Crowdsourcing Service-Last Mile Logistics in Rural Areas: Based on the Heuristic Approach (Case Study in : Indah Cargo Logistics)

Sabdoadi, Septa Niki, 51904090019 and Puspitorini, Pipit Sari, 0709127801 and Rosyida, Erly Ekayanti, 0702038201 (2023) Crowdsourcing Service-Last Mile Logistics in Rural Areas: Based on the Heuristic Approach (Case Study in : Indah Cargo Logistics). Bachelor thesis, Universitas Islam Majapahit.

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Abstract

ABSTRACT This study aims to explore the model of crowdsourcing service-last-mile logistics in rural areas and determine the minimal cost of the fastest route. The last-mile delivery plays a critical role in the supply chain, especially in reaching end consumers. The research employs a heuristic approach to optimize logistics operations in rural areas by leveraging the potential participation of the community in parcel delivery. The study utilizes data such as customer locations, distance between locations, customer demands, vehicle capacities, and travel costs to develop an efficient and effective model for last-mile delivery. By considering factors such as distance, route complexity, time sensitivity, and customer engagement, the research aims to find the optimal solution that minimizes costs and provides the fastest route for crowdsourcing service-last-mile logistics in rural areas. The findings of this research will contribute to the development of sustainable and optimal last-mile delivery systems in rural contexts, thereby minimizing operational costs, enhancing customer satisfaction, and improving logistics performance in rural areas. Future research can explore additional heuristic methods, incorporate other relevant factors, and leverage advanced technologies such as big data analysis and machine learning to further enhance the accuracy and efficiency of the last-mile delivery process. Keywords: crowdsourcing, rural areas, routing, sustainable last-mile logistics, and total cost

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