Geospatial Application for Dairy Supply Chain Management

Abstract

The broad availability of geospatial data has changed how we think about solving problems. There are numerous uses for GIS and Remote Sensing in a variety of fields. Such a field includes Supply Chain Management where GIS is used to map various stages like producers, consumers, processing facilities, suppliers, distribution centres, and transportation routes for better decision making and enhanced flow of goods. In this study we are integrating geospatial technologies to map raw material source, routes taken for the delivery of processed items, areas served by a processing unit and finally model relationship between different factors of a dairy industry. Parameters taken involve import-export data of milk and milk products, roads network, service areas, and Normalized Difference Vegetation Index (NDVI). Aanchal Dairy in Dehradun district of Uttarakhand is considered for this study. The primary data was collected through field visits and the raw data was structured for further analysis. Secondary data was obtained from various verified internet sources. Results indicate certain regions with high quantity of raw milk supply and areas where processed products are delivered. Optimised routes and the areas where Aanchal Dairy provides its services are also defined. NDVI shows that places with high raw milk supply have better fodder for dairy cows. Finally the results are geospatially mapped and various relationships are presented in graphical form.