Intelligent Transportation Systems to Support Production Logistics

Veres, Péter; Bányai, Tamás; Illés, Béla

doi:10.1007/978-3-319-51189-4_24

Cited by 6 publications

(8 citation statements)

References 21 publications

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“…They solve the problem with an enumerative search algorithm and a heuristic procedure. Veres et al (2017) propose a heuristic method for optimizing supply chain including intelligent transportation systems (ITS) based vehicles for transportation operations problems [35]. To solve the multi-product multi-period inventory lot sizing with supplier selection problem, Cárdenas-Barrón et al (2015) propose a heuristic algorithm based on reduce and optimize approach (ROA) and a new valid inequality [36].…”

Section: The Methods Of Sustainable Supplier Selectionmentioning

confidence: 99%

A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment

Jiang

Song

et al. 2018

Sustainability

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With the growing awareness of environmental and social issues, sustainable supply chain management (SSCM) has received considerable attention both in academia and industry. Supplier selection plays an important role in the successful implementation of sustainable supply chain management, because it can influence the performance of SSCM. Sustainable supplier selection is a typical multi-criteria decision-making problem involving subjectivity and vagueness. Although some previous researches of supplier selection use fuzzy approaches to deal with vague information, it has been criticized for requiring much priori information and inflexibility in manipulating vagueness. Moreover, the previous methods often omit the environmental and social evaluation criteria in the supplier selection. To manipulate these problems, a new approach based on the rough set theory and ELECTRE (ELimination Et Choix Traduisant la REalité) is developed in this paper. The novel approach integrates the strength of rough set theory in handling vagueness without much priori information and the merit of ELECTRE in modeling multi-criteria decision-making problem. Finally, a case study of sustainable supplier selection for solar air-conditioner manufacturer is provided to demonstrate the application and potential of the approach.

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Section: The Methods Of Sustainable Supplier Selectionmentioning

confidence: 99%

A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment

Jiang

Song

et al. 2018

Sustainability

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“…In order to develop tourism in Hengshui, the tourism authority should encourage more investment in attractions; otherwise, the city will excluded from the HSR era. The second implication from this paper is that the transportation systems in the Capital area should be enhanced to take advantage of new information technology solutions and algorithms [61] to provide a more solid foundation for regional tourism development.…”

Section: Discussionmentioning

confidence: 99%

How Does High-Speed Rail Affect Tourism? A Case Study of the Capital Region of China

2019

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The objective of this study is to analyze the tourism spatial interaction that defines two scenarios, i.e., the actual one with the current high-speed rail (HSR) network, and the future one with an extension of the HSR network, considering as a case study the Capital region of China. The impact of HSR on the spatial distribution characteristics is investigated. The main outcome of this study is that the extension of the HSR network in the future scenario will significantly increase the total tourism spatial interaction and will reduce the spatial difference. What this paper adds to the current knowledge about HSR and tourism is that smaller cities, such as Tangshan, Zhangjiakou, and Chengde, connected via HSR to core cities will benefit the most from the HSR network’s operation. Those cities should take the HSR network as a development opportunity to enhance their attractiveness and strengthen their marketing to achieve sustainable tourism competitiveness. The study found that effects can also be registered on larger cities, but they are smaller. So, larger cities, such as Beijing and Tianjin, should reassess their attractiveness to the tourist market and take corresponding countermeasures. The findings of this study can be used by tourism management authorities to develop short-term and long-term plans.

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“…Logistics related operations 978-1-7281-7037-4/20/$31.00 ©2020 IEEE counts for a significant part of the total cost. According to [3] it varies between 10 and 95 %, but often with low added-value to the product or service [4]. Thus in order to reduce the logistics costs as well as for improving the service quality, there is a trend towards technology driven innovations, like automated guided vehicles, diverse intelligent and smart cargo solutions [2], ITS [5] as well as increased servitisation of logistics [6].…”

Section: Imentioning

confidence: 99%

“…Conventional solutions for dealing with interaction solutions focus on point-to-point integration while approaches such as enterprise service bus (ESB) have shown great potential to create a more flexible system to increase interoperability among the agents. A second challenge is related to the decentralised decision-making process carried out by the autonomous robots (like automated guided vehicles, or smart cargo) [2,3,14]. The usage of digital twins can help in overcoming this challenges and support the decision-making process (of the technology assessment) [15] by allowing manipulation of the digital twin to investigate different solutions and the implications on an existing (real physical) environment.…”

Section: Imentioning

confidence: 99%

Employing digital twins within production logistics

Hauge¹,

Zafarzadeh

Jeong

et al. 2020

2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)

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Digitalisation and automation of existing processes are key competitive factors for industry. Still, logistic operations often comprise manual effort, because the movement of goods and material places stringent requirements on the interactions between different systems, human-computer/robot-interaction as well as on changes in the operative processes. In general, the introduction and uptake of new enabling technologies, like the IoT, in complex systems evolved over decades, are challenging. The experience has shown that it is hard to assess all restrictions and interactions between new and old components before any new equipment or infrastructure is implemented and put in operation. This paper presents and discusses the usage of digital twins for supporting the decision-making processes in two different areas: Workstation design and logistics operation analysis. The results are based on tests and experiments carried out in a production logistics test-bed that includes physical devices, an IoT-infrastructure and simulation software. The digital twin is realised in a combination of using Unity and the simulation software IPS. The primary results show that there is no one-size fit all in terms of granularity of the underlying simulation model as well as for the reduction of reality in the digital twin, but the results also indicate that a context-aware digital twin supports the decision-making within a given scope.

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Intelligent Transportation Systems to Support Production Logistics

Cited by 6 publications

References 21 publications

A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment

A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment

How Does High-Speed Rail Affect Tourism? A Case Study of the Capital Region of China

Employing digital twins within production logistics

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