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

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.

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.

Workload Control

2015 ◽  
pp. 61-69
Author(s):  
Nuno O. Fernandes
Keyword(s):  
Production Planning ◽  
Performance Criteria ◽  
Production Planning And Control ◽  
Manufacturing Enterprises ◽  
Planning And Control ◽  
Processing Times ◽  
Workload Control ◽  
Sources Of Variation ◽  
Demand Variability ◽  
And Control

Global competition and changing customer requirements are putting major challenges in the production planning and control systems of manufacturing enterprises. Production planning and control requires robust methods able to cope with demand variability, processing times variability, routing sequences, resource availability, etc., between other sources of variation. Production planning and control significantly influences target performance criteria such as the delivery time, on-time delivery, work-in-process inventory, and resources utilization. Therefore, production planning and control is strategically important for the economic success of these enterprises and innovative production planning and control methods are required. This chapter describes how workload control, a leading production planning and control system for small- and medium-sized enterprises, operates and illustrates how it aids in shortening and stabilising throughput times based on a simulation study of a small made-to-order production system.

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.

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.

scholarly journals Analysis and Optimization of Two Film-Coated Tablet Production Processes by Computer Simulation: A Case Study

Processes ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 67
Author(s):  
Stefanie Hering ◽  
Nico Schäuble ◽  
Thomas M. Buck ◽  
Brigitta Loretz ◽  
Thomas Rillmann ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Model Building ◽  
Discrete Event ◽  
Simulation Software ◽  
Labor Costs ◽  
Event Simulation ◽  
Processing Times ◽  
Production Processes ◽  
Coated Tablet ◽  
Pharmaceutical Production

Increasing regulatory demands are forcing the pharmaceutical industry to invest its available resources carefully. This is especially challenging for small- and middle-sized companies. Computer simulation software like FlexSim allows one to explore variations in production processes without the need to interrupt the running process. Here, we applied a discrete-event simulation to two approved film-coated tablet production processes. The simulations were performed with FlexSim (FlexSim Deutschland—Ingenieurbüro für Simulationsdienstleistung Ralf Gruber, Kirchlengern, Germany). Process visualization was done using Cmap Tools (Florida Institute for Human and Machine Cognition, Pensacola, FL, USA), and statistical analysis used MiniTab® (Minitab GmbH, Munich, Germany). The most critical elements identified during model building were the model logic, operating schedule, and processing times. These factors were graphically and statistically verified. To optimize the utilization of employees, three different shift systems were simulated, thereby revealing the advantages of two-shift and one-and-a-half-shift systems compared to a one-shift system. Without the need to interrupt any currently running production processes, we found that changing the shift system could save 50–53% of the campaign duration and 9–14% of the labor costs. In summary, we demonstrated that FlexSim, which is mainly used in logistics, can also be advantageously implemented for modeling and optimizing pharmaceutical production processes.

Sign in / Sign up

Export Citation Format

Share Document