Propuesta de mejora para el almacenamiento y alistamiento de pedidos : caso de estudio Cosmetic Fashion Corporation S.A

Warehouse logistics management is a fundamental part in the correct execution of the supply chain, picking being the most critical process considering that the costs constitute between 50% and 75% of the total costs of operating in a common warehouse. In this document, we studied the case of the Col...

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Autores:
Fuentes Méndez, Juan Felipe
Herrera Monterrosa, Sebastián José
Ladino Bravo, Sebastián Alejandro
Lozano Otalora, Francisco Javier
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2019
Institución:
Pontificia Universidad Javeriana
Repositorio:
Repositorio Universidad Javeriana
Idioma:
spa
OAI Identifier:
oai:repository.javeriana.edu.co:10554/53085
Acceso en línea:
http://hdl.handle.net/10554/53085
Palabra clave:
Almacenamiento
Pedido de alistamiento
Depósito
Cosecha
Minimización del tiempo de picking
Storage
Order enlistment
Warehouse
Picking
Picking time minimization
Ingeniería industrial - Tesis y disertaciones académicas
Mejoramiento de procesos
Logística empresarial
Abastecimiento y distribución
Ingeniería de la producción
Tiempos y movimientos
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
Description
Summary:Warehouse logistics management is a fundamental part in the correct execution of the supply chain, picking being the most critical process considering that the costs constitute between 50% and 75% of the total costs of operating in a common warehouse. In this document, we studied the case of the Colombian company Cosmetic Fashion Corporation S.A, which records long times in the operation of the finished product warehouse and customer complaints about the late delivery. The proposed solution is an application that allows the company to know the location of each product in the warehouse and the route that an operator must follow to complete an order. The process of creating the solution begins with the characterization of the input parameters that are subsequently used in the proposed optimization methodologies. To solve the allocation problem, we proposed 2 layout options and 4 area relevance options per layout. It tackled through two approaches, mathematical models of mixed integer programming and metaheuristic designs. The routing problem was proposed following the same two methodologies and fulfills two objectives, measuring the performance of the assignments of the different proposed scenarios and giving the optimal route. Considering only the proposed assignment, and if a new tunnel is added it reduced in 22% the distances traveled and 14% if the current design remains. For the verification of the performance of the methodology’s, scenarios were simulated and compared with real times, where it shows a decrease of 19% of the total times only evaluating the picking and 24% considering the allocation and picking in the current design of the warehouse.