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All Journal G-Tech : Jurnal Teknologi Terapan
Fransiska Hernina Puspitasari
Universitas Atma Jaya Yogyakarta, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Designing A Multi-item Product Inventory Policy to Reduce Stockouts on CV VLJ Fransiska Hernina Puspitasari; V. Reza Bayu Kurniawan; Trisna Yulianti
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4806

Abstract

Managing inventory to be able to meet consumer orders is crucial. However, often the ordered goods are not available because the quantity ordered is less so the inventory in the warehouse is out-of-stock. The determination of the order quantity or period is often only based on intuition. This causes lost sales. CV VLJ experienced a similar thing that caused consumers to buy unavailable items to other stores. Therefore, this study aims to reduce these lost sales and minimize the total inventory costs incurred. The determination of the order quantity or period is calculated using the Q and P models along with the calculation of lost sales and total costs for all SKUs sold. Based on the results of inventory simulations, cost reductions of lost sales of 88-99% and total cost in average of 33% can be achieved compared to the actual condition.
Managing Inventory in Response to Varying Demand at Retail Store X to Reduce Stockouts Devina Kristalia Irawan; Fransiska Hernina Puspitasari; Ika Murti Kristiyani
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.6361

Abstract

Both inventory shortages and excess inventory are among the issues encountered in inventory management. Lost sales are one of the impacts caused by inventory shortages. Retail Store X often experiences lost sales due to inventory shortages, such as cigarettes. Fluctuating demand and supplier terms make it difficult for this store to determine the order quantity sent to the supplier. Therefore, this research aims not only to minimize the number of stockouts but also complying with the supplier's requirement which is often disregarded in other research. The number of cigarettes that must be ordered must meet the minimum purchase under the agreed cooperation contract and the budget of Retail Store X that has been determined. This problem is solved using the periodic review system method, which relies on three parameters for the decision-making. This method calculates the order quantity for 10 cigarette products and then simulates over the next month to determine the number of stockouts that occur. Based on the results, one stockout incident was found for Tawang cigarettes amounting to two packs. Besides, the supplier requirement condition from the second supplier is also met and the purchase budget is fulfilled, which is below Rp450,000.00.
Designing a Product Storage System to Reduce the Number of Damaged and Expired Products at Alfa Omega Twin's Supermarket Angela Reschyta Putri; Fransiska Hernina Puspitasari
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8797

Abstract

Good product storage systems in the warehouse affect product quality. The Alfa Omega Twin supermarket has a problem with damaged and expired products in total 46 units, resulting in a total loss of Rp559,500.00. After observation, the cause was found to be the haphazard placement of products and the absence of storage procedures. Thus, the research aims to reduce the number of damaged and expired products, also total losses. Due to the large number of products, ABC classification was used to categorize them. This classification will be used as the basis for designing a layout using class-based storage. Once the layout created, a storage standards using FIFO equipped with Standard Operating Procedures (SOP) was made. Based on the implementation results, the number of damaged and expired products decreased to nine and the total loss was Rp80,900.00. Employing both strategies through the storage arrangement and procedure, which is the distinction from other research can effectively address the problems. Practical tips on storage system that have been focused on those two strategies will assist a retail manager to keep the warehouse neat dan more organized.
Determination of Inventory Policy to Address Raw Material Shortages Using Lagrange Multiplier and Capacity Restriction at Coffee Shop X Elieolsa Wanmilsen C. Putri; Fransiska Hernina Puspitasari; Ika Murti Kristiyani; V. Reza Bayu Kurniawan
G-Tech: Jurnal Teknologi Terapan Vol 10 No 3 (2026): G-Tech, Vol. 10 No. 3 July 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i3.10460

Abstract

Managing inventory well in a business is extremely important. It is not uncommon that if this is neglected, it will result in lost sales. A coffee shop in Yogyakarta experienced a similar situation. Some coffee menu items have to be unavailable for order due to a shortage of Arabica and Robusta coffee beans. In addition, this café also faces budget constraints for purchasing coffee beans and limited storage space. Therefore, the Lagrange Multiplier method, supplemented with capacity constraints, is used to solve this problem. Based on the calculation results, the optimum order quantity for each type of coffee bean is 3 kg, which does not exceed the maximum storage capacity of 10 kg and is still within the budget of Rp700,000.00. Additionally, reorder point (ROP) and safety stock (SS) calculations were also performed. The SS value was obtained as 0.32 kg (Arabica) and 0.07 kg (Robusta), while the ROP value was obtained as 0.46 kg (Arabica) and 0.13 kg (Robusta). After conducting the inventory simulation, it was found that there were no stockouts of coffee beans, and the inventory costs incurred were Rp3,942,710.55 for Arabica coffee beans and Rp1,097,546.31 for Robusta coffee beans.
Co-Authors Angela Reschyta Putri Devina Kristalia Irawan Elieolsa Wanmilsen C. Putri Ika Murti Kristiyani Trisna Yulianti V. Reza Bayu Kurniawan V. Reza Bayu Kurniawan