Endosymbiotic Evolutionary Algorithm for an Integrated Model of the Vehicle Routing and Truck Scheduling Problem with a Cross-Docking System

Lee, Kun-Young; Lim, Ji-Soo; Ko, Sung-Seok

doi:10.15388/informatica.2019.215

Cited by 7 publications

(13 citation statements)

References 16 publications

(19 reference statements)

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“…This is one of most studied combinatorial set of problems. Lee et al (2019) consider an integrative three-echelon supply chain: Vehicle Routing and Truck Scheduling Problem with a Cross-Docking System; this promising logistics strategy distributes products by eliminating storage and order-picking while using warehouse: directly from inbound to outbound vehicles; a cost optimization EEA-based method was proposed which outperforms existing solvers. Due to its effectiveness many variations of the VRP were built on the basic VRP with extra features, e.g.…”

Section: Future Possible Extensions From Unimodal To Multimodal Transmentioning

confidence: 99%

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Matei¹,

Erdei²,

Pintea³

2021

Informatica

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In the family of Intelligent Transportation Systems (ITS), Multimodal Transport Systems (MMTS) have placed themselves as a mainstream transportation mean of our time as a feasible integrative transportation process. The Global Economy progressed with the help of transportation. The volume of goods and distances covered have doubled in the last ten years, so there is a high demand of an optimized transportation, fast but with low costs, saving resources but also safe, with low or zero emissions. Thus, it is important to have an overview of existing research in this field, to know what has already been done and what is to be studied next. The main objective is to explore a beneficent selection of the existing research, methods and information in the field of multimodal transportation research, to identify industry needs and research gaps and provide context for future research. The selective survey covers multimodal transport design and optimization in terms of: cost, time, and network topology. The multimodal transport theoretical aspects, context and resources are also covering various aspects. The survey's selection includes currently existing best methods and solvers for Intelligent Transportation Systems (ITS). The gap between theory and real-world applications should be further solved in order to optimize the global multimodal transportation system.

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Section: Future Possible Extensions From Unimodal To Multimodal Transmentioning

confidence: 99%

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Matei¹,

Erdei²,

Pintea³

2021

Informatica

View full text Add to dashboard Cite

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“…Besides, although it is almost impossible to be achieved, perfect synchronization between supply and demand is very important. That is why there are many studies in the crossdocking system that assumed that supply and demand are equal [11].…”

Section: Related Workmentioning

confidence: 99%

Truck Scheduling Model in the Cross-docking Terminal by using Multi-agent System and Shortest Remaining Time Algorithm

Kusuma¹

2021

IJACSA

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One most important and critical problem in a cross-docking system is truck scheduling. Many studies in it assumed that the temporary storage is unlimited which is in the real world, the temporary storage is limited. Many studies focus on minimizing total completion time. Meanwhile, studies that focus on minimizing temporary storage are hard to find, although this aspect is very important. Due to its complexity, especially in the cross-docking system with multiproduct characteristics, manual scheduling is almost impossible to achieve its goals. Many studies used several techniques, such as genetic algorithm (GA) and mixed integer programming where these methods are computationally expensive. Based on this problem, in this work, we propose new truck scheduling model in a cross-docking terminal with limited temporary storage constraint. This model is developed by using multi-agent system. The main contribution of this work is proposing the multi-agentbased truck scheduling model with limited temporary storage capacity constraint and temporary truck changeover permit. In it, there are three agents: inbound-trucks scheduler agent, outbound-trucks scheduler agent, and material handler agent. The shortest remaining time (SRT) algorithm is adopted in every agent. Based on the simulation result, this proposed model is proven competitive compared with the existing FIFO based models and integer-programming based model. Compared with the integer-programming model, it creates 41.8 percent lower in maximum inventory level. Compared with the FIFO based model, it creates 52.1 to 55.1 percent lower in maximum inventory level. In total time aspect, it creates 0.2 to 2.2 percent lower than the FIFO based model. It creates 7.2 percent higher in total time compared with the integer-programming based model.

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“…The distribution process accounts for 30% of the product sale cost, and this aspect increases overheads of the overall supply chain process [12] and impacts negatively on the suppliers and manufacturing process due to high competition and ease of reach to several markets [13]. Consequently, there is a need to reduce the distribution costs and increase distribution efficiency [14].…”

Section: Advantages and Applications Of Cross-dockingmentioning

confidence: 99%

“…More than 85% of the academic papers on cross-docking are published post-2004 [40]. In addition, only a few studies have considered the integration of different models to solve problems related to cross-docking [12] and these studies focused on applying models to cross-docking operations [41]. Therefore, this paper aims to identify the recent trends in the cross-docking literature by presenting a comprehensive review of the cross-docking models and applications.…”

Section: Literature Gapmentioning

confidence: 99%

Cross-Docking: A Systematic Literature Review

et al. 2020

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This paper identifies the major research concepts, techniques, and models covered in the cross-docking literature. A systematic literature review is conducted using the BibExcel bibliometric analysis and Gephi network analysis tools. A research focus parallelship network (RFPN) analysis and keyword co-occurrence network (KCON) analysis are used to identify the primary research themes. The RFPN results suggest that vehicle routing, inventory control, scheduling, warehousing, and distribution are most studied. Of the optimization and simulation techniques applied in cross-docking, linear and integer programming has received much attention. The paper informs researchers interested in investigating cross-docking through an integrated perspective of the research gaps in this domain. This paper systematically reviews the literature on cross-docking, identifies the major research areas, and provides a survey of the techniques and models adopted by researchers in the areas related to cross-docking.

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Endosymbiotic Evolutionary Algorithm for an Integrated Model of the Vehicle Routing and Truck Scheduling Problem with a Cross-Docking System

Cited by 7 publications

References 16 publications

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Truck Scheduling Model in the Cross-docking Terminal by using Multi-agent System and Shortest Remaining Time Algorithm

Cross-Docking: A Systematic Literature Review

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