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.

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 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.

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.

scholarly journals Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study

2021 ◽  
Author(s):  
Olumide Emmanuel Oluyisola ◽  
Swapnil Bhalla ◽  
Fabio Sgarbossa ◽  
Jan Ola Strandhagen
Keyword(s):  
Machine Learning ◽  
Production Planning ◽  
Production System ◽  
Service Oriented Architecture ◽  
Big Data Analytics ◽  
Smart Manufacturing ◽  
Production Planning And Control ◽  
Planning And Control ◽  
And Control

AbstractIn furtherance of emerging research within smart production planning and control (PPC), this paper prescribes a methodology for the design and development of a smart PPC system. A smart PPC system uses emerging technologies such as the internet of things, big-data analytics tools and machine learning running on the cloud or on edge devices to enhance performance of PPC processes. It achieves this by using a wider range of data sources from the production system, capturing and utilizing the experience of production planners, using analytics and machine learning to harness insights from the data and allowing dynamic and near real-time action to the continuously changing production system. The proposed methodology is illustrated with a case study in a sweets and snacks manufacturing company, to highlight the key considerations and challenges production managers might face during its application. The case further demonstrates considerations for scalability and flexibility via a loosely coupled, service-oriented architecture and the selection of fitting algorithms respectively to address a business requirement for a short-term, multi-criteria and event-driven production planning and control solution. Finally, the paper further discusses the challenges of PPC in smart manufacturing and the importance of fitting smart technologies to planning environment characteristics.

Using Discrete-Event Simulation Systems as Support for Production Planning

2015 ◽  
Vol 809-810 ◽  
pp. 1456-1461 ◽  
Author(s):  
Damian Krenczyk ◽  
Malgorzata Olender
Keyword(s):  
Decision Making ◽  
Production Planning ◽  
Production Management ◽  
New Technologies ◽  
Discrete Event ◽  
Simulation Program ◽  
High Tech ◽  
Production Planning And Control ◽  
Planning And Control ◽  
And Control

In the days of fierce competition, rapid changes and new technologies, production, and above all, production planning and control cannot be implemented in isolation to changes in the market. The ability to quickly adjust to changes, being flexible is now essential for high tech companies. One of the key area of production management, that must continuously evolve by searching for new methods and tools for increasing the efficiency of decision-making process is the area of production planning and control. In solving the problems associated with production planning are increasingly used advanced simulation programs. They support the planners, especially in situations related to changes in the assortment, or the introduction of new products into the market. A practical example of using the simulation program for production planning is presented in the paper. It is shown that an advanced simulation program can be an effective tool used in decision making area. The construction of the model, and performed experiments are crucial for enterprises where among other things punctuality and flexibility are the most important elements. A short time for the results of the simulation allows for quick response and, if necessary, make changes to the model by planners to achieve the best results with the given parameters associated with the required to complete the production orders.

Increasing data integrity for improving decision making in production planning and control

CIRP Annals ◽  
2017 ◽  
Vol 66 (1) ◽  
pp. 425-428 ◽  
Author(s):  
Günther Schuh ◽  
Christina Reuter ◽  
Jan-Philipp Prote ◽  
Felix Brambring ◽  
Julian Ays
Keyword(s):  
Decision Making ◽  
Production Planning ◽  
Data Integrity ◽  
Production Planning And Control ◽  
Planning And Control ◽  
And Control
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