisfaction, developing applicable with cost consid...

Purpose: We attempted to propose an approach to simulate the dynamics of Beijing’s logistics demand, which can do some help to find out the dynamics path of the needed storage and shipment, put forward with logistics policies and enhance logistics service. Design/methodology/approach: W e present a paper with system dynamics (SD) methodology, which was run by the software of Vensim. Findings: W...

Many authors and researchers cite Dell’s supply chain as a model of excellence, yet few look at the entire closed-loop supply chain and the prevalent inventory and logistics techniques that enable this complex process to work. The techniques reviewed include – postponement, modularity, vendor managed inventory, supply chain partnerships, and demand management. The analysis involves examining ho...

This study aims to discuss the solution methodology for a closed-loop supply chain (CLSC) network that includes the collection of used products as well as distribution of the new products. This supply chain is presented on behalf of the problems that can be solved by the proposed meta-heuristic algorithms. A mathematical model is designed for a CLSC that involves three objective functions of ma...

This paper presented a parallel hybrid electric vehicle (HEV) equipped with a hybrid energy storage system. To handle complex energy flow in the powertrain system of this HEV, a fuzzy-based energy management strategy was established. A chaotic multi-objective genetic algorithm, which optimizes the parameters of fuzzy membership functions, was also proposed to improve fuel economy and HC, CO, an...

Modern this paper proposes non dominated sorting genetic algorithm (NSGA-II) which has feature of adaptive crowding distance for finding optimal location and sizing of Static Var Compensators (SVC) in order to minimize real power losses and voltage deviation and also to improve voltage profile of a power system at the same time. While finding the optimal location and size of SVC, single line ou...

This paper presents an application of elitist Non-dominated Sorting Genetic Algorithm (NSGA-II), to efficiently schedule a set of independent tasks in a heterogeneous distributed computing system. This scheduling problem is a bi-objective problem considering two objectives. The first objective is minimization of makespan and the second one being the minimization of flowtime. As a multi-objectiv...