Company Producing Research Articles

Effects of Mitigating Information about Negative News Using Comparative vs. Selective Processing

Abstract As consumers learn about a company’s actions, information about negative actions could impact customer purchase decisions. Of interest to firms is how customers process this information when making evaluative decisions. Two experiments explore the effect of comparative and selective processing on brand choice when participants are given negative information about company manufacturing practices to test whether the information affected product choice. The results show that participants were less focused on positive aspects of a focal product and less likely to choose it when engaging in comparative processing compared to those engaging in selective processing. Mitigating information about the negative information made participants more likely to choose the firm’s products compared to those that did not receive the mitigating information. These results provide insight as to how companies can communicate to customers to help reduce the negative impact of negative news. Public relations efforts should be designed in a way that encourages consumers to engage in comparative processing.

Management and Disposal of Waste Tires to Develop a Company for the Manufacture of Products Based on Recycled Rubber in Tamaulipas, México

Currently, the disposal of waste tires is considered one of the priority environmental and public health problems worldwide. Every year, more than 1.4 billion unused tires are placed in landfills. Population growth, economic development, and a strong demand for vehicle production in the automotive industry increase this problem. In Mexico, nearly 36 million unused tires are deposited in landfills or clandestine deposits, the vast majority being burned or accumulated in the open air. The lack of regulations in the handling, disposal, and recycling of tires creates a worrying panorama for environmental care and the problems that this entails. The objective of this work is to propose a viable alternative for the final disposal and recycling of waste tires through the implementation of a company for the manufacture of products based on recycled rubber in the state of Tamaulipas, Mexico, reducing environmental pollution by these wastes and generating sources of employment through a sustainable company. For this purpose, a study was carried out in Tamaulipas, Mexico, through surveys to determine the number of tires that can be obtained and determine the feasibility of the business; subsequently, a prediction was made using simulation software to design and estimate the expected production in the manufacture of parking bumpers using two scenarios with two and four workers. Likewise, specialized software was used to optimize waste tire collection routes from the different tire stores to the company’s location. The results show that with an optimal design of the tire collection routes, up to 483 tons of waste tires can be recovered per year, representing 10% of the total unused tires in Tamaulipas. Because it is an environmental and social problem, installing a company manufacturing products based on recycled rubber is feasible and has a high probability of success for the region studied. According to the simulation, employing four workers increases productivity and decreases manufacturing costs. Through the simulation, three tire collection routes were determined considering the total number of tire stores in the city where the company is located.

The Influence of The Logistics Management System on Export Value as An Effort to Maintain Economic Stability in The Facing of a Global Recession

This study explores Indonesia's position as a major global exporter, propelled by diverse creative industries and companies with export-ready, high-quality products. Companies face challenges to innovate, maintain product quality, and enhance competitiveness and efficiency. The research proposes logistics management implementation as a solution, crucial in the company's manufacturing system. The study aims to analyze the impact of implementing a logistics management system on export value to maintain economic stability during global recessions. Using a quantitative descriptive method, data is collected and summarized using SPSS 25 for statistical analysis. Findings indicate the system's effectiveness in enhancing Indonesia's export value, contributing to economic stability amidst global recessions. The study compares the performance of companies implementing logistics management with those that do not, yielding positive conclusions regarding its favorable impact on export performance and overall economic stability within a 5% significance level.

Optimasi Penggunaan Kembali Limbah Karbon Aktif Industri Vetsin Sebagai Biochar Menggunakan Taguchi Orthogonal Array L4

PT XY is a company producing vetsin in the food industry. The company makes extensive use of material resources for its industrial development, which has an impact on the environment. Waste-activated carbon is the result of the color absorption process of the solution. The problem is that the waste generated causes pollution to the company's environment and cannot be stored for long. The average carbon waste generated from January to December 2023 is 86.40 tonnes. Therefore, it is necessary to reuse activated carbon waste into biochar or carbon fertilizer. Processing strategy by conducting experiments using the Taguchi method. Problem identification with an approach that refers to the Responsible Waste Management Hierarchy, and limits the implementation of experiments to the principle of reuse. The Taguchi Orthogonal Array L4 method was chosen for the experimental design because it is more cost-effective than other DOEs and the signal noise is predictable. This research was conducted through experimental methods to know the effect of biochar planting media from activated carbon waste on the growth of kale plants (gr) and get optimal composition variations. As a result, an optimization design was obtained with wet carbon waste material, 25% biochar concentration, and bright light conditions, with an n-gain value of 4.49 resulting in a high improvement category. Comparison of biochar quality with Charcoal Powder from Workplant Store by SNI 06-3730-1995 standard. In biochar products from activated carbon waste, there is a glutamate content of 0.345 g/dL which is a good amino acid for plant growth.

Factors Affecting Fraudulent Financial Statements Using Fraud Triangle Analysis (Study of Manufacturing Companies Listed on the Bursa Efek Indonesia)

This research aims to determine the influence of the fraud triangle on the influence of existence financial statement fraud. The factors in the fraud triangle consist of three indicators these include (1) Preasure is proxied by financial targets (ROA) and financial stability (ACchange), (2) Opportunity is proxied by Nature of Industry (Receivable) and Ineffective Monitoring (IND), (3) Rationalization is proxied by Change in auditor (CiA). There are 5 (five) independent variables that are hypothesized to influence financial statement fraud and The dependent variable fraud (F-score) is used to determine the presence of fraudulent reports finance. This research uses a quantitative approach with a sample consisting of 180 people manufacturing companies listed on the Bursa Efek Indonesiafor the observation period 2019 - 2023 using the purposive sampling method and multiple linear analysis using SPSS software version 16. The research results show that the financial stability variable (ACchange) has a positive effect, Nature of Industry (Receivable) has a negative effect, and Ineffective Monitoring (IND), has an effect negative, towards fraudulent financial statements. Meanwhile, the financial target (ROA) and variables change in auditor (CiA), has no effect on fraudulent financial statements in the company manufacturers listed on the Bursa Efek Indonesia (BEI) for the period 2019 -2023.

Analysis of work productivity and compatibility of excavation-loading equipment and transport equipment in soil salvaging activities at Katala Hill area of PT. Amman

Abstract PT. Amman Mineral Internasional Tbk in Katala Hill, West Nusa Tenggara Province, Indonesia, is an open-pit mining company producing copper as its main commodity, followed by gold and silver. The initial stage of mining involves soil removal in land clearing activities for reclamation, waste disposal areas, and construction of other infrastructure. In soil salvaging activities, it is essential to understand the influential factors to productivity and the match factor in mechanical equipment, including work efficiency, delay time, cycle time, fill factor, and swell factor. The objective of this study is to determine the productivity and match factor values of the digging-loading equipment and transportation equipment in soil salvaging activities in the Katala Hill area. This study applied the descriptive quantitative method, involving direct field observations of the digging-loading and transportation equipment activities and interviews with mining workers. Based on the results, the actual work efficiency of the digging-loading equipment was 59% and the transportation equipment was 76%, the actual productivity of the digging-loading equipment was 825.00Bcm/h, the transportation equipment productivity was 611.17 Bcm/h, and the compatibility factor value is 0.7408. After increasing the work efficiency of the conveyance by 83%, the conveyance productivity was 667.46 Bcm/h with the match factor increasing to 0.8090.

Analyzing the environmental performance of epoxy compositions for cryogenic use: A comparative LCA study

Modern societal functioning is intricately intertwined with the omnipresence of plastics. Within industrial domains, composite materials featuring an epoxy matrix have garnered extensive utilization. However, using such glass fiber-reinforced polymer composites poses many environmental problems due to high energy consumption and pollutant emissions during production. This work focuses on analyzing the environmental impact of newly developed resin compositions that will be applied in cryogenic conditions. Composite materials belong to engineering materials that are continuously evolving. As a result, there are imposed requirements for them to have very precise environmental parameters. It is evident that in the future, manufacturers of composite materials will be required to provide declarations of environmental impact. Currently, there are very few comprehensive environmental analyses of such materials in the scientific literature. Based on the calculation of carbon footprint (CF) emissions, it was found that composites that used resin A are less harmful than compositions with resin B. Recipe 2016 Midpoint (H) LCIA methodologies indicated that resin B production has the most significant adverse environmental impacts - global warming, human toxicity (non-carcinogenic), water consumption and marine aquatic ecotoxicity. It is clear that Resin B has a detrimental impact on the environment. The categories of chemical ingredients, electricity, and heat have increased by 22.34%, 23.36%, and 89.11%, respectively, compared to Resin A. The obtained results were compared with literature data. This work is novel due to the provided environmental data from a company producing composite materials in Poland.

The Product and Process Quality Level Analysis in the Automotive Elements Production Management

Abstract The article presents the results of research carried out in the chosen company producing components for automotive companies. The main objective of the research was to analyze the quality level in the production of assembly parts for the automotive industry with regard to customer requirements, carried out by using the product FMEA and process FMEA methods. The research were conducted based on results of the company quality control and calculations have been conducted with applying Excel program. Results of data analysis presented in the paper indicate the main areas connected with occurrence of nonconformities that affected the final quality of the product. Analysis of research results using the FMEA method allowed to find not only the source of quality problems in the production process. It also allowed us to indicate recommendations for system improvements. The recommended actions not only allow for streamlining the production process, but also affect the quality level of the product at every stage of its production, which can be successfully found in other companies in the automotive industry.

AI-Enhanced Allergy Diagnostics: Streamlining Healthcare and Reducing Costs

Abstract Issue/Problem WHO projects a shortfall of 10 million health workers by 2030. One area particularly lacking technological support is allergy diagnostics. The World Allergy Organization recognizes skin tests as the gold standard for allergy diagnostics, yet these tests are still manually assessed. General practitioners lack the time and tools, leading them to focus on treating the symptoms without addressing the causes. Description of the problem Symptomatic treatment of allergy can lead to the development of asthma in 30-40% of patients, increasing healthcare costs and causing lost productivity. The shortage of allergists further exacerbates this issue in many countries. Results Research conducted by the Military Institute of Medicine in Warsaw, in collaboration with a company producing automated allergy testing systems, explored a solution for allergy diagnostics, analyzing the entire process from the patient’s initial visit to desensitization therapy. The solution uses AI algorithms to reusable existing patient data and analyze patient history, correlate symptoms, medications, and allergen exposure, streamlining diagnostics and treatment. Patients at high risk undergo a computer-assisted interview to determine allergen panels. The only manual step is applying allergens to the skin, after which AI performs the reading and diagnosis. Clinical trials involving around 300 patients demonstrated high sensitivity and specificity, along with significant time savings for allergists and other medical staff, averaging 40 minutes per patient. The HTA evidence base will be ready by the end of this year. Lessons The integration of this AI-supported diagnostic method can eliminate bottlenecks in allergy diagnostics, improving health outcomes and reducing healthcare costs. However, its effectiveness depends on having at least few years of patient treatment data available. Without access to patient data, the method can be used in part to objectify PRICK test readings. Key messages • AI-supported diagnostics streamline allergy testing, reducing time and costs in the healthcare system. • The most accurate technique currently available for the automated reading of test results is that which evaluates the response to an allergen in the dermis in two spectra.

Lean Manufacturing en la producción de alimentos: Revisión sistemática, análisis bibliométrico y propuesta de aplicación

In a changing environment, efficiency and adaptability are essential to improve business competitiveness. The present study analyzed the application of Lean Manufacturing in food production through a review of the scientific literature based in Scopus, using the PRISMA methodology and the Vosviewer and Bibliometrix software. From the bibliometric analysis, there is evidence of an increase in research on Lean Manufacturing in food companies since 2019, with an annual growth rate of 5.96%. Brazil and Peru stand out for their high scientific production, while Brazil and Belgium stand out in terms of citations. In addition, outstanding scientific collaboration between authors from South America and Asia is observed. Three relevant clusters were identified: principles, implementation tools and practical applications of Lean Manufacturing. The thematic mapping highlighted the concepts Cost Reduction, Process Monitoring, Six Sigma and Value Stream Mapping as the most prominent topics underlining the interest and applications in the scientific literature. The implementation of Lean Manufacturing in seven steps is proposed, facilitating the use of agile tools for process optimization and waste reduction in food companies. Lean Manufacturing contributes to improve the flow of products in the supply chain and to the sustainability of small and medium enterprises. Future research should focus on adapting Lean Manufacturing to various contexts and business models in the agri-food sector.

When products speak differently: Designing new languages for established products

Innovating product language has been proven to be an effective measure to change what products mean to customers and create new product categories. However, how to embed a new language into a product characterized by an established design has not been addressed in the past. Thus, we discuss a single case study of Videndum, a company producing premium branded tools and accessories for content creation (i.e., photography supports and accessories) that is redefining their product language and seeking to incorporate new narratives into their existing line‐up of products. Our case study is based on 18 interviews across all levels of the organization, analysis of archival data and observations to explore the actions the company is taking to change product language for their established products. Our findings show that designers can work at the level of the design principles to inform how new meanings can be embedded into signs at the product level, to build a new coherent product language. We identify two layers of design principles, value‐principles and solution‐principles, and show their different impact on product language. By doing so, we contribute to understand how companies design new product languages for established products in practice, providing managers with practical knowledge on how to perform the translation from abstract values to product features.

Study on the Precise Evaluation of Environmental Impacts of Air Pollution in Cold Regions Using the Cost Control Method

Objective: With the acceleration of industrialization, air pollution has become a global environmental issue, particularly in cold regions where the unique climatic and geographical conditions give rise to distinctive types of air pollution and impacts. Considering the economic evaluation of environmental damage is crucial for effective pollution control policies, this study aims to provide a more precise environmental damage assessment method through the Improved Virtual Control Cost Method (IVCCM) to optimize air pollution governance strategies in cold regions. Method: This study utilizes a case study of a major company producing methanol and coal-based natural gas, where the emissions from the boiler exhaust exceeded the prescribed standards for particulate matter, sulfur dioxide, and nitrogen oxides during a specific period. By employing a segmented counting approach that accounts for downtime, precise calculations were conducted for the actual periods of excess emissions. Adjustments were made to the calculation coefficients within the Virtual Control Cost Method to more accurately reflect the ecological damage caused by air pollution. Results: The IVCCM calculations revealed that the total environmental loss caused by the company’s excessive air pollution emissions amounted to USD 1.6844 million, significantly lower than the original calculation method (USD 2.1885 million). Specifically, the environmental losses due to particulate matter, sulfur dioxide, and nitrogen oxides were USD 0.0032 million, USD 0.3600 million, and USD 1.3212 million, respectively. Conclusions: The IVCCM enables a more precise assessment and prediction of ecological environmental damage caused by air pollution in cold regions. Compared to traditional methods, it effectively reduces assessment costs, mitigates disputes arising from unclear parameter values and calculation methods, and facilitates the development of more rational environmental protection policies and measures.

Influence of the Season of Year and Stage of Postharvest Processing on Anthracnose Severity in Bananas in a Savanna Climate in the Brazilian Northeast

ABSTRACTBanana cultivation has great socio‐economic importance in the Cariri region (state of Ceará), Brazil. This study aimed to monitor the severity of anthracnose (caused by Colletotrichum musae) in bananas (cv. Prata) collected at three postharvest processing steps (dehanding, first washing and second washing) in packinghouses of four producing companies (A, B, C and D) in the wet (February–May) and dry (September–December) seasons of production in 2019. Averaged across packing companies and processing stages, disease severity was higher in the wet season (42.4%) than in the dry season (19.6%), but disease variability, expressed by the coefficient of variation, was higher in the dry season. In most cases, there were significant (p ≤ 0.05) differences among processing stages within each packinghouse and season, but the stage with the highest disease severity was not consistent. In other words, there was no predictable change in disease severity from dehanding to first and second washing. It was impossible to identify a single pattern in the severity of anthracnose in banana fruits collected from different companies and stages of postharvest processing, and this may be associated with the management adopted in each production area.

EFFECT OF COMPANY SIZE, FINANCIAL MISTAKES AND CHANGE MANAGEMENT REGARDING AUDITOR SWITCHING

research objectives of this study are, to analyze the influence of company size on auditor switching in food and beverage sub-sector manufacturing companies in 2017-2021. To analyze the influence of Financial Distress on Auditor Switching in Food and Beverage Sub-Sector Manufacturing Companies in 2017-2021. To analyze the effect of Management Changes on Auditor Switching in Food and Beverage Sub-Sector Manufacturing Companies in 2017-2021. The type of research used is quantitative and type research data Which used in study This is data secondary. Population Which used in study This is company manufacturers listed on the Indonesian Stock Exchange (BEI). Sample selection carried out using a purposive sampling method. Data analysis method using analysis statictics descriptive and analysis regression logistics. This research using 110 samples data company. results following, Company size has no effect on auditor switching food and beverage sub-sector manufacturing companies. Financial distress positive and significant effect on auditors switching in food and beverage sub-sector manufacturing companies. Substitution management No influential to auditors switching on food and beverage sub-sector manufacturing companies. Keywords : Switcing Auditor, Company Size, Financial Distress, Change of Management

Implementation of Industrial Accident Prevention Policies Based on an Investigation of Actual Conditions in an Explosives Manufacturing Plant

Abstract In order to establish principles for implementing requirements contained in legal acts regarding methods of preventing serious industrial accidents, a study of the procedures in place at NITROERG SA, a company manufacturing explosives, was conducted. The analysis also included regulations concerning actions to be taken in the event of an accident, aimed at minimizing negative impacts on people and the environment. Legislative solutions imply the necessity for business entities to submit reports to emergency services, while also carrying out a range of activities to counteract threats associated with serious accidents. This article presents how these recommendations are implemented by the company and the methods of obtaining data to improve the undertaken projects. However, incidents in recent years indicate the need for further verification of processes to eliminate risks.

Biochemical and haematological effects of serum PFOA, ADV and cC6O4 in workers of a chemical company producing fluoropolymers, Italy, 2013–2022

Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are widely used in the manufacture of fluoropolymers. We evaluated biochemical and haematological effects of three PFAS, serum perfluorooctanoic acid (PFOA), ADV, and cC6O4 in workers of a fluoropolymer company. Using data (2013-2022), we fitted random intercept regression models adjusted for several covariates and reciprocal adjustment between the three PFAS. We analysed data of 814 workers (698 men, 116 women), 607 from the chemical plant, 207 from the research centre, for a total of 4912 blood samples (2065 with all three PFAS measured). Median levels of PFOA and ADV were 21.3 and 120μg/L. Most (65.5%) cC6O4 measurements were below the limits of quantification (which varied over time from 5 to 0.1μg/L). For PFOA, we observed positive associations with total cholesterol (+1.1% increase per ln(PFOA) increase) and apolipoprotein B (+1.4%) and negative associations with alkaline phosphatase (-1.5%); suggestive associations were also found with RBC (-0.4%), IgA (-1.5%), IgM (-1.4%). ADV was positively associated with total and LDL cholesterol (+1.0% and +1.6% per ln(ADV) increase), apolipoprotein B (+1.0%), GGT (+2.1%), IgM (+1.4%), and WBC (+1.5%) and negatively associated with direct bilirubin (-2.3%) and alpha-2-globulins (-0.7%); suggestive associations were found for indirect bilirubin (-2.0%), oestradiol (-2.1%), ad CRP (+6.0%). For samples with detectable cC6O4 levels we observed higher values of ALP (+2.3%), proteins (+0.5%), IgG (+0.7%) and platelets (+1.6%) and suggestively increased total bilirubin (+3.9%), RBC (+0.6%), and oestradiol (+5.8%). Some associations (total cholesterol, apolipoprotein B, WBC, total bilirubin, and alkaline phosphatase showed reverse time trends in parallel with the strong decrease of serum PFOA and ADV over the study period. We found associations of serum PFOA and ADV with lipid metabolism, liver function, and immunoglobulins. The reverse time trends of some endpoints in parallel with decrease of serum PFOA and ADV reinforce causal interpretation of results. cC6O4 showed a different pattern of associations.

Increasing the Sustainability of the Strategic Development of Oil Producing Companies in Mexico

In the oil industry, there is a gap between the goals of sustainable development, the implementation of oil projects and its specific consequences. Oil projects are implemented in isolation from other variables, have an insufficiently targeted impact on the territory and often have a negative impact on the environment. The purpose of the study is to improve the efficiency of oil producing companies and increase their contribution to the development of the country’s economy as a whole. The methodology used in this article is based on the concept of sustainable development, systemic and integrated approaches, methodology of sub-potentials and modeling of business processes of a circular economy. The results of the study include a methodological approach to the formation of an effective business model for oil companies. We propose this methodological approach to select the projects of oil companies, taking into account economic, environmental and other factors, and the most promising prospects for Mexico. The significance of the study is that the proposed methodology makes it possible to increase the sustainability of the development of oil companies and integrate their business processes into the task of increasing the efficiency of operation and development of the territory. The novelty of the study lies in the application of the concept of sub-potentials and the calculation of critical indicator values for oil producing companies in Mexico to prevent the transition of sub-potentials of functioning and development into sub-potentials of threat and containment during project implementation.

Forecasting livestock feed sales using machine learning techniques: an analysis of the Moroccan market

Agriculture, especially cereals, is important in sustaining economies and food security globally. This study delves into the Moroccan agricultural landscape, specifically focusing on predicting livestock feed sales to assist cereal company producers in optimizing production, streamlining supply chain operations, and enhancing customer satisfaction. Data collected from various markets across Morocco, including sales dates and locations, was combined with climate data and analyzed using advanced machine learning techniques, particularly the gradient boosting regression (GBR) algorithm, which achieved high accuracy with a mean absolute error (MAE) of 0.0203 and a root mean square error (RMSE) of 0.0281. The evaluation of multiple regression models revealed promising results, demonstrating the effectiveness of predictive models in accurately forecasting sales. These findings contribute valuable insights to sales forecasting in the cereal industry by considering weather conditions, production methods, and livestock-related variables, highlighting the importance of leveraging advanced machine learning techniques for optimizing production processes and meeting market demands efficiently in the agribusiness sector.

Analysis of Financial Performance for Rice Producing Companies Listed on the IDX to the Volatility Increase in Rice Prices

Analysis of Financial Performance for Rice Producing Companies Listed on the IDX to the Volatility Increase in Rice Prices

A Framework for Assessing Innovations, Business Models and Sustainability for Software Companies Using Hybrid Multiple-Criteria Decision-Making

The management staff of software companies are constantly looking for ways to build market advantage and win business strategies. Introducing changes in companies is a costly process and carries the risk of poor allocation of resources. This article provides decision-makers with a tool that increases the chance of making the right business decisions and can also be a guide in the transformation of business models. The scientific aim of this article was to simultaneously cover three areas, innovation, business models, and sustainable development, to develop a scheme enabling the construction of rankings of the elements of these areas in a version dedicated to software producing companies. Rankings, which are built using the hybrid Multiple-Criteria Decision-Making (MCDM) method, indicate to decision-makers the need for building strategic development plans, which aspects are the most important, and what the order of possible implementations should be. Based on a multi-criteria analysis, it was found that (i) in terms of innovation, companies should focus their attention first on implementing product, process, and technological innovations; (ii) within innovative business models, attempts should be made to produce IT systems using virtualization and dockerization, as well as efforts should be made to closely bind customers with the offered products and services and offer temporary rental of IT systems instead of classic licenses; and (iii) in the context of the classic three levels of sustainable development, companies should focus primarily on economic and financial issues.