Modeling New Cold Chain Logistics Processes in the Post-Epidemic Period Based on Petri Net

Research Article
Open access

Modeling New Cold Chain Logistics Processes in the Post-Epidemic Period Based on Petri Net

Jie Yao 1*
  • 1 Huazhong university of science and technology    
  • *corresponding author u202090053@hust.edu.cn
Published on 13 September 2023 | https://doi.org/10.54254/2754-1169/23/20230379
AEMPS Vol.23
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-915371-89-8
ISBN (Online): 978-1-915371-90-4

Abstract

Over the past few years, there has been a steady increase in demand for frozen and refrigerated products among Chinese residents. The growth of the cold chain logistics industry has played an important role in advancing China's economy. However, due to the impact of COVID-19, there is now concern over the safety of such products, which has led to a potential setback in economic recovery. This article attempts to describe the difference between the new cold chain logistics and the traditional cold chain logistics in the post-epidemic period from the structural changes in the cold chain logistics and to explore the structure of the process. To fill the gap in modeling study on new cold chain logistics, this article uses Petri net to model the new cold chain logistics in the post-epidemic period and then analyzes the model using TINA software. This study aims to provide an optimization solution for the new cold chain logistics process and to serve as a basis for future related research. However, there is a gap between the results obtained through simulation and the real situation. If researchers want to further improve the model and solve the problem, they still have to cooperate with related companies to understand the actual situation.

Keywords:

post-epidemic period, new cold chain logistics, Petri Net, simulation, TINA

Yao,J. (2023). Modeling New Cold Chain Logistics Processes in the Post-Epidemic Period Based on Petri Net. Advances in Economics, Management and Political Sciences,23,195-203.
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References

[1]. Li Z-Xiang, Li Shuang-Mei, Zhang De-Zhi, et al. Virus prevention and control strategies in cold chain logistics in the post-epidemic era. Logistics Technology, 40(10), pp:11-15, 2021

[2]. Lin Zhenqiang. Current situation and trends of cold chain logistics park development in China. Logistics Technology and Application, 27(S2), pp:40-43, 2022.

[3]. Sun Yiling, Wang Bemeng. Problems and improvement measures of cold chain logistics cost management. Finance and Accounting Study, No.350(33),pp:119-121,2022.

[4]. Feng Yuan,Hu Dawei. Research on the construction of a cold chain distribution process model based on Petri net. Logistics Technology,31(1), pp:99-101,116, 2012.

[5]. Wen Bao. Modeling and simulation of cold chain logistics distribution process based on Petri net. Logistics Science and Technology,36(12),pp:102-105,2013.

[6]. Jan-Phillip Herrmann, Alexander Atanasyan, Felix Casser, Sven Tackenberg. A Petri Net Architecture for Real-Time Human Activity Recognition in Work Systems.Procedia Computer Science, vol.217, pp: 1188-1199,2022.

[7]. Kuldeep Kumar, Sumit, Sandeep Kumar, Lalit Kumar Singh, Alok Mishra.Predicting reliability of software in industrial systems using a Petri net based approach: A case study on a safety system used in nuclear power plant.Information and Software Technology, vol. 146,2022.

[8]. Wang Danyang,Sun Jie. Analysis of the cold chain logistics process of Shenyang Vice Food Group. China Storage and Transportation, No.159(12),pp:111-112,2013.

[9]. Wan Yulong. Construction of inter-zone structure and information system for cold chain logistics of fresh products in the post-epidemic era. Business Economic Research,2020(24), pp:86-90, 2020.

[10]. Mu Ge, Li Qiaoli, Meng Qingjun, Huang Yibin. System Modeling. Second Edition, pp: 117-136, 2013.

[11]. Berthomieu, Bernard, Peres, Florent, Vernadat, François. Time Petri Nets – Analysis Methods and Verification with TINA. Modeling and Verification of Real-Time Systems: Formalisms and Software Tools, pp:19-49, 2010.

Cite this article

Yao,J. (2023). Modeling New Cold Chain Logistics Processes in the Post-Epidemic Period Based on Petri Net. Advances in Economics, Management and Political Sciences,23,195-203.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Management Research and Economic Development

ISBN：978-1-915371-89-8(Print) / 978-1-915371-90-4(Online)
Editor：Javier Cifuentes-Faura, Canh Thien Dang
Conference website: https://2023.icmred.org/
Conference date: 28 April 2023
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.23
ISSN：2754-1169(Print) / 2754-1177(Online)

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References

[1]. Li Z-Xiang, Li Shuang-Mei, Zhang De-Zhi, et al. Virus prevention and control strategies in cold chain logistics in the post-epidemic era. Logistics Technology, 40(10), pp:11-15, 2021

[2]. Lin Zhenqiang. Current situation and trends of cold chain logistics park development in China. Logistics Technology and Application, 27(S2), pp:40-43, 2022.

[3]. Sun Yiling, Wang Bemeng. Problems and improvement measures of cold chain logistics cost management. Finance and Accounting Study, No.350(33),pp:119-121,2022.

[4]. Feng Yuan,Hu Dawei. Research on the construction of a cold chain distribution process model based on Petri net. Logistics Technology,31(1), pp:99-101,116, 2012.

[5]. Wen Bao. Modeling and simulation of cold chain logistics distribution process based on Petri net. Logistics Science and Technology,36(12),pp:102-105,2013.

[6]. Jan-Phillip Herrmann, Alexander Atanasyan, Felix Casser, Sven Tackenberg. A Petri Net Architecture for Real-Time Human Activity Recognition in Work Systems.Procedia Computer Science, vol.217, pp: 1188-1199,2022.

[7]. Kuldeep Kumar, Sumit, Sandeep Kumar, Lalit Kumar Singh, Alok Mishra.Predicting reliability of software in industrial systems using a Petri net based approach: A case study on a safety system used in nuclear power plant.Information and Software Technology, vol. 146,2022.

[8]. Wang Danyang,Sun Jie. Analysis of the cold chain logistics process of Shenyang Vice Food Group. China Storage and Transportation, No.159(12),pp:111-112,2013.

[9]. Wan Yulong. Construction of inter-zone structure and information system for cold chain logistics of fresh products in the post-epidemic era. Business Economic Research,2020(24), pp:86-90, 2020.

[10]. Mu Ge, Li Qiaoli, Meng Qingjun, Huang Yibin. System Modeling. Second Edition, pp: 117-136, 2013.

[11]. Berthomieu, Bernard, Peres, Florent, Vernadat, François. Time Petri Nets – Analysis Methods and Verification with TINA. Modeling and Verification of Real-Time Systems: Formalisms and Software Tools, pp:19-49, 2010.

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