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Table 2.1 Saving matrix Table 2.2 Saving routing Table 2.3 Comparison of routing cost Picture 2.1 Comparing the Results on Actual routing and saving routing This study proposes a cost-saving method of managing a fleet of garbage trucks in Nang Lae district, Chiang Rai province. The study explores the underutilized garbage collection capacity of the garbage trucks on the existing “sub-efficient” routing and then apply “Heuristic saving matrix” approach to develop a more efficient garbage truck routes. The study utilizes satellite images map from Bing map to obtain the routing data to closely mimic the real world’s usage. The key variables include 1) number of vehicles, 2) capacity of vehicle, 3) amount of garbage, 4) the distance between nodes, 5) costs, and 5) time spent on each route. INTRODUCTION DATA COLLECTION 1.Analyze primary information involve costs of transportation, time, distance, garbage volume, and also vehicle’s capacity. 2.Create distance matrix table. 3.Used saving equation to find the lowest saving link. 4.Find a lower saving link in the saving matrix until all links are adding in routing. – If a total volume of garbage in the link is capacity overload, then assort another lower link. – If a total volume of garbage in the link is not overload, then add new another route in a trip. 5.Create saving routing 6.Compared actual routing and saving routing to conclusion. Picture 1.1The link between nodes.(Bing Maps) Picture 1.2 Nang lae municipal district map.(the nodes which collect the garbage) Table 1.1 Position and garbage volume. ( From picture 1.2) METHODRESULTCONCLUSION The study of garbage truck routing by “Heuristic saving matrix” approach is resulted as the logistic costs reduction developing plan which is as same as the result of the study on Heuristic transportation desire (Chomlaall, 2006) and the study of heuristic transportation decision (Sommut, 2008). The result from “Heuristic saving matrix” approach yields that the number of routes are reduced from 10 to 6 (40% decrease), the number of vehicles are reduced from 10 to 6 (40% decrease), amount of employees are decreased from 20 to 12 (60% decrease), the total distance is decreased from 132 to 99 km.(25% decrease), the cost of fuel per trip is decreased from 249 to 182 baths(22% decrease), and the total cycle time is decreased from 244 to 170 minutes (25% decrease). In conclusion, the logistics costs of heuristic saving matrix approach’s garbage truck routing are substantially reduced. And the efficiency of garbage truck routing increases REFERENCE Bing maps. (2012). Retrieved August 27, 2012, from Bing: www.bing.com/maps Clarke,G. and J.Wright. (1964, July/August 12). Scheduling of vehicle from a central depot to a number of delivery points. Operations Research, pp. 568-581. Gillet, B.and L.Miller. (1974). A heuristics algorithm for the vehicle-dispatch problem. Operations Research 22, pp. 340-349. Golden, B.L., A.A. Assad and M.O. Ball. (1983, 10 2). Routing and scheduling of vehicle and crews. Computer and Operations Research, pp. 63-211..Chomlaall,T et.al. (2006).A Heuristic to minimize cost for capacitated vehicles in vehicle routing problem with time windows. Faculty of Engineering, Industrial Engineering Major: King Mongkut’s University of Technology Thonburi Jitpipatpong, P and Montatipkul, C. (2008). Utilization of Excel Solver for improving vehicle routing. Faculty of Management and Innovation, Logistic Management major: King Mongkut’s University of Technology Thonburi Sommut, N. (2009). GRASP Heuristic for vehicle routing problem case study: Thanthip factory of drinking water. Thesis of Master of Engineering, Industrial Engineering Major: Ubon Ratchathani University CONTACT Mr. Krittanate Tungjidvittayakul E-mail krittanate@gmail.com To develop more efficient garbage truck routing. To apply information technology on garbage truck routing analysis. School of Management, Logistics and Supply Chain Management Major, Mae Fah Luang University Krittanate Tungjidvittayakul A Study of Garbage Truck Routing by Heuristic Approach in Nang Lae District, Chiang Rai Province. OBJECTIVES This independent study is Quantitative Research. The sample of study is Nang lae district, Chiang Rai province and populations are muban(village) 2, 3, 4, 5, 6, 9, 10, 12, 13 and 15. Primary data The collected data is the time between each node to incinerator per tour. Secondary data Collected the information from Nang lae municipal district which are costs of transportation, garbage volume at each node, and garbage truck’s capacity. Collected the information about the distances that is linked each node to incinerator (km.) from Bing map. This study used saving equation to solve vehicle routing problem which is S(x,y) = Dist( DC, x ) + Dist( DC, y ) - Dist( x, y ) RESEARCH LIMITATIONS 1).The distance –variation is direct influences to garbage collect cost. 2).If the tour distances have decreased, the time is decreasing as well. 3).The time in each links is constant.4).In the end, tour garbage truck must return to started node.