Design of Simulation Model for Production Scheduling in Flexible Manufacturing Systems

2011 ◽  
Vol 230-232 ◽  
pp. 814-818
Author(s):  
Bin Zeng ◽  
Rui Wang ◽  
Hong Yu Chen
Keyword(s):  
Simulation Model ◽  
Production Scheduling ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Computer Integrated Manufacturing ◽  
Computer Simulation Model ◽  
Mean Flow ◽  
Control Logic ◽  
Mean Flow Time

The complex interaction and the high costs of modern manufacturing systems make it necessary to evaluate their use performance. Production scheduling problem is one of the key problems of research of manufacturing systems since with a proper scheduling, the utilization of resources is optimized and orders are produced on time which improves the shop performance and associated cost benefits. However the complexity of modern production systems makes the use of analytical tools more difficult. Thus a computer simulation model of the existing computer integrated manufacturing system based on the control logic that describes the operation of the system is developed to test the performance of different scheduling rules with respect to mean flow time, machine efficiency and total run time as performance measures. According to the results of experiments, the model agrees with the real system.

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.

scholarly journals A Novel MOEA/D for Multiobjective Scheduling of Flexible Manufacturing Systems

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Xinnian Wang ◽  
Keyi Xing ◽  
Chao-Bo Yan ◽  
Mengchu Zhou
Keyword(s):  
Resource Sharing ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Hamming Distance ◽  
Objective Functions ◽  
Mean Flow ◽  
Mean Flow Time ◽  
Mean Tardiness ◽  
Discrete Differential Evolution

This paper considers the multiobjective scheduling of flexible manufacturing systems (FMSs). Due to high degrees of route flexibility and resource sharing, deadlocks often exhibit in FMSs. Manufacturing tasks cannot be finished if any deadlock appears. For solving such problem, this work develops a deadlock-free multiobjective evolutionary algorithm based on decomposition (DMOEA/D). It intends to minimize three objective functions, i.e., makespan, mean flow time, and mean tardiness time. The proposed algorithm can decompose a multiobjective scheduling problem into a certain number of scalar subproblems and solves all the subproblems in a single run. A type of a discrete differential evolution (DDE) algorithm is also developed for solving each subproblem. The mutation operator of the proposed DDE is based on the hamming distance of two randomly selected solutions, while the crossover operator is based on Generalization of Order Crossover. Experimental results demonstrate that the proposed DMOEA/D can significantly outperform a Pareto domination-based algorithm DNSGA-II for both 2-objective and 3-objective problems on the studied FMSs.

Production Scheduling of Flexible Manufacturing Systems

CIRP Annals ◽  
1982 ◽  
Vol 31 (1) ◽  
pp. 319-322 ◽  
Author(s):  
K. Iwata ◽  
A. Murotsu ◽  
F. Oba ◽  
K. Yasuda ◽  
K. Okamura
Keyword(s):  
Production Scheduling ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems

Concept to Support the Flexibility of Manufacturing System through Reconfigurable Structure Based on Modular Design

2015 ◽  
Vol 816 ◽  
pp. 536-546
Author(s):  
Vladimír Rudy ◽  
Andrea Lešková
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Structural Changes ◽  
Modular Design ◽  
Production Systems ◽  
Low Cost ◽  
Modular Construction ◽  
Production Platform ◽  
Flexible Adaptation ◽  
Reconfigurable Structure

This article deals about the challenges of structural changes in manufacturing conditions. The objective of this paper is to present the modular workstations concept based on miniaturization and re-configurability trends. The article is aimed at problems of designing of production systems with a modular construction structure. The modular structure allows an individual and flexible adaptation to varying requirements but also the realization of low-cost solutions for creation of new or modernized production base. The goal is to present the example of modular workstations solutions that correspond with new designing approach. The specification of basics principles, which should help to designing flexible manufacturing systems, discussed in this paper are: modularity; integrability; convertibility; diagnosability; customization. The theoretical part provides an overview of fundamental design principles in manufacturing structures. In the first part of this article are discussed the specification of basic flexibility types in production system and the main impacts influencing design of manufacturing structures. The closing section of the article provides the specification of example solution of adjustable production platform with modular frame (called desktop factory).

Computer simulation model of swine production systems: III. A dynamic herd simulation model including reproduction

1991 ◽  
Vol 69 (7) ◽  
pp. 2822-2836 ◽  
Author(s):  
Cándido Pomar ◽  
Dewey L. Harris ◽  
Philippe Savoie ◽  
Francis Minvielle
Keyword(s):  
Computer Simulation ◽  
Simulation Model ◽  
Production Systems ◽  
Computer Simulation Model ◽  
Swine Production

A Modeling and Design Method for Flexible Manufacturing System Controller Software

1996 ◽  
Author(s):  
Paul C. Xirouchakis
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Design Method ◽  
Conveyor Belt ◽  
Computer Integrated Manufacturing ◽  
Concurrent Software ◽  
Material Transportation ◽  
Analysis Models ◽  
System Controller ◽  
And Storage

Abstract “Entity-life modeling” (ELM) is a general method for the modeling and design of concurrent software. One area where it can applied is for the control software for flexible manufacturing systems (FMS). The application of ELM allows the integration and overall control of the operation of the numerically controlled machinery, the material transportation and storage facilities into automated factories within the context of computer integrated manufacturing (CIM). The development of flexible manufacturing has been hampered by the lack of such a general approach to FMS software design. ELM is based on the principle that processes and objects in the software are patterned after concurrent “threads of events” and objects in the problem domain. A job in an FMS represents such a thread with events such as “pick from storage”, “place on stand”, etc., which all occur sequentially and with certain time intervals. Several job threads are in progress simultaneously as different jobs are being processed. In the software, a thread of events is represented by a process, such as an Ada task. The direct coupling between the analysis and an efficient control-system software implementation is an advantage over other analysis models, such as Petri nets. A simple FMS is used as an example. It consists of a storage facility and a number of numerically controlled workstations. A conveyor belt is used for the transportation of parts between storage and workstations and between workstations.

Nonblocking Supervisory Control of Flexible Manufacturing Systems Based on State Tree Structures

2013 ◽  
pp. 1-19 ◽  
Author(s):  
Wujie Chao ◽  
Yongmei Gan ◽  
W. M. Wonham ◽  
Zhaoan Wang
Keyword(s):  
Supervisory Control ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Discrete Event ◽  
Control Logic ◽  
Tree Structures ◽  
Powerful Approach ◽  
State Tree ◽  
Controllable Event

Much research has been addressed to nonblocking supervisory control of Discrete-Event Systems (DES) such as Flexible Manufacturing Systems (FMS), and a variety of approaches have been developed. One especially powerful approach, due to Chuan Ma, is based on DES representation by means of State Tree Structures (STS). Using STS, this chapter develops nonblocking supervisory control of a well-known benchmark FMS example taken from the literature, for which the description was given originally as a Petri net. The authors straightforwardly obtain the optimal (maximally permissive) and nonblocking supervisory control, and display the control logic for each (controllable) event transparently as a binary decision diagram.

Proposal of an Architecture based on RAMI 4.0 Layers for Flexible Manufacturing in Industry 4.0

2020 ◽  
Author(s):  
José Z. Neto ◽  
Joel Ravelli Jr ◽  
Eduardo P. Godoy
Keyword(s):  
Flexible Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Three Dimensional ◽  
Reference Architecture ◽  
Architecture Model ◽  
Industrial Internet ◽  
Integration Architecture ◽  
Rapid Changes

The Industry 4.0 (I4.0) together with the Industrial Internet of Things (IIoT) enable business productivity to be improved through rapid changes in production scope in an increasingly volatile market. This technology innovation is perceived by integrating manufacturing systems, managing business rules, and decentralizing computing resources, enabling rapid changes in production systems. The Reference Architecture Model for Industry 4.0 (RAMI 4.0) is a three-dimensional layer model to support I4.0 applications. One of the major challenges for adopting RAMI 4.0 is the development of solutions that support the functionality of each layer and the necessary interactions between the elements of each layer. This paper focuses on the proposal of architecture for flexible manufacturing in I4.0 using all the Information Technology (IT) Layers of the RAMI 4.0. In order to enable a standardized and interoperable communication, the architecture used the OPC-UA protocol to connect the low layers elements in the factory perspective and REST APIs to connect the high layers in the business perspective. The integration architecture creates an online interface to provide the client the ability to enter, view, and even modify an order based on their needs and priorities, enabling the industry to implement rapid changes to adapt to the marketplace.

Expert Systems: Implications for Operations Management

1990 ◽  
Vol 90 (6) ◽  
pp. 12-16
Author(s):  
Yunus Kathawala
Keyword(s):  
Expert Systems ◽  
Process Design ◽  
Operations Management ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Control Process ◽  
Computer Integrated Manufacturing ◽  
Design Quality ◽  
Operations Planning

Several examples of successful expert systems applications are presented. Examples of expert systems as applied in process planning, operations planning, inventory control, process design, quality control and scheduling are covered, and the performance of these expert systems is described. Expert systems will become an essential part of computer‐integrated manufacturing (CIM) and flexible manufacturing systems (FMS) because they can perform several of the tasks mentioned above.

Modeling and Analysis for Minimization of Mean Flow Time in FMS Simulation

2015 ◽  
Vol 14 (04) ◽  
pp. 235-245 ◽  
Author(s):  
A. Sreenivasulu ◽  
N. Venkatachalapathi ◽  
G. Prasanthi
Keyword(s):  
Flexible Manufacturing ◽  
Model Simulation ◽  
Discrete Event ◽  
Decision Rules ◽  
Mean Flow ◽  
Tool Selection ◽  
Modeling And Analysis ◽  
Mean Flow Time ◽  
Part Sequencing ◽  
Central Buffer

The aim of this paper is to deal with a simulation study on effect of part launching, part sequencing at central buffer and tool selection rules on a flexible manufacturing system (FMS) involving tool movement along with part movement policy. A typical FMS is selected for a study of discrete event simulation model. Simulation experiments are conducted on various combinations of decision rules and it is found to be good in evaluated performance measures.

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