The Impact of Planning Granularity on Production Planning and Control Strategies in MTO: A Discrete Event Simulation Study

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.

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Using Discrete-Event Simulation Systems as Support for Production Planning

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.809-810.1456 ◽

2015 ◽

Vol 809-810 ◽

pp. 1456-1461 ◽

Cited By ~ 8

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.

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The Hanoverian Supply Chain Model: modelling the impact of production planning and control on a supply chain’s logistic objectives

Production Engineering ◽

10.1007/s11740-017-0740-9 ◽

2017 ◽

Vol 11 (4-5) ◽

pp. 487-493 ◽

Cited By ~ 8

Author(s):

Matthias Schmidt ◽

Philipp Schäfers

Keyword(s):

Supply Chain ◽

Production Planning ◽

Chain Model ◽

Production Planning And Control ◽

Planning And Control ◽

Supply Chain Model ◽

And Control ◽

The Impact

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The Impact of Inpatient Boarding on ED Efficiency: A Discrete-Event Simulation Study

Journal of Medical Systems ◽

10.1007/s10916-009-9307-4 ◽

2009 ◽

Vol 34 (5) ◽

pp. 919-929 ◽

Cited By ~ 38

Author(s):

Aaron E. Bair ◽

Wheyming T. Song ◽

Yi-Chun Chen ◽

Beth A. Morris

Keyword(s):

Discrete Event Simulation ◽

Simulation Study ◽

Discrete Event ◽

Event Simulation ◽

The Impact

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Use of workload control in production planning and control: modeling on a simulation software

Gestão & Produção ◽

10.1590/1806-9649-2021v28e5744 ◽

2021 ◽

Vol 28 (2) ◽

Author(s):

Bruno da Silva Barreto ◽

Juliana Keiko Sagawa ◽

Mateus Scalet Silva

Keyword(s):

Discrete Event ◽

Simulation Software ◽

Production Planning And Control ◽

Event Simulation ◽

Planning And Control ◽

Lack Of Information ◽

Workload Control ◽

And Control ◽

Manufacturing Environments ◽

Control Modeling

Abstract: This paper aims at presenting a structure of implementation of the Workload Control (WLC) approach on a commercial discrete event simulation software by comprehensively demonstrating how to construct and simulate this approach. This research was developed considering the lack of studies fully describing this implementation on this kind of software, which hinders the dissemination and use of the WLC approach by managers. Initially, the logic was developed on a dedicated and structured language and then converted to the simulation software. A detailed description of the WLC implementation contributes to the business domain by facilitating its replication and application in other manufacturing environments, reducing the project time needed to develop the base model and allowing managers and/or researchers to focus directly on the adjustments of the model to the environment being modeled. In the academic domain, this paper addresses a gap in the WLC literature concerning the lack of tutorials for simulation and the lack of information, in the existing papers, regarding the development of the computational model.

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

Human 4.0 - From Biology to Cybernetic ◽

10.5772/intechopen.89259 ◽

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.

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