Greeners: Journal of Green Engineering for Sustainability

Redesign of Material Storage Warehouse Layout Using Shared Storage Method (Case Study: Chemical Warehouse)

2025-04-25T13:53:23+00:00

The research was conducted in a material storage warehouse where some items were placed outside the warehouse due to space limitations. Storing items outside the warehouse can lead to a decline in product quality and financial losses. Therefore, this study aims to redesign the warehouse layout using Shared Storage method to optimize storage capacity. By analyzing storage needs and capacity, this research seeks to develop a new layout to enhance warehouse storage capacity. This study employs a quantitative approach, collecting data on material demand frequency, the existing warehouse layout, and the number of materials. Calculations were performed to determine the required aisle width and the total storage area needed for each type of material, considering forklift usage and pallet dimensions. The research findings indicate that the proposed warehouse layout increases storage capacity from 810 pallets to 1,298 pallets, representing a 60.25% increase. This improvement not only addresses space constraints but also contributes to better product management. The study provides practical implications for warehouse managers looking to implement space-saving strategies and improve operational efficiency. The Shared Storage method has proven to be a viable solution for warehouses facing similar challenges in maximizing storage space.

Modification of Striper Plate Tooling on Cross Pieces Cut Machine Block to Extend Die Plate Service Life

2025-04-25T07:20:13+00:00

Part stamping is a result of a production process called sheet metal forming, which is needed to produce the press part sheet metal plate or sheet , pressing dies as molds and pressing machines to produce it. This study aims to extend the use of masa stiper plate die plate by modifying the engine block cross pieces cutusing analysis response surfaces methodology ( RSM ) in the data analysis to optimize the value of the, punch and air pressure ( pressure) , modifications done on the tooling plate striper at block cutting machines cross pieces cut, from the modifications made previously discarded die platecan be reused in the production process without, opservasi of data processing with application minitab 16 , there is no influence between the mass use of the die plate against three fariasi parameters used. The modification process performed at striper tooling plate is on the right side of the bottom with a width of 26 mm and a gradual depth of 0.5 mm - 1.5 mm, modified subsequently assembled and used on the observations taken on the production line next if the value obtained using the program minitab 16, from the data obtained is used to find the optimum value on an analysis of response surfaces.

The Best Time Series Model For Elotex Demand Forecasting

2025-04-30T03:51:58+00:00

Inventory management is carried out to ensure the accuracy of raw material stock in the warehouse. In a chemical raw material distribution company, stockpiling or shortages of raw materials often occur due to fluctuating customer demand. The company is at risk of indirect losses if the product is not sold immediately or if it becomes unavailable. When products are not sold promptly, there is a potential loss due to the limited shelf life of the goods. On the other hand, when products are not available, the company risks losing its customers. The objective of this study is to design a time series model to predict the quantity of chemical raw materials by comparing the accuracy of the Moving Average, ARIMA, and ARMA models. The comparison results will be based on historical demand data for one of the company's products. The product selected in this study is the chemical raw material Elotex, which has the highest demand. The sample data used spans from 2015 to 2023 in daily units. The selection of the best method in this study is determined by considering the model with the lowest RMSE (Root Mean Square Error) value. The research results show that the RMSE value for the Moving Average (MA) model is 3052.7560, the ARIMA model is 4247.9554, and the ARMA model is 4241.8059. Thus, the Moving Average (MA) model, having the lowest RMSE value, is the most accurate model for forecasting the purchase of Elotex chemical raw materials.

Application of Eco-Friendly Activated Carbon from Organic Waste for Polluted River Water Treatment: Kinetic Study and Water Quality Evaluation

2025-04-27T22:16:20+00:00

River water pollution in Cilacap Regency is caused by industrial activities related to oil refining and river crossing traffic, which generate wastewater containing Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), and heavy metals such as lead. This study aims to evaluate the performance of biomass-based activated carbon—derived from coconut fronds and laban wood sawdust—in river water purification through physicochemical characterization and adsorption kinetics approaches. The activated carbon was characterized according to the Indonesian National Standard (SNI) 06-3730-1995, and its surface area was analyzed using the Brunauer–Emmett–Teller (BET) method. Characterization results for AC-PK 1(100) showed a moisture content of 0.1085%, ash content of 3.05%, iodine adsorption capacity of 571 mg/g, and a surface area of 110.595 m²/g. The adsorption process after 15 minutes demonstrated that the activated carbon was effective in reducing water quality parameters, with the pH reaching neutral (7) and TSS decreasing to 212 mg/L, meeting Class III standards based on Government Regulation No. 82 of 2001. However, the TDS value of 4690 mg/L did not meet the quality standard. Kinetic studies indicated that the first-order reaction model best described the adsorption mechanism, with R² values approaching 1. The adsorption rate constants were 0.0041 min⁻¹ for TSS and 0.0686 min⁻¹ for TDS. These findings suggest the potential application of biomass waste as a raw material for activated carbon in environmentally friendly river water purification technologies.

Increasing Production Productivity at UMKM Kaca Berkah using the OMAX Method

2025-05-07T01:44:31+00:00

UMKM Kaca Berkah found a decrease between the monthly target and output, in the measurement period from October 2020 to March 2021 UMKM Kaca Berkah targeted 4 buffet units per day, but in reality only got 2 to 3 units per day and only 1 month was on target. The productivity index in October 2020 was 14.8%, in November 2020 was 33.3%, in December 2020 was 33.3%, in January 2021 was 18.5%, in February 2021 was 7.4% and in March 2021 was 33.3%. It is necessary to find solutions to increase productivity in UMKM Kaca Berkah especially in their production sector. These obstacles are overcome by knowing the level of productivity which is equipped with data on the manpower ratio and machine working hours ratio. Then the data is analyzed and processed with the method that will be used, Objective Matrix Method (OMAX) by weighting to obtain the total productivity, the Fishbone Method to analyze the causes of the problems obtained and the 5W+1H Method to find solutions that will then be suggested to handle problems. After making improvements in April 2021 and May 2021, the productivity index in April reached 100% and in May also reached 100%.