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Permanent URI for this communityhttps://axces.info/handle/10.18687/46

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20202
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Author: del Carpio, Christian Subject: Kanban

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    Planificación y Gestión de Inventarios en la cadena de Suministro del sector Post Venta Automotriz
    (LACCEI Inc., 2020-07) Rodríguez, Sofia; López, Héctor; Viacava, Gino; del Carpio, Christian
    This article examines the problem of inattentions that occur at the time of performing the vehicle maintenance service in a company in the automotive sector. Currently, the inattentions represent monthly between 40% and 50% of the total number of car services, causing the payment of penalties by the company, which represents an economic loss of 25% with respect to its monthly income. The problem lies due to shortage of spare parts, as stock breaks occur due to improper planning and programming of supply. Therefore, to address the lack of spare parts, a proposal was developed that for preventive maintenance is based on the use of a Kanban System based on Pull principles, while for corrective maintenance an ABC system is used for the classification of spare parts in conjunction with an inventory system Model EOQ (Economic Purchase Lot) in order to define the minimum and maximum levels of inventories. This proposal aims to have auto parts availability through supply management by reducing the costs incurred in penalties by 77% by reducing the number of neglects by 61%, with an investment recovery period of 1 year.
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    Lean model to reduce picking time delays through Heijunka, Kanban, 5S and JIT in the construction sector
    (LACCEI Inc., 2020-07) de la Cruz, Haydeé; Altamirano, Ernesto; del Carpio, Christian
    Delays in the time of preparation of orders in a warehouse of materials and construction tools affect delivery times, which affects the level of service and consequently the loss of customers. This, due to the waste in the existing system such as the lack of planning of the process inputs, inefficient procedures, lack of organization and total cleaning. Therefore, this document proposes the application of a Lean Model of picking based on Heijunka, Kanban, 5S and JIT techniques, to eliminate waste (time, movement and inventory). After proposing the improvements, support was made in a stochastic tool to validate the changes with respect to the current situation. Consequently, significant improvements were observed, particularly in the collector's load, reducing its load by 56.29%, eliminating the waiting times for requirements and increasing the orders served. This leads to the improvement of the productivity of the picking operation at 47.07%, resulting in timely deliveries.