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          <dc:identifier>https://hdl.handle.net/2286/R.I.35422</dc:identifier>
                  <dc:rights>http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
          <dc:rights>All Rights Reserved</dc:rights>
                  <dc:date>2015</dc:date>
                  <dc:format>vii, 79 pages : color illustrations, color maps</dc:format>
                  <dc:type>Masters Thesis</dc:type>
          <dc:type>Academic theses</dc:type>
          <dc:type>Text</dc:type>
                  <dc:language>eng</dc:language>
                  <dc:contributor>Li, Xiaoyan</dc:contributor>
          <dc:contributor>Askin, Ronald</dc:contributor>
          <dc:contributor>Wu, Teresa</dc:contributor>
          <dc:contributor>Pan, Rong</dc:contributor>
          <dc:contributor>Arizona State University</dc:contributor>
                  <dc:description>Partial requirement for: M.S., Arizona State University, 2015</dc:description>
          <dc:description>Includes bibliographical references (pages 63-67)</dc:description>
          <dc:description>Field of study: Industrial engineering</dc:description>
          <dc:description>This thesis presents a successful application of operations research techniques in nonprofit distribution system to improve the distribution efficiency and increase customer service quality. It focuses on truck routing problems faced by St. Mary’s Food Bank Distribution Center. This problem is modeled as a capacitated vehicle routing problem to improve the distribution efficiency and is extended to capacitated vehicle routing problem with time windows to increase customer service quality. Several heuristics are applied to solve these vehicle routing problems and tested in well-known benchmark problems. Algorithms are tested by comparing the results with the plan currently used by St. Mary’s Food Bank Distribution Center. The results suggest heuristics are quite completive: average 17% less trucks and 28.52% less travel time are used in heuristics’ solution.</dc:description>
                  <dc:subject>Industrial Engineering</dc:subject>
          <dc:subject>Operations Research</dc:subject>
          <dc:subject>Ant Colony Algorithm</dc:subject>
          <dc:subject>Capacitated Vehicle Routing Problem with Time Windows</dc:subject>
          <dc:subject>Local Search</dc:subject>
          <dc:subject>Vehicle routing problem</dc:subject>
          <dc:subject>Vehicle routing problem</dc:subject>
                  <dc:title>Capacitated vehicle routing problem with time windows: a case study on pickup of dietary products in nonprofit organization</dc:title></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>
