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All Journal Jurnal Ekonomi dan Bisnis Spektrum Industri
Sihotang, Farida
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Increasing Production Machine Capacity In Food Product Msmes Using A Linear Proramming Approach Sihotang, Farida
JUEB : Jurnal Ekonomi dan Bisnis Vol. 4 No. 2 (2025): JUEB: Jurnal Ekonomi dan Bisnis
Publisher : Yayasan Jompa Research and Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57218/jueb.v4i2.1833

Abstract

This study aims to optimize production capacity in a small and medium-sized enterprise (SME) that produces three types of meatballs: beef meatballs, chicken meatballs, and fish meatballs, by considering both cost aspects and demand fulfillment. A mathematical model was developed to minimize total costs, including operational costs, machinery costs, capacity expansion costs, loss costs, and outsourcing costs. Decision variables include the optimal quantity of demand fulfilled, , actual cycle time, the total number of machines operated, and the number of additional machines required. The optimization results show an objective function value of IDR 89,065,838, achieved through selective machine additions and the use of overtime during peak periods. Chicken meatball production exhibited a steady increase without requiring overtime, while beef and fish meatballs required overtime in certain periods. Sensitivity analysis indicates that normal operational costs are the most influential factor affecting total costs, followed by machinery costs and overtime costs. These findings emphasize the importance of proper capacity planning, cost control, and efficient production scheduling strategies to ensure sustainable demand fulfillment.
Cost Optimization for Logistics Services: A Simulation Approach to Delivery Alternatives Sihotang, Farida
Spektrum Industri Vol. 22 No. 2 (2024): Spektrum Industri - October 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v22i2.195

Abstract

An essential activity in the delivery of goods by logistics service companies is how to deliver goods to consumers according to the agreed time with minimal costs. A case study was conducted on one of the logistics service companies in Bandung, which has an exciting feature: promising goods to consumers within 24 hours. The interesting thing about this company is that it uses the rest of the luggage of travelers traveling to the destination city by plane. In existing conditions, problems often arise, namely, goods do not reach customers according to the agreed time. This causes losses to the company because it must pay a late penalty. Therefore, the author designed several alternatives to meet freight forwarding in less than 24 hours. This study aims to optimize the cost of shipping goods from various alternatives by considering the delivery time of less than 24 hours. This study uses an experimental method with a system model to conduct simulations. Parameters use primary data from the company and secondary data from websites. The author designed two alternatives to shipping goods if no match was found with the traveler. The first alternative is to use air cargo at Bandung Airport. The second alternative is that if it is predicted that the goods will not reach the customer within 24 hours through Bandung Airport, they will be sent to Soekarno Hatta Airport Jakarta using a truck. A match with the traveler at the airport will be sought. The second alternative is also considered if there is no match with the traveler, then the delivery of goods uses air cargo. The simulation results provide a total cost for alternatives 1 and 2 of IDR 69,779,084.40/month and IDR 107,025,296, respectively, for goods that do not meet the delivery of less than 24 hours for alternative 1, namely nine items/month or 1% of the total shipment and alternative 2, namely 19 goods or 2% of the total delivery. The simulation in this study resulted in choosing the first alternative as the best alternative with the lowest cost.
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