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Last-mile delivery bears a significant impact in today's competitive environment as it contains the major amount of cost in the supply chain. Here Hub and Spoke model is used as network optimization strategy to decrease the delivery cost. Besides the crowdsourced approach is one of the key topics and is continuously being studied to reduce delivery time and costs. This paper proposes a mathematical model for a crowdsourced supply chain network using hub and spoke model to minimize the transportation cost of the system. The analysis tries to test and quantify the performance of the model using the supply chain of a renowned company in Bangladesh. The model generates locations for the echelons and scales a grid in which the factories, warehouses, sales outlets, customer locations, and the drivers reside. In the model, two alternative methods are used for last-mile delivery to make a comparison of the transportation cost. By using a linear programming model in MATLAB, the effects of crowdsourcing on the supply chain are emphasized. The result is evaluated and analyzed for practical use. [ABSTRACT FROM AUTHOR]

Last-mile delivery bears a significant impact in today’s competitive environment as it contains the major amount of cost in the supply chain. Here Hub and Spoke model is used as network optimization strategy to decrease the delivery cost. Besides the crowdsourced approach is one of the key topics and is continuously being studied to reduce delivery time and costs. This paper proposes a mathematical model for a crowdsourced supply chain network using hub and spoke model to minimize the transportation cost of the system. The analysis tries to test and quantify the performance of the model using the supply chain of a renowned company in Bangladesh. The model generates locations for the echelons and scales a grid in which the factories, warehouses, sales outlets, customer locations, and the drivers reside. In the model, two alternative methods are used for last-mile delivery to make a comparison of the transportation cost. By using a linear programming model in MATLAB, the effects of crowdsourcing on the supply chain are emphasized. The result is evaluated and analyzed for practical use. [ABSTRACT FROM AUTHOR]

Crowdsourced delivery is considered a possible solution to the last-mile on-demand delivery challenge. This paper aims to identify and analyze an optimized & efficient supply chain network solved with hub and spoke model using a crowdsourced approach. For this approach, a well-known retail company of Bangladesh is considered that automatically creates matches between parcel delivery tasks and ad hoc drivers. This platform is a chain of Bangladeshi department stores specializing in Bengali ethnic wear and handicrafts. The secondary data is collected from the company. The performance of the crowdsourced last-mile delivery is investigated with regard to service level and assets utilization. The main focus of the resulting model is to minimize the total transportation cost and how crowdsourcing will affect the whole chain. Hub and spoke distribution paradigm is a form of transport topology optimization in which traffic planners organize routes as a series of "spokes" that connect outlying points to a central "hub". The supply chain network includes a number of manufacturers, suppliers, distributer locations and demand points which need to be located not just randomly but as a result of careful calculation to minimize the overall cost and increase the supply chain surplus. The presented model and analysis are the results of an experiment of the supply chain network of the platform toward engaging in social network-reliant package delivery. The hub and spoke model is an excellent approach to make the whole system more robust and agile by receiving products from many different origins, consolidating the products and sending them directly to destinations. Crowdsourcing is the process of obtaining ideas, services or information by soliciting feedback from a large group of people. Here in this paper, the effects of crowdsourcing on the supply chain is emphasized by using a linear programming model in MATLAB. The result will be evaluated and analyzed for further improvement and practical use. [ABSTRACT FROM AUTHOR]