- Sustainable Supply Chain Management
- Recycling and Waste Management Techniques
- Supply Chain Resilience and Risk Management
- Vehicle Routing Optimization Methods
- Transportation Planning and Optimization
- Environmental Impact and Sustainability
- Autonomous Vehicle Technology and Safety
- Urban and Freight Transport Logistics
- Vehicle Dynamics and Control Systems
- Vehicle emissions and performance
- Robotic Path Planning Algorithms
- Healthcare and Environmental Waste Management
Xi’an University of Posts and Telecommunications
2024
Chang'an University
2015-2018
To meet the requirement of greening transportation in poor traffic condition, vehicle routing problem (VRP) with consideration fuel consumption and congestion is studied. We formulated a time-dependent green (TD-GVRP) model minimised total cost as objective function which includes cost, measurement based on Comprehensive Modal Emissions Model (CMEM). In model, situation waiting at customer nodes to avoid bad defined. solve this Response Surface Method (RSM)-based hybrid algorithm (HA) that...
With the expansion of study about green logistics, sustainable supply chain management (SSCM) has appeared as a new concept in current economic circumstance. This paper studies sustainability optimization enterprise logistics network from strategic perspective and proposes multiobjective model considering three dimensions sustainability: economy, environment, society. In this model, environment factor was measured with Life Cycle Assessment (LCA) method based on Chinese Database (CLCD),...
With the development of healthcare industry, demand for medical services and protective equipment is boosted, causing generation rate infectious waste to increase rapidly. Therefore, it utmost importance decision makers effectively predict potential risks propose corresponding solutions. This paper investigates reverse logistics network optimization under conditions an uncertain proposal demand. Firstly, a prediction model based on SEIR epidemiological dynamics constructed, in which both...
To address the problems of intelligent vehicles navigating obstacles on rainy and snowy road surfaces, this study establishes a two-layer model comprising an upper-level local path planning layer lower-level trajectory tracking control layer. The aim is to enhance safety stability during lane changes obstacle avoidance. In layer, avoidance function introduced optimized using repulsive force artificial potential fields method, followed by analysis nonlinear predictive control. constraints are...
Sustainable supply chain management (SSCM) has been of considerable interest for the last decade. In order to model a multi-echelon logistics network with emission consideration, multi-objective facility location green is proposed. The objectives are (i) minimizing total cost and (ii) amount greenhouse gas emission. Besides, return hauls considered simultaneously. solved ɛ-constraint method. To demonstrate applicability effectiveness proposed model, computational results derived from CPLEX...
In this paper, an integer linear programming formulation is developed according to the characteristics of reverse logistics automobile parts while integration a network considered. Based on forward supply chain model, paper builds multi-period, multicommodity and closed loop auto network. The model aims pursue minimization total cost. Finally, validated solved by using Lingo. Meanwhile, comparison cost two different cases presented proved be scientific effective representative case.
With the development of global economy, living circumstances human subjects to resources, and environmental issues, all aspects social life economy are filled with "green" boom. The green supply chain is not only a product sustainable development, but also significant trend logistics development. In this paper, in order judge warning status put forward improvement suggestions, theories mathematical statistics early-warning were adopted, factor analysis method (FAM) was used distill main...