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An Inventory Model for Deteriorated Item with Time- and Inventory-dependent Demand and Backorder Dharma Lesmono; Taufik Limansyah; Ignatius A. Sandy
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4609

Abstract

The paper focuses on developing an inventory model for deteriorated item when demand is time- and inventorydependent. Deteriorated items can usually be found in items such as vegetables, fruit, milk, chemical product, pharmaceutical and it needs special attention in managing this kind of inventory. We model the inventory control for these items by a mathematical model involving time- and inventory-dependent demand and considering the backorder policy in handling shortages. The developed model aims to find the optimal time between replenishment and when inventory drops to zero, which minimizes the total inventory cost. The total inventory cost consists of the purchase cost, the order cost, the holding cost, and the shortage cost. Sensitivity analysis is performed to analyse the effect of changing the parameters’ values to the time between replenishment, when inventory drops to zero, the order quantity, and the total inventory cost. The finding shows that changing the parameters’ values of deterioration rate, demand, unit holding cost, unit holding cost and unit shortage cost will have an impact on the time between replenishment, time when inventory drops to zero, order quantity, and inventory cost.
Pemberdayaan Masyarakat Perdesaan melalui Penguatan Badan Usaha Milik Desa (BUMDes) untuk Pembangunan Sosial Ekonomi Berkelanjutan: Studi Kasus Desa Mekarsari, Kabupaten Garut Gandhi Pawitan; Dharma Lesmono; Kinley Aritonang; Mumsikah Choyri Diyanah
Society Vol 13 No 1 (2025): Society
Publisher : Laboratorium Rekayasa Sosial, Jurusan Sosiologi, FISIP Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/society.v13i1.797

Abstract

Strengthening Village-Owned Enterprises (BUMDes) is crucial for reducing economic disparities in rural areas and promoting sustainable community development. While previous studies have primarily focused on financial structures and regulatory frameworks, this research adopts a participatory approach that actively engages local stakeholders in capacity-building efforts. Using BUMDes Mekarsari in Garut Regency as a case study, the study examines how participatory strengthening programs enhance the socio-economic resilience of rural communities. Employing qualitative methods—including in-depth interviews and field observations—it identifies key factors influencing BUMDes effectiveness, such as continuous training, institutional collaboration, and improved access to finance. The findings reveal that a participatory model not only fosters community engagement but also improves business sustainability and expands economic opportunities. In particular, the involvement of women and local artisans demonstrates the program’s inclusivity and potential for social transformation. Moreover, the integration of digital marketing strategies has opened new market access, further supporting rural entrepreneurship. To maximize practical impact, the study offers concrete policy recommendations, including strengthening institutional support for BUMDes, fostering multi-sector partnerships, and enhancing financial accessibility through local and national policies. These insights contribute to a more inclusive framework for rural economic empowerment, providing policymakers with a strategic foundation for designing community-driven BUMDes programs that ensure their long-term success as catalysts for local development.
Penentuan Waktu antar Pemesanan Optimal untuk Model Persediaan Probabilistik Multi-Item dengan All-Units Discount dan Kendala Kapasitas Gudang Handi Koswara; Dharma Lesmono
Performa: Media Ilmiah Teknik Industri Vol 17, No 1 (2018): PERFORMA Vol. 17, No 1 Maret 2018
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (401.673 KB) | DOI: 10.20961/performa.17.1.17504

Abstract

A good inventory management becomes crucial for a company since it is related to some inventory costs. In managing inventory, in general we need to determine the optimal order quantity and the optimal time to order. In some cases, when supplier offers discount, a company tends to accept this offer although it needs to consider its storage capacity. In this paper, we develop a multi-item probabilistic inventory model with all-units discount and storage space restriction. We employed the Kuhn-Tucker Conditions to find the optimal order policy. From the numerical experiments, we found that when the storage capacity increases then the optimal time to order and the optimal quantity increase but the total cost decreases.