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Journal articles on the topic 'Production planning and control (PPC)'

Author: Grafiati

Published: 8 September 2021

Last updated: 29 July 2025

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1

Bonney, Maurice. "Reflections on production planning and control (PPC)." Gestão & Produção 7, no. 3 (2000): 181–207. http://dx.doi.org/10.1590/s0104-530x2000000300002.

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The paper examines the current state of Production Planning and Control (PPC), identifies some technical and systems changes that have occurred over recent years and links these with the requirements being placed on companies by the market. PPC is being asked to respond effectively to these internal and external changes by being more dynamic and providing better control of resources and delivery performance. Some of the requirements to be satisfied by the new PPC systems are identified. To meet these requirements it is suggested that better understanding is required of how different factors af

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Héctor, Cañas, Mula Josefa, Campuzano-Bolarín Francisco, and Poler Raúl. "A conceptual framework for smart production planning and control in Industry 4.0." Computers & Industrial Engineering 173, no. 2022 (2022): 108659. https://doi.org/10.1016/j.cie.2022.108659.

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This article aims to introduce the challenge (i.e., integration of new collaborative models and tools) posed by the automation and collaboration of industrial processes in Industry 4.0 (I4.0) smart factories. Small- and mediumsized enterprises (SMEs) are particularly confronted with new technological and organisational changes, but a conceptual framework for production planning and control (PPC) systems in the I4.0 context is lacking. The main contributions of this article are to: (i) identify the functions making up traditional PPC and smart production planning and control in I4.0 (SPPC 4.0);

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Herrmann, Jan-Phillip, Sven Tackenberg, Elio Padoano, and Thilo Gamber. "Approaches of production planning and control under industry 4.0: A literature review." Journal of Industrial Engineering and Management 15, no. 1 (2022): 4. http://dx.doi.org/10.3926/jiem.3582.

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Purpose: Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This research aims to identify and classify current Industry 4.0 approaches for planning and controlling production processes and to reveal researched and unexplored areas of the model.Design/methodology/approach: In an exploratory literature review, we review and classify 48 publications on a full-text basis with the Aachen PPC model's t

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De Simone, Valentina, Valentina Di Pasquale, Maria Elena Nenni, and Salvatore Miranda. "Sustainable Production Planning and Control in Manufacturing Contexts: A Bibliometric Review." Sustainability 15, no. 18 (2023): 13701. http://dx.doi.org/10.3390/su151813701.

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Production planning and control (PPC), responsible for all the activities that keep production running regularly, plays an essential role in the transition to more sustainable manufacturing systems. PPC decision-making processes need to be driven by sustainable principles even if this makes them more effortful and complex from the strategic to operative level. This study aims to review the scientific literature relating to sustainable PPC. A bibliometric analysis of 437 papers published on the Scopus database was performed to identify the most relevant articles, authors, and journals and to pr

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Romsdal, Anita, Jan Ola Strandhagen, and Heidi Carin Dreyer. "Can Differentiated Production Planning and Control enable both Responsiveness and Efficiency in Food Production?" International Journal on Food System Dynamics 5, no. 1 (2014): 34–43. https://doi.org/10.18461/ijfsd.v5i1.514.

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This paper addresses the complex production planning and control (PPC) challenges in food supply chains. The study illustrates how food producers' traditional make-to-stock (MTS) approach is not well suited to meet the trends of increasing product variety, higher demand uncertainty, increasing sales of fresh food products and more demanding customers. The paper proposes a framework for differentiated PPC that combines MTS with make-to-order (MTO). The framework matches products with the most appropriate PPC approaches and buffering techniques depending on market and product characteristics. Th

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Lima, Rui M. "Integrating Production Planning and Control Business Processes." International Journal of Productivity Management and Assessment Technologies 1, no. 4 (2012): 1–21. http://dx.doi.org/10.4018/ijpmat.2012100101.

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Organizations have production planning and control (PPC) processes supported by systems that execute, mainly, repetitive calculations. Based on these calculation results, decisions are taken by production managers. These decision processes make the connection between different levels of aggregation of information and could benefit from the increment of the level of automation. An increased level of application of business process modelling languages is proposed in order to contribute to increment the level of process automation and the detail of business analysis. Thus being, concepts of integ

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Ana, Esteso, Peidro David, Mula Josefa, and Díaz-Madroñero Manuel. "Reinforcement learning applied to production planning and control." International Journal of Production Research, no. 2022 (August 6, 2022): 1–18. https://doi.org/10.1080/00207543.2022.2104180.

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The objective of this paper is to examine the use and applications of reinforcement learning (RL) techniques in the production planning and control (PPC) field addressing the following PPC areas: facility resource planning, capacity planning, purchase and supply management, production scheduling and inventory management. The main RL characteristics, such as method, context, states, actions, reward and highlights, were analysed. The considered number of agents, applications and RL software tools, specifically, programming language, platforms, application programming interfaces and RL frameworks

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Oluyisola, Olumide Emmanuel, Fabio Sgarbossa, and Jan Ola Strandhagen. "Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications." Sustainability 12, no. 9 (2020): 3791. http://dx.doi.org/10.3390/su12093791.

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Many companies are struggling to manage their production systems due to increasing market uncertainty. While emerging ‘smart’ technologies such as the internet of things, machine learning, and cloud computing have been touted as having the potential to transform production management, the realities of their adoption and use have been much more challenging than anticipated. In this paper, we explore these challenges and present a conceptual model, a use-case matrix and a product–process framework for a smart production planning and control (smart PPC) system and illustrate the use of these arte

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Block, Christian, Friedrich Morlock, Thomas Dorka, and Bernd Kuhlenkötter. "A Human Centered Multi-Agent-System for Production Planning and Control." Applied Mechanics and Materials 840 (June 2016): 132–39. http://dx.doi.org/10.4028/www.scientific.net/amm.840.132.

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In consequence of Industrie 4.0, the application of new information and communication technologies is increasing. A central problem of industrial enterprises is the lack of any IT system which would provide required exercises concerning production planning and control (PPC). Therefore, several software systems are applied in manufacturing. Thus the demand arises to intelligently link the available and new IT systems in manufacturing. A multi-agent system offers a modeling concept for a planning support tool of PPC for the intelligent link of several systems and it increases the automation of p

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Hees, A., M. Wagner, S. Braunreuther, and G. Prof Reinhart. "Produktionsplanung für kundeninnovierte Produkte*/Production planning for innovated products." wt Werkstattstechnik online 106, no. 03 (2016): 146–51. http://dx.doi.org/10.37544/1436-4980-2016-03-50.

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Die Herstellung kundeninnovierter Produkte erfordert einen Paradigmenwechsel bei bekannten Verfahren der Produktionsplanung- und -steuerung (PPS). Im Fachbeitrag wird ausgehend von der Einordnung kundeninnovierter Produkte eine Vorgehensweise zur Kostenkalkulation und zur Termin- und Kapazitätsplanung sowie deren prototypische Umsetzung vorgestellt. &nbsp; The production of customer-innovated products requires a change of paradigm in production planning and control (PPC). This paper provides an insight into PPC requirements for customer-innovated products as well as methods for cost calcul

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De Simone, Valentina, Paola Farina, Valeria Fasulo, and Valentina Di Pasquale. "The Integration of Sustainable Standards in Production Planning and Control: A GRI-Based Framework Proposal." Sustainability 17, no. 14 (2025): 6446. https://doi.org/10.3390/su17146446.

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Sustainable manufacturing is gaining attention in the scientific literature. However, it remains unclear how to effectively incorporate it within Production Planning and Control (PPC) tasks. All the choices taken in terms of PPC impact sustainability, and sustainability managers and planners or managers involved in tasks, such as scheduling or inventory management, are not conscious of what this means or implies, above all, in terms of the sustainable performance indicators on which their actions can act. While several studies have addressed both PPC and sustainability, there is still limited

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Andrade, José Henrique de, Francisco Andrea Simões Braga, Luciano Campanini, Josadak Astorino Marçola, and Bruna Carvalho Nunes Rocha. "Production Planning and Control (PPC): production pointing system deployment, use and unfolding." Independent Journal of Management & Production 11, no. 5 (2020): 1551. http://dx.doi.org/10.14807/ijmp.v11i5.1299.

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The growing need for efficiency and effectiveness in production systems management has increased the importance of processes and activities related to Production Planning and Control (PPC). Several authors point out that the more dynamic, competitive market, with higher demands from consumers and the increasing insertion of technology to support decision making, make the need for robust management processes imperative. In line with this scenario, the present work aims to present the report of a process of implementation, use and the consequences of a production pointing system. To achieve the

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Wesendrup, Kevin, Bernd Hellingrath, and Zoi Nikolarakis. "A framework for conceptualizing integrated prescriptive maintenance and production planning and control models." Brazilian Journal of Operations & Production Management 21, no. 3 (2024): 2172. http://dx.doi.org/10.14488/bjopm.2172.2024.

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Goal: This study aims to support researchers and managers in conceptualising new integrated prescriptive maintenance (PxM) and production planning and control (PPC) models. Design / Methodology / Approach: We perform a systematic literature review based on Thomé et al. (2016) and analyse literary findings using qualitative content analysis and quantitative correlation analyses. Results: This work identifies 94 integrated PxM and PPC planning models and 47 outcomes, 16 decision variables and 34 environment entities. Based on the quantitative analyses of these components, we derive a normative f

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Wagner, Marcel, Tim Schleimer, Tobias Seeberger, and Gunther Reinhart. "Product-Quality Based Scheduling of Automated Food Processing." Advanced Materials Research 1018 (September 2014): 563–70. http://dx.doi.org/10.4028/www.scientific.net/amr.1018.563.

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Production Planning and Control (PPC) does not only play an important role in the classical field of production. Concerning a trend to more customer related products and a so called buyers market, also the not yet strongly automated businesses have to think about topics like PPC. By forming a new automated shop floor in a commercial kitchen for example, new optimization criteria in the PPC play a crucial role. Especially in the manner of scheduling jobs different constraints concerning the handled products come up. This paper demonstrates a possibility to extend the criteria of PPC with the su

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Tengku Nur Azila binti Raja Mamat, Nur Ain Arina binti Johan, Fatin Nurina binti Mohamad Khair, et al. "PRODUCTION PLANNING CONCEPTS FOR SMALL AND MEDIUM ENTERPRISES (SMES): A CASE STUDY IN A BAKERY COMPANY." International Journal of Industrial Management 16, no. 1 (2022): 25–30. http://dx.doi.org/10.15282/ijim.16.1.2022.9006.

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Production planning and control (PPC) is a branch of knowledge that commonly discusses the available concepts and methods for operation management. The knowledge and understanding of PPC concepts, together with proper implementation can assist an organization in fulfilling customer demands with minimum cost. Large organizations are exposed to PPC concepts due to the qualification of workers and the availability of training. However, for small and medium enterprises (SMEs), awareness and knowledge of PPC concepts are lacking. This study is carried out in an SME, a bakery company located in Sela

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Hees, A., K. Zellner, and G. Reinhart. "Produktionsplanung in RMS/Production Planning in RMS - System for Production Process Planning in Reconfigurable Manufacturing Systems (RMS)." wt Werkstattstechnik online 105, no. 04 (2015): 209–14. http://dx.doi.org/10.37544/1436-4980-2015-04-51.

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Zur Sicherung der Wettbewerbsfähigkeit in dynamischen Märkten müssen produzierende Unternehmen ihre Produktionssysteme in häufigen Intervallen anpassen. Ein Ansatz, diesen Herausforderungen zu begegnen, sind rekonfigurierbare Produktionssysteme (englisch: Reconfigurable Manufacturing Systems – RMS). Vorgestellt wird ein neuer Ansatz für die Produktionsplanung und -steuerung (PPS) in RMS – bestehend aus einem Datenmodell, einem Konfigurationsmanagement und einer Planungsmethode. &nbsp; Manufacturing companies have to adapt their manufacturing systems in frequent and short intervals to secur

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von Enzberg, Sebastian, Julian Weller, Pascal Pöhler, Arno Kühn, Michael Römer, and Roman Dumitrescu. "Künstliche Intelligenz in der Produktionsplanung und -steuerung." Zeitschrift für wirtschaftlichen Fabrikbetrieb 119, no. 5 (2024): 349–55. http://dx.doi.org/10.1515/zwf-2024-1065.

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Abstract Production planning and control (PPC) is a central element in the production system and represents a key element of the transformation towards Industry 4.0. Artificial intelligence (AI) is used to evaluate information and to model and optimize systems. The article gives a systematic overview of application potentials of AI in PPS and discusses the challenges on the way towards AI-based production planning and control.

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Dombrowski, U., Y. Dix, and P. Krenkel. "Industrie 4.0 in Produktionsplanung und -steuerung*/Benefits of Industrie 4.0 for Production Planning and Control – results of a quantitative analysis." wt Werkstattstechnik online 108, no. 04 (2018): 204–9. http://dx.doi.org/10.37544/1436-4980-2018-04-10.

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Die zunehmende Datenverfügbarkeit und -qualität im Kontext von Industrie 4.0 eröffnet der Produktionsplanung und -steuerung (PPS) vielversprechende Potentiale zur Effizienzsteigerung. In dem Beitrag werden auf Basis einer quantitativen Analyse die Auswirkungen einzelner Industrie 4.0-Elemente für die PPS vorgestellt. Der Beitrag schafft hierdurch so eine Orientierung bei der Auswahl von Industrie 4.0-Elementen, um die Planungsaktivitäten der PPS zielgerichtet zu unterstützen und die logistischen Zielgrößen zu verbessern. &nbsp; Data availability and quality has increased by Industrie 4.0,

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Krenczyk, Damian. "Automatic Generation Method of Simulation Model for Production Planning and Simulation Systems Integration." Advanced Materials Research 1036 (October 2014): 825–29. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.825.

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In the paper the method of integration of production planning and simulation systems has been presented. An automatic generation method of production systems models has been implemented to integrate the Production Order Verification System (SWZ) for multi-assortment, concurrent production planning) and Enterprise Dynamics simulation system. Submitted methodology allowed the direct generation of simulation models for production systems with the use of data obtained from PPC systems, regardless of the production system structure, flow topology of the production processes and the amount of resour

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Jeon, Su Min, and Gitae Kim. "A survey of simulation modeling techniques in production planning and control (PPC)." Production Planning & Control 27, no. 5 (2016): 360–77. http://dx.doi.org/10.1080/09537287.2015.1128010.

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Lindström, Veronica, Fredrik Persson, Arun Pravin Chennai Viswanathan, and Mahendran Rajendran. "Data quality issues in production planning and control – Linkages to smart PPC." Computers in Industry 147 (May 2023): 103871. http://dx.doi.org/10.1016/j.compind.2023.103871.

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Silva, Rafael Maciel, Lenita Duarte, and Macáliston Gonçalves Silva. "Analysis of production planning and control (PPC) through the approach of systems thinking." Brazilian Journal of Development 5, no. 11 (2019): 24182–98. http://dx.doi.org/10.34117/bjdv5n11-107.

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Denkena, B., and A. Georgiadis. "Simulationsbasierte PPS-Optimierung für Instandhaltungsunternehmen*/Simulation-based optimization of production planning and control in maintenance companies." wt Werkstattstechnik online 105, no. 04 (2015): 215–19. http://dx.doi.org/10.37544/1436-4980-2015-04-57.

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Die Produktionsplanung und -steuerung (PPS) steht bei der Instandhaltung komplexer Produkte vor der Herausforderung, mittelfristig Entscheidungen ohne detaillierte Kenntnis des Bauteilzustandes treffen zu müssen. Je nach Bauteildiagnose sind dann kurzfristig die Fertigungskapazitäten und Lagerbestände anzupassen. Die getroffenen Entscheidungen beeinflussen die Wirtschaftlichkeit des gesamten Instandhaltungsprozesses maßgeblich. Im Rahmen des Fachbeitrags wird eine simulationsbasierte Methode vorgestellt, um die PPS in der Instandhaltung mittels Ersatzteildisposition und Reihenfolgebildung zu o

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Lottermoser, A., C. Härdtlein, J. Schollerer, C. Richter, and G. Reinhart. "Mobile Ressourcen im dynamischen Produktionsumfeld*/Scheduling of mobile autonomous robot systems." wt Werkstattstechnik online 109, no. 04 (2019): 250–54. http://dx.doi.org/10.37544/1436-4980-2019-04-48.

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Durch die im Rahmen der Industrie 4.0 forcierte Entwicklung zu einer dynamischen, wandlungsfähigen und flexiblen Produktion ergeben sich vor allem für die Produktionsplanung und -steuerung (PPS) neue Herausforderungen. Neben einem robusten Produktionsablauf und dynamischen Einflüssen müssen in Zukunft neue Ressourcen bei der Auftragsplanung berücksichtigt werden. Die Einplanung mobiler Robotersysteme ruft zusätzliche Einflussfaktoren hervor, die PPS-seitig bewerkstelligt werden müssen. &nbsp; The development towards dynamic, versatile and flexible production systems in the context of Indus

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Lisica, Alan. "CAPACITY REQUIREMENTS PLANNING IN SME`S; A COMPUTER AIDED ENGINEERING APPROACH." Mašinstvo 15, no. 3 (2018): 141–52. https://doi.org/10.62456/jmem.2018.03.141.

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&lt;p style=&quot;text-align: justify;&quot;&gt;Production planning and control, as one of the managerial responsibilities in any production industry, have become increasingly complex during the last few decades particularly in the SME`s. Shortening of lead-time has been addressed as a major competitive edge. This paper presents the CAE approach to arriving at PPC decision in a SME`s for furniture production and shows software development for CRP using Microsoft Office Excell environment.&lt;/p&gt;

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Siregar, Zufri Hasrudy. "Penggunaan Metode Capacity Requirement Planning (CRP) Dengan Aplikasi Pom For Windows Dalam Perhitungan Kapasitas Produksi (Studi Kasus Industri Pengolahan Tahu XYZ)." Jurnal VORTEKS 1, no. 1 (2020): 20–29. http://dx.doi.org/10.54123/vorteks.v1i1.13.

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Kegiatan perencanaan dan pengendalian produksi. dalam sebuah perusahaan pada umumnya ditangani oleh Departemen PPC (Production Planning and Control, sering disingkat PPC). Setelah perencanaan produksi dibuat, hasilnya akan dimasukkan ke dalam kebutuhan berdasarkan waktu masing-masing jenis produk (individual products) perencanaan ini disebut jadwal induk produksi (master productions schedule) MPS. Proses selanjutnya dalam perencanaan produksi adalah perencanaan kapasitas produksi, Capacity Requirement Planning (CRP). CRP berfungsi mengukur, dan menyesuaikan tingkat kapasitas atau proses untuk

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Zäpfel, G., and H. Missbauer. "Production Planning and Control (PPC) systems including load-oriented order release — Problems and research perspectives." International Journal of Production Economics 30-31 (July 1993): 107–22. http://dx.doi.org/10.1016/0925-5273(93)90085-y.

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Fandel, Günter. "Analysis of production planning and control (PPC) systems as an efficient combination of information activities." OR Spektrum 15, no. 4 (1994): 217–24. http://dx.doi.org/10.1007/bf01719452.

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Gomes, Uiraquitan Tadeu, Plácido Rogério Pinheiro, and Rommel Dias Saraiva. "Dye Schedule Optimization: A Case Study in a Textile Industry." Applied Sciences 11, no. 14 (2021): 6467. http://dx.doi.org/10.3390/app11146467.

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In a demanding and globalized market, production management plays a fundamental role in the company’s reference. Proper management of the production area allows companies to obtain productivity gains, reducing operational costs and make contributions to face the competitiveness of their competitors. When defining its strategic objectives in a productive system, it is necessary to formulate plans to manage human resources and strategies based on requirements. In this context, planning, production, and control (PPC) is an excellent ally of the organizations. The adequate development of the activ

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Kück, M., J. Ehm, T. Hildebrandt, M. Prof Freitag, and E. M. Prof Frazzon. "Adaptive PPS durch simulationsbasierte Optimierung*/Adaptive PPC by simulation-based optimization." wt Werkstattstechnik online 107, no. 04 (2017): 288–92. http://dx.doi.org/10.37544/1436-4980-2017-04-92.

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Der Trend zur Fertigung individualisierter Produkte in kleinen Losgrößen erfordert hochflexible Produktionssysteme. Durch die damit verbundene Systemdynamik wird die Reihenfolgeplanung zu einem komplexen Planungsproblem. Der Beitrag beschreibt ein simulationsbasiertes Optimierungsverfahren, welches Echtzeitinformationen zur adaptiven Selektion geeigneter Prioritätsregeln verwendet. Das Potenzial des Ansatzes wird anhand eines Anwendungsfalls aus der Halbleiterindustrie demonstriert. &nbsp; The trend to manufacturing individualized products in small-scale series demands highly flexible prod

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Khoirunnisa, Evriza, Mona Foralisa Toyfur, and Betty Susanti. "Implementasi Last Planner System Pada Proyek di Palembang (Studi Kasus Proyek Rusunami Jakabaring)." Jurnal Rekayasa Sipil (JRS-Unand) 15, no. 1 (2019): 43. http://dx.doi.org/10.25077/jrs.15.1.43-56.2019.

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Saat ini sektor konstruksi mulai melakukan upaya untuk mengurangi waste sekaligus meningkatkan value dengan mengadopsi teori produksi pada industri manufaktur kepada industri konstruksi yang disebut lean construction (konstruksi ramping). Sistem pengendalian produksi (production control) dengan konsep konstruksi ramping merupakan salah satu sistem dalam perencanaan dan pengendalian jadwal pekerjaan. Komponen yang terdapat konsep konstruksi ramping tersebut adalah sistem the Last Planner (LPS). Last Planner System belum banyak digunakan dan mempunyai potensi yang baik karena merupakan bagian da

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Schmidt, Matthias, Janine Tatjana Maier, and Mark Grothkopp. "Eine bibliometrische Analyse/PPC and machine learning A bibliometric analysis." wt Werkstattstechnik online 110, no. 04 (2020): 220–25. http://dx.doi.org/10.37544/1436-4980-2020-04-54.

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Produzierende Unternehmen stehen in einem dynamischen Umfeld vor der Herausforderung eine zunehmende Datenmenge effizienter zu verarbeiten. In diesem Zusammenhang werden häufig Ansätze des maschinellen Lernens (ML) diskutiert. Der Beitrag stellt eine umfassende Aufarbeitung des Stands der Forschung bezogen auf den Einsatz von ML-Ansätzen in der Produktionsplanung und -steuerung (PPS) bereit. Daraus lässt sich der Forschungsbedarf in den einzelnen Aufgabengebieten der PPS ableiten. &nbsp; In a dynamic environment, manufacturing companies face the challenge of processing an increasing amount

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Chen, Ya Rong, Hong Ming Zhou, Zai Lin Guan, and Xin Yu Shao. "Model of Production Planning and Control with the Integration of WLC and TOC Mechanism." Advanced Materials Research 433-440 (January 2012): 2230–36. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2230.

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In the mixed-production context of make-to-stock (MTS) and make-to-order (MTO), the manufacturing system becomes more complex for comprehensive balance of multiple objectives, including resource utilization, work in process (WIP), on-time delivery and throughput. To deal with this complexity, a dynamic production plannning and control (PPC) model with the hybrid of workload control (WLC) and theory of constraint (TOC) is presented. While the proposed three-tiered hierarchy construction model is relatively similar to WLC model, but the way in which the workloads are controled has changed dramat

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Schäfer, Louis, Laura Burkhardt, Andreas Kuhnle, and Gisela Lanza. "Integriertes Produkt-Produktions-Codesign/Integrated product-production codesign." wt Werkstattstechnik online 111, no. 04 (2021): 201–5. http://dx.doi.org/10.37544/1436-4980-2021-04-23.

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Eine steigende Variantenvielfalt, hohe Marktvolatilität und heterogene Prozesslandschaften betonen die Bedeutung einer simultanen Betrachtung von Produkt- und Produktionssystem für produzierende Unternehmen. Vor dem Hintergrund einer wandlungsfähigen Produktionsplanung und -steuerung stellt dieser Beitrag eine Methodik zur Implementierung eines integrierten Produkt-Produktions-Codesigns vor. Bestandteile sind ein ganzheitliches Änderungsmanagement und die Identifikation von Lösungsmustern. &nbsp; An increasing number of variants, high market volatility, and heterogeneous process landscapes

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Donhauser, Toni, Udo Endter, Torben Schmidt, Lukas Baier, Peter Schuderer, and Jörg Franke. "Echtzeitabbild der Produktion/Real-time image of production. Material flow simulation during operation." wt Werkstattstechnik online 110, no. 04 (2020): 214–19. http://dx.doi.org/10.37544/1436-4980-2020-04-48.

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Systeme zur Produktionsplanung und -steuerung (PPS) können zeitdynamische Wechselwirkungen nur bedingt berücksichtigen. Dies wird erst durch zusätzliche Simulationsfunktionen in Form einer simulationsgestützten Optimierung möglich und führt so zu effizienteren und besser umsetzbaren Plänen. Der erforderliche produktionssynchrone digitale Zwilling entsteht durch geeignete Anbindung des Simulationsmodells an betriebliche Automatisierungs- und Erfassungssysteme. Diese Verknüpfung wird hier im Detail erläutert. &nbsp; Systems for production planning and control (PPC) can only consider time-dyn

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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

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Kühn, Mathias, Michael Völker, and Thorsten Schmidt. "An Algorithm for Efficient Generation of Customized Priority Rules for Production Control in Project Manufacturing with Stochastic Job Processing Times." Algorithms 13, no. 12 (2020): 337. http://dx.doi.org/10.3390/a13120337.

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Project Planning and Control (PPC) problems with stochastic job processing times belong to the problem class of Stochastic Resource-Constrained Multi-Project Scheduling Problems (SRCMPSP). A practical example of this problem class is the industrial domain of customer-specific assembly of complex products. PPC approaches have to compensate stochastic influences and achieve high objective fulfillment. This paper presents an efficient simulation-based optimization approach to generate Combined Priority Rules (CPRs) for determining the next job in short-term production control. The objective is to

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Hook, Justin, Peter Nyhuis, and Lars Nielsen. "Einfluss des Multiprojektmanagements auf Fabrikziele/Influence of multi-project management on factory goals – Developing a process model for planning and controlling multi-project environments in factories." wt Werkstattstechnik online 112, no. 04 (2022): 216–20. http://dx.doi.org/10.37544/1436-4980-2022-04-16.

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Unternehmen initiieren regelmäßig Projekte, um durch ständige Anpassung und Veränderung ihre Wettbewerbsfähigkeit zu sichern. Zur effizienten Planung und Steuerung der Projekte werden Modelle des Multiprojektmanagements (MPM) eingesetzt. In diesem Beitrag werden Abhängigkeiten zwischen Wirkgrößen solcher Modelle in Form von Stell- und Regelgrößen untersucht, um das MPM um ein Wirkmodell nach dem Vorbild der Produktionsplanung und -steuerung (PPS) erweitern zu können. &nbsp; Companies regularly initiate projects to ensure their competitiveness through constant adaptation and change. Multi-p

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Kreimeier, D., E. Müller, F. Morlock, et al. "Die synchrone Produktion*/Synchronous manufacturing - An approach for semi-autonomous production planning and control and human-based decision support." wt Werkstattstechnik online 105, no. 04 (2015): 204–8. http://dx.doi.org/10.37544/1436-4980-2015-04-46.

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Kurzfristige sowie ungeplante Änderungen – wie Auftragsschwankungen, Maschinenausfälle oder Krankheitstage der Mitarbeiter – beeinflussen die Produktionsplanung und -steuerung (PPS) von Industriefirmen. Trends wie Globalisierung und erhöhter Marktdruck verstärken diese Probleme. Zur Komplexitätsbewältigung bei der Entscheidungsfindung zur Fertigungssteuerung kommen in der Produktion Werkzeuge der „Digitalen Fabrik“, beispielsweise Simulationsprogramme, oder IT (Informationstechnologie)-Lösungen, wie Manufacturing Execution Systems (MES), zum Einsatz. Eine Verknüpfung dieser Bereiche würde eine

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Luczak, Holger, Harald Nicolai, and Alexandra Kees. "PPC-systems: Re-engineering or replacement? Venus: A fuzzy-decision-tool helps to evaluate outdated production planning and control systems." Production Planning & Control 9, no. 5 (1998): 448–56. http://dx.doi.org/10.1080/095372898233920.

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Entringer, Tulio Cremonini, and Ailton Da Silva Ferreira. "A reference model in BPMN for conceptual modelling of master planning schedule." Independent Journal of Management & Production 11, no. 2 (2020): 394. http://dx.doi.org/10.14807/ijmp.v11i2.1067.

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Companies are progressively investing in practices aimed at improving the quality of management, with the main purpose of enabling them to operate competitively in the present market. For this, it is necessary to document the activities and information of the existing business processes in the organization, aiming at reducing time and cost in the elaboration of the particular model. In this context, the objective of this work is to develop a reference model of the Master Production Schedule (MPS) processes, an important module of production planning and control (PPC). The research methodology

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Tanko, Anthony Lawal. "Effect of Teamwork on Organisational Performance of Production Company in Makurdi, Nigeria." International Journal of Research and Innovation in Social Science VIII, IIIS (2024): 1048–59. http://dx.doi.org/10.47772/ijriss.2024.803072s.

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This article examined the effect of teamwork on organisational performance of Production Company in Makurdi, Nigeria. The aim of the study is to determine the impact of teamwork on organisational performance of Production Company in Makurdi, Nigeria. The research design employed for this study is the sample survey research design. The study focused on Production Company in Makurdi, Nigeria which has a population of (25). The Taro Yamane formula was used to calculate the sample size, resulting in a sample size of (24). First-hand information was used for the study. The main data collection tool

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Mahesh, Mallampati, Srivinivas Kolla, and Krishna. M. Tirumala. "Design Process to Reduce Production Cycle Time in Product Development." International Journal of Artificial Intelligence (IJ-AI) 7, no. 3 (2018): 125–29. https://doi.org/10.11591/ijai.v7.i3.pp125-129.

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In today’s business climate, the old adage “time is money” has been expanded to mean that time is competitive weapon. Today customer’s demands are quick delivery and good quality at reasonable price. When entering the global market the companies encounter several difficulties, the most important one being excessive time for new product development. Thus to perform in a global market, short lead times are essential to provide customer satisfaction. Lead time in manufacturer point of view is the time elapse between placing of an order and the receipt of goods ordered. The

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bin Masod, Muhammad Yusuf, and Siti Farhana Zakaria. "Artificial Intelligence in the Printing Industry: A Systematic Review of Industrial Applications, Challenges and Benefits." International Journal of Research and Innovation in Social Science VIII, no. IX (2024): 1713–32. http://dx.doi.org/10.47772/ijriss.2024.8090141.

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The commercial printing industry is undergoing a significant transformation with the integration of Artificial Intelligence (AI), yet there is limited literature on its specific applications and impact. This systematic review addresses two critical research questions: What are the key industrial domains where AI is applied in the printing industry, and what are the associated benefits and challenges? Our study identifies the primary AI applications across Production Planning and Control (PPC), Quality Management (QM), Maintenance Management (MM), and Supply Chain Management (SCM). PPC employs

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Barbosa, Eneias Santos, Maria Souza Santos, and Verônica Maria Neto Lopes. "A Importância do PCP (Planejamento e Controle da Produção) para a competitividade em indústrias de Juazeiro da Bahia / The Importance of PPC (Production Planning and Control) for industrial competitiveness in Juazeiro, Bahia." ID on line REVISTA DE PSICOLOGIA 13, no. 47 (2019): 89–108. http://dx.doi.org/10.14295/idonline.v13i47.1946.

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O presente trabalho trata-se de uma pesquisa de campo realizada em indústrias localizadas em Juazeiro-BA. Cujo objetivo foi demonstrar a relação entre o PCP (Planejamento e Controle da Produção) e as práticas empregadas na produção das indústrias, e a correlação de ambas para o aumento da competividade do negócio. A pesquisa deu-se por meio da aplicação de questionário previamente elaborado aplicado em 10 indústrias selecionadas no portal da FIEB (Federação das Indústrias do Estado da Bahia). Os resultados indicam que 60% das empresas baseiam sua produção nos contratos e pedidos pré-estabeleci

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Mallampati, Mahesh, Kolla Srivinivas, and Tirumala Krishna. M. "Design Process to Reduce Production Cycle Time in Product Development." IAES International Journal of Artificial Intelligence (IJ-AI) 7, no. 3 (2018): 125. http://dx.doi.org/10.11591/ijai.v7.i3.pp125-129.

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<span lang="EN-US">In today’s business climate, the old adage “time is money” has been expanded to mean that time is competitive weapon. Today customer’s demands are quick delivery and good quality at reasonable price. When entering the global market the companies encounter several difficulties, the most important one being excessive time for new product development. Thus to perform in a global market, short lead times are essential to provide customer satisfaction. Lead time in manufacturer point of view is the time elapse between placing of an order and the receipt of goods ordered. Th

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Souza, Érika Márcia Assis de, Adalci Righi Viggiano, Kelce de Aguiar, Wagner Cavalare de Souza, Mayara Roberta de Castro, and Hélio Augusto Goulart Diniz. "Challenges and Strategies in Supply Chain Management: a Case Study in Dermocosmetics." Revista de Gestão Social e Ambiental 18, no. 8 (2024): e08032. http://dx.doi.org/10.24857/rgsa.v18n8-175.

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Objective: To investigate the supply chain of a small dermocosmetics company in Belo Horizonte, MG, by analyzing direct and indirect impact factors on the management of this chain. Theoretical Framework: The study is based on supply chain management theories, SWOT analysis (strengths, opportunities, weaknesses, and threats), cause and effect analysis, and concepts of production planning and control (PPC). Method: A single case study with a qualitative and descriptive approach. Data collection was conducted through on-site visits, unstructured interviews, and document analysis. The SWOT matrix

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Katic, Mile, Dilek Cetindamar, and Renu Agarwal. "Deploying ambidexterity through better management practices: an investigation based on high-variety, low-volume manufacturing." Journal of Manufacturing Technology Management 32, no. 4 (2021): 952–75. http://dx.doi.org/10.1108/jmtm-07-2020-0276.

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PurposeWhilst capabilities in exploiting existing assets and simultaneously exploring new opportunities have proven essential in today's organisations, an understanding of how these so-called ambidextrous capabilities are deployed remains elusive. Thus, the authors aim to investigate the role of better management practices (BMP), as organisational routines, in deploying ambidextrous capabilities in practice.Design/methodology/approachHigh-variety, low-volume (HVLV) manufacturers are adopted as exemplar ambidextrous organisations. A conceptual model was developed where BMP, including human reso

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Yamada, Tuane Tonani, Marcelo Seido Nagano, and Hugo Hissashi Miyata. "Minimization of total tardiness in no-wait flowshop production systems with preventive maintenance." International Journal of Industrial Engineering Computations 12, no. 4 (2021): 415–26. http://dx.doi.org/10.5267/j.ijiec.2021.5.002.

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Efficient business organizations must balance quality, cost, and time constraints in competitive environments. Reflecting the complexity of this task, we consider manufacturing systems including several stages of production chains requiring time measurement. When production scheduling is not prioritized in such enterprises, several negative effects may occur. A corporation may suffer financial penalties as well as negative brand exposure, and thus may find its credibility challenged. Therefore, in this study, we propose constructive methods to minimize a total tardiness criterion, considering

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Araujo, Fernando Oliveira de, and André Lima Germano. "DESENVOLVIMENTO E IMPLANTAÇÃO DE PROPOSTAS PARA A FORMALIZAÇÃO DE PROCESSOS DE MANUFATURA DE UMA EMPRESA FABRICANTE DE DUTOS INDUSTRIAIS EM NOVA IGUAÇU/RJ." Revista Produção e Desenvolvimento 3, no. 3 (2017): 55–73. http://dx.doi.org/10.32358/rpd.2017.v3.198.

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This study takes place in a small scale company, which manufactures industrial ducts for HVAC systems, and is located in the town of Nova Iguaçu, Rio de Janeiro State. This company has experienced variability problems in its final products, many of which are related to the absence of standardization and formalization of its processes for manufacturing management, and production planning and control (PPC). In methodological terms, a participatory research is conducted, which includes the systematic observation and informal dialogue with collaborators and managers, aiming to identify opportuniti

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