Intelligent Crowd Logistics Optimization with Shared Warehouses: A Multi-Objective Mathematical Model for Sustainable UrbanParcel Delivery

  • سال انتشار: 1402
  • محل انتشار: پنجمین کنفرانس بین المللی مدیریت و صنعت
  • کد COI اختصاصی: ICMMMN05_038
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 455
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نویسندگان

Mohammad Safari

Department of Industrial Engineering, Logistics and Supply Chain, Mazandaran University of Science and Technology, Mazandaran, Iran

Reza Safari

Department of Industrial Management, Systems Management, Islamic Azad University, North Tehran Branch, Iran

چکیده

The increasing demands of urban freight transport and last-mile parcel delivery pose significantchallenges to traditional logistics systems, leading to inefficiencies and environmentalconsequences. As a promising solution, crowd logistics has emerged, harnessing the collectiveefforts of individuals and the social crowd [۱]. In this paper, we propose an advanced multiobjectivemathematical model that revolutionizes crowd logistics by incorporating sharedwarehouses into the optimization process [۸]. Our model aims to co-create an efficient andsustainable urban transport system that addresses the complexities of urban parcel delivery. Byconsidering crowd tasking, vehicle routing, real-time data, sustainability factors, and the strategicutilization of shared storage spaces, we present an innovative approach to optimize crowd logistics[۹]. Through extensive simulations and empirical evidence from crowd logistics implementationsin diverse urban environments, we demonstrate the effectiveness of our approach [۱۸]. Theresearch showcases the potential of intelligent crowd logistics with shared warehouses to enhanceefficiency, reduce environmental impact, and improve customer satisfaction in urban freighttransport.

کلیدواژه ها

Crowd Logistics, Shared Warehouses, Multi-Objective Optimization, Urban Parcel Delivery, Sustainable Transport System

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