Study of Inventory Management of Raw Material Using Wagner-Within Algorithm


  • Defi Norita University of Mercu Buana, Indonesia



Inventory, Deterministic Models, Algorithms Wagner-Within


The rapid development of science and technology is increasingly sophisticated, making every company should have a business strategy while upholding the quality of the product and optimize all its resources in accordance with the development of ABC global PT era is a company engaged in the pharmaceutical industry, specifically customer health products. Argon gas availability VGL becomes important to support the activities of laboratory testing. Inventory planning is needed so that appropriate testing needs by calculating safety stock and delivery lead time.  This study uses the Wagner-Within algorithm calculation and also estimation of total costs.

This method was chosen as the optimum method to solve the problems of argon gas inventory VGL deterministic dynamic. This method is used to determine the amount of argon gas stocks are bought and stored VGL right, at the right time, and frequency of ordering, as well as the total cost of inventory. In this study, the calculation of total variable costs, the total minimum cost, and lays out the lot size and calculate the total cost of inventory Algorithms Wagner-Within and Economic Order Quantity. The total cost of inventory Wagner-Within algorithm for Rp691.500.000. This cost is obtained from the calculation of the total cost per period based upon the lot size and the time of reservation obtained from the Wagner-Within algorithm calculation, while the total cost of inventory EOQ Rp.694.875 million.


Assauri, S. 2008. Production and Operations Management. Revised Edition. Jakarta: Issuing Faculty of Economics, University of Indonesia.

Happy, SN 2006. Inventory System. Bandung: ITB Publishers

Basuki. Booking 2016. Lot Size Optimization Economical on Dynamic Deterministic Demand Wagner Within Algorithm Using [Journal]. Bekasi (ID): Palm Citra Widya Polytechnic Education. Vol.5 (1) Page 29-34

Chandradevi, A., & Puspitasari, NB, 2016. Application of Material Requirement Planning (MRP) with Consider Lot Sizing in Raw Material Control at PT. Phapros, Tbk.PERFORMANCE: Media Scientific Industrial Engineering, Vol 15 (1) Page 77-86

Gaspersz, V. 2004. Production Planning and Inventory Control (PPIC) Pendekan Based Integrated Systems MRP II and JIT Manufakturig 21. Towards Jakarta: Gramedia Utama

Gitosudarmo, I. 2002. 4. Financial Management Edition Yogyakarta: BPFE

Haming, M and N. 2014. Mahfud Modern Production Management: Manufacturing and Service Operations Book 2. Jakarta: Earth Literacy.

Heizer, J., & Render, B. 2010. Operation Management (7th ed). Jakarta: Four Salemba.

Kumar, R. 2016. Economic Order Quantity (EOQ) model.Global Journal of finance and economic managementVol 5 (1), 1-5.

Lutfi, W., Santoso, EB, & Paramita, PD 2018. Analysis of Raw Material Inventory Control Method Using Economic Order Quantity (EOQ) To Achieve Smooth Production (Case Study at CV. Cynthia Holy Box). Journal Of Accounting 2018, Page 1-.10

Lwiki, Timothy. et al. 2013. The Impact of Inventory Management Practices on Financial Performance of Sugar Manufacturing Firms in Kenya. International Journal of Business, Humanities and Technology Vol.3 (5). It 75-85

Mazdeh, MM, Emadikhiav, M., & Parsa, I. 2015. A heuristic to solve the dynamic lot sizing problem with supplier selection and quantity Discounts. Computers & Industrial Engineering, Vol 85, Page 33-43.

Nasution, Arman H., & Yudha P. 2008. Production Control Planning. First Edition. Yogyakarta: Graha Science

Pardede, PM 2007. Operations and Production Management: Theory, Models and Policy. Revised Edition. Yogyakarta: Andi

Poirier, L., Nelson, J., Leong, D., Berhane, L., Hajdu, P., & Lopez-Linares, F. 2016. Application of ICP-MS and ICP-OES on the determination of nickel, vanadium , iron, and calcium in petroleum crude oils via direct dilution. Energy & Fuels, 30 (5), Page 3783-3790.

Ramadhanti, LC, & Ariyanti S. 2017. Analysis of Material Requirements Planning Study J100 Bold & Nuts At PT. Pertamina Hulu Energi ONWJ. SURE: Mercu Buana Engineering Journal, Vol 11.(3), Page 283-299

Rangkuti, F., 2004. Inventory Management Applications in the Business Sector. Jakarta: Erland.

Rahim, T., & Saroso, DS 2017 Booking Quantity Economical Analysis and Production Systems at Process Timely Care Heavy Equipment PT. Harita Nickel.Synergy: Journal of Engineering Mercu Buana, Vol 21 (2), Page 129-140.

Ristono, A. 2013. Inventory Management. Yogyakarta: Graha Science

Shen, H., Deng, Q., Lao, R., & Wu, S. 2016. A case study of inventory management in a manufacturing company in China.Nang Yan Business JournalVol 5 (1), Page 20-40

Selih, VS, Sala, M., & Drgan, V. 2014. Multi-element analysis of wines by ICP-MS and ICP-OES and their classification According to geographical origin in Chemistry, 153, Page 414-423.


How to Cite

Defi Norita. (2022). Study of Inventory Management of Raw Material Using Wagner-Within Algorithm . International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) DOI: 10.31695/IJERAT, 8(2), 21–27.