Optimal Inventory Control Policy for Consumer Products of Modern Retails by using MUSIC–3D Technique
Keywords:
Multi-inventory Classification, Inventory Control Policy, Modern Retail Business, MUSIC-3D Technique, ABC–XYZ–FSN Classification TechniquesAbstract
Background and Objectives: Modern retail business operates in a highly competitive environment. Therefore, if a business is not prepared to manage its inventory, it may result in either insufficient products to meet customer demands or an excess of available products. This research aimed to classify types of inventory and propose inventory control policy guidelines using the MUSIC-3D technique.
Methodology: Data from a case study dealing with consumer goods were collected over a 12-month period (from January to December 2022), covering 154 items. The data consisted of product codes, product details, quantity of items ordered, price per unit and lead time.
Main Results: ASZ product group, which consisted of six items, involves high-value products, which are difficult to obtain or have lead time of longer than 15 days, and exhibits the most uncertain demands. The proposed policy emphasizes the importance of forecasting to ensure that the stock quantity or order volume aligns with customer demands. For BSZ, BDZ and BEZ product groups, which included 14, 8, and 2 items, respectively, these are medium-value products with varying lead time, some exceeding 15 days and others not longer than 7 days. The proposed policy suggests periodic order planning in combination with appropriate forecasting techniques for each product as well as continuous demand analysis and careful review of supplier terms. The Min-Max ordering technique is recommended to prevent opportunity costs. Lastly, for the CSY, CSZ, CDY, CDZ, CEX, CEY and CEZ product groups, which included 1, 3, 3, 23, 51, 9, and 34 items, respectively, these are low-value products with varying lead time and inconsistent customer demands. The policy recommendations include ordering fixed quantities and maintaining low inventory levels, advance order planning and using Visual Check and Two Bin systems for inventory management. These measures should be tailored to specific items.
Conclusions: The MUSIC-3D technique can categorize products and establish suitable inventory control policies for consumer goods in modern retail businesses into 11 groups, with 11 corresponding approaches. This technique can help reduce holding costs, opportunity costs in sales and aids in efficiently managing stock throughout the supply chain. Additionally, it enhances inventory management standards and aligns order planning with both continuous and discontinuous demands.
Practical Application: The MUSIC–3D technique is a method that allows for the analysis of product categorization in three dimensions using a single technique, enabling interested parties to quickly analyze and manage inventory more efficiently. Moreover, this technique can be combined with various product categorization techniques, such as ABC-VEN-FSN or ABC-FSN-XYZ techniques, to further reduce inventory costs, including holding costs, ordering costs and opportunity costs from sales. It can be applied across retail, wholesale, logistics and manufacturing industries due to its versatility in analyzing different types of products with both certain and uncertain demands.
References
Phansangwan, P., Suthikarnnarunai, N. and Janpong, S., 2021, “Inventory Management Efficiency Improvement: A Case Study of Retail Company,” Journal of Nakhonratchasima College (Humanities and Social Sciences), 15 (3), pp. 391-405. (In Thai)
Muskan, A. and Yash, K., 2021, “Selective Inventory Control,” International Journal of Advance Research and Innovative Ideas in Education, 7 (1), pp. 337-344.
Pandya, S.N. and Darshak, A.D., 2019, “Inventory Categorization Techniques for Effective Inventory Management,” Journal of Emerging Technologies and Innovative Research, 6 (1), pp. 689-700.
Kumar, A. and Shukla, A.C., 2022, “Selective Inventory Control Using ABC and FSN Analysis in Retail Sector: A Case Study,” International Journal for Research in Applied Science & Engineering Technology, 10 (V), pp. 4810-4818.
Majumdar, D., 2022, “Application of Selective Control Techniques in Maintenance Shop,” International Journal of Research in Engineering and Science, 10 (2), pp. 22-26.
Devarajan, D. and Jayamohan, M.S., 2016, “Stock control in a chemical firm: combined FSN and XYZ analysis,” Procedia Technology, 24 (2016), pp. 562 – 567.
Sharda, S. and Gorana, V.K., 2016, “Framework for Spare Parts Inventory Cost Optimization and Adequacy in Stock Control Management using Technique of Multi Unit Selective Inventory Control: Perspective to Downstream Plants of Petroleum Industry,” International Journal of Science Technology and Management, 5 (4), pp. 143-153.
Girija, V.R. and Bhat, M.S., 2013, “Multi Unit Selective Inventory Control- A Three Dimensional Approach (MUSIC-3D),” CVR Journal of Science and Technology, 5, pp. 98-104.
Ni’mah, Z. and Farida, Y., 2019, “Multi-Unit Spares Inventory Control–Three dimensional (MUSIC 3D) Approach to Inventory Control,” Jurnal Matematika MANTIK, 5 (1), pp.19-27.
Praveen, M. P. Simha, Jay. B. and Venkataram, R., 2016, “Techniques for Inventory Classification: A Review,” International Journal for Research in Applied Science & Engineering Technology, 4 (X), pp. 508-518.
Sanjeevy, C. and Ciby, T., 2014, “Use and Application of Selective Inventory Control Techniques of Spares for a Chemical Processing Plant,” International Journal of Engineering Research & Technology, 3 (10), pp. 301-306.
Ngamsuk, P., 2019, “Analysis the Causes of Shortage and Ways to Reduce the Shortage of Equipment Marketing Department XXX Co.,Ltd.,” The 14th UTCC National Graduate Research Conference 2019, University of the Thai Chamber of Commerce, pp. 1243-1252. (In Thai)
Mor, S.R., Bhardwaj, A., Kharka, V. and Kharub, M., 2021, “Spare Parts Inventory Management in The Warehouse: A Lean Approach,” International Journal of Industrial Engineering & Production Research, 32 (2), pp. 1-11, DOI: 10.22068/ijiepr.32.2.1
Phalika, K. and Suwannasap, N., 2016, “Inventory Management by Applying the Theory of ABC Classification Analysis, EOQ Model Techniques and Silver-Method: A Case Study of XYZ,” Phranakhon Rajabhat Research Journal (Humanities and Social Sciences), 11 (1), pp. 102-114. (In Thai)
Jadhav, P. and Jaybhaye, M., 2020, “A Manufacturing Industry Case Study: ABC and HML Analysis for Inventory Management,” International Journal of Research in Engineering, Science and Management, 3 (9), pp. 146-149.
Hukum, R. and Shrouty, V. A., 2019, “The Study of various Tools and Techniques of Inventory Management and Experiment with use of ABC Analysis,” International Research Journal of Engineering and Technology, 6 (4), pp. 350-356.
Jobiry, T., Abuye, H., Jemal, A. and Gudeta, T., 2023, “Evaluation of Pharmaceuticals Inventory Management in Selected Health Facilities of West Arsi Zone, Oromia, Ethiopia,” Integrated Pharmacy Research and Practice, 10, pp. 1–11.
Ratchinda, N. and Wonginta, T., 2022, “Increasing Efficiency of Inventory Management: A Case Study of Air Conditioner Manufacturers,” Journal of Humanities and Social Sciences, Rajapruk University, 8 (3), pp. 34-49. (In Thai)
Sideh, N., Srisawat, K., Kadmanee, P., Wangbenmad, C. and Kodcharat, Y., 2023, “The Study on Inventory Management: Case study of ABC Shop,” The 14th Hatyai National and International Conference, Hatyai University, pp. 2073 – 2084. (in Thai)
Imarah, T.S. and Jaelani, R., 2020, “ABC analysis, Forecasting and Economic Order Quantity (EOQ) Implementation to Improve Smooth Operation Process,” Dinasti International Journal of Education Management and Social Science, 1 (3), pp. 319-325.
Romadhon, N.I., Sukarno, I. and Lusiani, M., 2022, “Analysis Inventory of Consumable Goods using Min-Max Method at Universitas Pertamina,” Journal of Emerging Supply Chain, Clean Energy, and Process Engineering, 1 (1), pp. 55-62.
Trubchenko, T.G., Kiseleva, E.S., Loshchilova, M.A., Dreval, A.N., Ryzhakina, T.G. and Shaftelskaya, N. V., 2020, “Application of ABC and XYZ Analysis to Inventory Optimization at a Commercial Enterprise,” XVII International Conference of Students and Young Scientists "Prospects of Fundamental Sciences Development, SHS Web of Conferences, 80 (01007).
Apsalons, R. and Gromov, G., 2017, “Using the Min/Max Method for Replenishment of Picking Locations,” Transport and Telecommunication, 18 (1), pp. 79–87.
Mehrotra, S., Basukala, S., Kapoor, P., Kant, S., Ranyal, R.K., Yadav, P., Varshney, S., Patnaik, S.K. and Singh, M.M., 2015, “Application of 3D Music inventory control technique for the controlled drugs in intensive care unit of a Tertiary Care Hospital,” International Journal of Research Foundation of Hospital & Healthcare Administration, 3 (1), pp. 5-9.
Singh, A., Rasania, S.K. and Barua, K., 2022, “Inventory control: Its principles and application,” Indian Journal of Community Health, 34 (1), pp. 14-19.
Jain, P. and Mishra, T., 2021, “Implementation of Inventory Management Technique in Manufacturing Industry,” International Journal of Science, Engineering and Technology, 9 (4), pp. 1-4.
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