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.

scholarly journals Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications

2020 ◽  
Vol 12 (9) ◽  
pp. 3791 ◽  
Author(s):  
Olumide Emmanuel Oluyisola ◽  
Fabio Sgarbossa ◽  
Jan Ola Strandhagen
Keyword(s):  
Production Planning ◽  
Production Management ◽  
Production Systems ◽  
Production Planning And Control ◽  
Market Uncertainty ◽  
Planning And Control ◽  
Make To Order ◽  
Smart Technologies ◽  
And Control ◽  
Process Strategy

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 artefacts through four case companies. The presented model adopts an incremental approach that companies with limited resources could employ in improving their PPC process in the context of industry 4.0 and sustainability. The results reveal that while make-to-order companies are more likely to derive greater benefits from a smart product strategy, make-to-stock companies are more likely to derive the most benefit from pursuing a smart process strategy, and consequently a smart PPC solution.

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.

Integrating Production Planning and Control Business Processes

2010 ◽  
pp. 391-412
Author(s):  
Rui M. Lima
Keyword(s):  
Production Planning ◽  
Business Process ◽  
Production Management ◽  
Process Modelling ◽  
Production Planning And Control ◽  
Business Process Modelling ◽  
Modelling Languages ◽  
Planning And Control ◽  
Calculation Results ◽  
And Control

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 integration of production management processes, specifically of production planning and control processes are presented. These concepts, the application of business process modelling language (BPML) and some solutions of PPC integration compose the core content of this work. Additionally, criteria for evaluation of these processes of integration are identified and discussed. Finally, the presentation of an industrial case will be supported by BPML model.

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

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.

Integrating Production Planning and Control Business Processes

2010 ◽  
pp. 172-193
Author(s):  
Rui M. Lima
Keyword(s):  
Production Planning ◽  
Business Process ◽  
Production Management ◽  
Process Modelling ◽  
Production Planning And Control ◽  
Business Process Modelling ◽  
Modelling Languages ◽  
Planning And Control ◽  
Calculation Results ◽  
And Control

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 integration of production management processes, specifically of production planning and control processes are presented. These concepts, the application of business process modelling language (BPML) and some solutions of PPC integration compose the core content of this work. Additionally, criteria for evaluation of these processes of integration are identified and discussed. Finally, the presentation of an industrial case will be supported by BPML model.

Integrating Production Planning and Control Business Processes

2012 ◽  
Vol 1 (4) ◽  
pp. 1-21
Author(s):  
Rui M. Lima
Keyword(s):  
Production Planning ◽  
Business Process ◽  
Production Management ◽  
Business Processes ◽  
Process Modelling ◽  
Production Planning And Control ◽  
Business Process Modelling ◽  
Modelling Languages ◽  
Planning And Control ◽  
And Control

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 integration of production management processes, specifically of production planning and control processes are presented. These concepts, the application of business process modelling language (BPML) and some solutions of PPC integration compose the core content of this work. Additionally, criteria for evaluation of these processes of integration are identified and discussed. Finally, the presentation of an industrial case will be supported by BPML model.

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%.

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