• Parth Hindocha
• Narayan Kamdar
• Nihar Jain

This paper reviews the applications of Operations Research in Supply Chain Management. This study examined how truck full load of goods be transported from point of origin to point of consumption within and outskirts of the Island City of India, Mumbai. Eight different supply centres were selected & with help of Hungarian method, each one was allocated eight different times. With the assistance of Google maps real-time traffic data has been collected in order to allocate the truck at a specific time to a specific location. Screenshots form a part of data analysis which proves to be a fruitful tool of the modern technology imbibed in smartphones. We assume that the factory has one truck and it has to deliver the supplies to 8 different locations in the 24-hour period. In addition to that the truck has to empty the supplies and return to the point of origin in the stipulated time. It is observed that it is not necessary that the traffic on different routes is constant which means that the amount of traffic on the route from the point of origin to a particular point of destination is not constant throughout the 24 hour period. Thus, through Hungarian method, different departure time slots were assigned to different destinations in order to achieve optimality.

Operation Research Traffic Google Maps

"Assignment and Vehicle Scheduling Problem using Real Time Traffic Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.611-623, October-2018, Available :http://www.jetir.org/papers/JETIR1810489.pdf

"Assignment and Vehicle Scheduling Problem using Real Time Traffic Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp611-623, October-2018, Available at : http://www.jetir.org/papers/JETIR1810489.pdf