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Research on Arena Simulation Application for Parcel Pickup Queuing System
School of Management, Wuhan University of Science and Technology, Wuhan, China.
School of Management, Wuhan University of Science and Technology, Wuhan, China.ORCID iD: 0009-0002-3466-5812
KTH, School of Industrial Engineering and Management (ITM), Production engineering. School of Management, Wuhan University of Science and Technology, Wuhan, China; Sanya Science and Education Innovation Park of Wuhan University of Technology, Sanya, China.ORCID iD: 0000-0001-7585-4674
KTH, School of Industrial Engineering and Management (ITM), Production engineering. Sanya Science and Education Innovation Park of Wuhan University of Technology, Sanya, China.
2024 (English)In: Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014, IOS Press , 2024, p. 485-492Conference paper, Published paper (Refereed)
Abstract [en]

With the continuous improvement of people's living standards, especially under the influence of shopping festivals such as '618', 'Double 11,' and 'Double 12', the competition in the express delivery industry is becoming increasingly fierce. Since there is no express cabinet in many areas, it is necessary to go to the express station to pick up the parcel in person. Therefore, pick-up efficiency affects the customer's satisfaction with the express station. To improve customer satisfaction, we must first improve the efficiency of pick-up. Many express companies now adopt a combination of self-service and manual methods to solve the problem of too long waiting times in picking up parcels. However, it is still inevitable that there will be too long waiting times in shopping festivals due to the explosion of express delivery. In order to improve the pick-up efficiency, this paper uses Arena to establish a simulation model to simulate the pick-up waiting situation and allocate the number of self-service pick-up machines and manual services to solve the problem of excessively long waiting times during pick-up.

Place, publisher, year, edition, pages
IOS Press , 2024. p. 485-492
Keywords [en]
Arena software, Pick up the parcel, Simulation
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-350572DOI: 10.3233/ATDE231360Scopus ID: 2-s2.0-85189357898OAI: oai:DiVA.org:kth-350572DiVA, id: diva2:1884812
Conference
7th International Conference of Artificial Intelligence, Medical Engineering, Education, AIMEE 2023, Guangzhou, China, Nov 9 2023 - Nov 10 2023
Note

Part of ISBN 9781643684901

QC 20240718

Available from: 2024-07-18 Created: 2024-07-18 Last updated: 2024-07-18Bibliographically approved

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Wang, Yong

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