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Model Optimasi Perancangan Jaringan Rantai Pasok Biomassa dari Tandan Kosong Kelapa Sawit di Sumatera Barat Imansuri, Febriza; Hadiguna, Rika Ampuh; Afrinaldi, Feri
Jurnal Optimasi Sistem Industri Vol. 18 No. 1 (2019): Published April 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v18.n1.p1-13.2019

Abstract

West Sumatra has great potential in developing biomass based on palm oil waste. This is because the largest plantation production in West Sumatra comes from the oil palm commodity of 1,082,820 tons in 2014. Therefore, it is necessary to design a model of supply chain biomass network for the distribution of Empty Fruit Bunches (EFB) from CPO factory suppliers located in West Sumatra and distributed to Depot Pertamina Teluk Kabung. Stages performed in the implementation of this study began with a preliminary study to determine the potential of biomass in West Sumatra. Furthermore, the design of chain supply chain optimization model by identifying supply chain activity, knowing the characteristics of supply chain system and make the formulation of mathematical model. The design of supply chain biomass from Empty Fruit Bunches (EFB) in West Sumatera, starting from raw material Tandan Kosong Kelapa Sawit (TKKS) sourced from Crude Palm Oil (CPO) factory in West Pasaman Regency and surrounding. This is because Pasaman Barat Regency is the central agroindustry of oil palm plantation which has 17 most palm oil factories in West Sumatra. The potential of bioethanol derived from CPO waste can be done by establishing bioethanol plant located with the same CPO factory so that it is adjacent to the source of the raw material. The result of the mathematical model mixed integer linear programming is placement of bioethanol plant location at PT Pasaman Marama Sejahtera with medium scale and total cost of IDR 251,563,700,000.00.
Maximizing Retreaded Tire Hardness: An Experimental Investigation Putri, Wahyu Handayani; Afrinaldi, Feri; Taufik, Taufik; Fernando, Ramadhan Rizki
METAL: Jurnal Sistem Mekanik dan Termal Vol. 8 No. 2 (2024): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/metal.8.2.39-48.2024

Abstract

Tires are vehicle parts that have a significant economic impact. When the tires reach their end-of-life, they can be retreaded for further use. A company in Padang, Indonesia, manufactures retreaded tires with hardness specifications of at least 61 Shore A. The technology used by the company is the hot cure retreading. Historical data showed that the process produced 7% of defective tires and cost the company $16 per unit of defective tires. It was identified that curing temperature, mold pressure, inner tube pressure, curing time, and fuel type mixed with adhesive affect tires’ hardness. This paper aims to find the best combination of the above parameters so that the hardness of the retreaded tires is maximized. Experiments were performed, and the Taguchi method was employed to design the experiments. Since the experiments have five factors, and each involves two levels, the degree of freedom of the experiments is five. There were three replications for each treatment. Thus, an L8 orthogonal array was selected. The experimental results showed that the best combination of factors is curing temperature at 140 ˚C, mold pressure at 4 bar, inner tube pressure at 8 bar, curing time for 2 hours, and fuel mixed with adhesive was SBP. The above combination was predicted to produce an average hardness of 63.10 Shore A. A confirmation experiment was then performed by applying the above combination of factors, which resulted in an average hardness of 63.15 Shore A and no retreaded tires having hardness below 61 Shore A.
NON-STERILE M HANDSCOONS INVENTORY CONTROL USING MONTE CARLO SIMULATION: A CASE STUDY St. Mega Dzulfahra Manguluang; Feri Afrinaldi
JURNAL REKAYASA SISTEM INDUSTRI Vol 11 No 2 (2026): Mei 2026
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v11i2.11448

Abstract

Non-sterile M Handscoons are medical gloves to protect healthcare professionals from transmitting disease through direct patient contact. The handscoons come in boxes at 100 gloves per box. Among all consumable items stocked by Hospital X, located in Padang, the handscoons consumed the highest inventory costs. This paper aims to determine a better inventory policy for the Non-sterile M Handscoons. Better order quantity and reorder point were determined. Since the demand for the handscoon was probabilistic, the Monte Carlo simulation was used to determine the order quantity and reorder point to maximize service level and reasonable total inventory costs. The algorithm used to execute the simulation was presented and implemented as a spreadsheet-based Monter Carlo simulation. Four scenarios were compared, combining different order quantities and reorder points, including the hospital's current inventory control policy. A procedure with the mean of service level and total cost as the criteria for selecting the best scenario was presented. The Anderson-Darling Goodness-of-Fit test and Least Squares parameter estimation method showed that the monthly demand follows Weibull distribution with an estimated shape parameter  = 5.32 and scale parameter  = 262.06. The monthly demand mean was 242 boxes. Accordingly, using the Central Limit Theorem, the annual demand was approximately normally distributed, with a mean of 2,899 boxes and a standard deviation of about 178 boxes. The simulation results indicated that an inventory policy with an order quantity of 216 boxes and an order interval of 27 days is the most effective. This policy achieved a mean service level of 99.9 percent with an annual inventory cost of Rp179.35 million. In addition, the selected policy was estimated to guarantee a minimum service level of 94.7 percent and achieved a 100 percent service level with approximately 92 percent certainty. Compared with the status quo, adopting this policy increased the service level by approximately 19 percent, accompanied by a proportional increase in annual inventory costs.
Cost of Quality Models in Continuous Production Systems with Deteriorating Quality: A Review and Research Agenda Irna Ekawati; Alizar Hasan; Feri Afrinaldi; Insannul Kamil; Rika Ampuh Hadiguna
Performa: Media Ilmiah Teknik Industri Vol. 25 No. 1 (2026): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.v25i1.2758

Abstract

Cost of Quality (CoQ) is a critical tool in quality management, widely used to identify, evaluate, and optimize quality-related costs. While CoQ models such as the Prevention-Appraisal-Failure (PAF), Activity-Based Costing (ABC), Crosby, Opportunity Cost, and Process Costing have been extensively applied in discrete manufacturing systems, they remain underdeveloped for continuous production systems that exhibit time-dependent quality deterioration. This literature review explores the applicability of existing CoQ models to continuous and deteriorating systems. The analysis reveals that most CoQ models assume static failure behavior and do not accommodate gradual degradation or dynamic input quality. Among the models reviewed, the Opportunity Cost model is found to be the most conceptually aligned with dynamic loss due to declining quality, while ABC can complement it by tracing cost drivers linked to quality-related activities. Furthermore, this study outlines the potential of combining these models into a time-dependent dynamic CoQ framework, integrating deterioration functions and quality thresholds. Such a model could better represent the trade-off between prevention investments and the economic losses due to quality decay. Methodologically, this study employs a systematic literature review and comparative analysis to evaluate and synthesize prior CoQ models. The significance of this research lies in addressing theoretical and practical gaps in CoQ modeling for continuous production, which is increasingly important for industries striving for efficiency, competitiveness, and sustainability. This review ultimately provides a conceptual foundation for developing a mathematically optimized CoQ model for continuous systems, with potential validation through biogas production case studies