In comparison to other businesses, the newspaper industry has a unique distribution strategy that avoids stockpiling of goods. This problem is similar to the vehicle routing problem in that it seeks to determine the best newspaper distribution route by taking future demand projections into account. Demand forecasting using the linear regression approach, with a 5% annual increase in demand. Using the saving matrix approach with nearest insert, farthest insert, nearest neighbor, sweep, and greedy algorithms, determine the ideal distribution path to reduce distribution costs. Routes 1, 2, and 3 were found to have a total distance of 74.5 km, 80.1 km, and 21 km, respectively, in the final results. After determining the most optimal newspaper distribution route, then calculate the amount of emissions produced in each distribution activity. The operation of a fleet of trucks emits 15,992 tons of CO2 per year into the atmosphere.
Determining Newspaper Distribution Routes to Reduce Environmental Emissions with Saving Matrix Method Based on Demand Forecasting for Green Logistics
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