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            <front>

                <journal-meta>
                                                                <journal-id>jmml</journal-id>
            <journal-title-group>
                                                                                    <journal-title>Journal of Management Marketing and Logistics</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">2148-6670</issn>
                                                                                            <publisher>
                    <publisher-name>Dilek TEKER</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.17261/Pressacademia.2017.461</article-id>
                                                                                                                                                                                            <title-group>
                                                                                                                                                            <article-title>INTELLIGENT ROUTING APPROACH FOR THE DISTRIBUTIONS REGARDING TO THE SUPPLY CHAIN MANAGEMENT OF AGRICULTURAL PRODUCTS AND FOODS</article-title>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                <name>
                                    <surname>Karakoc</surname>
                                    <given-names>Mehmet</given-names>
                                </name>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20170630">
                    <day>06</day>
                    <month>30</month>
                    <year>2017</year>
                </pub-date>
                                        <volume>4</volume>
                                        <issue>2</issue>
                                        <fpage>168</fpage>
                                        <lpage>177</lpage>
                        
                        <history>
                                    <date date-type="received" iso-8601-date="20170312">
                        <day>03</day>
                        <month>12</month>
                        <year>2017</year>
                    </date>
                                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 2014, Journal of Management Marketing and Logistics</copyright-statement>
                    <copyright-year>2014</copyright-year>
                    <copyright-holder>Journal of Management Marketing and Logistics</copyright-holder>
                </permissions>
            
                                                                                                                        <abstract><p>Purpose- In thisstudy, to effectively manage the supply chain intended for the storage,transportation and distribution of agricultural products and foods, anintelligent routing approach is proposed for accomplishing this distribution atlow cost. Methodology- As anactivity in logistics, the demands related to the exportation of variousfoods/goods in agricultural production are considered. It is assumed that avehicle fleet, each vehicle with a certain load capacity, starts at a depotwith the loads, visits a set of points using the shortest paths whileaccomplishing the related distributions and returns back to the depot. It isaimed to find the route set with the minimum cost so that all customers are tobe visited. Findings- The maincontribution of this study in which the Capacitated Vehicle Routing Problem hasbeen addressed is to find the route set to service all the customers in aregion while considering the points to be serviced globally; or for eachsub-region, the separated tours to service the related customer group whileconsidering them as subsets.Conclusion- Using thehybrid meta-heuristic algorithm including Genetic Algorithms and Local Searchdeveloped for the solution, low costly route sets with separated/global toursmay be generated within very short periods of time.</p></abstract>
                                                            
            
                                                                                        <kwd-group>
                                                    <kwd>Genetic algorithms</kwd>
                                                    <kwd>  capacitated vehicle routing problem</kwd>
                                                    <kwd>  logistics</kwd>
                                                    <kwd>  supply chain</kwd>
                                                    <kwd>  local search</kwd>
                                            </kwd-group>
                            
                                                                                                                                                    </article-meta>
    </front>
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