scholarly journals An Analysis of the Impact of Industrie 4.0 on Production Planning and Control

2018 ◽  
pp. 114-121 ◽  
Author(s):  
Uwe Dombrowski ◽  
Yannick Dix
Keyword(s):  
Production Planning ◽  
Industrie 4.0 ◽  
Production Planning And Control ◽  
Planning And Control ◽  
And Control ◽  
The Impact

scholarly journals Teaching-Learning Strategies to Production Planning and Control Concepts: Application of Scenarios to Sequencing Production with Virtual Reality Support

2021 ◽  
Vol 20 (8) ◽  
pp. 108-125
Author(s):  
Fernando Elemar Vicente dos Anjos ◽  
Luiz Alberto Oliveira Rocha ◽  
Rodrigo Pacheco ◽  
Débora Oliveira da Silva
Keyword(s):  
Virtual Reality ◽  
Production Planning ◽  
Learning Strategies ◽  
Production Planning And Control ◽  
Production Engineering ◽  
Planning And Control ◽  
Process Manufacturing ◽  
Teaching Learning ◽  
And Control ◽  
The Impact

This paper aims to present scenarios to be applied in higher education to the theme of production planning and control, addressing factors of the production system and indicators arising from this process and the application of virtual reality to support the process. The applied method combines the development of six scenarios for virtual reality application and the discussion about the impacts in indicators from the production planning and control, for example, inventory in the process, manufacturing lead-time, use of equipment, and punctual delivery attendance. Findings revealed that the teaching-learning process of production planning and control, when applied through scenarios, generates opportunities for students to learn the impact in the indicators. The virtual reality in this environment supports creating differentiated teaching-learning environments to generate the most significant knowledge for students which positively impacts the future in the world of work. In addition, it allows people involved in the teaching-learning processes of production engineering to apply the concepts presented in the sequencing process, lean about the impacts of decisions on production sequencing indicators and appreciate the support of virtual reality to generate an environment more cognitive for students.

scholarly journals The Influence of Cognitive Biases in Production Planning and Control: Considering the Human Factor for the Design of Decision Support Systems

2021 ◽  
Author(s):  
Julia Bendul ◽  
Melanie Zahner
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Production Planning ◽  
Cognitive Biases ◽  
Production Planning And Control ◽  
Due Date ◽  
Planning And Control ◽  
Human Decision ◽  
And Control ◽  
The Impact

Production planning and control (PPC) requires human decision-making in several process steps like production program planning, production data management, and performance measurement. Thereby, human decisions are often biased leading to an aggravation of logistic performance. Exemplary, the lead time syndrome (LTS) shows this connection. While production planners aim to improve due date reliability by updating planned lead times, the result is actually a decreasing due date reliability. In current research in the field of production logistics, the impact of cognitive biases on the decision-making process in production planning and control remains at a silent place. We aim to close this research gap by combining a systematic literature review on behavioral operation management and cognitive biases with a case study from the steel industry to show the influence of cognitive biases on human decision-making in production planning and the impact on logistic performance. The result is the definition of guidelines considering human behavior for the design of decision support systems to improve logistic performance.

A Human Centered Multi-Agent-System for Production Planning and Control

2016 ◽  
Vol 840 ◽  
pp. 132-139 ◽  
Author(s):  
Christian Block ◽  
Friedrich Morlock ◽  
Thomas Dorka ◽  
Bernd Kuhlenkötter
Keyword(s):  
Production Planning ◽  
Industrie 4.0 ◽  
Multi Agent System ◽  
Production Planning And Control ◽  
Agent System ◽  
Agent Based ◽  
Planning And Control ◽  
It Systems ◽  
Multi Agent ◽  
And Control

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 planning processes. However, the disadvantage of multi-agent systems is that processes of autonomously acting agents are not comprehensible for humans. Nevertheless, in Industrie 4.0 the human shall be involved as the executive body or even as a decision maker. Therefore, this article describes an agent-based approach in which an agent system is used as an interface solution between IT systems and extended by a visualization approach in order to implement a partially autonomous support system for an agent-based PPC.

Industrie 4.0 in Produktionsplanung und -steuerung*/Benefits of Industrie 4.0 for Production Planning and Control – results of a quantitative analysis

2018 ◽  
Vol 108 (04) ◽  
pp. 204-209
Author(s):  
U. Dombrowski ◽  
Y. Dix ◽  
P. Krenkel
Keyword(s):  
Quantitative Analysis ◽  
Production Planning ◽  
Industrie 4.0 ◽  
Data Availability ◽  
Production Planning And Control ◽  
Planning And Control ◽  
And Control ◽  
Opening Up ◽  
Selection Of

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.   Data availability and quality has increased by Industrie 4.0, opening up promising new opportunities for Production Planning and Control (PPC). This paper introduces the effects of individual Industrie 4.0 elements for PPC based on a quantitative analysis. Thus, it provides guidance on the selection of Industrie 4.0 elements to support the planning activities of PPC and improve logistical targets.

scholarly journals Labor flexibility integration in workload control in Industry 4.0 era

2021 ◽  
Author(s):  
Federica Costa ◽  
Alberto Portioli-Staudacher
Keyword(s):  
Production Planning ◽  
Industry 4.0 ◽  
Shop Floor ◽  
Production Planning And Control ◽  
Labor Flexibility ◽  
Planning And Control ◽  
Workload Control ◽  
Low Volume ◽  
And Control ◽  
The Impact

AbstractThe paradigm shift toward Industry 4.0 is facilitating human capability, and at the center of the research are the workers—Operator 4.0—and their knowledge. For example, new advances in augmented reality and human–machine interfaces have facilitated the transfer of knowledge, creating an increasing need for labor flexibility. Such flexibility represents a managerial tool for achieving volume and mix flexibility and a strategic means of facing the uncertainty of markets and growing global competition. To cope with these phenomena, which are even more challenging in high-variety, low-volume contexts, production planning and control help companies set reliable due dates and shorten lead times. However, integrating labor flexibility into the most consolidated production planning and control mechanism for a high-variety, low-volume context—workload control—has been quite overlooked, even though the benefits have been largely demonstrated. This paper presents a mathematical model of workload control that integrates labor flexibility into the order review and release phase and simulates the impact on performance. The main results show that worker transfers occur when they are most needed and are minimized compared to when labor flexibility is at a lower level of control—shop-floor level—thus reducing lead time.

ProSense/ProSense - Production control in the context of Industrie 4.0

2015 ◽  
Vol 105 (06) ◽  
pp. 422-426
Author(s):  
C. Reuter ◽  
F. Brambring ◽  
T. Hempel ◽  
F. Schulte ◽  
L. Dambeck
Keyword(s):  
Production Planning ◽  
Production Control ◽  
Industrie 4.0 ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Specific Process ◽  
Planning And Control ◽  
Intelligent Sensors ◽  
Process Chains ◽  
And Control

Immer kundenindividuellere Prozessketten sowie eine gleichzeitig steigende Marktdynamik stellen Unternehmen und insbesondere die Produktionssteuerung vor große Herausforderungen. Das Forschungsprojekt ProSense erarbeitet Lösungen für eine Produktionssteuerung in Zeiten von Industrie 4.0. Auf Basis kybernetischer Unterstützungssysteme und intelligenter Sensorik soll der Entscheider optimal bei Planung und Steuerung der Produktion unterstützt werden.   Customer-specific process chains and increasingly dynamic market conditions pose a major challenge for manufacturing companies and especially their production planning and control processes. The research project ProSense develops solutions for a production control in the context of Industrie 4.0. Building on cybernetic support systems and intelligent sensors, the employees can be optimally supported in decisions concerning production planning and control.

Entwicklung der Produktions-IT*/Roadmap for production planning and control

2017 ◽  
Vol 107 (11-12) ◽  
pp. 858-862
Author(s):  
T. Vollmer ◽  
B. Zhou ◽  
T. Heutmann ◽  
R. Kiesel ◽  
R. Schmitt
Keyword(s):  
Production Planning ◽  
Enterprise Resource Planning ◽  
Industry 4.0 ◽  
Resource Planning ◽  
Industrie 4.0 ◽  
Production Planning And Control ◽  
Planning And Control ◽  
It Systems ◽  
And Control ◽  
Manufacturing Environments

Automatisierung, intelligente Produktionsplanung und Monitoring sind gängige Anwendungen – daher sind Informationstechnologie (IT)-Systeme aus der Produktion nicht mehr wegzudenken. Dieser Beitrag gibt einen Überblick über die aktuellen Entwicklungen und Innovationen im Bereich der Produktions-IT (zum Beispiel Enterprise Resource Planning ERP, Manufacturing Excecution Systems MES und Computer Aided Quality Assurance CAQ), nennt Anwendungsgebiete und beleuchtet deren Potenziale anhand konkreter Fallbeispiele. Es werden darüber hinaus die Herausforderungen diskutiert, welche es im Rahmen von Industrie 4.0 zu meistern gilt.   IT systems nowadays are common in manufacturing environments for applications such as automation, intelligent production planning or monitoring. This article provides an overview about current developments and innovations in production planning and control (e.g. ERP, MES; CAQ), mentions promising areas for application and evaluates their potential referring to case studies. Based on this, challenges coming along with changes within the broad field of Industry 4.0 are discussed.

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