{"id":211,"date":"2013-03-04T11:25:44","date_gmt":"2013-03-04T09:25:44","guid":{"rendered":"http:\/\/www.nano-micro.gr\/bl\/?page_id=211"},"modified":"2014-05-04T11:04:19","modified_gmt":"2014-05-04T08:04:19","slug":"carton-box-optimization","status":"publish","type":"page","link":"https:\/\/nano-micro.gr\/bl\/?page_id=211","title":{"rendered":"Carton Box Optimization for textile cone packaging"},"content":{"rendered":"

Software for carton-box<\/a>\/container layout optimization<\/strong><\/p>\n

Textile industry faces the challenge of optimal packaging of cone-shaped paper yarn carriers, used for winding and transporting yarn. The scope of this project was to develop a software application that would find optimal solutions, regarding the layout of boxed textile cones inside a container. The goal was to maximize the number of \u00a0packaged cones and eventually minimize transport costs. The project was developed for a multi-million dollar corporation; a leader in the textile cone industry.<\/p>\n

During transportation, the cones are arranged in sticks, which \u00a0are layed in rows in boxes. \u00a0We assume that boxes can be arranged in the container in two\u00a0different\u00a0directions. A multivariate optimization\u00a0 algorithm \u00a0is used to find optimal configurations of the input parameters according to a cost function.\u00a0The metric towards which optimization is performed, is the number of cones in the container. The aim of the application isto maximize the total number of cones packaged in the container.\u00a0Some of the input parameters are:<\/p>\n