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Minimization of Logistics Cost and Carbon Emissions Based on Quantum Particle Swarm Optimization

Author

Listed:
  • Daqing Wu

    (College of Economics & Management, Shanghai Ocean University, Shanghai 201306, China
    Computer Science and Technology Institute, University of South China, Hengyang 421001, China
    School of Economics & Management, TongJi University, Shanghai 20092, China)

  • Jiazhen Huo

    (School of Economics & Management, TongJi University, Shanghai 20092, China)

  • Gefu Zhang

    (College of Economics & Management, University of South China, Hengyang 421001, China)

  • Weihua Zhang

    (College of Economics & Management, Shanghai Ocean University, Shanghai 201306, China)

Abstract

This paper aims to simultaneously minimize logistics costs and carbon emissions. For this purpose, a mathematical model for a three-echelon supply chain network is created considering the relevant constraints such as capacity, production cost, transport cost, carbon emissions, and time window, which will be solved by the proposed quantum-particle swarm optimization algorithm. The three-echelon supply chain, consisting of suppliers, distribution centers, and retailers, is established based on the number and location of suppliers, the transport method from suppliers to distribution centers, and the quantity of products to be transported from suppliers to distribution centers and from these centers to retailers. Then, a quantum-particle swarm optimization is described as its performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to balance the economic benefit and environmental effect.

Suggested Citation

  • Daqing Wu & Jiazhen Huo & Gefu Zhang & Weihua Zhang, 2018. "Minimization of Logistics Cost and Carbon Emissions Based on Quantum Particle Swarm Optimization," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3791-:d:177014
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    Citations

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    Cited by:

    1. Daryanto, Yosef & Wee, Hui Ming & Astanti, Ririn Diar, 2019. "Three-echelon supply chain model considering carbon emission and item deterioration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 368-383.
    2. Shouxu Song & Yongting Tian & Dan Zhou, 2021. "Reverse Logistics Network Design and Simulation for Automatic Teller Machines Based on Carbon Emission and Economic Benefits: A Study of the Anhui Province ATMs Industry," Sustainability, MDPI, vol. 13(20), pages 1-24, October.

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