Optimizing Fill Rate and Inventory Control in Peruvian Bakery SMEs through 5S and MRP Integration

International Journal of Mechanical Engineering
© 2024 by SSRG - IJME Journal
Volume 11 Issue 11
Year of Publication : 2024
Authors : Martin Fidel Collao-Diaz, Martha Valeria Saavedra-Cielo, Wilson D. Calderón, Don Reimer
pdf
How to Cite?

Martin Fidel Collao-Diaz, Martha Valeria Saavedra-Cielo, Wilson D. Calderón, Don Reimer, "Optimizing Fill Rate and Inventory Control in Peruvian Bakery SMEs through 5S and MRP Integration," SSRG International Journal of Mechanical Engineering, vol. 11,  no. 11, pp. 24-33, 2024. Crossref, https://doi.org/10.14445/23488360/IJME-V11I11P103

Abstract:

Nowadays, Small and Medium Enterprises (SMEs) are exposed to economic losses due to bad decisions, one of the main ones being the management of raw material inventories. This has consequences for the entire production and sales flow. Without the necessary material to produce, there are no products to sell, affecting the satisfaction of demand and, subsequently, the Fill Rate. Therefore, the motivation and objective of this research are to design an inventory management system and analyze the reasons and causes that decrease the fill rate of customers in SMEs in the bakery sector. To address this challenge, the objective is to raise the fill rate from 86% to an optimum of 94%, as indicated by the technical gap. The solutions are based on lean tools such as the 5S-Material Requirements Planning (MRP) methodology and demand forecasting methods. This proposed solution aims to improve the company’s quantitative and qualitative indicators to make bakery industries more competitive in the changing and competitive market.

Keywords:

Fill Rate, Warehouse Management, Inventory, Demand Forecast, 5S, MRP, Bakery Sector.

References:

[1] James Clerk Maxwell, and Joseph John Thomson, A Treatise on Electricity and Magnetism, Oxford University Press, vol. 2, pp. 1-20, 1892.
[Google Scholar] [Publisher Link]
[2] José Chávez et al., “Lean Production Management Model for SME Waste Reduction in the Processed Food Sector in Peru,” Advances in Manufacturing, Production Management and Process Control, Advances in Intelligent Systems and Computing, pp. 53-62, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[3] S. Nallusamy, R. Balaji, and S. Sundar, “Proposed Model for Inventory Review Policy through ABC Analysis in an Automotive Manufacturing Industry,” International Journal of Engineering Research in Africa, vol. 29, pp. 165-174, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Kristina Zgodavova et al., “Innovative Methods for Small Mixed Batches Production System Improvement: The Case of a Bakery Machine Manufacturer,” Sustainability, vol. 12, no. 15, pp. 1-20, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Campos-Sonco et al., “Warehouse Management Model to Increase the Level of Service in Peruvian Hardware SMEs,” 20th LACCEI International Multi-Conference for Engineering, Education, and Technology, Boca Raton, Florida-USA, pp. 1-9, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Jose Luis Cardona Tunubala, Juan Pablo Orejuela Cabrera, and Carlos Alberto Rojas Trejos, “Warehousing and Inventory Management for Raw Materials in the Concentrated Food Sector,” Revista EIA, vol. 15, no. 30, pp. 195-208, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Edgar D. Ramos et al., “Inventory Management Model Based on Lean Supply Chain to Increase the Service Level in a Distributor of Automotive Sector,” International Journal of Supply Chain Management, vol. 9, no. 2, pp. 113-131, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Rogger Arturo Bravo Bayona, and Teonila Doria García Zapata, “Control of the Replenishment Process for Stock Management and its Impact on the Level of Customer Service in a Mass Marketing Company,” Industrial Data, vol. 16, no. 2, pp. 25-37, 2013.
[Google Scholar] [Publisher Link]
[9] Mugilan Govindaraju, Kathiresan V. Sathasivam, and Kasi Marimuthu, “Waste to Wealth: Value Recovery from Bakery Wastes,” Sustainability, vol. 13, no. 5, pp. 1-16, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Nadia Jurado-Muñoz et al., “Lean Inventory Management Model to Reduce Defective Products in Peruvian Baking SMEs,” 2021 10th International Conference on Industrial Technology and Management, Cambridge, United Kingdom, pp. 46-50, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Belmiro P.M. Duarte, André M.M. Gonçalves, and Lino O. Santos, “Optimal Production and Inventory Policy in a Multiproduct Bakery Unit,” Processes, vol. 9, no. 1, pp. 1-14, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Iman Haddad Qaisara Dhia Mohd Mahzan, and Khai Loon Lee, “Elimination of Misconduct in Manual Counting Process as an Improvement of Inventory Accuracy in A Manufacturing Company,” International Journal of Industrial Management, vol. 10, no. 1, pp. 140-150, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[13] P. Raghuram, and Mahesh Kumar Arjunan, “Design Framework for a Lean Warehouse – A Case Study-Based Approach,” International Journal of Productivity and Performance Management, vol. 71, no. 6, pp. 2410-2431, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] V. Saravanan, S. Nallusamy, and Abraham George, “Efficiency Enhancement in a Medium Scale Gearbox Manufacturing Company through Different Lean Tools - A Case Study,” International Journal of Engineering Research in Africa, vol. 34, pp. 128-138, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Yuchen Jiang, Cong Shi, and Siqian Shen, “Service Level Constrained Inventory Systems,” Production and Operations Management, vol. 28, no. 9, pp. 2365-2389, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Wuyi Lu, Janet Efstathiou, and Ernesto Del Valle Lehne, “Customer Service Level in a Lean Inventory under Mass Customization,” Mass Customization: Challenges and Solutions, International Series in Operations Research & Management Science, vol. 87, pp. 233-250, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Shu Guo et al., “Inventory Management in Mass Customization Operations: A Review,” IEEE Transactions on Engineering Management, vol. 66, no. 3, pp. 412-428, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Gunji Venkata Punna Rao, S. Nallusamy, and M. Rajaram Narayanan, “Augmentation of Production Level Using Different Lean Approaches in Medium Scale Manufacturing Industries,” International Journal of Mechanical Engineering and Technology, vol. 8, no. 12, pp. 360-372, 2017.
[Google Scholar] [Publisher Link]
[19] Juan Gregorio Arrieta, “The 5 Pillars of the Visual Factory,” EAFIT Revista University, vol. 35, no. 114, pp. 35-48, 2012.
[Publisher Link]
[20] Catarina Castro et al., “Logistics Reorganization and Management of the Ambulatory Pharmacy of a Local Health Unit in Portugal,” Evaluation and Program Planning, vol. 80, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Anand Gurumurthy, Vinoth Kumar Nair, and S. Vinodh, “Application of a Hybrid Selective Inventory Control Technique in a Hospital: A Precursor for Inventory Reduction through Lean Thinking,” The TQM Journal, vol. 33, no. 3, pp. 568-595, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Malak Mouaky, Abdelaziz Berrado, and Loubna Benabbou, “Using a Kanban System for Multi-Echelon Inventory Management: the Case of Pharmaceutical Supply Chains,” International Journal of Logistics Systems and Management, vol. 32, no. ¾, pp. 496-519, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Hugo G. Schmidt, “Reduction of Flammable Inventory: Use of Kanban in Research Settings,” ACS Chemical Health & Safety, vol. 27, no. 1, pp. 20-23, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Sofia Rodríguez et al., “Inventory Planning and Management in the Automotive after-Sales Supply Chain,” 18th LACCEI International Multi-Conference for Engineering, Education, and Technology, pp. 1-11, 2020.
[Google Scholar] [Publisher Link]
[25] K. Balakannan et al., “Performance Evaluation of Supply Chain and Logistics Management System using Balanced Score Card for Efficiency Enhancement in Indian Automotive Industries,” Indian Journal of Science and Technology, vol. 9, no. 1, pp. 1-9, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Paloma Lanza-León, Lidia Sanchez-Ruiz, and David Cantarero-Prieto, “Kanban System Applications in Healthcare Services: A Literature Review,” The International Journal of Health Planning and Management, vol. 36, no. 6, pp. 2062-2078, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Méndez Giraldo et al., “Methodology for Forecasting Demand in Multi-Product and High Variability Environments,” Tecnura, vol. 18, no. 40, pp. 89-102, 2014.
[Google Scholar] [Publisher Link]
[28] Jaime Antero Arango Marin, Jaime Alberto Giraldo Garcia, and Omar Danilo Castrillón Gómez, “Inventory and Buy Management From Holt-Winters Forecasting and Service Level Discrimination by ABC Classification,” Science and Technology, vol. 18, no. 4, pp. 743-747, 2013.
[Google Scholar] [Publisher Link]
[29] S. Nallusamy, “Performance Measurement on Inventory Management and Logistics through Various Forecasting Techniques,” International Journal of Performability Engineering, vol. 17, no. 2, pp. 216-228, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Rajkumar Sharma et al., “Analysis of Modified Time Series Prediction Techniques: A Case Study with Bakery Industry,” IOP Conference Series: Materials Science and Engineering, International Conference on Futuristic and Sustainable Aspects in Engineering and Technology (FSAET 2020), Mathura, India, vol. 1116, pp. 1-7, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Tiago M. Fernández-Caramés et al., “Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain-Based System for Inventory and Traceability Applications in Big Data-Driven Supply Chain Management,” Sensors, vol. 19, no. 10, pp. 1-31, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Duy Nguyen Duc, Thong Tran Huu, and Narameth Nananukul, “A Dynamic Route-Planning System Based on Industry 4.0 Technology,” Algorithms, vol. 13, no. 12, pp. 1-17, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Yericho Paul, and Yuliani Dwi Lestari, “Managing Stock in Warehouse: A Case Study of a Retail Industry in Jakarta,” Journal of Business and Management, vol. 4, no. 7, pp. 830-843, 2015.
[Google Scholar]
[34] Matthias Gareis et al., “Stocktaking Robots, Automatic Inventory, and 3D Product Maps: The Smart Warehouse Enabled by UHF-RFID Synthetic Aperture Localization Techniques,” IEEE Microwave Magazine, vol. 22, no. 3, pp. 57-68, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[35] M.G. Matsebatlela, and K. Mpofu, “Inventory Management Framework to Minimize Supply and Demand Mismatch on a Manufacturing Organization,” IFAC-PapersOnLine, vol. 48, no. 3, pp. 260-265, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Bruce L. Darling, and Tim R.V. Davis, “Super Bakery Inc.: Innovating in a Mature Market is Not Just a Piece of Cake,” Planning Review, vol. 22, no. 1, pp. 8-17, 1994.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Carlos Malca-Ramirez et al., “Replenishment System Using Inventory Models with Continuous Review and Quantitative Forecasting to Reduce Stock-Outs in a Commercial Company,” Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems, Modena, Italy, pp. 683-689, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[38] V. Saravanan, S. Nallusamy, and K. Balaji, “Lead Time Reduction through Execution of Lean Tool for Productivity Enhancement in Small Scale Industries,” International Journal of Engineering Research in Africa, vol. 34, pp. 116-127, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[39] Luis Carazas et al., “Management Model Logistic for the Use of Planning and Inventory Tools in a Selling Company of the Automotive Sector in Peru,” Advances in Manufacturing, Production Management and Process Control, Advances in Intelligent Systems and Computing, vol. 971, pp. 299-309, 2019.
[CrossRef] [Google Scholar] [Publisher Link]