Operational Products Research Articles

Concept Attaiment Model Based on Traditional Technology Organizers for Strengthening Global Science Literacy and Creative Character

This study aims to obtain a concept attaiment model based on traditional technology organizers that is feasible, practical, and effective to strengthen global science literacy and creative character. This research uses the Borg and Gall development research model with stages, including: information collection research, planning, initial development, initial testing (initial field testing), main product revision, main testing (main field testing), operational product revision, operational field testing, final product revision, and dissemination. Exploration of traditional technology is carried out to obtain experimental media that will be summarized into organizers for learning media. Hypothetical model validation (FGD-focus group discussion) involves lecturers and education practitioners in West Kalimantan to obtain eligibility. Limited initial field testing with purposive sampling techniques at IKIP PGRI Pontianak with a pre-experimental one group pretest posttest design. Global science literacy is measured using questionnaires. Creative character is measured using scientific creativity tests referencing divergent thinking. The results of the study obtained a concept attaiment model based on traditional technology organizers to strengthen global science literacy and valid creative characters with excellent criteria. The t-test results show that the concept attaiment model based on traditional technology organizers is effective for improving global science literacy and creative character. Students and educators respond well to the application of concept attaiment models based on traditional technology organizers.

Effectiveness Of The Audit Function As An Internal Control Tool

This research aims to determine the effectiveness of the audit function as an internal control tool. Audit as an internal control tool is very important for the efficiency and productivity of company operations. Internal audit is a process in which internal auditors review and assess the internal control systems and procedures used by an organization. Internal audits can assist in carrying out fixed asset acquisition procedures, improve management performance, and help companies maintain internal control. The internal audit function also makes it possible to measure and assess how effective other internal control components are, assisting management in implementing effective internal control. The results of this research are a very important tool for management to ensure that company operations run well and efficiently.

Gap Analysis of the Environmental Management System Performance of PT. XXX to ISO 14001:2015 Standard

PT. XXX is one of the oil and gas exploration companies in Indonesia operating in the Rokan Block of the Duri Steam Flood (DSF) Operation Area. To maintain the level of petroleum production in operation, PT. XXX DSF Operating Area adds oil and gas wells, improves, and improves operation reliability through upgrading several existing facilities; seen from the environmental setting at the current operational location, DSF's operational area activity plan has an impact on environmental components. To mitigate it, PT. XXX has developed an Environmental Management System (EMS) DSF Operating Area according to the international standard ISO 14001:2015. This quantitative descriptive research aims to determine the gap in QMS performance implemented by companies with ISO 14001: 2015 standards using seven clauses: Self-Assessment Checklist Internal Audit ISO 14001: 2015 GEMI 2015. To find out the Company's SML gap score with ISO 14001: 2015 standard is determined by the Gap Analysis method. The gap results from the 7 (seven) clauses analysed to show the readiness score of SML PT. XXX DSF operational to implement ISO 14001:2015 Standard is 98.83% refers to range gap analysis if the score range of 75% - 100% indicates PT. XXX DSF Operations is ready to complement EMS ISO 14001:2015 and carry out certification. The gap score between the Company's Environmental Management System (EMS) that is being implemented and the ISO 14001:2015 standard is 1.17%. The gap in clauses that have not met the requirements of SML ISO 14001: 2015 is Clause Support, which scores 95% and Clause Performance Evaluation, which scores 96%.

Improving efficiency and quality of operational industrial production assets information management in customer–vendor interaction

Industrial assets management has a key role in ensuring continuity of industrial production via purchasing, warehousing and maintenance of devices and spare parts used in manufacturing, but it suffers from data and information accessibility, completeness, consistency, interoperability, and timeliness challenges in the customer - equipment vendors interaction and information sharing. Current practices in devices and spare parts purchasing, warehousing and maintenance include a lot of manual information search, validation and update work done at the manufacturing companies to maintain high quality master data records for the production assets management. This article addresses the challenge of improving efficiency and quality of operational production assets information management in industry customer company interaction with their production equipment vendors, with a design science research approach. The research was executed in collaboration between research organizations, forest industry companies, industrial production equipment vendors and information technology (IT) companies on two parallel and complementary research tracks, which are described with their key research results. The contributions are an ex-ante evaluated digital marketplace concept with preliminary requirements, and an ex-post evaluated semi-automated master data harmonization tool, as artefacts for improving efficiency and quality of production assets information management in industrial customer–vendors interaction. As theoretical contribution, the article provides a synthesis of the research results in the framework of information systems (IS) design theory as a nascent and novel design theory on designing IS artifacts for improving efficiency and quality of production assets information management, both in single industrial customer company and ecosystem settings. The contributions provide a starting point for further research and development of a digital marketplace for improving production assets information management in industrial customers – vendors interaction, potentially also applicable for similar ecosystems in other continuous production process -based manufacturing industries.

POGIL Learning Model—Metaphorming for Mobile-Based Cryptography Creation

The cryptography course has a mathematical basis and involves programming algorithms in the creation process while the implementation utilizes a programming language. Cryptography has been widely implemented in everyday life. However, the interest and learning outcomes of students in cryptography courses have not met expectations. Processoriented guided inquiry learning (POGIL) models integrated with metaphor. The POGIL metaphorming model is a student-centered learning model directed at active and creative thinking processes. One of the important processes in this stage is to develop a preliminary form of the product, conduct preliminary field testing, make the main product revision, conduct the main field testing, and perform operational product revisions. Based on the findings from the initial stage, an integrated learning model was developed for the cryptography course. Data for the model validation stage included model books, textbooks, lecturer’s guides, and student guides, calculated using content and construct validation techniques. Analysis of validity test data involves calculating the average score of all validator answers using Aiken’s coefficient v. The study results indicated that the model learning POGIL metaphorming is validly designed to enhance student learning processes and outcomes in cryptography courses.

Timber Harvesting Economics in Early Commercial Thinning and Group Selection Prescriptions

Forest management decisions that consider both short- and long-term objectives are becoming more challenging and costly, due to market uncertainty, labor shortages, and the evolving forest industry. Under such unpredictable circumstances, a better understanding of the production economics of various silvicultural prescriptions is crucial in implementing sound forest management activities. The objectives of this study were to: a) estimate stump to landing productivity and cost for Early Commercial Thinning (ECT) and Group Selection (GS) prescriptions; and b) compare the harvest system cost ($/PMH) using machine rate and PATH (Planning and Analysis in Timber Harvesting) methods. Detailed time-motion studies were conducted in the spruce-fir forest of Northern Maine, USA, during the summer of 2019. The results, as expected, indicated the harvesting costs were 23% higher for ECT (21.08 $/m3) compared to GS (16.32 $/m3). The average productivity of the harvester and forwarder were reduced by 15 and 37%, respectively, for ECT compared to GS. The estimated harvesting system cost ($/PMH) was 4% higher as indicated by PATH compared to machine rate method. Higher operational productivity in GS can be attributed to the larger volume of logs, and shorter travel loaded distance than ECT. These findings can help forest managers make more informed decisions while implementing appropriate silvicultural prescriptions under varying conditions based on management objectives and market conditions.

Research on dust control technology and numerical simulation of conical guiding air curtain in fully mechanized excavation face

The dust pollution caused by the operation of fully mechanized heading face poses a serious threat to the safety production of operators and working face. To reduce dust concentration at the fully mechanized heading face, this study analyzed dust samples collected from various positions to understand the particle size distribution characteristics. Based on these findings, a conical diversion air conditioning (CDAC) device was designed to create a radial air curtain for dust control in the roadway cross-section. Computational Fluid Dynamics (CFD) was then employed to investigate the airflow and particle dynamics when the cone-shaped deflector was in closed and open states. The results show that in the fully mechanized heading face, the dust distribution in the working area of the roadheader driver is relatively dense, and the dust particles with particle size ≤ 8 μm account for a large proportion. When the CDAC device is deployed, the axial airflow in the roadway is changed into a rotating airflow along the roadway wall, and an air screen is established in the working area of the roadheader driver to block the outward diffusion of dust. When the pressure air outlet is arranged 30 m away from the tunneling head, the pressure air volume is set to 400 m3/min, and the CDAC device can better form the air curtain barrier to block the dust particles. It provides a new method for effectively controlling the dust concentration of the fully mechanized heading face and directly ensuring the health of the roadheader driver.

REAL ESTATE LEAD TRACKER & PLOT BOOKING SOFTWARE

Abstract – The Real Estate Lead Tracker & Plot Booking Software represents a transformative tool aimed at revolutionizing real estate operations by integrating innovative technologies to streamline lead management and plot booking processes. This research paper presents a comprehensive overview of the software, outlining its functionalities, features, and impact on the real estate industry. The scope of experiments encompasses the design, development, implementation, and evaluation of the software across various real estate agencies and developers. Significant data include user feedback, performance metrics, and market analysis, which provide insights into the software’s effectiveness in enhancing sales efficiency, customer engagement, and operational productivity. Major findings indicate that the software has led to significant improvements in lead conversion rates, customer satisfaction levels, and overall sales performance. The conclusions drawn from the research underscore the transformative potential of the Real Estate Lead Tracker & Plot Booking Software in driving innovation and efficiency in the real estate industry, paving the way for enhanced customer experiences and increased business success. Keywords:– Real Estate, Lead Management , Plot Booking, Image classification, CRM

Crop Monitoring and Smart Farming Through Mobile App

This study presents the development and implementation of a mobile application aimed at revolutionizing crop monitoring and smart farming practices. The application integrates advanced technologies such as remote sensing and the Internet of Things (IoT) and provides real-time data analysis and decision-making support for farmers. By leveraging the ubiquity and accessibility of mobile devices, this solution enables farmers to remotely monitor crop health, soil conditions, and environmental parameters. Through intuitive interfaces and data visualization tools, the application empowers farmers to make informed decisions, optimize resource utilization, and enhance productivity in agricultural operations. This research highlights the potential of mobile technology to drive innovation and sustainability in modern farming practices.

Extension Experts‘ Intentions to use Precision Agricultural Technologies, a Test with the Technology Acceptance Model

Abstract Precision agriculture (PA) is a farm management strategy that relies on various technologies to improve the productivity and sustainability of farming operations. The adoption of PA entails on-farm and off-farm benefits; however, the adoption rates remain low in Iran. Using the socio-psychological framework of the technology acceptance model (TAM), this study examined agricultural extension experts‘ intentions to use precision agricultural technologies (PATs) in Ardabil province, Iran. Structural equation modelling (SEM-PLS) was used to map the components of the TAM (perceived usefulness, perceived ease of use, and attitudes toward PATs). All the components of the TAM showed a significant effect on experts‘ intentions, confirming the importance of socio-psychological variables in predicting agricultural experts‘ decision to apply PATs. Experts perceived PATs as helpful and relatively easy to use. In addition, they had positive attitudes toward PATs and intended to use most PA technologies. The TAM posits that two attitudinal components of perceived usefulness (PU) and perceived ease of use (PEU) determine acceptance and use. PU is the degree to which one believes using technology would enhance job performance, while PEU is the degree to which using technology is free of effort. The results showed that PEU and PU had a positive impact on attitudes. The three constructs positively affected behavioural intention toward the application of PATs and explained 68.8% of the variance of this construct. Due to the novelty of PA in the country, PEU was the most critical determinant of intention.

Technology Updates on Plate Bending Machines with Hydraulic Systems

The swift progression of industrial technology has profoundly influenced the manufacturing sector, especially in the domain of sheet metal manipulation. Hydraulic plate bending machines hold a pivotal role in contemporary production due to their precision in shaping sheet metal components. This study aims to elevate the versatility and efficiency of hydraulic plate bending machines through innovative modifications. Key components underwent substantial alterations, including punch substitution, installation of dual punch locking plates, and integration of a pressure gauge. An evaluation ensued to determine the optimal parameters duration and force requisite for bending sheet metals ranging from 1 mm to 4 mm in thickness, aimed at assessing machinery efficacy. Test outcomes unveiled the modified machine's adeptness in accurately bending sheets of varying thicknesses, affirming its intended functionality. Moreover, the machine's enhanced adaptability allowed for seamless interchangeability of punches with diverse sizes and shapes. These empirical findings provide invaluable insights for enterprises striving to streamline manufacturing processes and boost overall productivity. Notably, this study highlights the pivotal role of technological advances in hydraulic plate bending machines, offering firms an efficient avenue to cater to diverse sheet metal shaping demands, thereby amplifying productivity and adaptability in industrial operations.

Flexible Cartridge Sorting Line Using Parallel Robot “Bulletsort Topcodpet”

Abstract Nowadays the automation of some industrial processes within the military system is a necessity, as this trend is accelerated by technological advances and thus must respond to the increasingly complex contemporary challenges of global security. Sorting is an extremely important process in almost any industrial area of use and it is essential that it is done in the right way so that productivity and flexibility of operations is increased. Over time, sorting with industrial robots has become an increasingly widespread and sophisticated technology, which has led to benefits in various industrial fields and manufacturing processes. This technology involves the use of robots with articulated arms or other mechatronic devices that follow the principle of modular interchangeability and are designed to pick, handle and sort different parts in an efficient and more accurate way. The desire to maximize flexibility, adaptability to changing industry requirements coupled with increased productivity has made robot arm sorting a necessary component of today's military industrial and manufacturing processes, and this technology continues to develop, opening up new opportunities in manufacturing automation. This paper presents the principle design of a flexible manufacturing line for sorting cartridges, served by a parallel robot with two degrees of freedom in the kinematic chain structure.

Optimization method for capacity configuration and power allocation of electrolyzer array in off-grid integrated energy system

Hydrogen production using renewable energy is in line with China's the goal of carbon peak and carbon neutrality. The construction of off-grid hydrogen energy industrial park can effectively achieve local utilization of renewable energy and develop the green hydrogen industry. However, off-grid hydrogen energy industrial park has not the compensation and sustentation from large power grid, the stable operation and economic production of electrolyzer are affected by significant factors, such as power fluctuation and frequent start stop. Therefore, this paper proposed the optimization method for capacity configuration and power allocation of electrolyzer array in off-grid integrated energy system. Firstly, based on units of energy supply, energy conversion, and energy storage, a structural model of off-grid integrated energy system was established. Then, by analyzing the operational characteristics of single electrolyzer and electrolyzer array, flexible mode of multiple electrolyzers operating in combination was proposed. Furthermore, considering the hydrogen production cost, the mean of hydrogen production volatility and penalty cost, the capacity configuration and power allocation methods for electrolyzer array were proposed, and the optimization problem is solved with multi-objective particle swarm optimization algorithm. Finally, the hydrogen energy industrial park in Zhangye is taken as example to verify the effectiveness of above research content. Compared to a single type of alkaline electrolyzer, the mean of hydrogen production volatility of multiple electrolyzers operating in combination has decreased by 43.2 %, the hydrogen production quantity has increased by 9.74 %. Compared to a single type of proton exchange membrane electrolyzer, the hydrogen production cost has been reduced by 14.16 %. Compared with the balanced running mode, the flexible operation mode can improve the cost-effective and quantity of hydrogen production.

An evaluation of the regional heterogeneity of museums' operational efficiency and productivity changes across Chinese provinces

Museums are critical in safeguarding cultural heritage and cultivating community educational opportunities. This research aims to evaluate operational efficiency (OE), the impact of technological change on total factor productivity change (TFPC), and the regional heterogeneity of museum performance in three regions and 31 provinces across China. To this end, the study employed DEA-SBM and the Malmquist Productivity Index to gauge OE, TFPC, and determinants of TFPC (efficiency change or emerging technologies change) across 31 provinces for 2012–2021. Results reveal that the average OE of the Chinese Museum is 0.8394. It shows a 16.06 % growth potential in the operational efficiency of Chinese Museums. Further, the OE of Chinese Museums declined over the study period from 0.8965 in 2012 to 0.8088 in 2021. Beijing, Fujian, and Hunan are ranked top with a Museum's OE Score of 1. The average MI score of Chinese Museums is 0.9744, and technology change is the main determinant of Decline in productivity change as EC = 0.9992 is greater than TC = 0.9846. The MI of Liaoning, Shanghai, Ningxia, Jiangxi, Chongqing, Sichuan, Guangdong, and Tianjin is over 1, indicating growth in total factor productivity over the study period. The eastern region of China shows higher operational efficiency and total factor productivity scores of museums than the central and western regions. The results of the Kruskal-Wallis test proved that a statistically significant difference exists among different regions of China for the OE, MI, EC, and TC of museums.

The Impact of Serialisation on Operational Efficiency and Productivity in Irish Pharmaceutical Sites

Technology enabling drug serialisation technology was introduced by regulators to enhance security in pharmaceutical supply chain and protect drugs from infiltration by falsified and substandard medicines. The introduction of systems for serialisation required huge financial outlays manufacturers of pharmaceuticals. This study investigated the impact of serialisation on the operational efficiency and productivity in Irish pharmaceutical sites. A qualitative study was conducted with 11 manufacturing sites in Ireland. The participating companies operated a total of 114 pack-lines, representing approximately 65% of the automated packing lines in the country. The study found that serialisation had a negative effect on packaging production line OEE and line availability and on the individuals cost per unit of packaged pharmaceuticals. The research results estimated that the capital costs of serialisation were four times greater than those estimated by the regulators. There was a 4.1 cents average cost per pack for serialisation with high volume sites reporting an annual cost of serialisation of up to €4.5 m per annum and a 2.7% increase in the average cost of goods sold. A pattern whereby where many pharmaceutical manufacturers are transitioning from smaller batch production and moving toward larger batch production sizes in order to increases efficiencies was identified. The research also proposed the use of a serialisation depreciation factor as a method to determine the impact of serialisation on the cost of goods sold. This is the first study of its kind into the cost of serialisation from a manufacturer’s viewpoint and studying the effects of serialisation on productivity, line availability and operational efficiency.

Establishment and development of the Center of Plant Systems Biology and Biotechnology in Plovdiv, Bulgaria

The Bulgarian research landscape, presented mainly by the research institutes that are part of the Bulgarian Academy of Sciences and the Agricultural Academy, needs diversification to match the research and innovation potential of the other European Union (EU) countries. This article describes the establishment of the Center of Plant Systems Biology and Biotechnology (CPSBB), a new innovative type of independent research organization that is changing the research landscape in Bulgaria. Supported by the EU Commission, Bulgarian Government, and Plovdiv Municipality, CPSBB has quickly become the leading plant science institute in Bulgaria, creating knowledge in diverse fields such as bioinformatics, biotechnology, genetics and genomics, metabolomics, and systems biology. We outline the organizational structure of CPSBB, the development of its infrastructure, and its scientific productivity. Finally, we compare CPSBB with other similar research establishments in Europe and we conclude that such new types of institutes have a bright future in Bulgaria due to their operational flexibility, productivity, and connections with academia and industry.

Extending the Digital Twin Ecosystem: A real-time Digital Twin of a LinuxCNC-controlled subtractive manufacturing machine

This research paper describes the design and implementation of a real-time data-driven Digital Twin Ecosystem (DTE) for a LinuxCNC-controlled subtractive manufacturing computer numerical control (CNC) machine. The DTE architecture integrates real-time data acquisition, processing, and synchronization with the physical CNC machine. Our architecture adopts and extends the methodology presented in previous work and utilizes two components, namely the data Acquisition, Processing, and Distribution Component (APDC), and the Virtual Representation Component (VRC), which is developed using the Unity real-time development platform. The DTE accurately models the CNC machine’s behavior under various operating conditions. The DTE is verified and validated through testing and experimentation, particularly focusing on response time, sequencing accuracy, and seamless integration. The DTE offers two modes of operation: the online mode allows for real-time process replication, ideal for process monitoring and remote management, while the offline mode supports asynchronous G-code simulation, enabling what-if analysis and exploration of process variables. In this work, we utilize the offline mode for predictive collision detection. Using the DTE, stakeholders could make informed decisions, optimize machining processes, and ensure cost-effective operations. This research contributes to the advancement of Digital Twin technology, particularly in CNC machining, fostering innovation in the manufacturing sector and promoting the development of practical, efficient, and reliable cyber–physical industrial systems, enhancing operational capabilities and productivity.

ANALISIS SENSITIVITAS PENURUNAN WAKTU PRODUKSI UNTUK MEMAKSIMALKAN PRODUK JADI SEKTOR KONSTRUKSI DENGAN MEMPERTIMBANGKAN KESEIMBANGAN LINTASAN

In simple terms, optimal allocation of resources will undoubtedly increase production efficiency, which in turn will increase the company's profit. The track balance (Assembly Line Balancing/ALB) aims to distribute the workload among work stations. The object of this research is the balance of the production line and workload in the girder production process. This study emphasizes the sensitivity analysis on reducing working time. Sensitivity analysis was conducted to evaluate the parameters that affect operational flexibility and productivity levels. The decrease in processing time on the largest work element will affect the increase in output. In this case, the processing time on the work element waiting for dry cast will be reduced by 10 minutes in each scenario. In the 8th scenario, the processing time of the working elements waiting for the dry cast is 80 minutes. In other words, the resulting output is 6 units, while idle time drops to 150 minutes. This study recommends reducing the processing time of working elements waiting for dry cast to be 80 minutes.

Development of big data assisted effective enterprise resource planning framework for smart human resource management.

The planning of human resources and the management of enterprises consider the organization's size, the amount of effort put into operations, and the level of productivity. Inefficient allocation of resources in organizations due to skill-task misalignment lowers production and operational efficiency. This study addresses organizations' poor resource allocation and use, which reduces productivity and the efficiency of operations, and inefficiency may adversely impact company production and finances. This research aims to develop and assess a Placement-Assisted Resource Management Scheme (PRMS) to improve resource allocation and usage and businesses' operational efficiency and productivity. PRMS uses expertise, business requirements, and processes that are driven by data to match resources with activities that align with their capabilities and require them to perform promptly. The proposed system PRMS outperforms existing approaches on various performance metrics at two distinct levels of operations and operating levels, with a success rate of 0.9328% and 0.9302%, minimal swapping ratios of 12.052% and 11.658%, smaller resource mitigation ratios of 4.098% and 4.815%, mean decision times of 5.414s and 4.976s, and data analysis counts of 6387 and 6335 Success and data analysis increase by 9.98% and 8.2%, respectively, with the proposed strategy. This technique cuts the switching ratio, resource mitigation, and decision time by 6.52%, 13.84%, and 8.49%. The study concluded that PRMS is a solid, productivity-focused corporate improvement method that optimizes the allocation of resources and meets business needs.

A STUDY ON IMPROVING PICKING EFFICIENCY IN THE DHL SUPPLY CHAIN USING PICK TO LIGHT TECHNOLOGY

This study delves into the integration of Pick to Light (PTL) innovation inside the complicated system of the DHL supply chain, pointing to illustrate its effect on operational productivity and vital arranging. Analysing information assembled from 221 members, the inquire about utilizes a vigorous strategy including relapse, chi-square, and ANOVA tests to supply comprehensive experiences. The comes about uncover a compelling relationship (β = 0.7864, p < 0.05) between the seen benefits of PTL innovation and the defence of speculation, showing a coherent arrangement between seen preferences and long-term taken a toll reserve funds. In addition, a essential affiliation (χ² = 264.62, p < 0.05) develops between recognitions of arrange precision and the defence of innovation costs, underscoring the essential part of exactness in forming recognitions of innovation esteem. The ANOVA test encourage complements the critical effect of PTL innovation on post-integration workforce evaluation (F = 388.76, p < 0.05), emphasizing its adequacy in upgrading workforce execution and operational effectiveness. These discoveries collectively emphasize the transformative potential of PTL innovation inside the DHL supply chain, enlightening its part in optimizing operations and vital decision-making forms. By leveraging PTL innovation, DHL stands balanced to cultivate effectiveness, upgrade competitiveness, and solidify its position as a pioneer within the energetic and advancing scene of the supply chain industry.