Centralized scheduling, decentralized scheduling or demand scheduling? How to more effectively allocate and recycle shared takeout lunch boxes

Efficient scheduling of shared takeaway containers plays a significant role in the sharing economy system. An effective scheduling system ensures the maximization of container reuse, reducing resource waste and environmental pollution. To explore the applicability of different scheduling models for...

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Veröffentlicht in:PloS one Jg. 20; H. 3; S. e0319257
Hauptverfasser: Bai, Yuntao, Liu, Di, Ma, Jili
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 04.03.2025
Public Library of Science (PLoS)
Schlagworte:
Algorithms
Automation
Biology and Life Sciences
Boxes
Comparative analysis
Computer and Information Sciences
Containers
Costs
Differential games
Efficiency
Electric vehicles
Engineering and Technology
Environmental pollution
Feeds
Food service
Game Theory
Hydroelectric power
Information systems
Integer programming
Interdisciplinary aspects
Job shops
Logistics
Lunchboxes
Management research
Mass casualty incidents
Medicine and Health Sciences
Methods
Models, Theoretical
Optimization
Recycling - economics
Recycling - methods
Restaurants
Restaurants - economics
Revenue
Scheduling
Sharing economy
Social Sciences
User experience
Waste management
China
ISSN:1932-6203, 1932-6203
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Zusammenfassung:Efficient scheduling of shared takeaway containers plays a significant role in the sharing economy system. An effective scheduling system ensures the maximization of container reuse, reducing resource waste and environmental pollution. To explore the applicability of different scheduling models for shared takeaway containers, this paper constructs differential game models for three modes: centralized scheduling, decentralized scheduling, and demand-based scheduling. The equilibrium outcomes are compared and analyzed. The research findings indicate that when the revenue from scheduling takeaway containers is low, decentralized scheduling can yield the maximum benefit for takeaway platforms; conversely, when the revenue is high, centralized scheduling offers the greatest benefit. For restaurant enterprises, when the revenue from scheduling is low, if the cost of scheduling is also low, demand-based scheduling can provide the maximum benefit; however, if the cost is high, decentralized scheduling is more advantageous; otherwise, centralized scheduling can maximize the benefits for restaurant enterprises.
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Competing Interests: The authors have declared that no competing interests exist.
These authors contributed equally to this work and share first authorship.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0319257