Inventory Control Model of Beef for Rendang Products

Main Article Content

Feby Gusti Dendra
Elita Amrina
Ahmad Syafruddin Indrapriyatna

Keywords

inventory control, inventory model, perishable product, rendang, supply chain management

Abstract

The definition and function of inventory management reveal the importance of modern industry in formulating policies that regulate the supply of raw materials, semi-finished products, and finished products. Unfortunately, most companies fail to consider the characteristics of their raw materials when determining inventory strategies. Raw materials that are perishable are those that consider their service life and storage time. Inventory management plays a crucial role in supply chain management, especially for perishable raw materials, such as food products. PT X, a food business in Padang, experienced difficulty in meeting the demand for rendang products due to a lack of raw materials. Therefore, this study aims to develop an inventory management model that takes into account the perishable raw materials' expiration time. The model development consists of three stages: model development design, inventory model formulation, and model testing. The proposed model resulted in a storage time interval of five days and an optimal order quantity of 34 kg of meat with a safety stock of 14 kg. Implementing this model led to lower total inventory costs for PT X than the actual conditions of the company. The total inventory cost obtained using this model is Rp279,797,822. This study emphasizes the importance of considering the characteristics of raw materials in determining inventory strategies to optimize inventory management effectively and efficiently. The study's findings can serve as a reference for other food businesses encountering similar inventory management challenges in the perishable food industry.

References

[1] A. Kaleel Ahmed, C. B. Senthilkumar, and S. Nallusamy, “Study on environmental impact through analysis of big data for sustainable and green supply chain management,” Int. J. Mech. Prod. Eng. Res. Dev., vol. 8, no. 1, pp. 1245–1254, 2018, doi: 10.24247/ijmperdfeb2018145.
[2] D. Atnafu and A. Balda, “The impact of inventory management practice on firms’ competitiveness and organizational performance: Empirical evidence from micro and small enterprises in Ethiopia,” Cogent Bus. Manag., vol. 5, no. 1, pp. 1–16, 2018, doi: 10.1080/23311975.2018.1503219.
[3] T. Muhammad Barwa, “Inventory Control as an Effective Decision-Making Model and Implementations for Company’s Growth,” Int. J. Econ. Financ. Manag. Sci., vol. 3, no. 5, p. 465, 2015, doi: 10.11648/j.ijefm.20150305.18.
[4] A. I. Ogbo, O. I. Victoria, and W. I. Ukpere, “The impact of effective inventory control management on organisational performance: A study of 7up bottling company Nile Mile Enugu, Nigeria,” Mediterr. J. Soc. Sci., vol. 5, no. 10 SPEC. ISSUE, pp. 109–118, 2014, doi: 10.5901/mjss.2014.v5n10p109.
[5] W. Muchaendepi, C. Mbohwa, T. Hamandishe, and J. Kanyepe, “Inventory management and performance of SMEs in the manufacturing sector of Harare,” Procedia Manuf., vol. 33, pp. 454–461, 2019, doi: 10.1016/j.promfg.2019.04.056.
[6] M. Attaran, “Digital technology enablers and their implications for supply chain management,” in Supply Chain Forum, 2020, vol. 21, no. 3, pp. 158–172. doi: 10.1080/16258312.2020.1751568.
[7] A. Acevedo-Ojeda, I. Contreras, and M. Chen, “Two-level lot-sizing with raw-material perishability and deterioration,” J. Oper. Res. Soc., vol. 71, no. 3, pp. 417–432, 2020, doi: 10.1080/01605682.2018.1558942.
[8] L. N. K. Duong, L. C. Wood, and W. Y. C. Wang, “A multi-criteria inventory management system for perishable & substitutable products,” Procedia Manuf., vol. 2, pp. 66–76, 2015.
[9] S. Saghiri, E. Aktas, and M. Mohammadipour, “Grocery omnichannel perishable inventories: performance measures and influencing factors,” Int. J. Oper. Prod. Manag., 2023, doi: 10.1108/IJOPM-06-2022-0397.
[10] Y. Yang, H. Chi, W. Zhou, T. Fan, and S. Piramuthu, “Deterioration control decision support for perishable inventory management,” Decis. Support Syst., vol. 134, p. 113308, 2020, doi: 10.1016/j.dss.2020.113308.
[11] D. Weraikat, M. K. Zanjani, and N. Lehoux, “Improving sustainability in a two-level pharmaceutical supply chain through Vendor-Managed Inventory system,” Oper. Res. Heal. Care, vol. 21, pp. 44–55, 2019, doi: 10.1016/j.orhc.2019.04.004.
[12] M. C. Annosi, F. Brunetta, F. Bimbo, and M. Kostoula, “Digitalization within food supply chains to prevent food waste. Drivers, barriers and collaboration practices,” Ind. Mark. Manag., vol. 93, pp. 208–220, 2021, doi: 10.1016/j.indmarman.2021.01.005.
[13] F. Tian, “An agri-food supply chain traceability system for China based on RFID & blockchain technology,” in 2016 13th International Conference on Service Systems and Service Management, ICSSSM 2016, 2016, pp. 1–6. doi: 10.1109/ICSSSM.2016.7538424.
[14] K. Li, J. Y. Lee, and A. Gharehgozli, “Blockchain in food supply chains: a literature review and synthesis analysis of platforms, benefits and challenges,” Int. J. Prod. Res., pp. 1–20, 2021, doi: 10.1080/00207543.2021.1970849.
[15] M. Manzouri, M. N. Ab-Rahman, C. R. C. M. Zain, and E. A. Jamsari, “Increasing production and eliminating waste through lean tools and techniques for Halal food companies,” Sustain., vol. 6, no. 12, pp. 9179–9204, 2014, doi: 10.3390/su6129179.
[16] F. Saleheen, M. H. Miraz, M. M. Habib, and Z. Hanafi, “Challenges of warehouse operations: A case study in retail supermarket,” Int. J. Supply Chain Manag., vol. 3, no. 4, pp. 63–67, 2014.
[17] V. Chaudhary, R. Kulshrestha, and S. Routroy, “State-of-the-art literature review on inventory models for perishable products,” J. Adv. Manag. Res., vol. 15, no. 3, pp. 306–346, 2018, doi: 10.1108/JAMR-09-2017-0091.
[18] K. V. Kotsanopoulos and I. S. Arvanitoyannis, “The Role of Auditing, Food Safety, and Food Quality Standards in the Food Industry: A Review,” Compr. Rev. Food Sci. Food Saf., vol. 16, no. 5, pp. 760–775, 2017, doi: 10.1111/1541-4337.12293.
[19] A. Gordon, “Introduction: Effective implementation of food safety and quality systems: Prerequisites and other considerations,” in Food Safety and Quality Systems in Developing Countries, vol. 2, Elsevier, 2017, pp. 1–19. doi: 10.1016/B978-0-12-801226-0.00001-3.
[20] S. Tavakkoli Moghaddam, M. Javadi, and S. M. Hadji Molana, “A reverse logistics chain mathematical model for a sustainable production system of perishable goods based on demand optimization,” J. Ind. Eng. Int., vol. 15, no. 4, pp. 709–721, 2019, doi: 10.1007/s40092-018-0287-1.
[21] M. Sebatjane and O. Adetunji, “Optimal lot-sizing and shipment decisions in a three-echelon supply chain for growing items with inventory level- and expiration date-dependent demand,” Appl. Math. Model., vol. 90, pp. 1204–1225, 2021, doi: 10.1016/j.apm.2020.10.021.
[22] A. Herbon, E. Levner, and T. C. E. Cheng, “Perishable inventory management with dynamic pricing using time-temperature indicators linked to automatic detecting devices,” Int. J. Prod. Econ., vol. 147, no. PART C, pp. 605–613, 2014, doi: 10.1016/j.ijpe.2013.07.021.
[23] D. A. Gredell et al., “Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data,” Sci. Rep., vol. 9, no. 1, p. 5721, 2019, doi: 10.1038/s41598-019-40927-6.
[24] E. Suryani, R. A. Hendrawan, I. Muhandhis, and L. Puspa Dewi, “Dynamic simulation model of beef supply chain to fulfill national demand,” J. Teknol., vol. 78, no. 9, pp. 169–177, 2016, doi: 10.11113/jt.v78.9609.
[25] H. Prasetyo, M. T. Nugroho, and A. Pujiarti, “Pengembangan Model Persediaan Bahan Baku dengan Mempertimbangkan Waktu Kadaluwarsa dan Faktor Unit Diskon,” J. Ilm. Tek. Ind., vol. 4, no. 3, pp. 115–122, 2006.
[26] S. N. Bahagia, “Sistem Inventori,” Bandung Penerbit ITB, p. 3, 2006.