Automatic Generation Method of Simulation Model for Production Planning and Simulation Systems Integration

2014 ◽  
Vol 1036 ◽  
pp. 825-829 ◽  
Author(s):  
Damian Krenczyk
Keyword(s):  
Production Planning ◽  
Production System ◽  
Production Systems ◽  
Computer Software ◽  
Simulation Models ◽  
Automatic Generation ◽  
System Structure ◽  
Dynamics Simulation ◽  
Flow Topology ◽  
Simulation Systems

In the paper the method of integration of production planning and simulation systems has been presented. An automatic generation method of production systems models has been implemented to integrate the Production Order Verification System (SWZ) for multi-assortment, concurrent production planning) and Enterprise Dynamics simulation system. Submitted methodology allowed the direct generation of simulation models for production systems with the use of data obtained from PPC systems, regardless of the production system structure, flow topology of the production processes and the amount of resources and production orders. Generation of simulation models is performed automatically, allowing the omission of time-and labor-consuming process of building a simulation. In the process of generation of the simulation models, methods of data mapping, transformation and exchange, between heterogeneous computer systems (PPC/DES) using neutral formats and data storing (XML) in conjunction with an intermediate neutral data model have been used. The result of transformation is the input file for simulation systems, containing information about the production system model, together with control procedures. Based on the described methodology, operation algorithms have been developed and the computer software RapidSim, that integrates PPC and DES systems has been presented.

Maintenance policy structure investigation and optimisation of a complex production system with intermediate buffers

2020 ◽  
pp. 1748006X2096895
Author(s):  
Yifan Zhou ◽  
Chao Yuan ◽  
Tian Ran Lin ◽  
Lin Ma
Keyword(s):  
Production System ◽  
Production Systems ◽  
Condition Based Maintenance ◽  
Control Limit ◽  
System Structure ◽  
Sequential Simulation ◽  
Maintenance Policy ◽  
Limit Property ◽  
Simulation Procedure ◽  
Cost Efficient

Existing research about the maintenance optimisation of production systems with intermediate buffers largely assumed a series system structure. However, practical production systems often contain subsystems of ring structures, for example, rework and feedforward. The maintenance optimisation of these complex systems is difficult due to the complicated structure of maintenance policies and the large search space for optimisation. This paper proves the control limit property of the optimal condition-based maintenance policy. Based on the control limit property, approximate policy structures that incur a smaller policy space are proposed. Because the state space of a production system is often large, the objective function of the maintenance optimisation cannot be evaluated analytically. Consequently, a stochastic branch and bound (SB&B) algorithm embedding a sequential simulation procedure is proposed to determine a cost-efficient condition-based maintenance policy. Numerical studies show that the proposed maintenance policy structures can deliver a cost-efficient maintenance policy, and the performance of the SB&B algorithm is enhanced by the inclusion of a sequential simulation procedure.

Practical Example of the Integration of Planning and Simulation Systems Using the RapidSim Software

2014 ◽  
Vol 1036 ◽  
pp. 834-839 ◽  
Author(s):  
Damian Krenczyk ◽  
Marcin Zemczak
Keyword(s):  
Production Planning ◽  
System Integration ◽  
Discrete Event ◽  
Dynamics Simulation ◽  
Practical Implementation ◽  
Development Environment ◽  
Event Simulation ◽  
Production Order ◽  
Simulation Systems ◽  
Made In

In the paper practical implementation of the methodology of production planning systems with discrete event simulation (DES) systems integration has been presented. The required definitions of data structures and functions transformation in the form of XSLT documents have been presented. The functional algorithm and RapidSim software made on its basis, which is practical implementation of the integration methodology was developed. Developed software and parameterising documents have been used for the integration methodology verification. RapidSim system was made in VisualBasic development environment, and by the fact that Data Transformation XSLT documents can be independently developed, the software can be used for any integrated systems. During the verification phase of the implemented methodology, the software has been used for the practical implementation of Production Order Verification System (SWZ) for multi-assortment, concurrent production planning and Enterprise Dynamics simulation system integration.

Exploring the integration between Lean and the Theory of Constraints in Operations Management

2019 ◽  
Vol 10 (3) ◽  
pp. 718-742 ◽  
Author(s):  
Diego Augusto de Jesus Pacheco ◽  
Isaac Pergher ◽  
José Antônio Valle Antunes Junior ◽  
Guilherme Luís Roehe Vaccaro
Keyword(s):  
Operations Management ◽  
Production System ◽  
Performance Metrics ◽  
Production Systems ◽  
The Body ◽  
System Structure ◽  
Theory Of Constraints ◽  
Future Research ◽  
Production Environment ◽  
Content Type

Purpose The purpose of this study is to compare different models integrating the TOC and Lean approaches. Design/methodology/approach The models of reference were identified through a comprehensive literature review. A qualitative and comparative analysis was carried out by pointing out the strengths, weaknesses and gaps of models integrating the TOC and Lean based on the production system requirements. Findings The findings indicate that these models can be improved by introducing aspects related to the system structure such as main key performance indicators, type of shop layout and performance metrics to evaluate the improvements implemented in the production system. The results provided evidence that the TOC and Lean are complementary approaches, and the individual gaps of each approach seem to be, in the most part, offset by the virtues of the other. Practical implications This study enables decision makers and industrial managers to evaluate the practices adopted in the production environment, as well as the use of the different set of continuous improvement practices. This article also minimizes the literature gap regarding whether and how integrated Lean and TOC approach can be used in the firms. Originality/value This study contributes to the body of literature on Lean by comparing three different models integrating Lean and the TOC. Furthermore, a research agenda is suggested for future research aimed at developing new models integrating both approaches, aiming to increase the competitiveness of the production systems.

AUTOMATIZATION PROCESS PLANNING FOR UNIT’S MANUFACTORING BASED ON COMPLEX OF MEASURING – AND CONTROL’S PROCEDURES

2020 ◽  
pp. 27-33
Author(s):  
E. P. Reshetnikova ◽  
P. Yu. Bochkarev
Keyword(s):  
Production Planning ◽  
Process Planning ◽  
Production System ◽  
Production Systems ◽  
Automated Planning ◽  
Planning System ◽  
Planning Systems ◽  
Technological Processes ◽  
Manufacture Process ◽  
Promising Solution

An author suggests the method of improving the manufacture process of complex surface’s detail. It is determined by increasing the efficiency of manufacturing products, as well as increasing the level of productivity in the production system. Increasing the productivity of manufacturing details by creating modern production planning systems is currently an urgent direction for the development of a cluster of machining facilities in modern industry. The developed complex of measuring – and-control’s procedures in the automated planning system of multi-product technological processes is a promising solution for the introduction of digitalization of production and the transition to intelligent production systems of machining production.

An Ontology-Based Approach for Production Planning and Control of Cyber-Physical Production Systems

2020 ◽  
pp. 274-300
Author(s):  
Elvis Hozdić
Keyword(s):  
Production Planning ◽  
Manufacturing Systems ◽  
Production Systems ◽  
System Structure ◽  
Production Planning And Control ◽  
Planning And Control ◽  
Control Functions ◽  
Foundational Ontology ◽  
Cyber Physical Production Systems ◽  
And Control

The objective of this research is to develop a new ontology-based approach for the management and control of cyber-physical production systems (CPPSs). In the CPPSs, the management and control functions are integrated with a physical part of manufacturing system. The function of production planning and control of manufacturing systems (PPC) is an important part of the management and control of the CPPSs. The elements of the cyber system structure enable the dynamic management and control of manufacturing systems in real time, through the realization of the digitalized and cybernated functions of PPC. The proposed approach to management and control of the CPPSs is based on the foundational ontology of manufacturing systems. The digitalized production planning, scheduling, and control functions are implemented as a multi-agent system (MAS). The communication between agents was addressed to support the autonomic decision for each individual agent. A case study demonstrates feasibility of the approach through the use of simulation experiments.

scholarly journals Case Study of Building a Digital Twin for a Production System

2021 ◽  
Vol 29 (49) ◽  
pp. 51-58
Author(s):  
Fedor Burčiar ◽  
Pavel Važan ◽  
Simona Pulišová
Keyword(s):  
Production System ◽  
Industry 4.0 ◽  
Production Systems ◽  
Simulation Models ◽  
Cyber Physical Systems ◽  
Production Data ◽  
Physical Systems ◽  
Production Processes ◽  
Gathering Data

Abstract As the term of Industry 4.0 becomes more and more relevant with each passing day, it is up to researchers and companies to find solutions to integrating all the technologies it covers. One of those technologies, even though not highly developed, is simulation and building Cyber-Physical Systems for gathering data and improving the production processes. In the research described in this paper, we focused on integrating production data with simulation models in order to make the process of understanding and learning about complex production systems as simple and as quick as possible. This paper contains three sections. The first one introduces the theoretical fundamentals of our research. The second one focuses on the methods used to create a digital model of production system. The final one discusses the results of the conducted experiments, and their impact on further research.

Planung und Simulation einer CFK-Serienfertigung*/Planning and Simulation of a CFRP Production - Design of control concepts with the objective of automatic model generation

2016 ◽  
Vol 106 (04) ◽  
pp. 224-229
Author(s):  
M. Lütjen ◽  
M. Prof. Freitag
Keyword(s):  
Graphical Models ◽  
Model Transformation ◽  
Production Systems ◽  
Simulation Models ◽  
Automatic Generation ◽  
Model Generation ◽  
Model Based ◽  
Automatic Model Generation ◽  
Control Concept ◽  
Planning Methodology

In diesem Fachbeitrag wird die modellbasierte Planungsmethodik „Gramosa“ vorgestellt. Sie erlaubt eine automatische Generierung von Simulationsmodellen ausgehend von der graphischen Prozess- und Systemmodellierung. Im Schwerpunkt wird dabei auf die spezifischen Anforderungen der CFK (carbonfaserverstärkte Kunststoffe)-Serienfertigung sowie die Modellierung des Steuerungskonzepts und die Modelltransformation zur Simulation eingegangen.   In this paper, the model-based planning methodology “Gramosa“ is presented. The methodology allows an automatic generation of simulation models based on graphical models of processes and production systems. In this context, the paper focuses on the specific requirements of CFRP production as well as on the modeling of the control concept and the model transformation for the simulation.

scholarly journals EIPPM—The Executable Integrative Product-Production Model

Computers ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 72
Author(s):  
Dominik Schopper ◽  
Karl Kübler ◽  
Stephan Rudolph ◽  
Oliver Riedel
Keyword(s):  
Data Model ◽  
Production Systems ◽  
Simulation Models ◽  
Automatic Generation ◽  
Production Model ◽  
The Novel ◽  
Automatic Translation ◽  
Virtual Commissioning ◽  
Simulation Based ◽  
Novel Concept

In this paper, a combination of graph-based design and simulation-based engineering (SBE) into a new concept called Executable Integrative Product-Production Model (EIPPM) is elaborated. Today, the first collaborative process in engineering for all mechatronic disciplines is the virtual commissioning phase. The authors see a hitherto untapped potential for the earlier, integrated and iterative use of SBE for the development of production systems (PS). Seamless generation of and exchange between Model-, Software- and Hardware-in-the-Loop simulations is necessary. Feedback from simulation results will go into the design decisions after each iteration. The presented approach combines knowledge of the domain “PSs” together with the knowledge of the corresponding “product” using a so called Graph-based Design Language (GBDL). Its central data model, which represents the entire life cycle of product and PS, results of an automatic translation step in a compiler. Since the execution of the GBDL can be repeated as often as desired with modified boundary conditions (e.g., through feedback), a design of experiment is made possible, whereby unconventional solutions are also considered. The novel concept aims at the following advantages: Consistent linking of all mechatronic disciplines through a data model (graph) from the project start, automatic design cycles exploring multiple variants for optimized product-PS combinations, automatic generation of simulation models starting with the planning phase and feedback from simulation-based optimization back into the data model.

scholarly journals Innovative System for Scheduling Production Using a Combination of Parametric Simulation Models

2021 ◽  
Vol 13 (17) ◽  
pp. 9518
Author(s):  
Branislav Micieta ◽  
Jolanta Staszewska ◽  
Matej Kovalsky ◽  
Martin Krajcovic ◽  
Vladimira Binasova ◽  
...  
Keyword(s):  
Production System ◽  
Production Scheduling ◽  
Production Systems ◽  
Communication Channels ◽  
Simulation Models ◽  
Optimization Methods ◽  
Ratio Method ◽  
Critical Ratio ◽  
Scheduling Problems ◽  
Innovative System

The article deals with the design of an innovative system for scheduling piece and small series discrete production using a combination of parametric simulation models and selected optimization methods. An innovative system for solving production scheduling problems is created based on data from a real production system at the workshop level. The methodology of the innovative system using simulation and optimization methods deals with the sequential scheduling problem due to its versatility, which includes several production systems and due to the fact that in practice, several modifications to production scheduling problems are encountered. Proposals of individual modules of the innovative system with the proposed communication channels have been presented, which connect the individual elements of the created library of objects for solving problems of sequential production scheduling. With the help of created communication channels, it is possible to apply individual parameters of a real production system directly to the assembled simulation model. In this system, an initial set of optimization methods is deployed, which can be applied to solve the sequential problem of production scheduling. The benefit of the solution is an innovative system that defines the content of the necessary data for working with the innovative system and the design of output reports that the proposed system provides for production planning for the production shopfloor level. The DPSS system works with several optimization methods (CR—Critical Ratio, S/RO—Slack/Remaining Operations, FDD—Flow Due Date, MWKR—Most Work Remaining, WSL—Waiting Slack, OPFSLK/PK—Operational Flow Slack per Processing Time) and the simulation experiments pove that the most suitable solution for the FT10 problem is the critical ratio method in which the replaceability of the equipment was not considered. The total length of finding all solutions by the DPSS system was 1.68 min. The main benefit of the DPSS system is the combination of two effectively used techniques not only in practice, but also in research; the mentioned techniques are production scheduling and discrete computer simulation. By combining techniques, it is possible to generate a dynamically and interactively changing simulated production program. Subsequently, it is possible to decide in the emerging conditions of certainty, uncertainty, but also risk. To determine the conditions, models of production systems are used, which represent physical production systems with their complex internal processes. Another benefit of combining techniques is the ability to evaluate a production system with a number of emerging problem modifications.

Analysis and Simulation Methods of the Mechanisms for the Innovational Development

2019 ◽  
pp. 16-33
Author(s):  
Marta K. Isaeva
Keyword(s):  
Production Systems ◽  
Technological Development ◽  
Computer Experiment ◽  
Simulation Models ◽  
Construction Simulation ◽  
Technological Structure ◽  
Research Sector ◽  
Practical Trial ◽  
Construction Model ◽  
Computation Analysis

The paper dedicates in commemoration of K.A. Bagrinovsky, known scientist, doctor of economic sciences, professor. His thesis was theoretic problems of mathematical modeling and operation of economy. His works in the operations research, the methods making decision, the simulation were received in scientific world. The analysis and the modeling of the mechanisms for scientific and technological development for the production systems of different level in economic hierarchic both centrally controlled economy and making mechanism were conduced by Bagrinovsky in CEMI RAS. The paper presents the investigations (2001–2015) of the analysis and the simulation of the different mechanisms of the innovational activity. It also discusses the methods of the development the complex of the simulation models. In a sense simulation modeling is the science and the art as the selection of the salient parameters for the construction model, intake simplification, the computer experiment and the making decision based on scarcity of accuracy models rest on the heuristic power of men: the practical trial, the intelligence and the intuition. K.A. Bagrinovsky introduced the considerable endowment in the development of this direction for economic and mathematical investigation.The principal object was to show that the relationship between the innovational policy and the technological structure, scientific research sector and the introducing of the progressive production and the organizational structure is obtainable by the models. The character of these relationships may be to use in control of the parameters for the modernization economic. The construction simulation models and the experimental computation analysis were presented the investigations the different mechanisms of the innovational development ant the variants of the estimation have been accomplished on the modeling level by the computer experiment.

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