Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
A common problem in mega cities is congestion, due to the size of the automotive park, this makes that the perishable foods decreasing their organoleptic characteristics or increases their losses, which requires considering the effect of time on routing problems. The state of the art demonstrates the need to formulate new routing models that include the specific characteristics of perishable foods in order to reduce their losses. | Journal of Industrial Engineering and Management JIEM 2019 - 12 2 318-327 - Online ISSN 2013-0953 - Print ISSN 2013-8423 https doi.org 10.3926 jiem.2770 Last Mile Logistics in Mega-Cities for Perishable Fruits Javier Arturo Orjuela-Castro1 Juan Pablo Orejuela-Cabrera Wilson Adarme-Jaimes 1 Universidad Distrital Francisco José de Caldas Colombia 2Facultad de Ingeniería Universidad del Valle Colombia 3Facultad de Ingeniería Universidad Nacional de Colombia Colombia jorjuela@udistrital.edu.co juan.orejuela@correounivalle.edu.co wadarmej@unal.edu.co Received October 2018 Accepted May 2019 Abstract Purpose A common problem in mega cities is congestion due to the size of the automotive park this makes that the perishable foods decreasing their organoleptic characteristics or increases their losses which requires considering the effect of time on routing problems. The state of the art demonstrates the need to formulate new routing models that include the specific characteristics of perishable foods in order to reduce their losses. Design methodology approach A mathematical model was formulated based on two classical models the three-index vehicle flow model proposed by Golden Assad Levy Gheysens 1984 and the time window model proposed by Cordeau Desaulniers Desrosiers Solomon Soumis 1999 . We proposed a novel VRP Model that permits reductions loss due to the perishable. Findings The optimum cost is found with AMP for twenty nodes six vehicles and six fruits. For more nodes a two-phase strategy is proposed first a clustering based on a modified p-median model and then a VRP for each cluster. Research Hmitations implications The results showed the need to investigate multiobjective models since the performance measures can be efficiency quality and response capacity the model can be applied in other supply chains of perishable foods. Social implications According to FAO in Logistics practices in the last mile generate between 10-30 of the perishable food loss in developing
