Evaluation of cellular manufacturing configurations in dynamic conditions using simulation

Renna, Paolo; Ambrico, Michele

doi:10.1007/s00170-011-3255-0

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…Computer simulation methods, especially discrete event simulation (DES), are the most universal and are widely used [7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

2020

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The problem of production flow and evaluation of productivity in the manufacturing line is analysed. Machines can be operated by humans or by robots. Since breakdowns and human factors affect the destabilization of the production processes, robots are preferred. The main problem is a proper methodology—how can we determine the real difference in work efficiency between human and robot at the design stage? Therefore, an analysis of the productivity and reliability of the machining line operated by human operators or industrial robots is presented. Some design variants and simulation models in FlexSim have been developed, taking into consideration the availability and reliability of the machines, operators and robots. Traditional productivity metrics, such as the throughput and utilization rate, are not very helpful for identifying the underlying problems and opportunities for productivity improvement in a manufacturing system, therefore we apply the OEE (overall equipment effectiveness) metric to present how the availability and reliability parameters influence the performance of the workstation, in the short and long terms. The implementation results of a real robotic line from industry are presented with the use of the overall factory efficiency (OFE) metric. The analysis may help factories achieve the level of world class manufacturing.

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“…Computer simulation methods, especially discrete event simulation (DES), are the most universal and are widely used [7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

2020

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“…Often, analytical models impose some limitations such as the utilization of deterministic variables and the utilization of a restricted set of performance measures, which make some tasks (e.g., inventory buffers dimensioning) difficult to accomplish. Furthermore, most comprehensive analytical models often require large computation times to obtain solutions for medium/large sized problems [3].…”

Section: Simulation For Dynamic Analysismentioning

confidence: 99%

A Simulation-Based Analysis of a Gas Filling Process

Ramos¹,

Ferreira²,

Lopes³

et al. 2016

dtetr

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Abstract. Simulation models are a powerful engineering tool to analyze the performance of complex systems enabling the comparison of different scenarios and the evaluation of a considerable set of dynamic key performance indicators. This dynamic evaluation supports decision-making by helping operations managers to compare options and to choose the best course of action. This work presents a real-world industry case study illustrating the advantages of using simulation to analyze the current system and evaluate different scenarios of operation. The case study refers to a gas filling process which combines a continuous part (gas tanks' operation) with a discrete one (filling of gas into the cylinders). The mishmash of continuous and discrete operations is a challenge for modelling & simulation, involving a combined approach not always easy to accomplish. Results lead to the conclusion that the company is able to keep the production levels while reducing the number of dedicated tanks, thus opening up the possibility of exploring other business opportunities.

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“…The mathematical model generates the machine-part matrix while minimizing the total number of inter-cell transfers, and the axiomatic design principle–based heuristics design the flow line and estimate backflow within the cells. Renna and Ambrico 8 investigate the performance of classical cellular manufacturing systems, comparing them with fractal cells and cellular manufacturing systems with remainder cells in dynamic contingencies such as machine breakdowns, product mix changes, demand fluctuations, and processing time variability. The performance metrics include throughput, throughput times of the parts, work in process (WIP), manufacturing utilization, and due date performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-agent-based scheduling methods for hybrid cellular production lines in semiconductor industry

Kim

Chung

Yoon

2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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This article addresses scheduling problems for the hybrid cellular production lines in the semiconductor industry, in which the hybrid cellular production line is defined as the production system composed of both single-functional and multi-functional cellular layouts. Detailed system configuration and material flow of a hybrid cellular production line are presented, and then, the scheduling problems in the hybrid cellular production line are separated into an inter-cell scheduling problem and intra-cell scheduling problems. A multi-agent-based scheduling method is proposed for the inter-cell scheduling problem, and a real-time heuristic scheduling method is proposed for the intra-cell scheduling problem. In the simulation experiments, various scenarios have been compared under the proposed inter-cell and intra-cell scheduling methods with the hybrid cellular production line composed of six cells.

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Evaluation of cellular manufacturing configurations in dynamic conditions using simulation

Cited by 10 publications

References 20 publications

Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

A Simulation-Based Analysis of a Gas Filling Process

Multi-agent-based scheduling methods for hybrid cellular production lines in semiconductor industry

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