Journal articles: 'Factory Planning Process'

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Büscher, Christian, Hanno Voet, Tobias Meisen, et al. "Improving Factory Planning by Analyzing Process Dependencies." Procedia CIRP 17 (2014): 38–43. http://dx.doi.org/10.1016/j.procir.2014.01.142.

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Chen, Danfang, Steffen Heyer, Günther Seliger, and Torsten Kjellberg. "Integrating sustainability within the factory planning process." CIRP Annals 61, no. 1 (2012): 463–66. http://dx.doi.org/10.1016/j.cirp.2012.03.067.

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Hartmann, Matthias, and Jörg Bergbauer. "Model-Shop Factory Design - Human Integrated Factory Planning and Process Optimization." IFAC Proceedings Volumes 31, no. 26 (1998): 119–24. http://dx.doi.org/10.1016/s1474-6670(17)40079-6.

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Kopf, Robin, Lorena Schlesinger, Steven Peters, and Gisela Lanza. "Adjusting the Factory Planning Process when Using Immature Technologies." Procedia CIRP 41 (2016): 1011–16. http://dx.doi.org/10.1016/j.procir.2015.12.064.

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Zhang, Sheng Fang, Yong Quan Gan, Kui Zeng, and Chang Jun Ji. "Study on Process Planning of Auto Body Welding Line Based on Digital Factory." Advanced Materials Research 562-564 (August 2012): 639–42. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.639.

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Auto body welding line process planning is one of the key sections which determines the production cycle of the whole automobile. Take the advanced digital factory software – Process Designer as developing platform, the production information management and the process planning of the auto body welding line are realized by creating manufacturing model and process model, and the auto body welding line process planning system is constructed, the realizing method and step of processing planning are described in detail. Furthermore, take one auto body floor welding line as an example, the 3D digital factory based on the process planning system is generated, and the planning results is verified. The result shows, applying the system in welding process planning, can shorten the time and increase the accuracy of process planning remarkably.

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CAI, JING, MICHAEL WEYRICH, and ULRICH BERGER. "ONTOLOGICAL MACHINING PROCESS DATA MODELLING FOR POWERTRAIN PRODUCTION IN EXTENDED ENTERPRISE." Journal of Advanced Manufacturing Systems 04, no. 01 (2005): 69–82. http://dx.doi.org/10.1142/s0219686705000588.

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As a new CAx concept, Digital Factory points out digital design of product & virtual planning of production. In this context, feature technology builds up the entire CAx process chain in Digital Factory, and facilitates STEP based engineering data generation and exchange. The collaborative computer-aided machining process planning of a transfer line is an element in process chain of extended enterprises Automotive Engineering. In practice, it is an approach engaged by both OEMs and their long-term machine suppliers. Application of a CAD-based Digital Factory planning system to design a virtual transfer line needs planning standard data and exchange with supplier. This paper highlights STEP-referenced ontological data modeling approach in the standardized data exchange for collaborative machining process planning, discusses the aspects of its prospective application advantages in machining process planning by OEMs and suppliers for Powertrain production in Automotive Industry.

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Um, Jumyung, Yong-Chan Choi, and Ian Stroud. "Factory Planning System Considering Energy-efficient Process under Cloud Manufacturing." Procedia CIRP 17 (2014): 553–58. http://dx.doi.org/10.1016/j.procir.2014.01.084.

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Thilmany, Jean. "Planning a Plant." Mechanical Engineering 125, no. 02 (2003): 42–45. http://dx.doi.org/10.1115/1.2003-feb-3.

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This article focuses on the efficient planning involved in the manufacturing plant. Factory simulation software gives a sense of whether or not such a bottleneck would occur if the factory process were laid out as planned. It extrapolates problems of a particular line layout and forecasts the costs of a problem like a bottleneck. The digital factory software allows manufacturers to simulate factory layout digitally, in order to see how the plant would function under the proposed arrangement and to realize potential problems on the line. In addition to robots, employees themselves can be represented in a digitized version. In this way, engineers can figure out where employees should stand on the line and design workstations for them to both optimize their movements and to ensure they are not under any kind of ergonomic stress. Virtual factories can be planned together by people in different locations with the help of software that allows for fly-through.

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Tschöpe, S., C. Koltze, and P. Nyhuis. "Fabrikplanungsspezifische Modellierungssprache*/Modeling language for factory planning." wt Werkstattstechnik online 105, no. 04 (2015): 179–83. http://dx.doi.org/10.37544/1436-4980-2015-04-21.

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In Fabrikplanungsprojekten werden Informationen zu Produkten, Prozessen sowie Restriktionen weitestgehend unabhängig voneinander aufgenommen. Dadurch entstehen Redundanzen und wichtige Korrelationen bleiben teilweise unerkannt. Die Qualität der Ergebnisse hängt somit vom Fachwissen des Fabrikplaners ab. Der Fachbeitrag stellt das Konzept für eine Prozessmodellierungssprache vor. Diese Sprache strukturiert ganzheitlich die Informationsbeschaffung und -darstellung im Rahmen von Fabrikplanungsprojekten. &nbsp; In factory planning projects information of products, processes and restrictions are aggregated independently. Thus, redundancy occurs and important correlations remain undetected. The quality of results relies upon the factory planner’s expertise. Within this article, a process modelling language for a structured information acquisition and presentation in the context of factory planning projects is presented.

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Chen, James C., Cheng Ju Sun, and Po Tsang B. Huang. "Integrated Capacity Planning System for IC Backend Factory." Key Engineering Materials 450 (November 2010): 369–72. http://dx.doi.org/10.4028/www.scientific.net/kem.450.369.

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Integrated Circuit (IC) manufacturing consists of four major phases - wafer fabrication, wafer probe, IC packaging, and final test. Wafer fabrication and wafer probe belong to front-end process, while IC packaging and final test belong to backend process. In this research, integrated capacity planning system (ICPS) is proposed for IC backend manufacturing by taking into account the capacity and capability of resources. This study develops integrated infinite capacity planning integrating the capacity planning of both IC packaging and final test processes to minimize the standard deviations of machine utilization and kit utilization as well as the total extra capacity requirement (as a percentage) exceeding the capacity limit of machine and kit. ICPS applies the concept of workload leveling and infinite capacity planning on dual resources. ICPS consists of five modules: Work-In-Process (WIP) Pulling Module, Lot Release Module, Resource Selection Module, Workload Accumulation Module, and Workload Balance Module. WIP-Pulling Module pulls WIP from the end of the process route to meet the master production schedule (MPS). If WIP cannot meet the MPS requirement, Lot Release Module is executed. ICPS will use Resource Selection Module to accumulate the required resource capacity along its routine at different time buckets. Workload Accumulation Module simultaneously accumulates the workload of the major resources. Workload Balance Module levels the loading of resources by adjusting the lot’s start time using these resources. ICPS is developed in Microsoft Visual Basic and industrial data are used to test its performance. The results show that ICPS is effective and efficient to balance the workload of resources for IC backend factories including packaging and final test.

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ISAKOV, Aleksandr S. "ARCHITECTURAL FEATURES OF THE MINSK FACTORY-KITCHEN." Urban construction and architecture 10, no. 3 (2020): 59–69. http://dx.doi.org/10.17673/vestnik.2020.03.9.

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Architectural and planning features of the kitchen factory in Minsk are considered, including urban planning, functional planning and space-spatial organization, compositional and stylistic characteristics. The problems of preserving architectural objects of the constructivism period of the 1930s, including the studied kitchen factory, are revealed. New historical facts and archival materials are presented, which expand the research base and can contribute to the development of a scientifi cally sound strategy for preserving the kitchen factory in Minsk in the process of its functioning in modern conditions.

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Jacob, A., M. Hillermeier, and G. Lanza. "Fabrikplanung für die additive Fertigung*/Factory planning for additive manufacturing." wt Werkstattstechnik online 109, no. 04 (2019): 280–85. http://dx.doi.org/10.37544/1436-4980-2019-04-78.

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Additive Fertigung verändert die Produktion der Zukunft und hat durch seine technischen und organisatorischen Anforderungen auch Einfluss auf die Fabrikplanung. In diesem Fachbeitrag wird ein neues Konzept für die Integration von additiver Fertigung unter Berücksichtigung von Industrie 4.0 in der Fabrikplanung diskutiert. Es werden Erkenntnisse über Spezifika entlang des Fabrikplanungsprozesses nach VDI 5200 auf Basis von Experteninterviews vorgestellt. &nbsp; Additive Manufacturing will change the future of manufacturing. Therefore, it will affect the factory planning process with its new requirements. A new concept for the integration of additive manufacturing in consideration of industry 4.0 in factory planning will be discussed in this paper. Furthermore, specifics of additive manufacturing along the VDI 5200 factory planning process will be displayed based on interviews with experts.

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Hingst, Lennart, Antal Dér, Christoph Herrmann, and Peter Nyhuis. "Towards a Holistic Life Cycle Costing and Assessment of Factories: Qualitative Modeling of Interdependencies in Factory Systems." Sustainability 15, no. 5 (2023): 4478. http://dx.doi.org/10.3390/su15054478.

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Modern factory planning requires a holistic perspective taking economic as well as environmental sustainability over the entire factory life cycle into account. As a complex socio-technical system, the factory life cycle consists of multiple life cycles of the inherent factory elements. A holistic understanding of the individual life cycles and their interdependencies is missing for both planning and operation of a factory. Therefore, the goal is to develop a system understanding about life cycle-oriented factory planning and to analyze the contribution of relevant factory elements to the sustainability of a factory. As a result, a knowledge base for life cycle costing and assessment of the entire factory is established using an impact path model. The qualitative model supports factory planners in deriving planning measures for the sustainable design of a factory and in determining data requirements for the quantitative evaluation of the economic and environmental sustainability of a factory. It shows that the production and logistics concepts essentially define the sustainability potential during planning, while the resulting life cycle behavior of the process facilities and workers is responsible for the majority of costs and environmental impacts of a factory. Factory planners must therefore become aware of the implications of planning decisions on factory operation when developing concepts in the future.

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Burggräf, Peter, Thomas Bergs, Matthias Dannapfel, et al. "Achieving parametric transparency in model-based factory planning." Production Engineering 15, no. 1 (2021): 57–67. http://dx.doi.org/10.1007/s11740-020-01010-6.

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AbstractThe planning of new factories, as well as the re-planning of existing factories, has become more frequent due to increasingly changing business requirements, as for example shorter product life cycles and Industry 4.0. A higher number of involved planners and the resulting high amount of planning information strongly require coordination. In this context, the importance of Building Information Modeling (BIM) in factory planning rises as it provides a method of integrated building planning and planning validation by means of 3D software and object-oriented modelling. However, despite the use of BIM, there are still major interface problems in factory planning that cannot be solved by the still manual plausibility checks of non-geometrical planning information. To enable automatic checking of planning results, thereby improving the BIM-based factory planning process, machine-readable explication of the parametric dependencies are required between different planning fields such as production planning and building planning. The goal of this paper is to show parametric and thus non-geometric dependencies that exist between the sub-models of BIM-based factory planning in such a way that software agents can automatically evaluate this design information. Within the planning interface between production planning and building planning, the paper focusses on the particular exchange between the planning of the manufacturing system and the planning of a cutting fluid pump. With the involvement of domain experts from factory planning, systems engineering and production engineering, we as the authors have managed to develop a coherent system of block diagrams, constraint diagrams and parametric diagrams that explicate the focused interface in a machine-readable manner. We believe our accomplishments are an essential element for completely automated planning validation in BIM-based factory planning and general object-oriented modelling in the future.

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Lind, Andreas, Lars Hanson, Dan Högberg, Dan Lämkull, Pär Mårtensson, and Anna Syberfeldt. "Integration and Evaluation of a Digital Support Function for Space Claims in Factory Layout Planning." Processes 12, no. 11 (2024): 2379. http://dx.doi.org/10.3390/pr12112379.

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Planning and designing factory layouts are frequently performed within virtual environments, relying on inputs from various cross-disciplinary activities e.g., product development, manufacturing process planning, resource descriptions, ergonomics, and safety. The success of this process heavily relies on the expertise of the practitioners performing the task. Studies have shown that layout planning often hinges on the practitioners’ knowledge and interpretation of current rules and requirements. As there is significant variability in this knowledge and interpretation, there is a risk that decisions are made on incorrect grounds. Consequently, the layout planning process depends on individual proficiency. In alignment with Industry 4.0 and Industry 5.0 principles, there is a growing emphasis on providing practitioners involved in industrial development processes with efficient decision support tools. This paper presents a digital support function integrated into a virtual layout planning tool, developed to support practitioners in considering current rules and requirements for space claims in the layout planning process. This digital support function was evaluated by industry practitioners and stakeholders involved in the factory layout planning process. This initiative forms part of a broader strategy to provide advanced digital support to layout planners, enhancing objectivity and efficiency in the layout planning process while bridging cross-disciplinary gaps.

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Hawer, Sven, Benedikt Sager, Hanna Braun, and Gunther Reinhart. "An Adaptable Model for the Factory Planning Process: Analyzing Data Based Interdependencies." Procedia CIRP 62 (2017): 117–22. http://dx.doi.org/10.1016/j.procir.2016.06.003.

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Disselkamp, Jan-Philipp, Robin Grothe, Jonas Lick, et al. "Towards the digital factory twin – design guide for creating a 3D factory model." Proceedings of the Design Society 4 (May 2024): 1979–88. http://dx.doi.org/10.1017/pds.2024.200.

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AbstractShorter product lifecycles are also leading to even shorter planning times for the development of production systems. In most companies, the restructuring is carried out within a few weeks during the annual holidays. Digital tools such as simulations or the digital twin are used to avoid delaying the restructuring during this time. However, the introduction of a 3D model of the factory is often the first point of failure for many companies. This article proposes a six-step process model that enables the transition from 2D to 3D design. The process model was evaluated in a research project.

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Himmler, Florian. "The Digital Factory." International Journal of Distributed Systems and Technologies 5, no. 2 (2014): 17–30. http://dx.doi.org/10.4018/ijdst.2014040102.

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Today, industrial enterprises are increasingly facing the need to achieve shorter lifecycles for their products, which at the same time are getting more and more complex. One approach to face this challenge is to introduce the Digital Factory. The Digital Factory is defined as an IT system capable of digitally planning, controlling and optimizing all resources and activities related to a product which are performed beginning with its development and ending in the order processing – prior to the start of the real production of the product. In this article a newly defined reference process for the Digital Factory is used as basis for a software classification schema. Using this schema the results of a software market analysis for the Digital Factory domain have been structured and interpreted from a process and functionality coverage point of view. With this approach, the authors were able to prove that the amount of software solutions available within this domain is huge. This generates a need for IT support within the software selection process for the Digital Factory domain. To achieve this, a first concept for a structured software selection process is introduced. The results of this article can be used as a basis for future research on this topic.

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Fajar Hafidin, Muhammad, and Asep Erik Nugraha. "Analisis Dan Usulan Perencanaan Tata Letak Pabrik Bagian Produksi Menggunakan Metode Systematic Layout Planning (SLP) Di PT.ABC." Industrika : Jurnal Ilmiah Teknik Industri 7, no. 2 (2023): 161–71. http://dx.doi.org/10.37090/indstrk.v7i2.964.

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Good factory layout planning is one of the factors that can increase company productivity. Layout is a facility design, layout analysis, concept formation, as well as the embodiment of the system for making goods or services. Applying a good layout in a company can cut the time needed in a production process and also reduce the energy that must be expended by workers. This research was conducted at PT. ABC is part of the Drivetrain Unit Department located in the Bukit Indah City Industrial Area, Purwakarta, West Java. The object to be observed is the layout of the factory for the production of single part trunnion which is devoted to the seat trunnion sub-component. The research method used is quantitative method. Data processing used to solve problems at PT. ABC uses the Systematic Layout Planning (SLP) Method approach. The goal is to be able to optimize the existing layout and increase the efficiency and effectiveness of the productivity of the company's performance. The conclusion is that the current condition of the factory layout is quite effective because it can produce one trunnion product faster than the predetermined takt time. However, there are still some improvements in the layout of the factory and the production process. Researchers try to provide suggestions for the layout of the new factory and its production process. The result is that the suggested layout has a time that is 94 seconds faster than before. Keywords: Layout, Production, Productivity, Systematic Layout Planning

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Nåfors, Daniel, and Björn Johansson. "Virtual Engineering Using Realistic Virtual Models in Brownfield Factory Layout Planning." Sustainability 13, no. 19 (2021): 11102. http://dx.doi.org/10.3390/su131911102.

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As more pressure is put on manufacturing companies to increase productivity and reduce waste as a means to remain competitive due to increased globalization and digitalization, many companies find themselves investing in their production systems, leading to changes in their existing factories and production systems. This process is usually performed with 2D CAD drawings and data of varying quality, leading to several challenges along the way. This longitudinal research follows up on eight years of industrial studies where researchers have applied 3D laser scanning and immersive virtual reality to improve the brownfield factory layout planning processes in real industrial scenarios, a novel approach in the research field. By interviewing key stakeholders at each company and analyzing the findings, challenges in data availability and accuracy of existing data, grasping scale and perspective, and challenges gathering input and communicating around planned changes are identified and shown to be substantially alleviated by the application of the technological tools and allowing more people to be part of the factory layout planning process. By using virtual engineering, industries can improve their brownfield factory layout planning process and take well-informed decisions leading to sustainability benefits via fewer costly mistakes, improved employee engagement, and less need for travel.

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Ceylan, Cemil, Hüseyin Başkurt, Yasin Erkan, and Şeymanur Uğur. "Process analysis and optimal facility layout planning in manufacturing systems." Yugoslav Journal of Operations Research 33, no. 1 (2023): 133–52. http://dx.doi.org/10.2298/yjor2105015033c.

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In this article, it is emphasized that the process analysis for companies is carried out by using the DISCO process mining program and the results are interpreted and developed. In the light of machine and worker occupancy information obtained as a result of process analysis, imbalances, if any, are detected. These imbalances are resolved by arranging job assignments. Another information that we obtain is the time elapsed until the processing of any workpiece on a machine is finished. This time consists of the time elapsed between the machines and the waiting time in the queue of the machine to be processed. The waiting time in the queue of the machine will be improved by adjusting the workload balance of the machines and the transportation times will be improved by creating the best plant layout suitable for the process. As a result, the facility layout of the factory was made considering the functional grouping. In the study, a layout is designed in accordance with the workflow of the products. With this newly designed plan, it has been determined that the products can be produced by covering 50% less transport distance. In addition, the workload imbalances of the machines and workers were corrected by changes in job assignments. This has reduced the cycle time of a product by eliminating bottlenecks at the factory.

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Jaensch, J., A. Neyrinck, A. Lechler, and A. Prof Verl. "Variantenreiche Fabrikplanung*/Variant-based factory planning - Automatically generated simulation models to support factory engineering." wt Werkstattstechnik online 107, no. 09 (2017): 640–46. http://dx.doi.org/10.37544/1436-4980-2017-09-78.

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Maschinen und besonders Anlagen werden meist in individuellen Prozessen entwickelt. Bereits in der Angebots- und Konzeptionsphase werden im direkten Austausch mit dem Auftraggeber unterschiedliche Varianten diskutiert und iteriert. Zur Bewertung der Varianten sind neben den Anschaffungskosten unter anderem laufzeitabhängige Größen wie Taktzeiten und Energieeffizienz zu untersuchen. Der Beitrag stellt einen Ansatz zur simulationsbasierten Untersuchung für die automatisierte Variantengenerierung von Anlagen vor. &nbsp; The development of machines or plants is a very individual process. Within the conceptual design phase, many different variants have to be discussed with customers and adapted to their needs. For a decent evaluation of the different variants, many parameters beyond static values such as costs are important. Term-dependent values like cycle times and energy efficiency also have to be investigated. This paper presents a method for the automated generation of plant variants based on simulation.

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Näser, P., and N. Wickenhagen. "Fabrik-Integration in das Building Information Modeling (BIM)/Factory integration into building information modeling." wt Werkstattstechnik online 108, no. 04 (2018): 245–50. http://dx.doi.org/10.37544/1436-4980-2018-04-51.

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Die Anforderungen an den Planungsprozess, insbesondere hinsichtlich der Planungsqualität, nehmen bei steigendem Kostendruck immer mehr zu. Gleichzeitig verlaufen der Planungs- sowie der begleitende Kommunikationsprozess zwischen den unterschiedlichen beteiligten Gewerken zunehmend digital. Der Planungsansatz des Building Information Modeling (BIM) verfolgt eben diese Ziele, im Wesentlichen aber bei der Planung und dem Betrieb von Gebäuden. Im Beitrag wird untersucht, wie sich der BIM-Ansatz auf die Fabrikplanung übertragen lässt. &nbsp; The requirements of the planning process, in particular with regard to the planning quality, rise more and more with increasing cost pressure. At the same time, the planning process and the accompanying communication process between the different work areas involved are increasingly digital. The planning approach of Building Information Modeling (BIM) pursues precisely these goals, but essentially in the planning and operation of buildings. The article examines how the BIM approach can be transferred to factory planning.

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Meredith, Jack R. "Technical and management notes: Strategic planning for factory automation by the championing process." IEEE Transactions on Engineering Management EM-33, no. 4 (1986): 229–32. http://dx.doi.org/10.1109/tem.1986.6447684.

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Jin, Xin, Jian Su, and Chang Hai Yang. "Reach on the Application of Digital Factory Technology in Process Planning and Line Teaching Field of Automobile Manufacture." Advanced Materials Research 655-657 (January 2013): 1662–65. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.1662.

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How to quickly improve the production level and market supply capacity, how to decrease the production time to prepare are the key issues to Automobile manufacturing enterprises. Digital factory provides a good solution to this critical problem. This article describes the use of the benefits of digital factory technology and put forward how to use digital factory technology in the automobile manufacturing process planning and production line teaching.

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Liao, Fayi, Zhi Qiu, and Chuanqing Pang. "Research on Path Planning of Handling Robot in Chinese Medicine Factory." Frontiers in Science and Engineering 3, no. 11 (2023): 62–71. http://dx.doi.org/10.54691/fse.v3i11.5711.

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The path planning of handling robot in Chinese medicine factory is the key problem to improve production efficiency and reduce labor cost. In view of the complex layout characteristics in the handling process of Chinese medicine plant, this paper studies and improves the existing path planning algorithm. Firstly, through the analysis of the production environment of the Chinese medicine factory, a suitable map model was established. Then, combined with the operation environment of the handling robot in the Chinese medicine factory, the handling robot has A large number of nodes and many kinds of paths. The improved A* algorithm is used to plan the moving path of the robot. The effectiveness and practicability of the proposed path planning algorithm are verified by Matlab simulation test. Finally, the path conflict problem is solved.

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Watanapa, Anucha, and Wisitsree Wiyaratn. "Systematic Layout Planning to Assist Plant Layout: Case Study Pulley Factory." Applied Mechanics and Materials 110-116 (October 2011): 3952–56. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.3952.

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In this study, the application of a systematic plant layout planning (SLP) to assist the optimum design of process areas and locations is proposed. The number of machines and space requirement in pulley factory is determined. The operation process chart, flow of material and activity relationship chart have been investigated. The relationships between machines, operation sections and material flow are used to determine the suitable position of each activity. The SLP method has been employed to design the two alternative plant layouts and compare the performances between new layout and present layout in term of material flow. The new plant layout is modified by moving a disassembly and surface finish that significantly decrease the distance of material flow, so it is effective increasing production.

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Burggräf, P., M. Dannapfel, D. Schneidermann, and M. Ebade Esfahani. "Paradigmenwechsel im Fabrikplanungsdatenmanagement*/Object attribution for factory information models." wt Werkstattstechnik online 109, no. 04 (2019): 262–69. http://dx.doi.org/10.37544/1436-4980-2019-04-60.

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Die Planungsmethode des Building Information Modeling (BIM) findet vermehrt in Bauprojekten Anwendung. Bei der Fabrikplanung wird die Produktionsplanung jedoch oftmals nicht integriert mit der Gebäudeplanung geplant. Dies führt häufig zu Kostensteigerungen und Zeitverzögerungen aufgrund intransparenter Informationen und Abstimmungsschwierigkeiten im Planungsprozess. Dieser Beitrag zeigt Anforderungen an eine integrierte Produktions- und Gebäudeplanung im Sinne eines Fabrikinformationsmodells und leitet entsprechende Handlungsempfehlungen ab. &nbsp; The planning method of Building Information Modeling (BIM) is being increasingly used in construction projects. In factory planning, however, production system and buildings are often not planned in an integrated way. This often leads to cost increases and time delays due to information and coordination problems in the planning process. This article shows what integrated production and building planning requires in terms of a factory information model, deriving appropriate recommendations for action.

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Hoffmann, Max, Tobias Meisen, Daniel Schilberg, and Sabina Jeschke. "A Modular Factory Planning Approach Based on Vertical Integration of the Information Flow." Applied Mechanics and Materials 457-458 (October 2013): 1673–77. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.1673.

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The increasing complexity of products and consumer interests is facing more and more challenges to production planning. An innovative approach, which facilitates efficient planning, is represented by a model-based approach using the concept of the Digital Factory. In order to realize the vision of virtual production, modular solutions like simulations or optimization tools are merged into a holistic model that provides a digital mapping of the entire production process. In this work, a framework is described, which is capable to integrate planning modules by using an integrative information model. Based on intelligence approaches, multiple data is linked to reach a vertical integration of the information flow. These cross-linked data structures facilitate a consolidation of data from different levels of the production monitoring and management layers. The provided information is used to establish decision support systems, which enable an entirely holistic factory planning. The advantages of the approach are demonstrated by a process chain formation use case.

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Weidig, Christian, and Nicole Menck. "VR Enhanced Scenario Technique Supporting the Early Phases of Factory Planning." Advanced Materials Research 769 (September 2013): 343–49. http://dx.doi.org/10.4028/www.scientific.net/amr.769.343.

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Industrial companies have to face fast changing markets and increasing customer demands regarding individual configuration of products. Within this turbulent environment initially defined planning circumstances and assumptions are no longer reliable over the whole factory life-cycle. As one approach to react on such uncertainties, flexible production planning is considered. Factories should be able to adapt according to changing demands and suit to even unforeseen constraints. To allow such flexibility, the factory planning process must be executed with special attention on the early phases. While setting up the key objectives and establishing the project basis, a focus on flexibility has to be mandatory. The constraints on which planning bear on need to be defined, but also their adaptation over the factory life-cycle must be considered. To overcome this dilemma of required level of detail but concurrent uncertain future estimations, scenario technique is proposed as a method in strategic company management. This paper deals with the extension of the scenario technique to be applicable during factory planning as one operative method in the early phases of ‘preparation’ and ‘structure planning’. By using immersive Virtual Reality (VR) tools, a visualization component will be added. This will make future scenarios more graspable for multi-domain planning teams and serve as a mean of communication on which decision making can be set up.

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Lismawati. "FACTORY OVERHEAD COST BUDGET." MORFAI JOURNAL 3, no. 2 (2023): 190–95. http://dx.doi.org/10.54443/morfai.v3i2.850.

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Every field of production activity must have a goal to be achieved by the company. Generally the main goal of a company is to get a large profit or profit. Every production activity requires production costs because production costs are aimed at obtaining a higher economic value of the product. Therefore, each company needs raw material costs, direct labor costs and factory overhead costs. Raw material costs, direct labor costs and factory overhead costs are very important because they are one of the techniques for implementing policies on product loading. Is part of the planning process to determine actions for production activities in the future. Provides information to determine actions for production activities.

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S.K., Singh, and Mohanty A.M. "A Survey of Automated Process Planning Approaches in Machining." International Journal of Engineering and Management Research 8, no. 6 (2018): 81–88. https://doi.org/10.5281/zenodo.3358475.

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Global industrial trend is shifting towards next industrial revolution Industry 4.0. It is becoming increasingly important for modern manufacturing industries to develop a Computer Integrated Manufacturing (CIM) system by integrating the various operational and information processing functions in design and manufacturing. In spite of being active in research for almost four decades, it is clear that new functionalities are needed to integrate and realize a completely optimal process planning which can be fully compliant towards Smart Factory. In order to develop a CIM system, Computer Aided Process Planning (CAPP) plays a key role and therefore it has been the focus of many researchers. In order to gain insight into the current state-ofthe-art of CAPP methodologies, 96 research papers have been reviewed. Subsequent sections discuss the different CAPP approaches adopted by researchers to automate different process planning tasks. This paper aims at addressing the key approaches involved and future directions towards Smart Manufacturing.

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Sucahyo, Dito Samudera, and Rusindiyanto Rusindiyanto. "Redesign Of Machine Layout Using Systematic Layout Planning Method." Journal La Multiapp 5, no. 6 (2024): 910–22. https://doi.org/10.37899/journallamultiapp.v5i6.1701.

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Optimizing the production process is one of the things that needs to be considered in a factory. Machines play an important role in the production process because they function as the main tool in the production process. Rearrangement is carried out to obtain the smallest distance in moving raw materials in the production process. By rearranging the machine using the systematic layout planning method. The latest distance value was obtained at 60,865, which was originally 63,905. Therefore, making a machine layout can be done using the proposed layout.

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Erlach, Klaus, Marc-André Berchtold, and Christian Kaucher. "Die Matrix der vier Limitationstypen in der Fabrikplanung." Zeitschrift für wirtschaftlichen Fabrikbetrieb 119, no. 6 (2024): 396–400. http://dx.doi.org/10.1515/zwf-2024-1081.

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Abstract In the course of a factory planning process, various limitations occur that can influence a factory concept. These are often summarized under the terms ‘constraints’, ‘limitations’, ‘restrictions’, and ‘requirements’ without a clear definition, but they are by no means synonyms. This article makes a classification into the four types: ‘strategic conditions’, ‘constraints’, ‘equipment restrictions’, and ‘building and site restrictions’. The limitation types are differentiated according to their character – material and immaterial – and their origin – intrinsic and extrinsic. This distinction not only serves to clarify the understanding of the terms, but also to integrate them into the planning process.

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Kafi, Ahmad, and Budi Harjanto. "Perencanaan Pembelajaran Berbasis Teaching Factory pada Kompetensi Keahlian Teknik Pemesinan di SMK Bhinneka Karya Surakarta." NOZEL Jurnal Pendidikan Teknik Mesin 6, no. 1 (2024): 49. http://dx.doi.org/10.20961/nozel.v6i1.84044.

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This research aims to describe the teaching factory planning process, the use of the teaching factory application, and its assessment to improve student competency at Bhinneka Karya Surakarta Vocational School. The Teaching Factory planning design was carried out based on the results of observations and analysis at Bhinneka Karya Vocational School, Surakarta. In-depth interview techniques, observation and documentation were used to collect data. Interactive models play a role in analyzing data and procedures starting with data collection, reduction, presentation and verification of conclusions. Research findings show that the implementation of teaching factory-based learning in the context of developing student competency begins with planning, implementation of learning, production/service activities, industrial collaboration, impacts and obstacles faced. In planning the teaching factory, utilizing strategies to realize change, the material in class, titles and job sheets are adjusted to existing standards in the industry, educators adapt the practices carried out by students so that they are equipped to deliver quality material that is driven throughout the day, the talents that they will carry out. Through teaching factories, student competence can be improved with various learning procedures that have been established in the curriculum and implemented for vocational school students.

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Preeti, Divyaparvathy Kumari, and Hitesh Meena. "Application of System Layout Planning (SLP) in Factory Layout Design." Journal of Progress in Civil Engineering 6, no. 11 (2024): 56–63. https://doi.org/10.53469/jpce.2024.06(11).08.

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In manufacturing setups characterized by low volume, high optionality, substantial work content, and reliance on trivial knowledge, small and medium-scale industries often lack a systematic approach when it comes to redesigning their existing manufacturing lines or launching new manufacturing process lines. Traditional approaches to plant layout design, while having served their purpose in the past, come with inherent limitations and challenges that may hinder the adaptability and competitiveness of manufacturing facilities in the United States. This white paper delves into the pivotal role of plant layout design in industrial settings for a manufacturing line that consists of 16 sub-assembly lines, explores the drawbacks associated with conventional methods, and advocates for the adoption of a scientific, data-driven approach, precisely, Systematic Layout Planning (SLP), to overcome these challenges and propel manufacturing into a more efficient and adaptable future.

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Luft, Angela, Sebastian Bremen, and Nils Luft. "A Cost/Benefit and Flexibility Evaluation Framework for Additive Technologies in Strategic Factory Planning." Processes 11, no. 7 (2023): 1968. http://dx.doi.org/10.3390/pr11071968.

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There is a growing demand for more flexibility in manufacturing to counter the volatility and unpredictability of the markets and provide more individualization for customers. However, the design and implementation of flexibility within manufacturing systems are costly and only economically viable if applicable to actual demand fluctuations. To this end, companies are considering additive manufacturing (AM) to make production more flexible. This paper develops a conceptual model for the impact quantification of AM on volume and mix flexibility within production systems in the early stages of the factory-planning process. Together with the model, an application guideline is presented to help planners with the flexibility quantification and the factory design process. Following the development of the model and guideline, a case study is presented to indicate the potential impact additive technologies can have on manufacturing flexibility Within the case study, various scenarios with different production system configurations and production programs are analyzed, and the impact of the additive technologies on volume and mix flexibility is calculated. This work will allow factory planners to determine the potential impacts of AM on manufacturing flexibility in an early planning stage and design their production systems accordingly.

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Ki, Injong, Hasup Song, Jihyeok Ryu, and Jongpil Jeong. "Production Improvement Rate with Time Series Data on Standard Time at Manufacturing Sites." Applied Sciences 13, no. 19 (2023): 10937. http://dx.doi.org/10.3390/app131910937.

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Amid the changes brought about by the 4th Industrial Revolution, numerous studies have been undertaken to develop smart factories, with a strong emphasis on knowledge-based manufacturing through smart factory construction. Advances in manufacturing data collection, fusion, and mining technologies have significantly bolstered the utilization of knowledge-based manufacturing. Data mining technology is widely employed for facility maintenance and failure prediction. Smart factory operations are pursuing automation and autonomization. Automation of production planning is also essential to achieve automation and autonomy in factory operations, from planning to execution. With the advancement of data mining technology, it is possible to automate production planning for the production planning and prediction of future production through information based on current conditions based on the past. The baseline information generated based on the current situation is suitable for automating short-term operational planning. If we generate time series reference information based on data from the past to the present, we can also automate long-term operation planning. By measuring the results of productivity improvements in mass-produced products from the past to the present and extrapolating them to future products, time series baseline information on production time is generated. If the baseline information is used for long-term planning, it can be used to predict future production capacity and facility shortages. This study presents a methodology and utilization method for calculating the rate of change in production time, which can be applied to production plan prediction and equipment investment capacity forecasting in future factory operations, using historical time series production time data.

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Chryssolouris, G., D. Mavrikios, N. Papakostas, D. Mourtzis, G. Michalos, and K. Georgoulias. "Digital manufacturing: History, perspectives, and outlook." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 5 (2009): 451–62. http://dx.doi.org/10.1243/09544054jem1241.

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Digital manufacturing has been considered, over the last decade, as a highly promising set of technologies for reducing product development times and cost as well as for addressing the need for customization, increased product quality, and faster response to the market. This paper describes the evolution of information technology systems in manufacturing, outlining their characteristics and the challenges to be addressed in the future. Together with the digital manufacturing and factory concepts, the technologies considered in this paper include computer-aided design, engineering, process planning and manufacturing, product data and life-cycle management, simulation and virtual reality, automation, process control, shopfloor scheduling, decision support, decision making, manufacturing resource planning, enterprise resource planning, logistics, supply chain management, and e-commerce systems. These technologies are discussed in the context of the digital factory and manufacturing concepts.

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Rehse, Jana-Rebecca, Sharam Dadashnia, and Peter Fettke. "Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory." it - Information Technology 60, no. 3 (2018): 133–41. http://dx.doi.org/10.1515/itit-2018-0006.

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Abstract The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.

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Wahyuni, Wahyuni, Muhammad Latiful Fatih, Raissa Muthia Syahrani Hsb, Sakina Sakina, and Suhairi Suhairi. "Analisis Studi Kelayakan Bisnis Dalam Aspek Produksi." VISA: Journal of Vision and Ideas 2, no. 1 (2022): 126–34. http://dx.doi.org/10.47467/visa.v2i1.960.

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 This article aims to determine the feasibility of a business in Production analysis. In this case the author uses a business feasibility analysis through the production aspect, which means the activities that arise when an idea in a planned business has shown opportunities and illustrates the advantages in terms of marketing. The problem of the production process and the operation process consists of the selection of production strategies, product selection and planning, quality planning, technology selection, production capacity planning, factory layout planning, layout planning, production quantity planning, inventory management and product quality control. Keywords: Business Feasibility Study, Production, Production Aspects,

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Wahyuni, Wahyuni, Muhammad Latiful Fatih, Raissa Muthia Syahrani Hsb, Sakina Sakina, and Suhairi Suhairi. "Analisis Studi Kelayakan Bisnis Dalam Aspek Produksi." VISA: Journal of Vision and Ideas 2, no. 2 (2022): 126–34. http://dx.doi.org/10.47467/visa.v2i2.960.

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 This article aims to determine the feasibility of a business in Production analysis. In this case the author uses a business feasibility analysis through the production aspect, which means the activities that arise when an idea in a planned business has shown opportunities and illustrates the advantages in terms of marketing. The problem of the production process and the operation process consists of the selection of production strategies, product selection and planning, quality planning, technology selection, production capacity planning, factory layout planning, layout planning, production quantity planning, inventory management and product quality control. Keywords: Business Feasibility Study, Production, Production Aspects,

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Perić, Ana. "The role of local governance in the process of brownfield regeneration: European planning practice." SAJ - Serbian Architectural Journal 7, no. 3 (2015): 263–84. http://dx.doi.org/10.5937/saj1503263p.

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Because a large number of participants with various interests in the process of brownfield regeneration increase the complexity of the process itself, it is interesting to observe the nature of their collaboration. The focus of this paper is on the role of the local authorities as one of the key stakeholders responsible for the success of brownfield regeneration. Their position and the instruments they use in such a process can be elucidated by observing the organisation of the planning process, the negotiation and decision-making procedures, and the means of conflict resolution. Two European case studies on brownfield regeneration form the empirical research scope of this paper: A former cable and wire factory in Vienna and a former Roma settlement in Budapest. The paper provides an insight into possibilities for a redefinition of planning culture through innovative and proactive planning approaches to brownfield regeneration.

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Lind, Andreas, Veeresh Elango, Lars Hanson, et al. "Virtual-Simulation-Based Multi-Objective Optimization of an Assembly Station in a Battery Production Factory." Systems 11, no. 8 (2023): 395. http://dx.doi.org/10.3390/systems11080395.

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The planning and design process of manufacturing factory layouts is commonly performed using digital tools, enabling engineers to define and test proposals in virtual environments before implementing them physically. However, this approach often relies on the experience of the engineers involved and input from various cross-disciplinary functions, leading to a time-consuming and subjective process with a high risk of human error. To address these challenges, new tools and methods are needed. The Industry 5.0 initiative aims to further automate and assist human tasks, reinforcing the human-centric perspective when making decisions that influence production environments and working conditions. This includes improving the layout planning process by making it more objective, efficient, and capable of considering multiple objectives simultaneously. This research presents a demonstrator solution for layout planning using digital support, incorporating a virtual multi-objective optimization approach to consider safety regulations, area boundaries, workers’ well-being, and walking distance. The demonstrator provides a cross-disciplinary and transparent approach to layout planning for an assembly station in the context of battery production. The demonstrator solution illustrates how layout planning can become a cross-disciplinary and transparent activity while being automated to a higher degree, providing results that support decision-making and balance cross-disciplinary requirements.

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الخفاجي, واثق حياوي لايذ. "Estimate Model of Sales Forecast By Using Goal programming Method ( Case Study In Forat Factory to Pure Water)." University of Thi-Qar Journal of Science 3, no. 4 (2013): 89–90. http://dx.doi.org/10.32792/utq/utjsci/v3i4.551.

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The sales forecast lead to improve planning process in any industrial or service organization, especially after use quantity methods in forecast process, the organization can estimate profit and production costs from through forecast process. The research includes using goal programming method to find regression parameters and compared the results,which obtained with regression classic methods , and use predication values in sales forecast model for Forat factory , which product pure water with two types bottlefuls once size ( 0.5 )litter and other size ( 1.5 ) litter after addition constrains and goals factory management . The model solve by goal programming method with aid of computer simulation program (Win QSB), theresults explain effect sales final values with constrains and goals factory management.

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Di Mari, Giuliana, and Emilia Garda. "The Olivetti of Zanuso among project, process, and product." VITRUVIO - International Journal of Architectural Technology and Sustainability 8 (May 11, 2023): 46–55. http://dx.doi.org/10.4995/vitruvio-ijats.2023.18586.

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   During the years of post-war reconstruction in Italy, the project represented an instrument of revenge on the ruins inherited from the war and industry seemed to be the answer to the needs of a society that was rebuilding itself. The bond between project and industry thus spreads to all sectors of artistic production and the common thread is the use of words borrowed from the world of industry, thus raising the phenomenon of industrialisation. Olivetti’s experience is placed in this scenario, characterised by his interest beyond the factory, aimed at architectural, urban planning, cultural, publishing, and political issues. The Olivetti ideal focuses on aspects ranging from the typewriter to the city. The best architects work for Olivetti, and among them is Marco Zanuso. The factory is the topos of the project, in which theories of building industrialisation are synthesised. Zanuso experiments with the material’s potential to address issues related to the factory; in the reinforced concrete, he discovers the possibility of rationalising the composition process. Thus, the structure finds the perfect balance between technique and expressive language, generating space, light, form, and function. The beam-pillar system, an ideal synthesis of the architecture for Olivetti in Argentina and Brazil, discloses the capacity to conceive space as a single entity, in which the recognisability of the construction system becomes the identifying key of the factory itself.  

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Di Mari, Giuliana, and Emilia Garda. "The Olivetti of Zanuso among project, process, and product." VITRUVIO - International Journal of Architectural Technology and Sustainability 8 (May 11, 2023): 46–55. http://dx.doi.org/10.4995/vitruvioijats.2023.18586.

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   During the years of post-war reconstruction in Italy, the project represented an instrument of revenge on the ruins inherited from the war and industry seemed to be the answer to the needs of a society that was rebuilding itself. The bond between project and industry thus spreads to all sectors of artistic production and the common thread is the use of words borrowed from the world of industry, thus raising the phenomenon of industrialisation. Olivetti’s experience is placed in this scenario, characterised by his interest beyond the factory, aimed at architectural, urban planning, cultural, publishing, and political issues. The Olivetti ideal focuses on aspects ranging from the typewriter to the city. The best architects work for Olivetti, and among them is Marco Zanuso. The factory is the topos of the project, in which theories of building industrialisation are synthesised. Zanuso experiments with the material’s potential to address issues related to the factory; in the reinforced concrete, he discovers the possibility of rationalising the composition process. Thus, the structure finds the perfect balance between technique and expressive language, generating space, light, form, and function. The beam-pillar system, an ideal synthesis of the architecture for Olivetti in Argentina and Brazil, discloses the capacity to conceive space as a single entity, in which the recognisability of the construction system becomes the identifying key of the factory itself.  

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Luft, Angela, Nils Luft, and Kristian Arntz. "A Basic Description Logic for Service-Oriented Architecture in Factory Planning and Operational Control in the Age of Industry 4.0." Applied Sciences 13, no. 13 (2023): 7610. http://dx.doi.org/10.3390/app13137610.

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Manufacturing companies across multiple industries face an increasingly dynamic and unpredictable environment. This development can be seen on both the market and supply side. To respond to these challenges, manufacturing companies must implement smart manufacturing systems and become more flexible and agile. The flexibility in operational planning regarding the scheduling and sequencing of customer orders needs to be increased and new structures must be implemented in manufacturing systems’ fundamental design as they constitute much of the operational flexibility available. To this end, smart and more flexible solutions for production planning and control (PPC) are developed. However, scheduling or sequencing is often only considered isolated in a predefined stable environment. Moreover, their orientation on the fundamental logic of the existing IT solutions and their applicability in a dynamic environment is limited. This paper presents a conceptual model for a task-based description logic that can be applied to factory planning, technology planning, and operational control. By using service-oriented architectures, the goal is to generate smart manufacturing systems. The logic is designed to allow for easy and automated maintenance. It is compatible with the existing resource and process allocation logic across operational and strategic factory and production planning.

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Wang, Yi Chi, Toly Chen, and Kun Tai Li. "Enhancing the Mid-Term Competitiveness of a Semiconductor Manufacturing Factory through Collaborative Yield Learning Planning." Materials Science Forum 594 (August 2008): 475–80. http://dx.doi.org/10.4028/www.scientific.net/msf.594.475.

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Product yield is undoubtedly the most critical factor to the competitiveness of a semiconductor manufacturing factory. Therefore, evaluating the competitiveness of a semiconductor manufacturing factory based on the yields of all its products is a reasonable idea. For this purpose, a systematic procedure is established to evaluate the mid-term competitiveness of a semiconductor manufacturing factory in which the yield learning processes of all its products are considered simultaneously. After that, for products that are not competitive enough but have strong demand, a correction mechanism is designed to enhance their competitiveness at the expense of the other products that are competitive but have no market. The whole process is therefore called collaborative yield learning planning. To evaluate the advantages or disadvantages of the proposed methodology, it has been applied to the data collected from a semiconductor manufacturing factory. Experimental results supported the practicability and usefulness of the proposed collaborative yield learning planning approach.

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Božek, Pavol, Marek Kňažík, and Vladimír Štollmann. "Modern Planning and Control and Virtual Verification of Process Continuity of a New Production Line." Applied Mechanics and Materials 708 (December 2014): 167–72. http://dx.doi.org/10.4028/www.scientific.net/amm.708.167.

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The paper describes one practical implementation of the Digital Factory concept – design of a new production line using modern planning method of virtual testing and control of processes. The project covered graphical facility design, detailed design of operations and material flow simulation. This case study shows facility process planning, commission and in the end finding the optimization rules and corrective actions to increase existing casting line throughput. All phases of the project were carried out using simulation software, duration of the project was 6 months. Simulation software WITNESS has been used for material flow simulation.

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Journal articles on the topic 'Factory Planning Process'

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