Analysis of manufacturing systems by the Research Queueing Package (original) (raw)
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European Journal of Operational Research, 1996
Queueing network modeling of manufacturing systems has been addressed by a large number of researchers. The purpose of this paper is to provide a bibliography of material concerned with modeling of production and transfer lines using queueing networks. Both production and transfer lines have a product-flow layout and are used in mass manufacturing. We denote production lines as flow lines with asynchronous part transfer, while transfer lines have synchronous part transfer. As well as providing a bibliography of material, a contribution of this paper is also the systematic categorization of the queueing network models based on their assumptions. This, it is hoped, will be of use to researchers of queueing networks and also manufacturing system designers. A number of suggestions are also given for further research. The basic source for this work is the book by Papadopoulos, Heavey and Browne, with the addition of the newly published papers and books (from 1992 to early 1995).
Manufacturing System Modeling and Performance
Today's scenario all manufacturing organizations are moving rapidly to adopt new process modeling, performance analysis through simulation, in order to design a new costeffective system. Organizations made several changes in their manufacturing systems to increase profit and to sustain their significance in global markets. Simulation modeling is a well accepted technique for improving process performance. In this study, the mineral water company operates the production line with less throughput, long cycle times, frequent machine failures and insufficient utilization of its resources. A simulation model is developed for the successful bottling and packaging of the production line by using Arena simulation software. The model is developed for AMWSC packaging process for returnable glass bottle Production Line. This model eliminates the bottlenecks in production line and provides optimal performance. By applying Effective Preventive Maintenance Strategy, the production line throughput is increased from 21.12% to 54.03% and the cycle time is reduced by 33.33%.
Modelling and analysis of manufacturing systems: a review of existing models
International Journal of Product Development, 2010
Manufacturing system models with unreliable machines and buffers have received much attention in the past five decades. While the first studies considered only two machines and one buffer in series, the most recent ones can consider much more and present various configurations (parallel, assembly/disassembly, rework path, feed-forward path or any combination of these). By using indicators-such as the global production rate, probability of idleness and average buffer level-to evaluate the performance of such systems, it may give one the opportunity to determine the buffer sizing. This paper presents an overview of analytical manufacturing system models, starting from a two-machine-one-buffer model towards a complex manufacturing system integrating assembly/disassembly networks, rework loops and feed-forward loops.
Simulation of Queues in Manufacturing Systems
Using of modeling and simulation in manufacturing and assembling scheduling is a necessity required by the fact that these systems have to satisfy more and more divers queries from the market, like widening of product ranges, increasing quality and precise delivery time. A queue requires the setup of a space and the design of equipments in which the parts can be stored. In these cases the simulation can help in definig the dimensions of the storage spaces and in establishing the required equipments.
Applications of queueing structures in manufacturing systems
Computers & Industrial Engineering, 1986
This survey paper discusses and, to some extent, identifies manufacturing subsystems that can be represented using accepted queueing models. Aggregate performance measures can be obtained through application of these models. Depending on the complexity of the congestion characteristics of the system, the standard results from queueing theory texts may yield guidelines for selection of optimal operational parameters.
JCSB 08 187 Workers and machine performance modeling in Manufacturing
This paper deals with the workers and machine performance measurements in manufacturing system. In simulating the manufacturing system, discrete event simulation involves the modeling of the system as it improves throughput time and is particularly useful for modeling queuing systems. In modeling this system, an ARENA simulation model was developed, verified, and validated to determine the daily production and potential problem areas for the various request levels in the case company (Ethiopia Plastic Factory). The results obtained show that throughput time in the existing system is low because of occurrence of bottlenecks, and waiting time identified. Therefore, some basic proposals have been drawn from the result to raise awareness of the importance of considering human and machine performance variation in such simulation models. It presents some conceptual ideas for developing a worker manager for representing worker and machine performance in manufacturing systems simulation models. The company workers' and machine performance level is raised by identifying the bottle neck area. They were recommended to amend the main basic bottle necks identified.
The Determination and Indetermination of Service Times in Manufacturing Systems
IEEE Transactions on Semiconductor Manufacturing, 2000
The notion of service times is of such fundamental importance in the analysis of queues that it has long been taken for granted. Intuitively, it is used to represent the time interval that a server is capable of completing a dispatched job. However, actual measurements of service times under simple queues in production lines have encountered practical difficulties, in spite of its seemingly deterministic nature. Previous studies have introduced concepts of effective process times to quantify service times. Besides notions of theoretical processing times, raw process times and queueing times, among others, are commonly used in various applications. Their existence causes confusion in the determination of service times and clarification of such terminologies is needed. A simple model is examined to quantify the various concepts and establish their interrelationships. This paper brings out new properties of effective process times with a dynamic dependence on utilization. Discrete event simulations are conducted to verify these properties and explain the phenomenon of indetermination of service times. Both theoretical prediction and simulation results show that unless the system is fully loaded, service time and effective process time are not equivalent and it cannot be measured directly from observations of effective process times. Index Terms-Cycle time, effective process time, queueing time, service time, takt time, theoretical processing time, utilization.
Performance Improvement
With ever-increasing global competition, continuously enhancing the overall efficiency of the manufacturing lines is an important goal for many organizations. Given the variety of disturbances in such lines that continue to occur with surprise, deft handling of dis turbances is a key concern for more reliable and robust manufacturing systems. Through a case study of parallel manufacturing processes from an Indian automotive industry, this paper makes an attempt to analyze the underlying dynamics of the processes and the nature of the disturbances, and to offer an approach to enhance effectiveness and efficiency. A discrete event simulation framework is used to map the manufacturing system and to identify the various disturbances in it. Thereafter, various scenarios are generated that includes effects of product change, technology change, cycle time change, and worker-competency towards designing an optimal set of process and decision parameters through the design of experiment analysis for an overall performance improvement of the system.
A Multiclass Queueing Model for Manufacturing Systems
IFAC Proceedings Volumes, 1995
University "POLI1t.HA']C4 " of Bucharest-Faculty of Control and Computers AbstractThe paper analyses a class of manufacturing systems that may be modelled as discrete-event systems with multiple queues. The model need a definition of events. and of the state vector. With this definition. a multiclass queueing model is proposed, to consider each workpost as a single-server queueing system with multiple classes of customers. Gradient estimators for performance measures of the system (mean system time. throughput. blocking probabilities) are derived using perturbation analysis technique. Simulation examples are included and a few experimental results are reported to illustrate the properties of the proposed model.