Amount Of Raw Materials Research Articles

Robust Adaptive Control System of Variable Sampling Period for Cement Raw Mix Quality Control

The advanced quality control of the raw mix remains a priority for the cement industry, particularly in recent years, where large quantities of alternative fuels and raw materials are used in clinker production, aiming to reduce the CO2 footprint. This study presents an adaptive control system with a variable sampling period for regulating raw mix quality in the raw mill (RM) output in a process with four independent inputs and four outputs: the lime saturation factor (LSF), silica modulus (SM), alumina modulus (AM), and SO3. The three pillars of the system are (1) mill dynamics calculation using exclusively industrial data, (2) the design of the controllers to meet robustness criteria, and (3) performance enhancement through simulators. Our technique periodically adjusts the gains of the controllers based on the mill’s dynamic parameters, which are computed from raw mix laboratory analyses. The presented results correspond to more than 14,000 h of mill operation. The standard deviation of the LSF at the mill outlet ranged from 1.5 to 3, which is equivalent to 1 to 2 standard deviations of LSF reproducibility. The standard deviation of the other moduli was close to the corresponding reproducibility of each. The presented adaptive gain-scheduling controller for LSF can be applicable to a broad range of raw meal grinding systems.

A New Framework for Food Catering Price Determination

This article aims to propose a reasonable quantitative (mathematical) expressions for the price calculation of food-manufacturing products. Little research has been conducted on the validity of food product pricing; thus we have identified a need for a thorough, systematic investigation in this area. The suggested three methods are also applicable for developing the artificial intelligence system to solve raw food material (resources) quantity management and other inventory issues in collaboration with the food suppliers. We consider the option of an appropriate pricing strategy in the profit-making catering and other food production firms to be a relevant scientific issue, which we have have addressed and proposed solutions for in this article. By analyzing different scientific assumptions and attitudes, informed quantitative decisions were made. We also developed and described quantitative expressions for determining the price of food products using mathematical formulas. Also, we found that a simple three-digit rule, based on logic and proportional modeling of actions, as the main instrument is the most effective approach for formulating these pricing models. Original and innovative mathematical methods for the price accounting of food production have been created and explained. We have also explained how each of the three suggested methods works, along with their advantages and disadvantages in certain situations. Using these recommended methods of pricing will allow food companies to achieve more appropriate commercial results and to make less expenditure for decisions regarding the pricing of food products. In the article, we explained how to calculate the prices of food and catering companies using simple math. The application of any of the three mentioned techniques regarding existing circumstance will enable food production companies to ensure a straightforward yet accurate determination of the product price that aligns with the current situation.

Phenological Monitoring of Irrigated Sugarcane Using Google Earth Engine, Time Series, and TIMESAT in the Brazilian Semi-arid

Monitoring sugarcane phenology is essential since the globalized market requires reliable information on the quantity of raw materials for the industrial production of sugar and alcohol. In this context, the general objective of this study was to evaluate the phenological seasonality of the sugarcane varieties SP 79-1011 and VAP 90-212 observed from the NDVI time series over 19 years (2001–2020) from global databases. In addition, this research had the following specific objectives: (i) to estimate phenological parameters (Start of Season (SOS), End of Season (EOS), Length of Season (LOS), and Peak of Season (POS)) using TIMESAT software in version 3.3 applied to the NDVI time series over 19 years; (ii) to characterize the land use and land cover obtained from the MapBiomas project; (iii) to analyze rainfall variability; and (iv) to validate the sugarcane harvest date (SP 79-1011). This study was carried out in sugarcane growing areas in Juazeiro, Bahia, Brazil. The results showed that the NDVI time series did not follow the rainfall in the region. The sugarcane areas advanced over the savanna formation (Caatinga), reducing them to remnants along the irrigation channels. The comparison of the observed harvest dates of the SP 79-1011 variety to the values estimated with the TIMESAT software showed an excellent fit of 0.99. The mean absolute error in estimating the sugarcane harvest date was approximately ten days, with a performance index of 0.99 and a correlation coefficient of 0.99, significant at a 5% confidence level. The TIMESAT software was able to estimate the phenological parameters of sugarcane using MODIS sensor images processed on the Google Earth Engine platform during the evaluated period (2001 to 2020).

Proses Negosiasi Antara UMKM A.M Tahu Dan Pemasok Bahan Baku Produksi

SME’s are an industry that play an important role in the Indonesia’s economic development. A.M Tahu as one of SME’s have problems in fulfilling raw materials. The existence of special orders and moral hazard from suppliers were often obstacles in the production process so that A.M. Tahu is needed to make a negotiation process to get affordable prices, good quality, and flexibility in the quantity of raw materials with a limited choice of suppliers. The negotiation process certainly does not immediately reach the desired agreement, but efforts need to be made to convince both parties. The research aims to determine the negotiation process that occurs between A.M Tahu and raw material suppliers in reaching agreements. The types of data used in this study are primary and secondary data using AHP (Analysis Hierarchy Process) analysis methods and qualitative descriptive. The results showed that the negotiation process for A.M Tahu has several stages in reaching an agreement between the two parties, including starting from preparation, meetings, offers, and finally agreements. A.M Tahu gets a more convenient raw material price of Rp3,000 per kilo than the price should be, soybean quantity flexibility, and good quality assurance of soybean grain raw materials. A.M Tahu is also prioritized to choose suppliers who are outside the sub-district, and make raw material variables the main thing to consider in supplier selection.

Advanced Predictive Modeling of Concrete Compressive Strength and Slump Characteristics: A Comparative Evaluation of BPNN, SVM, and RF Models Optimized via PSO

This study presents the development of predictive models for concrete performance, specifically targeting the compressive strength and slump value, utilizing the quantities of individual raw materials in the concrete mix design as input variables. Three distinct machine learning approaches—Backpropagation Neural Network (BPNN), Support Vector Machine (SVM), and Random Forest (RF)—were employed to establish the prediction models independently. In the model construction process, the Particle Swarm Optimization (PSO) algorithm was integrated with cross-validation to fine-tune the hyperparameters of each model, ensuring optimal performance. Following the completion of training and modeling, a comprehensive comparison of the predictive accuracy among the three models was conducted, with the aim of selecting the most suitable model for incorporation into an optimized objective function. The findings reveal that among the chosen machine learning techniques, BPNN exhibited superior predictive capabilities for the compressive strength of concrete. Specifically, in the validation set, BPNN achieved a high correlation coefficient (R) of 0.9531 between the predicted and actual outputs, accompanied by a low Root Mean Square Error (RMSE) of 4.2568 and a Mean Absolute Error (MAE) of 2.6627, indicating a precise and reliable prediction. Conversely, for the prediction of the concrete slump value, RF outperformed the other two models, demonstrating a correlation coefficient (R) of 0.8986, an RMSE of 9.4906, and an MAE of 5.5034 in the validation set. This underscores the effectiveness of RF in capturing the complexity and variability inherent in slump behavior. Overall, this research highlights the potential of integrating advanced machine learning algorithms with optimization techniques for enhancing the accuracy and efficiency of concrete performance predictions. The identified optimal models, BPNN for compressive strength and RF for slump, can serve as valuable tools for engineers and researchers in the field of construction materials, facilitating the design of concrete mixes tailored to specific performance requirements.

Life cycle assessment of Al-Cu-Ag-Si recycling process from photovoltaic waste

As raw materials become increasingly scarce, it is important to efficiently recycle PV panels to recover the highest quantity and quality of secondary raw materials. This study evaluates the environmental impact and the related benefits of an innovative process for c-Si PV panels recycling, which permits to recover most of the raw materials contained in them. Life Cycle Assessment analysis was carried out with “grave-to-cradle” perspective. Inventory was supported by data from a pilot plant located in Venice (Italy). ReCiPe 2016 method was used for the impact assessment. The results showed that environmental benefits are due to the recovery of aluminium, copper, silicon, silver and glass. Normalization of impact assessment results demonstrates main relevant impact categories of this process, and gravity analysis underlines what steps in the recycling process mainly contribute to the environmental benefits. Sensitivity analysis showed that quality of recovered materials influences the environmental profile of recycling process.

Optimizing Raw Material Inventory Control with Continuous and Periodic Review

PT XYZ is a company that operates in the field of plywood processing with various variations that produce products every day. Plywood or plywood is the product with the most demand every month. This company experiences problems, namely ordering raw materials that are uncertain, ordering raw materials because of probabilistic demand with an uncertain period and the quantity of raw materials that does not match the needs used in the production process, so that it often experiences overstock and stockouts. This research aims to control the optimal supply of sengon wood at PT. XYZ by comparing the company's method with the continuous review (Q) back order method and the periodic review (P) back order method to obtain the minimum total inventory costs. Based on calculations using the company method, the total inventory cost is IDR 32,502,564,700 and the minimum total inventory cost is obtained using the continuous review (Q) back order method of IDR IDR 28,829,527,844. The forecasted demand for sengon wood from May 2024 to April 2025 is 42,109 m3. The company made a total order of 944 m3 and a reorder point of 146 m3, so the total inventory cost generated was IDR 36,151,230,302.

Lucky strike: testing the utility of manganese dioxide powder in Neandertal percussive fire making

Late Middle Palaeolithic Neandertals in France are known to have engaged in the collection and grinding of black minerals rich in manganese dioxide (MnO2), generally presumed for symbolic use as powdered pigments. However, lab-based experiments conducted by Heyes and colleagues (Sci Rep 6: 22159, 2016) have shown that the addition of powdered MnO2 to wood turnings both reduces the temperature required for combustion by ca. 80–180 °C and significantly increases the rate of combustion. This special pyrotechnic property of powdered MnO2 may have been observed and leveraged by Neandertals to aid in fire making—a technology known to Neandertals in this region by at least 50,000 years ago. To test this idea, a series of actualistic fire-making experiments were performed to determine the practical applicability of MnO2 as a tinder-enhancing additive. The flint-and-pyrite percussive fire-making method was employed to produce sparks that were directed onto eight different types of tinder common to temperate Northwest Europe to determine if and to what degree the addition of MnO2 powder improved their ability to capture sparks that then propagate into glowing embers. The results show that MnO2 does indeed considerably improve the ignition efficiency of tinder material over untreated tinder, both in terms of the point of first ignition and the total number of ignitions achieved. It was observed, however, that the incidental addition of pyrite dust onto a tinder over the course of an experiment also appeared to improve its ability to capture sparks. Supplemental experiments using tinder pre-mixed with powdered pyrite confirmed this hypothesis, suggesting pyrite powder similarly expedites fire production. While this finding may raise questions regarding the need for collecting MnO2 for this purpose, its potential utility may lie in (1) its relative softness compared to pyrite, making it much easier to grind or scrape into powder, and (2) the greater potential for MnO2-bearing deposits to yield larger quantities of usable raw material compared to pyrite-bearing outcrops, making it relatively more abundant in some areas. Thus, when available, it is clear that adding MnO2 to tinder would have noticeably reduced the time and energy required to produce fire, making it a potentially novel Neandertal innovation complementary to the fire-making process.

Compound criticality of bauxite production: implications for sustainability and trade neo-colonialism

We describe bauxite as having compound criticality. (1) It is a critical raw material (CRM) from which alumina and thereby aluminium are produced, and aluminium has the highest production levels of all metals deemed significant to the Clean Energy Transition. (2) Gallium is a by-product CRM, extracted during alumina refining. (3) Multiple other CRM by-products could be extracted during alumina refining: scandium, lithium, cobalt, titanium and REE. (4) Production is profoundly influenced by price inelasticity (for by-products), regime instability of bauxite production and supply chain bottlenecks. We review the geology of bauxite ore deposits as a function of complex CRM supply potential, and interrogate the trait of criticality using four of the world's dominant producer nations of bauxite and potential patterns of value addition from raw materials to refined products. Trade agreements and mitigation strategies to ensure security of supply in consumer regions prioritize removal of low-cost bauxite by large-scale mining operations and shipping of unprocessed ore at high CO 2 footprint from producer nations. Ore-refining nations have investments that are deemed extractive because they remove large quantities of raw material for export with minimal or no in-country processing and they can also place producer nations in debt. Opposition to neo-colonial debt-trap policies and extractive practices increases regime instability and thereby criticality. We highlight how societal-environmental-political interactions and the mineral-energy nexus in the bauxite-aluminium supply chain are subject to increasing turbulence, which may reshape the geographies of supply chains.

The White Glaze of Delft Blue: A Comparative Study of Historical Recipes for the White Tin Glaze Used in Delftware and Other Dutch Tin-glazed Earthenware During Their Heyday (c. 1600–1800)

ABSTRACT This research intends to enhance our understanding of the tin-glaze technology employed in seventeenth- and eighteenth-century Delftware and other tin-glazed earthenware in the Netherlands. The study provides a detailed description of the raw materials utilised in Dutch tin glazes and offers a schematic overview of the production process. Additionally, 39 dated historical recipes for tin glazes are used to compare and interpret changes in the quantities of raw materials within a temporal context. Weight percentages of raw materials – estimated for the final glaze – reveal significant changes over time. The study shows that changes over time mirror the rise and decline of the Dutch tin-glazed earthenware industry, reflecting economic shifts. Most tin - the costliest glaze material – was utilised between c. 1680 and c. 1720, and the highest glaze qualities were reported during this period, marking the peak of the Dutch earthenware production. Towards the end of the heyday, a decrease in tin usage coincides with mentions of lower glaze qualities. The superior glaze quality of Delftware tin glazes compared to tin-glazes of other tin-glazed earthenware in the Netherlands could not be traced back to specific formulations. Other factors, such as the quality of raw materials, likely contributed to the perceived visual superiority.

Pengaruh Rasio Keuangan Terhadap Pertumbuhan Laba dengan Ukuran Perusahaan sebagai Variabel Moderasi di BEI

The purpose of this study is to investigate and demonstrate how the non-cyclical consumer sector companies listed on the Indonesia stock exchange in 2021–2022 are affected in terms of profit growth by the current ratio, debt to equity ratio, total assets turnover, net profit margin, and return on assets. Additionally, investigate and assess how Company Size affects the relationship between Profit Growth and Current Ratio, Debt to Equity Ratio, Total Asset Turnover, Net Profit Margin, and Return on Assets in Indonesian Non-Cyclic Consumer Sector Businesses. Exchange of Stocks during 2021–2022. The population of this study comprises 113 non-cyclical consumer sector companies listed on the Indonesia Stock Exchange for the 2021–2022 period, out of a sample of 95 companies. If a year of observation is added, there are 190 specimens total. Purposive sampling was the method of sampling that was employed in this study. Model feasibility tests, internal model tests, and external model tests are the analyses that are employed. According to the study's findings, profit growth is unaffected by the current ratio, debt to equity ratio, net profit margin, and return on assets. Profit growth is influenced by the quantity of raw materials used. Furthermore, a company's size has no bearing on the debt to equity ratio, return on assets with profit growth, net profit margin, total asset turnover, or current ratio.

An integrated optimization model for procurement and production lot sizing and scheduling problems

Abstract Lot sizing is a prevalent issue within manufacturing companies, where determining the optimal procurement and production lot sizes is crucial for maximizing profits. This problem has become more complex, given that numerous suppliers can provide the same raw materials with different prices and quantity discount schemes. A company should also determine optimal carriers to deliver materials to the company’s warehouse. In a manufacturing process, the company should determine the optimal production lot size and its schedules. In this paper, a model was developed to solve simultaneously procurement and production lot sizing, as well as production scheduling problems. The model encompasses multiple suppliers offering quantity discounts, aiming to maximize company profit by accounting for various costs, including procurement, production, inventory, and quality costs. A case study is taken from a company producing noodles and its related derivative products to illustrate the application of the model. Based on the optimization results, the company obtained a total profit of IDR. 14,656,550,000 or $950,921.30 (the exchange rate of $1 at IDR. 15,413). The sensitivity analysis results show that the objective function is sensitive to changes in the purchase cost, sale revenue, and discount rate parameters. The decision variables for accepted product demand, product quantity, and the starting and completion time of product family are only sensitive to changes in certain parameters. Meanwhile, the decision variables for product inventory, product backlog, raw material inventory, and purchased raw material quantity are sensitive to the changes in all the analyzed parameters.

Trade-off between drag and catch performance when designing zooplankton trawls

The aquaculture sector is in pursuit of sustainable and cost-effective raw materials for feed, and the copepod Calanus finmarchicus is a marine zooplankton species of commercial interest because of its high abundance in northern areas. These copepods have the potential to meet the demand for vast quantities of marine raw materials. However, the lack of an energy- and catch-efficient trawl technology has limited the development of this fishery. Therefore, this study investigated the effect of two central trawl net design parameters mesh size and taper angle to identify which values that provide optimal trade-off balance between gear drag and catch efficiency. We conducted flume tank experiments using a series of plankton nets varying in mesh size (250–1000 μm), solidity ratio (0.54–0.76), and taper angle (5°– 30°) to acquire data on gear drag. The same nets were then used in fishing trials to obtain data on their catch performance. This study shows that zooplankton nets with a mesh size of approximately 500 μm and a low taper angle of about 5° provided the best trade-off between drag and catch performance.

CGeotechnical Influence of Waste Materials in Road Construction

Abstract: A shortage of construction materials and the subsequent rise in their rates has lead to an increase in the cost of road construction in many folds. The shortage of construction material is across the country due to a ban on mining and scarcity of open land for borrows areas. On the other hand, construction of flexible pavement demands enormous quantities of raw materials including soils.

Co-processing of end-of-life wind turbine blades in portland cement production

The objective of this paper is to evaluate the feasibility of co-processing wind turbine blade (WTB) material in cement manufacturing to provide an end-of-life means to divert the solid waste of decommissioned WTBs from landfills. Many WTBs consist primarily of glass fiber reinforced thermoset polymers that are difficult to recover or recycle. Portland cement is produced world-wide in large quantities, requiring immense quantities of raw materials (mostly calcium oxide and silicon oxide) and kiln temperatures approaching 1,450 °C. This work contributes analyses of WTB material composition, and predicts the energy provided through the combustible components of the WTBs and raw material contributions provided by incorporating the incombustible components of the WTBs to produce cement. Approximately 40 to 50 % of the WTB material will contribute as fuel to cement production, and approximately 50 to 60 % of the WTB material is expected to be incombustible. One tonne of WTB material can displace approximately 0.4 to 0.5 tonne of coal, while also contributing approximately 0.1 tonne of calcium oxide and 0.3 tonne of silicon oxide as raw material to the cement production process. The glass fiber WTB tested had an average boron content of 4.5 % in the ash. The effects of this high boron content on the cement and its production process should be evaluated. Co-processing WTBs in cement plants will slightly reduce combustion-related CO2 emissions due to avoided calcination. It seems feasible to co-process glass-fiber reinforced WTBs in cement production as WTBs provide suitable raw materials and compatible fuel for this process.

Resources and Outcomes of Industrial Development Support in Bac Giang Province, Vietnam

The present study utilized data sets from the Ministry of Industry and Trade, the Department of Industry and Trade of Bac Giang province, and primary data from 118 enterprises. The correlation analysis of key indicators in analyzing resources and outcomes of industrial development support in Bac Giang province revealed that both domestic and foreign suppliers play a significant role in supporting industrial development. The market is a crucial factor influencing decisions regarding the quantity of raw materials used. Support enterprises in Bac Giang mainly cater to the domestic market, accounting for 37%, which is double the export proportion. Analysis of the results supporting industrial production reflects a high annual growth rate of 25% in the overall industrial sector and specific areas.

Environmental, economic, and social impacts of sugar cane bagasse and eggshell wastes for soil stabilization.

Sustainability is a core topic for all sectors including geotechnical engineering (e.g., design of foundations, earthworks structures, and pavements for major infrastructure and building projects). Despite being comprised of environmental, economic, and social pillars, most sustainability studies in this area have focused on the first. Furthermore, social impacts and the three pillars integration are little explored. As a result, there is a lack of systemic and holistic assessments of innovative geotechnical alternatives. This research advances in this area by performing a complete sustainability assessment and integration of the environmental, economic, and social pillars of two expansive soil stabilization alternatives: (i) sugar cane bagasse ash combined with hydrated eggshell lime alkali-activated by sodium hydroxide (NaOH) and (ii) Portland cement. Individual analyses were carried out to determine the environmental, economic, and social impacts, and the single sustainability index. Alkali-activated binder dosages showed higher impacts in 4 out of 10 environmental categories. For both binders, high-density/low-binder dosages contributed to environmental and economic sustainability as they require lower quantities of raw materials and diesel for materials transportation. The total costs of alkali-activated binder dosages ($189.79 and $154.45) were higher than that of Portland cement ($72.49 and $54.04), mainly due to the high cost of NaOH acquisition. However, the alkali-activated binder dosages implied lower carbon dioxide (CO2) emissions and thus lower social cost of CO2. The alternative binder presented a higher positive social impact. The alkali-activated high-density/low binder dosage is the most sustainable soil stabilization strategy.

Analisis Dampak Industri Semen Menggunakan Metode Life Cycle Assessment (LCA) Pada PT. Semen Z

Semen Z is one of the largest cement supplier companies in Indonesia and will continue to increase every year. The development of the cement industry is in line with the continued development of infrastructure projects, both private and Indonesian government. PT. Semen Z has good integration from raw material providers to cement that is ready to be used by every project that requires it. Development of PT. Cement Z will occur in the quantity of raw materials, human resources, and production processes, up to distribution to consumers. The activities carried out are land clearing/stripping, blasting, excavation and loading, as well as transportation and destruction. Raw materials sourced from this mining process include limestone, silica stone and clay. In this study mining was only carried out on limestone and clay was obtained from suppliers. The units used in the inventory data are limestone and clay raw materials (tons), ammonium nitrate chemicals (tons), diesel fuel (liters), electricity (kWh), emissions (tons), B3 waste (tons), non-B3 waste (tons) and products (tons). Every activity process carried out will have an impact on the environment, so the Company's commitment to a green industry or clean industry is required. To determine the environmental impact analysis on cement production activities, the Company conducted an environmental impact analysis using the Life Cycle Assessment (LCA) method. The aim of this research is to identify improvements in environmental performance, especially those that are hotspots in the Company's production process. The research results show that the highest identification of environmental impacts is obtained from activities at the Limestone mine, in accordance with the Pareto rules approach where if the contributors are more than 80% of the food it will affect the results of the impact analysis obtained.

Aspects and optimization of the mixture for high performance concrete

High-performance concrete is currently receiving a lot of attention in research due to its properties and wide range of uses. This paper is focused on HPC, where the optimization of the mixture is specifically addressed regarding the technological solution of construction. The first reference variant uses an approach that is suitable for processing at a concrete plant. An alternative solution is intended for the processing of dry concrete mixture, which can be bagged and the concrete itself produced at the construction site. The paper deals with the comparison of two HPC based on the same input and quantity of raw materials except for the superplasticizer. The purpose is to determine the HPC behaviour and properties of a reference mixture with conventional liquid superplasticizers and a mixture using powdered superplasticizer. The experimental program includes tests of the mechanical properties of compressive strength and flexural strength, where growth was monitored during the first 28 days, split tensile strength and velocity of ultrasound wave. Attention is also paid to fresh mixture tests. Although in the long term the mechanical properties of tested materials were very similar, the difference was determined during the first few days and weeks of hardening, when in mixture using powdered superplasticizer strength characteristics were increasing noticeably slower than in case of referential mixture.

Performance Evaluation of Raw Material Suppliers at Manufacturing Company Using Analytical Hierarchy Process Method

PT Trafoindo Prima Perkasa is a medium-sized electrical equipment manufacturing company that uses bushings as raw materials for transformers. Therefore, it is important to evaluate bushing suppliers to ensure the appropriate quality and quantity of raw materials. Currently, the company faces issues with delayed raw material deliveries, which disrupt production. The research aims to evaluate the performance of bushing raw material suppliers using the Analytical Hierarchy Process (AHP) method, focusing on price, quality, service, and delivery. The AHP method is employed for multi-criteria decision-making in supplier performance evaluation through questionnaires and analysis using Expert Choice software. The analysis results indicate that price is the primary evaluation criterion with a value of 0.398, and Supplier A demonstrates the best performance with a score of 0.280.