Simulation modeling and optimization using ProModel technology

The ProModel Optimization Suite is a powerful yet easyto-use simulation tool for modeling all types of manufacturing systems ranging from small job shops and machining cells to large mass production, flexible manufacturing systems, and supply chain systems. ProModel is a Windows based system with an intuitive graphical interface and object-oriented modeling constructs that eliminate the need for programming. It combines the flexibility of a general purpose simulation language with the convenience of a data-driven simulator. In addition, ProModel utilizes an optimization tool called SimRunner that performs sophisticated "what-if" analysis by running automatic factorial design of experiments on the model, providing the best answer possible. This tutorial provides an overview of the ProModel Optimization Suite and presents its modeling, analysis, and optimization capabilities.

Simulations have been found applicable in various spheres of disciples including manufacturing systems, aerospace, process engineering, etc. This report detailed how PROMODEL software was used to design and analyze a typical manufacturing system. The design involves application of "LEAP", a methodology proscribed by ProModel. Simulation outputs and their analysis are expounded in terms capacity utilizations and timevariants.

SHS Web of Conferences, 2021

Research background: In today’s global world and many major market players, companies are forced to streamline and optimize their processes. They can use many methods for this purpose. One of the modern and innovative methods is process simulation. Simulation is experimenting with a computer model of a real production system in order to optimize the production process. Purpose of the article: The purpose of this article is to point out how it is possible to optimize processes in a manufacturing plant using a simulation tool. Methods: The main methods used were mainly method of analysis and simulation software Tecnomatix Plant Simulation, version 15.0.5 from Siemens company. The authors used the method of analysis both in the processing of the theoretical basis of the problem, as well as in the analysis of processes in the manufacturing company. This analysis provided important information inputs for creating a simulation model that reflects the current state of material flows in the...

International Journal of Simulation Modelling, 2018

JaamSim is a prominent, discrete-event simulator with an established and fast growing community of users. To the authors' knowledge, no simulation optimisation package was available for JaamSim up to now. For the purposes of this research, we developed the open-source software JSOptimizer that can be used to optimise simulation models of complex engineering systems built with JaamSim. The proposed tool utilises the jMetal framework, a well-known and validated library of meta-heuristic optimisation algorithms. The contribution of this article is twofold. First, we present the most important aspects of the proposed software JSOptimizer. Secondly, we examine a novel, multiobjective problem pertaining to a stochastic manufacturing system which involves production control and job routing decisions. Several instances of the optimisation problem are solved and the resulting local non-dominated sets are compared under various performance metrics by utilizing the functionalities of JSOptimizer. This investigation also serves as a proof of concept for the proposed software's applicability.

Simulation project requires highly qualified multidisciplinary staff rarely available in a Small and medium-sized enterprise (SME). The aim of this paper is to develop a computerassisted performance analysis and optimization (CPAO) to help a SME manager which is considered in this paper as an inexperienced user in applying a simulation project without using explicitly the ARENA ® software. After the design of the suitable simulation model with ARENA ® software by an expert simulation modeler, the inexperienced user of CPAO can operate the process of simulation and optimization easily and simply. Major manipulations include the following. The setting of possible configurations. (2) The statistical analysis and graphical analysis of simulation results. (3) The improvement and the optimization of some criteria. The developed CPAO application is carried out in two steps. Firstly, the Unified Modeling Language (UML) is employed for the CPAO design phase. Secondly, Visual Basic Administration (VBA) language is exploited to develop various User Forms dialogues with the inexperienced user, ARENA software, Ms Excel and Ms Access.

Songklanakarin Journal of Science and Technology (SJST), 2008

This study is about the application of a Simulation Model to assist decision making on expanding capacity and plant layout design and planning. The plant layout design concept is performed first to create the physical layouts then the simulation model used to test the capability of plant to meet various demand forecast scena. The study employed ProModel package as a tool, using the model to compare the performances in term of % utilization, characteristics of WIP and ability to meet due date. The verification and validation stages were perform before running the scenarios. The model runs daily production and then the capacity constraint resources defined by % utilization. The expanding capacity policy can be extra shift-working hours or increasing the number of machines. After expanding capacity solutions are found, the physical layout is selected based on the criterion of space available for WIP and easy flow of material.

Wireless Networks, 2020

The aim of the paper is to present a case study and to point out the possibilities of using computer simulation for the purpose of increasing the efficiency and efficiency of custom production of a company. The use of simulation modeling as a scientific method in research and in practice brings benefits such as financial, time, material and energy savings, as well as streamlining activities in real practice. The development of advanced simulation systems has opened up new possibilities and significantly supported the trend of streamlining production activities, thus reducing costs and improving business performance. Simulation, however, is not a tool for obtaining an optimal solution, but rather a tool that allows you to test different decision outputs on a simulation model. Such a simulation model makes it possible to carry out various experiments to evaluate, analyse and determine solution parameters that can then be used in a real system. Risk factors can be investigated and determined beforehand by 'replacing' the running simulation model while monitoring system performance and behaviour, then, after applying the required changes, the future behaviour of the system is examined for any potential problems and obstacles. Can be removed in advance. The goal is to analyse the material flow in the production process and then create a simulation to determine the length of production and identify bottlenecks in the production process. In order to get a better idea of the production process, a simulation model was developed in the selected software tool as a custom production project under the conditions of a particular company. The incentive to start production is given to the customer, where every order placed is immediately sent to the customer. The highest frequency order in the enterprise's production program is used to create the material flow.

2009

An increase in the use of simulation as a modeling and analysis tool has resulted in a growing number of simulation software products in the market. Companies are seeking advice about the desirable features of software for manufacturing simulation, depending on the purpose of its use. Because of this, the importance of an adequate approach to simulation software evaluation and comparison is apparent. This paper presents a critical evaluation of several widely used manufacturing simulators: ProModel, AutoMod, HyperMesh and ProcessModel. Following a review of research into simulation software evaluation, an evaluation and comparison of the above simulators is performed. The main purpose of this evaluation and comparison is to discover the suitability of certain types of simulators for particular purposes.

Procedia Engineering, 2016

Increasing the efficiency of production planning is a very hot topic from the perspective of introducing lean production into manufacturing. Simulation study dealing with simulation application for production planning support is a fundament for enhancing production systems and reduction of bottleneck occurrences. The article describes the possibilities of using computer simulation during production scheduling. A developed simulation model is adapted for dynamic loading of production plans for a given time period. Based on the simulation output, it is possible to verify production process and conduct additional simulation experiments. Changes in simulation model inputs result in changes on simulation (production) outputs, these can be easily compared with outputs of the original versions of production plans due to their archiving. The aim was to develop a simulation model which, after consequent adapting, will be used for creation of production plans in the future. The created model is ready for swift loading of incoming data and their consecutive evaluation through simulations with subsequent imaging diagram and output statistics. The developed simulation model can be fully controlled via a GUI (Graphical User Interface) which is fully opened for implementation of further optimization and scheduling algorithm with the aim of future enhancement of the simulation model.The simulation was created in collaboration with INNOV8 Ltd. via Plants Simulation software.

Proceedings of the Winter Simulation Conference