Digital Factory: Simulation Enhancing Production and Engineering Process

2018 ◽  
Author(s):  
Angella Thomas ◽  
David A. Guerra-Zubiaga ◽  
John Cohran
Keyword(s):  
System Integration ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Engineering Process ◽  
Research Activity ◽  
Digital Twins ◽  
Enhancing Production

Manufacturing system integration is an important industrial and research activity to explore Next Generation Automated Systems (NGAS). Manufacturing systems has been incorporating flexible, reconfigurable, smart and intelligent features. Advances in technology and trends such Industry 4.0 will revolutionize the manufacturing industry tremendously. Important subjects in this direction are Digital Twins, Internet of Things, and Collaborative Robots among others, are integral to continue the progression to create smart and reliable manufacturing processes. This paper aims to implement a method applying these concepts in a Flexible Manufacturing System (FMS) by providing a broad view of NGAS.

Stochastic Design Exploration with Rework of Flexible Manufacturing System Under Copula-Coverage Approach

2018 ◽  
Vol 25 (02) ◽  
pp. 1850007 ◽  
Author(s):  
Mangey Ram ◽  
Nupur Goyal
Keyword(s):  
System Reliability ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Reliability Measures ◽  
High Productivity ◽  
Reliability Characteristics ◽  
Production Environments

Manufacturing systems are increasingly becoming automated and complex in nature. Highly reliable and flexible manufacturing systems (FMSs) are the necessity of manufacturing industries to fulfill the increasing customized demands. Worldwide, FMSs are used in industries to attain high productivity in production environments with rapidly and continuously changing manufactured goods structures and demands. Reliability prediction plays a very significant role in system design in the manufacturing industry, and two crucial issues in the prediction of system reliability are failures of equipment and system configuration. This novel work presents a stochastic model to analyze the performance of an FMS through its reliability characteristics, in the concern of its equipment. To improve the reliability of FMS, determine the sensitivity of the reliability measures of FMS. FMS consists of many components such as machine tools like CNC, automatic handling and material storage, controller and robot for serving load. The designed system is studied by using the Markov process, supplementary variable technique, Laplace transformation, coverage factor and Gumbel–Hougaard family copula to obtain various reliability measures. For some realistic approach, particular cases and graphical illustrations are also obtained.

Performance optimization of a flexible manufacturing system using simulation: the Taguchi method versus OptQuest

SIMULATION ◽  
2019 ◽  
Vol 95 (11) ◽  
pp. 1085-1096 ◽  
Author(s):  
Abdessalem Jerbi ◽  
Achraf Ammar ◽  
Mohamed Krid ◽  
Bashir Salah
Keyword(s):  
Taguchi Method ◽  
Performance Optimization ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Flow Time ◽  
Mean Flow ◽  
Taguchi Optimization ◽  
Mean Flow Time

The Taguchi method is widely used in the field of manufacturing systems performance simulation and improvement. On the other hand, Arena/OptQuest is one of the most efficient contemporary simulation/optimization software tools. The objective of this paper is to evaluate and compare these two tools applied to a flexible manufacturing system performance optimization context, based on simulation. The principal purpose of this comparison is to determine their performances based on the quality of the obtained results and the gain in the simulation effort. The results of the comparison, applied to a flexible manufacturing system mean flow time optimization, show that the Arena/OptQuest optimization platform outperforms the Taguchi optimization method. Indeed, the Arena/OptQuest permits one, through the lowest experimental effort, to reliably minimize the mean flow time of the studied flexible manufacturing system more than the Taguchi method.

Mapping Structural Relationships Among the Critical Factors of FMS Flexibility

2019 ◽  
Vol 18 (03) ◽  
pp. 469-485
Author(s):  
Surinder Kumar ◽  
Tilak Raj ◽  
Rajesh Attri
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Excessive Competition ◽  
Structural Relationships ◽  
Manufacturing Organizations ◽  
Flexibility Options

The excessive competition in domestic as well as international market has forced the manufacturing organizations to adopt advance manufacturing systems such as flexible manufacturing system (FMS). Adoption of these systems has resulted into increased productivity and better quality products. In order to continue their presence in cut-throat competitive environment, the manufacturing organizations are exploring the flexibility options of FMS. In order to analyze the flexibility options of FMS, an endeavor has been performed to identify the critical factors (CFs) that are pertinent to the flexibility of FMS. These CFs have a reflective impact in designing of FMS. After ascertaining these CFs, interpretive structural modeling (ISM) and MICMAC approach have been used to establish the structural relationships among these CFs to develop a hierarchical model. The verdicts of this exploration may assist managers to analyze the flexibility options of FMS in their organizations.

Modelling and Design of Closed-Loop Manufacturing Systems

2013 ◽  
Vol 378 ◽  
pp. 367-374 ◽  
Author(s):  
Andrey A. Kutin ◽  
Mikhail Turkin
Keyword(s):  
Analytical Method ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Closed Loop ◽  
Production Systems ◽  
Finite Buffers ◽  
Unreliable Machines

This paper introduces an analytical method for evaluating the performance of closed loop manufacturing systems with unreliable machines and finite buffers. The method involves transforming an arbitrary loop into one without thresholds and then evaluating the transformed loop using a new set of decomposition equations. It is more accurate than existing methods and is effective for a wider range of cases. The convergence reliability, and speed of the method are also discussed. In addition, observations are made on the behavior of closed loop production systems under various conditions. Finally, the method is used in a case study to design a flexible manufacturing system for production of aerospace parts.

Characteristics Analysis of Flexible Manufacturing Systems

2013 ◽  
Vol 329 ◽  
pp. 172-175
Author(s):  
Jin Feng Wang ◽  
Guang Feng Zhang ◽  
Xian Zhang Feng
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing Industry ◽  
Production Efficiency ◽  
Manufacturing System ◽  
Learning System ◽  
Machining Process ◽  
Characteristics Analysis

For the rigid automatic line, although its production efficiency is high, but the flexible is less in the machining process, the machine and the assembly line need be shut down to adjust or replace for machine tools, jigs, tools, and tooling equipment, etc. When the work pieces for the machining is changed. It caused a heavy workload, wasting a lot of time. Flexible Manufacturing Systems consisted of unified control system, material handling system and a set of digital control processing equipment; it is the automation machinery manufacturing system to adapt the processing object transform. It has become one of the important means of manufacturing industry to obtain the advantages of market competitiveness. This paper gives the composition, algorithm and application of learning system concept, composition, and classification, characteristics of the flexible manufacturing system, the development overview and its application are induced in this paper.

Flexible Manufacturing System for Drawingless Manufacturing

2013 ◽  
Vol 581 ◽  
pp. 527-532
Author(s):  
Peter Košťál ◽  
Daynier Rolando Delgado Sobrino
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
3D Model ◽  
Fast Reaction ◽  
Technological Data ◽  
Geometrical Data ◽  
Production Conditions

Flexible Manufacturing Systems provide a fast reaction possibility to the changes in production conditions. As production conditions change, other changes in the final product like changes of the product variants, or other unpredictable events may be also expected. For achieving a quick responsibility of production, it is necessary to leave the traditional form of production process planning. Nowadays most of the products are designed by using the CAx software. The product design 3D model contains not only the geometrical data of product, but may contain a part of the process plan and technological data as well.

The Cycle Time Stochastic Distributions in Simulation of Manufacturing Systems

2015 ◽  
Vol 809-810 ◽  
pp. 1426-1431
Author(s):  
Elena Iuliana Gingu Boteanu ◽  
Miron Zapciu ◽  
Cristina Mohora
Keyword(s):  
Cycle Time ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Probability Distributions ◽  
System Simulation ◽  
Modelling And Simulation ◽  
Discrete Events ◽  
Manufacturing Line

The paper presents a theme of research through the analysis of flows' modelling and simulation in a flexible manufacturing system. It is studied the simulation with discrete events of a real manufacturing line with the software Delmia Quest. The objectives of this paper are to modelling and simulate the manufacturing system and to choose the properly probability distributions of a cycle time of each machine from this layout. A comparison of three distributions is presented and SCL implemented program will automatically display the values resulting from the manufacturing system simulation.

A Comprehensive Approach of Advanced Error Troubleshooting in Intelligent Manufacturing Systems

2013 ◽  
Vol 404 ◽  
pp. 631-634 ◽  
Author(s):  
Lehel Csokmai ◽  
Ovidiu Moldovan ◽  
Ioan Constantin Tarca ◽  
Radu Tarca
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Production Systems ◽  
Error Recovery ◽  
Intelligent Manufacturing ◽  
Open Issue ◽  
New Type ◽  
Framework System

Production systems must be flexible and endowed with techniques and tools allowing an automatic recovery of errors. And so, the subject of error recovery in flexible manufacturing system is always an open issue. The objective of this work consists in proposing a new type of software framework for error troubleshooting in a flexible manufacturing system that is perceived as an Intelligent Space (iSpace). Our framework system is designed to solve the failures in the functioning of the FMS and to generate self-training from previous experience.

Energy-aware integration of process planning and scheduling of advanced machining workshop

2016 ◽  
Vol 231 (11) ◽  
pp. 2040-2055 ◽  
Author(s):  
Chaoyang Zhang ◽  
Pingyu Jiang ◽  
Lei Zhang ◽  
Peihua Gu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Process Planning ◽  
System Integration ◽  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Planning And Scheduling ◽  
Asymmetric Traveling Salesman Problem ◽  
Advanced Machining

Increasing energy consumption of manufacturing industry demands novel approaches to achieve energy conservation and emission reduction. Most of the previous research efforts in this area focused more on analyzing manufacturing energy consumption of a process or that of a machine tool with less concern on the system level of advanced machining workshop, especially a flexible manufacturing system. In this article, a new energy-saving approach of flexible manufacturing system is put forward based on energy evaluation model for integration of process planning and scheduling problem in flexible manufacturing system (flexible manufacturing system-integration of process planning and scheduling). First, complying with feature precedence and other technological requirements, flexible manufacturing system -integration of process planning and scheduling is mapped as an asymmetric traveling salesman problem of which operations are provinces and candidate operations are cities belonging to different provinces. To evaluate the performance of each solution of the asymmetric traveling salesman problem, energy consumption evaluation criteria for flexible manufacturing system-integration of process planning and scheduling are established and three energy efficiency indicators are also provided to perform further analysis on manufacturing energy consumption, that is, part energy efficiency, machine tool energy efficiency and feasible solution energy efficiency. Then, a mutation-combined ant colony optimization algorithm is proposed to solve the flexible manufacturing system-integration of process planning and scheduling which combined roulette and mutation selection methods to pick out the next candidate operation. The pheromone trails associated with edges are released by the so-far-best ant or the iteration-best ant probabilistically to both keep the search directed and avoid converging to the local best. Finally, a case study of flexible manufacturing system in advanced machining workshop is employed to demonstrate the feasibility and applicability of this approach in three different scenarios and compared with the “process planning then scheduling” approach; energy consumption obtained by the proposed method drops 10.7%.

FORFMS: A FORTRAN Simulation and Analysis Model for Flexible Manufacturing Systems

1993 ◽  
Author(s):  
Chienann Hou ◽  
Milton Bennett
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Control Strategies ◽  
General Purpose ◽  
Time Interval ◽  
Analysis Model ◽  
Transfer Lines ◽  
High Production

Abstract The flexible manufacturing system (FMS) is designed to fill the gap between high-production transfer lines and low-production NC machines by optimized utilization of tools and machines. This paper describes a general purpose simulation and analysis model, FORFMS, for the study of flexible manufacturing system. The model is PC based and programmed in FORTRAN with fixed-increment time interval mechanism. A case study of a FMS with six workstations was conducted to evaluate the system performance and to examine control strategies.

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