scholarly journals Interterminal Truck Routing Optimization Using Deep Reinforcement Learning

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5794
Author(s):  
Taufik Nur Adi ◽  
Yelita Anggiane Iskandar ◽  
Hyerim Bae
Keyword(s):  
Reinforcement Learning ◽  
Transport Process ◽  
Time Window ◽  
Freight Transportation ◽  
Container Transport ◽  
Routing Optimization ◽  
The World ◽  
Truck Routing ◽  
Trucking Company ◽  
Significant Factors

The continued growth of the volume of global containerized transport necessitates that most of the major ports in the world improve port productivity by investing in more interconnected terminals. The development of the multiterminal system escalates the complexity of the container transport process and increases the demand for container exchange between different terminals within a port, known as interterminal transport (ITT). Trucks are still the primary modes of freight transportation to transport containers among most terminals. A trucking company needs to consider proper truck routing planning because, based on several studies, it played an essential role in coordinating ITT flows. Furthermore, optimal truck routing in the context of ITT significantly affects port productivity and efficiency. The study of deep reinforcement learning in truck routing optimization is still limited. In this study, we propose deep reinforcement learning to provide truck routes of a given container transport order by considering several significant factors such as order origin, destination, time window, and due date. To assess its performance, we compared between the proposed method and two approaches that are used to solve truck routing problems. The experiment results showed that the proposed method obtains considerably better results compared to the other algorithms.

scholarly journals Interterminal Truck Routing Optimization Using Cooperative Multiagent Deep Reinforcement Learning

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1728
Author(s):  
Taufik Nur Adi ◽  
Hyerim Bae ◽  
Yelita Anggiane Iskandar
Keyword(s):  
Reinforcement Learning ◽  
Waiting Time ◽  
Transportation Network ◽  
Environmental Implications ◽  
Routing Problem ◽  
Expansion Strategy ◽  
Routing Optimization ◽  
Truck Routing ◽  
Catch Up ◽  
Selection Of

Many ports worldwide continue to expand their capacity by developing a multiterminal system to catch up with the global containerized trade demand. However, this expansion strategy increases the demand for container exchange between terminals and their logistics facilities within a port, known as interterminal transport (ITT). ITT forms a complex transportation network in a large port, which must be managed efficiently given the economic and environmental implications. The use of trucks in ITT operations leads to the interterminal truck routing problem (ITTRP), which has been attracting increasing attention from researchers. One of the objectives of truck routing optimization in ITT is the minimization of empty-truck trips. Selection of the transport order (TO) based on the current truck location is critical in minimizing empty-truck trips. However, ITT entails not only transporting containers between terminals operated 24 h: in cases where containers need to be transported to a logistics facility within operating hours, empty-truck trip cost (ETTC) minimization must also consider the operational times of the transport origin and destination. Otherwise, truck waiting time might be incurred because the truck may arrive before the opening time of the facility. Truck waiting time seems trivial, but it is not, since thousands of containers move between locations within a port every day. So, truck waiting time can be a source of ITT-related costs if it is not managed wisely. Minimization of empty-truck trips and truck waiting time is considered a multiobjective optimization problem. This paper proposes a method of cooperative multiagent deep reinforcement learning (RL) to produce TO truck routes that minimize ETTC and truck waiting time. Two standard algorithms, simulated annealing (SA) and tabu search (TS) were chosen to assess the performance of the proposed method. The experimental results show that the proposed method represents a considerable improvement over the other algorithms.

scholarly journals Features, advantages and disadvantages of freight transportation in flexitanks

2020 ◽  
Vol 1 (1-2) ◽  
pp. 83-87
Author(s):  
A. P. Lutay ◽  
P. V. Kurenkov
Keyword(s):  
Freight Transportation ◽  
Transportation Costs ◽  
Innovative Development ◽  
Bulk Materials ◽  
Multimodal Transportation ◽  
Domestic Markets ◽  
Advantages And Disadvantages ◽  
Use Of Technology ◽  
The World ◽  
Marketing Methods

The device of flexitanks, as well as technical and technological features of the transportation of goods with their use, are considered. The relevance of the topic is due to the fact that at present almost 80 % of international transit in the world takes place in containers, on the domestic markets of the largest countries of the world, goods flows also go mainly in containers. Flexitanks are studied as innovative tools for organizing the chains of delivery of goods and goods in containers, having all the necessary equipment for transporting various kinds of cargo.Analytical and marketing methods are applied, taking into account the principles of the theory of logistics, logic, as well as shared materials.A comparison of this type of packaging with other transportation means is presented. It was revealed that flexitara is more oriented to non-hazardous liquid cargo in terms of its characteristics. The use of flexitanks allows to reduce transportation costs, reduce labor, time and transportation costs, as well as to carry out multimodal transportation using various modes of transport.It is established that flexitanks can act as a full-fledged and multi-functional alternative to tanks, tank containers and other containers for transporting bulk materials that are non-hazardous cargoes. The use of technology for the transportation of goods in flexitanks will contribute to the further innovative development of multi-modal freight transportation and the growth of containerization of goods exchange in general. 

PSYCHOLOGICAL ANALYSIS OF REPRESENTATION OF FATHER AND MOTHER AS THE BASIS FOR OVERCOMING LIFE DIFFICULTIES

2020 ◽  
Vol 65 (4) ◽  
pp. 122-128
Author(s):  
F.S. Tashimova ◽  
◽  
A.R. Rizulla ◽  
A.R. Soltanbekova ◽  
◽  
...  
Keyword(s):  
Role Identity ◽  
Psychosexual Development ◽  
Gender Role Identity ◽  
Human Relations ◽  
Special Significance ◽  
Coping Methods ◽  
Psychological Analysis ◽  
The World ◽  
Positive Representation ◽  
Significant Factors

The problem of overcoming life's difficulties is one of the most actual problems of psychology. In this regard, one of the significant factors that determine success is the peculiarities of the representation of the father and mother as the first human communities, whose values and strategies permeate almost the entire system of human relations with the world. A great contribution to the analysis of this problem was made by the psychoanalytic direction, which considers parents as a "window to the world", providing a painless overcoming of problems at different stages of psychosexual development, the development of a" grandiose Self " that believes in its own potential for perfection and overcoming. Special significance, along with the mother in the early stages, is given to the father, the measure of identification with which affects both the development of a sublimating, overcoming personality, and co-dependent, with violations of gender-role identity (homosexuality) of a person. Positive representation of the father and mother is the basis for productive coping methods. Negative representation of parents is self-doubt, increased anxiety, unproductive coping strategies, reaching its extreme expressions-parricide.

E-Collaboration at Celadon Trucking Services

2017 ◽  
pp. 124-130
Author(s):  
Leiza Nochebuena-Evans ◽  
Lina M. De La Garza
Keyword(s):  
Supply Chain ◽  
Continuous Improvement ◽  
Logistics Industry ◽  
Use Of Technology ◽  
Electronic Collaboration ◽  
The World ◽  
Mexico Border ◽  
Trucking Company ◽  
Determinant Factor ◽  
The U.S

Technology has influenced industries around the world. Not only is the use of technology essential to the success of a business, but the continuous improvement of technology is a determinant factor in obtaining a competitive advantage. Electronic collaboration (e-collaboration) has made a presence in the supply chain of international trade. The logistics industry, in particular the area of trucking, has to continuously improve their technology and use e-collaboration in order to continue having a profitable advantage in a highly regulated and competitive arena. Some methods of e-collaboration used by a particular trucking company along the U.S.—Mexico border will be discussed.

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