scholarly journals Production Planning and Control System with Just in Time and Lean Production: A Review

2021 ◽  
Vol 6 (2) ◽  
pp. 019-027
Author(s):  
Afriansyah Afriansyah ◽  
Amrifan Saladin Mohruni
Keyword(s):  
Production Planning ◽  
Production Control ◽  
Lean Production ◽  
Production Method ◽  
Just In Time ◽  
Production Planning And Control ◽  
Planning And Control ◽  
The Difference ◽  
And Control ◽  
Structure Properties

Manufacturing can be defined as applying physical and/or chemical processes to modify the structure, properties, and appearance of a given starting material to produce parts or products. Manufacturing often entails combining multiple elements for the creation of assembled products. This study aimed to establish a general understanding of development production planning and control and typical products such as just in time and lean production. Method of this study through literature review. This study described activities related to production planning and production control, the difference between lean production and traditional production (push system), and the structure of lean production as known as Toyota system manufacturing.

Die synchrone Produktion*/Synchronous manufacturing - An approach for semi-autonomous production planning and control and human-based decision support

2015 ◽  
Vol 105 (04) ◽  
pp. 204-208
Author(s):  
D. Kreimeier ◽  
E. Müller ◽  
F. Morlock ◽  
D. Jentsch ◽  
H. Unger ◽  
...  
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Production Planning ◽  
Data Exchange ◽  
Production Control ◽  
Production Planning And Control ◽  
Planning And Control ◽  
Manufacturing Execution Systems ◽  
And Control ◽  
Manufacturing Execution

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 einen echtzeitfähigen Datenaustausch erlauben, der wiederum eine echtzeitfähige Entscheidungsunterstützung bietet. Der Fachbeitrag stellt hierfür einen Lösungsansatz vor.   Sudden and unsystematic changes, such as fluctuations in order flow, machine failures, or employee sick days affect the Production Planning and Control (PPC) activities of industrial companies. Trends like globalization and increased market pressure intensify these problems. To master the complexity of decision-making in production control, tools of the digital factory (e.g. simulation systems) or IT systems (e.g. Manufacturing Execution Systems (MES)) are applied in manufacturing. Combining these areas would enable real-time capable data exchange which, in turn, provides real-time capable decision support. This article presents an approach for solving this problem.

scholarly journals The concept of operation and production control

2021 ◽  
Vol 27 (2) ◽  
pp. 100-107
Author(s):  
Radosław Wolniak
Keyword(s):  
Artificial Intelligence ◽  
Production Planning ◽  
Industry 4.0 ◽  
Production Management ◽  
Production Control ◽  
Main Function ◽  
Production Planning And Control ◽  
Factors Affecting ◽  
Planning And Control ◽  
And Control

Abstract The theoretical aim of the paper is to analyses the main function and concept of production control in operation management. The empirical aim of the paper is to investigate polish production firm opinion about factors affecting production planning and control and also functions of production planning and control. Production control is very important in every factory, and every aspect of operation and production management especially in times of Industry 4.0 conditions. In the paper we presented all classical seven task of production management control. Also there is in the paper an analysis of main factors affecting production control in industrial organization. In the paper we analysed the problems connected with production control. Nowadays in the conditions of Industry 4.0 this is very important concept because the increasing level of digitalization of all industrial processes leads to possibility of detailed analysis of all processes and better level of control. Operation managers should have good level of knowledge about production control and especially quality control. They can use in this many new information tools like statistical methods and artificial intelligence. Especially we think that in the future many function of production control would be assisted by artificial intelligence. We also in the paper give results of research conducted on example of 30 polish production organizations located in Silesia region.

Energieorientierte Produktionssteuerung*/Energy-oriented production control

2016 ◽  
Vol 106 (03) ◽  
pp. 152-156
Author(s):  
C. Schultz ◽  
S. Braunreuther ◽  
G. Prof. Reinhart
Keyword(s):  
Energy Consumption ◽  
Production Planning ◽  
Energy Supply ◽  
Energy Demand ◽  
Production Control ◽  
Load Management ◽  
Energy Costs ◽  
Production Planning And Control ◽  
Planning And Control ◽  
And Control

Angesichts steigender Energiekosten sowie eines zunehmenden Bewusstseins für nachhaltige Produktion ist es heute erforderlich, Zielvorgaben für den Energieverbrauch in der Produktionsplanung und -steuerung zu verankern sowie umzusetzen. Aus diesem Grund präsentiert dieser Artikel ein Verfahren für eine energieorientierte Produktionssteuerung, die auf der Basis von Energieflexibilität und Lastmanagement den Energiebedarf der Produktion mit einem begrenzten Energieangebot synchronisiert.   Due to rising energy costs and a growing awareness for sustainable production, it is now necessary for companies to establish targets for energy consumption in production planning and control. Therefore, this article illustrates a method for energy-oriented production control on the basis of flexibility and load management which synchronizes the energy demand in manufacturing with a limited energy supply.

scholarly journals PRODUCTION PLANNING AND CONTROL COMPLEMENTARITY ARCHITECTURE IN SELECTED MANUFACTURING FIRMS IN PORT HARCOURT, NIGERIA

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Chris Sam Biriowu ◽  
John E. Chikwe
Keyword(s):  
Production Planning ◽  
Operations Management ◽  
Capacity Planning ◽  
Production Control ◽  
Manufacturing Firms ◽  
Effective Capacity ◽  
Production Planning And Control ◽  
Planning And Control ◽  
Time Space ◽  
And Control

The strategic objective of this study is to empirically have an objective grasp of production planning and control complementarity architecture of five selected manufacturing firms and relevant areas of cost control. The paper empirically explores some facets of production planning and processing analysis in different machines and periods; production divisions and types, scheduling and sequencing of production planning. Capacity planning levels including potential capacity, immediate capacity and effective capacity were strategically discussed. Aspects of production control architecture such as dispatching and functions of the dispatcher were also evaluated. Other related areas of production control examined include: expediting (follow-up) and progressing, and the activities in these production and control elements were objectively handled. The study arrived at the fact that, production planning and control functions complement each other in their functionality. Effective scheduling and sequencing are revealed to be a panacea that help the handling of time, space constraints and associated cost elements in production operations management. It is therefore recommended that, production and control operations functions should complement, and be jealously guided in manufacturing operations. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0770/a.php" alt="Hit counter" /></p>

Use of Mathematical Models in a Mechanical Metal Industry to Improve Production Planning and Control

2021 ◽  
pp. 314-332
Author(s):  
Leoni Pentiado Godoy ◽  
Wagner Pietrobelli Bueno ◽  
Tais Pentiado Godoy ◽  
Clandia Gomes ◽  
Maria Carolina Martins Rodrigues ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Production Planning ◽  
Production Control ◽  
Qualitative Approach ◽  
Production Planning And Control ◽  
Planning And Control ◽  
The Cost ◽  
And Control

This chapter aims to propose an improvement in decision making in the planning sector and production control (PPC) with application of a mathematical model. In the methodology, the qualitative approach was used because the linguistic codifications are interpreted and characterized by a case study applying a questionnaire to the managers of the company of the metal mechanic sector. In this context, six constructs were structured as a proposal for performance improvement, being composed of costs, management, inspection, processes, and capacity. The chapter reports the main results achieved during fuzzy sets application, obtaining a better result compared to FAHP in which there were certain oscillations between the percentage of constructs. The construct prioritized by managers and specialists was the cost construct, reaching 38.60%, being advantageous for the industry when the cost is placed in order of manufacture (subconstruct), followed by the prioritized management construct with 28.50%.

scholarly journals Production Planning and Control (PPC): production pointing system deployment, use and unfolding

2020 ◽  
Vol 11 (5) ◽  
pp. 1551
Author(s):  
José Henrique de Andrade ◽  
Francisco Andrea Simões Braga ◽  
Luciano Campanini ◽  
Josadak Astorino Marçola ◽  
Bruna Carvalho Nunes Rocha
Keyword(s):  
Production Planning ◽  
Production Management ◽  
Production Control ◽  
Production Systems ◽  
Production Planning And Control ◽  
Planning And Control ◽  
Management Processes ◽  
Efficiency And Effectiveness ◽  
And Control

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 proposed objective, a literature review was conducted on the topics of interest and a case study in a company that manufactures hospital medical products in the interior of São Paulo state. As main results, it was observed that the adoption and evolution of a production pointing system generated significant gains for the company's Production Control and increased maturity in terms of Production Management, but required significant efforts and investments to maintain and evolve the production deploying process.

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. &nbsp; 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.

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