Claim Missing Document
Check
Articles

Found 14 Documents
Search

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.
Analytical Study of Trends in Measuring Sustainability Performance and Indexes Harpito Jasri; Insannul Kamil; Dicky Fatrias; Feri Afrinaldi; Alexie Herryandie B.A
JTI: Jurnal Teknik Industri Vol 10 No 2 (2024): December 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v10i2.33779

Abstract

Sustainability was a crucial underpinning for addressing and mitigating the impacts of climate change. It was not only considered a moral responsibility but also a key element in building a sustainable future. The measurement of sustainability index and performance played a very important role in various sectors because it provided an objective basis for evaluating the economic, social, and environmental impacts of a company or organization's activities. Various sectors needed to play a key role through the implementation of integrated sustainability activities, including efforts to reduce pollution, utilize resources efficiently, increase engagement with communities as stakeholders, and ensure sustainable economic progress. This study aimed to explore and analyze the trend of measuring sustainability index and performance that were developing from various relevant literature through a systematic literature review. The method used in this study was a systematic literature review by adopting the PRISMA-P stages. The PICOS Framework was used in compiling inclusion and exclusion criteria. The PRISMA-P 2020 protocol was employed in the screening process, and VOSviewer was used in the bibliometric analysis. Based on the analysis, it was concluded that research related to sustainability in the higher education and construction project sectors was important to explore further. The most popular method used was the mixed method, while observation and questionnaires were the most widely used data collection methods.Keywords: sustainability, index measurement, performance measurement, systematic literature review. 
Environmental and Socio-Economic Impacts of Crude Palm Oil and Kernel Production Dian Kristina; Feri Afrinaldi; Nilda Tri Putri
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 3 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i3.480

Abstract

Palm oil had become one of Indonesia’s leading commodities, contributing significantly to national economic development; however, it faced sustainability challenges, particularly concerning greenhouse gas (GHG) emissions in line with international standards. This study examined the measurement of environmental impact per monetary unit of Crude Palm Oil (CPO) and kernel production in Palm Oil Mill X, by integrating environmental and socio-economic impacts through Eco-efficiency Analysis. The environmental impact assessment was conducted using the Life Cycle Assessment (LCA) method, while the socio-economic impact values were measured using the Economic Input-Output (EIO) method. The data used in this study consisted of primary data and secondary data. Primary data were collected directly from Palm Oil Mill X, including information on production volumes, energy consumption and waste generation. Secondary data were obtained from published literature, government reports and national statistical database to complement and validate the primary data used in the analysis. The study evaluated eleven environmental impact categories, one of which was GWP. The research findings indicated that for a functional unit of 1 ton of CPO, the GWP was measured at 556.31 kg CO₂ eq/ton CPO, with approximately 80% of the GWP originating from CPO processing and wastewater (POME). In terms of socio-economic aspects, the wage multiplier was recorded at 0.930 and the tax contribution at 0.0698, demonstrating the significant contribution of the palm oil industry to labor income. The final economic contribution value (G⁺) was noted to be Rp 23,728,407/ton CPO. The results of the Eco-efficiency Analysis revealed that the GWP per Rupiah was 2.34 × 10⁻⁵ kg CO₂ eq/Rp, indicating opportunities for emission reduction through the use of cleaner energy. This study provided a quantitative overview of the interrelationship between environmental performance and socio-economic benefits, serving as a strategic reference for enhancing the sustainability of the palm oil industry.
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