Product Data Management Research Articles

RANCANGAN APLIKASI ANDROID UNTUK SISTEM PENJUALAN DI TOKO ROTI ASLI DENGAN METODE WATERFALL

Asli Bakery, located in Yogyakarta, faces challenges in recording transactions and inventory that are still done manually. This recording system consumes a lot of time and has a high risk of errors. To improve efficiency and accuracy, this research aims to develop an Android-based sales application that allows real-time management of product data, transactions, and recaps. The method used in designing the system is Waterfall, which includes the stages of needs analysis, design, development, and testing. The results showed that this application speeds up the recording process and minimizes errors, allowing direct access to information for employees and shop owners. The implementation of this system shows the ability of Asli Bakery to adapt to information technology, strengthen its market position, and improve services to customers.

Type III Environmental Product Declarations – The perils and pitfalls of digitalization

Abstract Recent research highlights buildings as significant contributors to greenhouse gas (GHG) emissions, entailing the implementation of legally binding CO2 limits for several countries and a widespread adoption of environmental product declarations (EPDs). While PDF remains the common EPD format, the emergence of the digital ILCD+EPD format introduces start to play a more significant role. The format introduces complexities, posing uncertainties and challenges in effectively managing product data and integrating them into LCA software applications. Despite this, persistent challenges in transparency and comparability underscore the need for robust methodologies to ensure reliable material assessments. Limited literature exists on the applicability and comprehension of the ILCD+EPD format, prompting this study’s exploration, using the Web API from the European umbrella organization, the ECO Platform Portal. By compiling digital EPD files into a standard schema, the study aims to scrutinize the format for enhanced reliability and usability. The study assesses a total of 12,962 datasets from the ECO Platform Portal, revealing discrepancies in compliance and documentation, with adjustments made to ensure accuracy. Notably, 17 datasets were removed due to unknown compliance with EN15804, 2097 datasets were expired, 330 datasets were lacking important information of expiration and functional unit, and 66 datasets were removed due to invalid units unsuitable for building-LCAs This resulted in a total of 10,452 datasets, with 29% allocated to EN15804+A1 and 71% to EN15804+A2. Embracing the ILCD+EPD format enhances EPD effectiveness and improves sustainability practices but requires efforts to address data extraction challenges and inconsistencies.

Advanced authentication of IoT sensor network for industrial safety

As industries rapidly advance towards automation and intelligence, the Industrial Internet of Things (IIoT) plays a pivotal role in enhancing factory efficiency and production management. However, the advent of quantum computing introduces significant security challenges, particularly for data transmission and privacy protection, as its immense computational power can compromise the current cryptographic theories' safeguards. We introduce a novel lattice-based cryptographic authentication and key management scheme specifically designed for the IIoT within Wireless Sensor Networks (WSNs), focusing on establishing a secure industrial communication system capable of withstanding quantum threats. The proposed scheme utilizes Crystals-Kyber technology and is built around the Learning With Errors (LWE) problem, providing a robust foundation for security against both traditional and quantum threats. It features innovative methods to safeguard against password guessing, stolen verifier, and replay attacks, enhancing data confidentiality and system integrity. By integrating advanced cryptographic techniques resistant to quantum decryption, this research ensures the secure management and utilization of critical production data, supporting the ongoing transformation towards more intelligent manufacturing processes and sustaining global competitiveness for industries.

Design of a Website-Based Project Management Information System at Warung Nasi Kak Jum Saridah

Concept, testing, and service are the main priorities in the Warung Nasi Kak Jum Saridah business. Considering the use of paper media in order recording, table monitoring, and product data systems, problems often arise such as data duplication, misplaced documents, and errors in orders. Therefore, to overcome this problem, Warung Nasi Kak Jum Saridah needs a cashier management information system. This system will help business owners manage product data, monitor the dining table, and manage transactions more efficiently. Prototype analysis using the waterfall method in developing the cashier management information system at Warung Nasi Kak Jum Saridah. The hope is that this system will facilitate the overall cashier supervision and management process, increase efficiency in daily operations, and reduce errors that often occur in recording and monitoring data. Thus, the implementation of the cashier management information system will have a positive impact on the productivity and quality of Warung Nasi Kak Jum Saridah services to customers.

Industry 4.0 and Lean Manufacturing, using the MAUT Method

Industry 4.0 covers a wide range of areas, such as production processes, efficiency, data management, consumer relationships, and competitiveness. It is also becoming a topic of academic study, with researchers and scholars exploring various questions related to this revolution. Furthermore, the text mentions the Toyota Production System, which promotes efficiency and effective communication in production operations and introduces the concept of Lean Manufacturing, which aims to reduce costs and increase efficiency. The integration of Industry 4.0 with Lean Manufacturing is referred to as “Lean 4.0”. The method used in this article was a questionnaire sent to manufacturing companies in southern Brazil and analyzed the data obtained through the Multi-Attribute Utility Theory (MAUT), which is presented as a decision-making tool that allows comparing alternatives taking into account multiple criteria. The conclusions of this study show that both the views of senior management and those surveyed consider that the companies involved in this research will be in 5 years, with their Industry 4.0 well developed. On the Lean Manufacturing side, considering only the view of those surveyed, they consider that the companies involved in this study will be in 5 years, with Lean Manufacturing quite developed. The practical contribution of this study shows that the companies participating in the study are committed to adopting advanced manufacturing technologies and practices. This conclusion is important because it indicates that companies are aware of the opportunities and challenges of Industry 4.0 and Lean Manufacturing.

Revolutionizing Asset Management & MySQL Integration for Cutting-Edge Solutions

In this we developed a system effective asset management has become paramount for optimizing resources and streamlining operations This abstract introduces an innovative Revolutionizing Asset Management & MySQL Integration for Cutting-Edge Solutions developed on the MERN (MySQL, Express, React, Node) stack, tailored to efficiently manage product data. This web-based solution offers a comprehensive approach. The system allows users to record, categorize, search and monitor a diverse range of products within an organization. Once the product is searched into the database it fetches the variants available for the product. Before fetching master has access to add products, variants, values, etc. Built using React.js, the frontend of our application ensures optimal scalability and dynamism, catering to the evolving needs of modern organizations. The Application for finding Asset details within the organization involves - developing a software system that provides a user-friendly interface for searching products Keywords—: Asset management, MERN stack, scalability, categorization, streamline operations, variant

Reimagining the joint task force core competency framework for rural and frontier clinical research professionals conducting hybrid and decentralized trials.

Introduction: Clinical research professionals (i.e., clinical research assistants, clinical research nurses, clinical research coordinators, etc.), as outlined by the Joint Task Force (JTF) Core Competency Framework, are highly trained to support the breadth of clinical trial operations and manage participant care. Clinical research professionals are uniquely equipped with a scope of practice that permits product administration, participant assessments, and data management. As clinical trials grow in complexity and their management expands beyond traditional, site-based operations models to decentralized and/or hybrid models, the need becomes great to ensure adequate staffing. However, rural hospitals frequently lack the research staff or patient recruiters that would allow them to support decentralized clinical trials across a sizeable rural geographic demographic. Methods: This paper examines the contributory factors of the clinical research professional workforce contraction and response efforts at professional and organizational levels within a large, Magnet-designated healthcare system in the rural northwestern United States. Perspectives are shared on adapting the Core Competency Framework to reflect the unique strengths and opportunities towards decentralized trials in rural regions of the United States and areas of priority for workforce cultivation and retention. A descriptive survey was used to gather initial data identifying the current research perspectives of healthcare workers working across a rural community. Participants were asked to complete questions about the JTF Competency domains and behavior-based questions. Analysis: Both competency and behavior-based questions were asked and related to roles. These were then cross-referenced using a Rasmussen Ladder system. Descriptive statistics were conducted for sample characteristics, self-reported competency domain questions, and behavior questions. Results and discussion: Survey findings suggest that although healthcare workers and clinical research teams interact, they are unlikely to ask their patients to participate in research. Based on the limited response rate, results suggest that better education throughout the rural community could benefit from decentralized research efforts. Increased use of technology was also highlighted as an area of interest.

Perancangan Sistem Manajemen Data Produksi Batu Bara Di PT Mitra Terminal Kaltim

This dedication aims to design a Coal Production Data Management System at PT. Mitra Terminal Kaltim using the Waterfall method to enhance efficiency. Coal production data, including hauling, crushing, barging, coal getting, stock reporting, and daily reporting, is currently manually managed using Excel, resulting in process inefficiencies. Through systematic design steps, this dedication emphasizes the User Interface (UI) to expedite and streamline the production data processing. The expected outcome is to support coal production monitoring more swiftly and efficiently.

Streamlining Energy and Production Data Management from Field to Processing

Streamlining Energy and Production Data Management from Field to Processing

Perancangan Aplikasi Visualisasi Database Produksi dengan Metode Agregasi menggunakan Looker Studio dan Google Sheets Berbasis Web Studi Kasus di PT. ANTAM. Tbk

The development of information technology has substantially changed the industrial landscape, including production data management. PT. ANTAM Tbk., as a mining and metallurgical company, realizes the significance of using technology to optimize operations and make data-based decisions. This research aims to design a production database visualization application by applying the aggregation method via the web-based Looker Studio and Google Sheets platforms. The aggregation method is applied to combine production data spread across various sources into more concise and easily accessible information. Looker Studio was chosen as a tool for designing interactive and informative data visualizations. Integration with Google Sheets provides flexibility in managing and storing production data. Case study at PT. ANTAM Tbk. used as a basis for applying this design concept in a practical context. This research uses a system development design approach to design and implement a production database visualization application. The analysis stage includes identifying user needs and production data characteristics. The design phase involved developing a data aggregation model and visualization interface using Looker Studio. Integration with Google Sheets was implemented at the development stage. The result of this research is a web application that allows users at PT. ANTAM Tbk. to access, analyze, and visualize production data effectively. This application provides information more quickly, accurately, and relevantly, supporting better decision-making based on data. The implications of this research include contributions to the development of information technology solutions that can increase operational efficiency and effectiveness in the mining and metallurgical industries

Mitigating product data management challenges in the wooden single-family house industry

The housing industry faces challenges in product data management, resulting in negative effects on productivity, efficiency, and quality. The purpose of the study presented in this paper is to elaborate on requirements and functions of a support system to mitigate challenges with product data management in the wooden single-family house industry. As a support system, a pilot product lifecycle management (PLM) system was developed with functions to fulfill the requirements. The support system was installed and tested in a real-world setting, a wooden single-family house company, Company T. The paper contributes with the insights that a PLM system for industrialized house building can be developed, fulfilling the requirements in this specific industry. The functions developed were perceived to have value and could, for Company T, mitigate their challenges with product data management. The support system facilitate integration between the pilot PLM system, the building information modeling tool and the enterprise resource planning system at Company T. Based on the study carried out, the paper concludes that a PLM system is feasible, and that it might be a way to mitigate challenges with product data management in the wooden single-family house industry.

Mitigating product data management challenges in the wooden single-family house industry (REDIRECT)

The housing industry faces challenges in product data management, resulting in negative effects on productivity, efficiency, and quality. The purpose of the study presented in this paper is to elaborate on requirements and functions of a support system to mitigate challenges with product data management in the wooden single-family house industry. As a support system, a pilot product lifecycle management (PLM) system was developed with functions to fulfill the requirements. The support system was installed and tested in a real-world setting, a wooden single-family house company, Company T. The paper contributes with the insights that a PLM system for industrialized house building can be developed, fulfilling the requirements in this specific industry. The functions developed were perceived to have value and could, for Company T, mitigate their challenges with product data management. The support system facilitate integration between the pilot PLM system, the building information modeling tool and the enterprise resource planning system at Company T. Based on the study carried out, the paper concludes that a PLM system is feasible, and that it might be a way to mitigate challenges with product data management in the wooden single-family house industry.

Integrated Platform-Based Tool to Improve Life Cycle Management and Circularity of Building Envelope Components

The construction industry impacts resource consumption and waste production and thus necessitates solutions that promote sustainable practices. In particular, it must address challenges surrounding data collection and digital management services that often hinder the recycling or reuse of materials. The purpose of this study is to develop an integrated platform-based digital tool that seamlessly incorporates circular economy principles into construction processes, with a particular focus on circular resource utilization in the building envelope components’ life cycle. This tool aims to address the challenges in the construction industry related to resource consumption, waste production, and sustainability by promoting sustainable practices and improving material management. This paper reports industrial joint research to develop an integrated platform-based digital tool that seamlessly incorporates circular economy principles into construction processes, focusing on circular resource utilization in the building envelope components life cycle. By combining different platforms and services from the previous research, this study’s results enhance and integrate comprehensive thinking approaches and services. These include promoting raw material substitution, reducing supply chain arrangement time, minimizing waste throughout the building component lifecycle, enhancing disassembly processes, and improving life cycle environmental assessments. The tool design was informed by user-driven narratives and requirements, and demo case testing procedures, ensuring usability and industry relevance. Furthermore, integration with product lifecycle management software and data management platforms enhanced data sharing and accuracy. This study highlights the potential of integrated tools to revolutionize supply chains and promote circular economy, transforming construction paradigms. They can contribute to the reshaping of material management towards environmental consciousness, fostering resource-efficient green building solutions, and enabling more circularity in the construction industry.

Open Framework For Digital Twin Ship Data: Case Studies On Handling Of Multiple Taxonomies And Navigation Simulation

The digital twin concept describes a comprehensive model used to monitor and simulate an existing asset in nearly real-time. In a maritime context, digital twins do not yet have a wide selection of standards to support interoperability among systems, undermining users’ ability to create a cohesive digital twin that combines multiple sources of data. This study proposes an open framework for modelling and organizing ship, sensor, and operating context data in digital twins. The framework is web-driven, allowing digital twin content and simulations to be accessed by distributed users. Two case studies based on the framework are presented. The first one explains how to manage ship and sensor data using taxonomies suitable across different stages of the lifecycle. A dashboard for browsing a digital model of the research vessel Gunnerus according to taxonomies for early design and operation is developed as a proof of concept. The second case study illustrates how the proposed data standards can be used to develop simulations accounting for some aspects of the vessel’s operating context. The digital Gunnerus model is used to develop a navigational simulator including surrounding terrain and nearby vessels. The challenges anticipated in scaling the framework toward industrial applications are discussed in terms of standards’ capabilities, compatibility, and of data governance. Plans of integrating the case studies with sensor streams to obtain true digital twins are outlined.

Decision-Making Model of Production Data Management for Multi-Quality Characteristic Products in Consideration of Industry 4.0

Decision-Making Model of Production Data Management for Multi-Quality Characteristic Products in Consideration of Industry 4.0

Impacts of product structural characteristics on modular performance with virtual DSM data mining

ABSTRACT Increasingly fierce market competition and rapidly changing customer demand has led many manufacturing enterprises to actively adopt modular architecture for product design and development. This helps them to effectively control their production costs while maintaining the diversity of product variants. However, there are considerable differences between the structure of different products; the degree to which each product is suitable for adopting a modular architecture also varies. Here, we explored the impact of product structural features (the number of parts and the average number of connected nodes) on its modular performance, based on virtual product design structure matrix (DSM) data. We first propose a method for constructing a DSM of a virtual product and randomly generate a database of DSMs with different structural parameters. We then carry out hierarchical clustering and modularity evaluation on a DSM model to obtain the optimal modularity scheme and corresponding Q value. Finally, based on numerical simulation data, the relationship between the structural features of virtual products and their modular performance was analyzed. In addition, eight actual products were selected to verify the simulation results and ensure the credibility of these results. Abbreviations: ANCN, Average number of connected nodes; CE, Clustering efficiency index; DSM, Design structure matrix; HC, Hierarchical clustering; IC, Integrative complexity; LCA, Life cycle assessment; MDL, Minimum description length; MDS, Multi-dimensional scaling; MI, Modular index; MSI, Module strength indicator; PC(c), Partition coefficient c; PDM, Product data management; PLM, Product lifecycle management.

Analisis Perencanaan Strategis Sistem Informasi dengan Metodologi Tozer pada Sabisu Interior

Sabisu Interior is an interior design service company located in Ngawi Regency. The operational management of ordering Sabisu Interior services has not yet used an information system. Problems arise because of the increasing number of customers and demand for the number of orders. Order, production and financial data management is still carried out by recording it in Microsoft Office applications. his raises the problem of discrepancies between order data, production data and financial data. In this research, a strategic planning of information systems and information technology will be carried out using the Tozer method. Several analysis tools are used such as Value Chain, PEST, CSF and Mc. Farlan Strategic Grid to provide an overview of IS/IT implementation. The research objective is to produce a portfolio of IS/IT strategic planning models that support Sabisu Interior's business strategy and vision and mission. The formulation of IS/IT strategic planning using the tozer method in this study produced an IS/IT strategic planning portfolio document. The results of this research in the form of a portfolio document contain 9 proposals for implementing IS/IT which will be used as recommendations for Sabisu Interior to make decisions regarding the development of IS/IT for the company in the future.

GITHUB FOR PRODUCT DEVELOPMENT - HOW COULD THAT LOOK LIKE?

AbstractProduct development is facing new challenges due to increasingly complex and individualized products in small batch sizes and short time to markets at high quality standards. Integrated product data management along with systematic requirements engineering and early stakeholder involvement are known to be key enablers for the success of future product development. In software development, established platforms such as GitHub exist, which have been shown to improve stakeholder communication, requirements elicitation, and software design decisions. In product development, similar platforms exist with impressive functionality, but which have some drawbacks such as closed source licenses, vendor-specific data formats, and expert-level user interfaces. To overcome the current situation, we study how the ideas of GitHub can be translated to an open source solution for product development and which concepts can be reused or must be changed. Core deliverables of our work are (1) an integrated data model of requirements (or design tasks), project schedules, and revisions of computer-aided design (CAD) models as well as (2) an interface model.

Experience of designing and implementing integrated system of technological preparation of productionfor manufacturing new aircraft engines

The technological preparation of production (TPV) is one of the key stages of the product life cycle (LPL) when designing and developing new aircraft engines. The TPV system foresees the use of the following instruments: CAD/CAM/CAE systems to ensure the implementation of the following operations: automated design, production and engineering calculations; Product Data Management systems (PDM) to ensure product data management; Enterprise resource planning (ERP) systems for the corporate resource planning. Note that the instruments above are combined into PLM-systems to provide information support for the TPV system. The paper reviews the experience of designing and implementing the integrated TPV system at Motor Sich JSC for the purpose of manufacturing new aircraft engines. The author presents a structural diagram of the implemented integrated system containing a complex of interdependent subsystems along with a description of the system of automated design of process documents, which provides for the on-line design of production processes. The paper gives a description of subsystem of automated preparation of programs for CNC machine tools, which is designed to calculate the trajectory of the cutting tool when machining geometrically complex parts of aircraft engines. The paper specifies the subsystem of automated design of technological equipment, which is in compliance with requirements for modern tool production. The author underlines that the system of automated design of production equipment saw the following design subsystems reaching the highest level of development: subsystems for designing cutting and gear machining tools; subsystems for designing machine tools; subsystems for designing the monitoring and metering instrument; subsystems for designing foundry and stamping equipment; subsystems for designing control of gear cutting tools as per electronic standards. It is noted that the automated subsystems of analyzing production processes allow for performing the following analyses: analyzing metal casting processes; analyzing stamping processes; analyzing cutting processes; analyzing gear-cutting processes. The author provides the following results of implementing the integrated system of technological preparation of production at Motor Sich JSC: i) The TPV period was increased by 1.2–1.5 times, and ii) The efficiency of design and construction works was raised by 3–3.5 times.

PENERAPAN FRAMEWORK CODEIGNITER UNTUK WEBSITE TOKO ONLINE PADA DASTER HITS PONTIANAK

Daster Hits pontianak has a need to expand its market share and manage valid data systems. The sales system currently used is traditional sellers and social media such as Instagram and WhatsApp, therefore the interaction between the store and customers is still limited, recording of transactions is still manual using a transaction book, and if customers want to find products they have to scroll Instagram or come directly to the store. The purpose of this research is to apply the CodeIgniter framework to build an online shop website which is expected to help the shop in promoting the product, manage product data, and expedite the product sales process. The research method used in this research is Design Science Research and the design method uses Extreme Programming. The system modeling used is the Unified Modeling Language (UML) and the software testing method uses white-box testing. The advantages of Daster Hits Pontianak Online Shop website are the features such as managing user profiles, product sales, detailed product information, online product orders and payment confirmation, searches using sequential search algorithms, managing product stocks using the Apriori algorithm, and notifications using push notifications. The process of making this program uses the PHP programming language and the MariaDB database.