A Proposed Model for Inventory Management to Minimize the Rate of Raw Materials Tied up of Textile Industry with Lean Engineering Tools

International Journal of Mechanical Engineering

© 2023 by SSRG - IJME Journal

Volume 10 Issue 8

Year of Publication : 2023

Authors : Aryanna Aguilar-Paz, Joel Bellido-Yarlque, Juan Carlos Quiroz-Flores, S. Nallusamy

10.14445/23488360/IJME-V10I8P102

How to Cite?

Aryanna Aguilar-Paz, Joel Bellido-Yarlque, Juan Carlos Quiroz-Flores, S. Nallusamy, "A Proposed Model for Inventory Management to Minimize the Rate of Raw Materials Tied up of Textile Industry with Lean Engineering Tools," SSRG International Journal of Mechanical Engineering, vol. 10,  no. 8, pp. 11-20, 2023. Crossref, https://doi.org/10.14445/23488360/IJME-V10I8P102

Abstract:

This research focuses on improving the stock rotation of the raw materials warehouse of a sheep wool yarn production plant. The objective is to reduce excessive operating costs, the misuse of resources and improve the distribution of materials in the warehouse. This article develops an innovative solution, where the 7S, Poka-yoke, Slotting, and Kardex tools were used to improve the deficiencies in the inventory management systems and the storage conditions of the materials, as well as errors in the stock register. The case study is divided into four stages analysis of the problems and causes, improvement of inventory management activities and tools, evaluation of the impacts generated, and validation of the proposed model. This was carried out in the simulation software Arena, where an increase from 0.83 to 2.4 in raw material turnover, reduced errors in inventory control, and an improvement in the efficiency of inventory management were observed. This case study provides a foundation for other lines of investigation and the model's use by businesses with comparable traits.

Keywords:

Inventory, Textile industry, 7S, Poka-yoke, Kardex, Slotting, Lean warehousing.

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