The state of the art on buffer allocation problem: a comprehensive survey

Demir, Leyla; Tunalı, Semra; Eliiyi, Deniz Türsel

doi:10.1007/s10845-012-0687-9

Cited by 133 publications

(67 citation statements)

References 90 publications

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“…It is an NP-hard combinatorial optimization problem in the design of production lines and the issue is studied by many scientists and theorists around the world. The buffer allocation problem is concerned with the allocation of a certain number of buffers P , among the N −1 intermediate buffer locations of a production line to achieve a specific objective [2]. A production line consists of machines connected in a series and separated by buffers (Fig.…”

Section: The Buffer Allocation Problem (Bap)mentioning

confidence: 99%

“…The BAP can be formulated in three cases depending on the objective function [2]. In the first case, the main objective is the maximization of the throughput rate for a given fixed number of buffers.…”

Section: The Buffer Allocation Problem (Bap)mentioning

confidence: 99%

“…The buffer allocation problem is an NP-hard combinatorial optimization problem well known in the research area of industrial engineering [1][2][3]. On the one hand, the proper allocation of buffer capacities in production lines can result in an increase in the total effectiveness of the production system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Using Computer Simulation Method to Improve Throughput of Production Systems by Buffers and Workers Allocation

Kłos¹,

Trebuňa²

2015

Management and Production Engineering Review

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Accepted: 14 September 2015 This paper proposes the application of computer simulation methods to support decision making regarding intermediate buffer allocations in a series-parallel production line. The simulation model of the production system is based on a real example of a manufacturing company working in the automotive industry. Simulation experiments were conducted for different allocations of buffer capacities and different numbers of employees. The production system consists of three technological operations with intermediate buffers between each operation. The technological operations are carried out using machines and every machine can be operated by one worker. Multi-work in the production system is available (one operator operates several machines). On the basis of the simulation experiments, the relationship between system throughput, buffer allocation and the number of employees is analyzed. Increasing the buffer capacity results in an increase in the average product lifespan. Therefore, in the article a new index is proposed that includes the throughput of the manufacturing system and product life span. Simulation experiments were performed for different configurations of technological operations.

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Section: The Buffer Allocation Problem (Bap)mentioning

confidence: 99%

Section: The Buffer Allocation Problem (Bap)mentioning

confidence: 99%

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Using Computer Simulation Method to Improve Throughput of Production Systems by Buffers and Workers Allocation

Kłos¹,

Trebuňa²

2015

Management and Production Engineering Review

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“…The Buffer Allocation Problem (BAP) can be defined in three different ways by means of different objective functions as presented in [1]. These objective functions are expressed taking into account the maximum performance rate in a production line, the minimum buffer size to obtain a fixed throughput rate, and minimizing the average inventory of work in process.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks

et al. 2018

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The problem of assigning buffers in a production line to obtain an optimum production rate is a combinatorial problem of type NP-Hard and it is known as Buffer Allocation Problem. It is of great importance for designers of production systems due to the costs involved in terms of space requirements. In this work, the relationship among the number of buffer slots, the number of work stations, and the production rate is studied. Response surface methodology and artificial neural network were used to develop predictive models to find optimal throughput values. 360 production rate values for different number of buffer slots and workstations were used to obtain a fourth-order mathematical model and four hidden layers' artificial neural network. Both models have a good performance in predicting the throughput, although the artificial neural network model shows a better fit ( = 1.0000) against the response surface methodology ( = 0.9996). Moreover, the artificial neural network produces better predictions for data not utilized in the models construction. Finally, this study can be used as a guide to forecast the maximum or near maximum throughput of production lines taking into account the buffer size and the number of machines in the line.

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“…The critical literature overview in the area of buffer allocation and production line performance was done by Battini, Persona and Regattieri [14] while Demir, Tunali and Eliiyi proposed a classification scheme to review the studies and presented a comprehensive survey on the buffer allocation problem in production systems [15]. Stanley and Kim presented the results of simulation experiments carried out for buffer allocations in closed, series-production lines [16].…”

Section: Introductionmentioning

confidence: 99%

The Impact of the Availability of Resources, the Allocation of Buffers and Number of Workers on the Effectiveness of an Assembly Manufacturing System

Kłos

Trebuňa

2017

Management and Production Engineering Review

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Accepted: 31 May 2017 This paper proposes the application of computer simulation methods in order to analyse the availability of resources, buffers and the impact of the allocation of workers on the throughput and work-in-progress of a manufacturing system. The simulation model of the production system is based on an existing example of a manufacturing company in the automotive industry. The manufacturing system includes both machining and assembly operations. Simulation experiments were conducted vis-à-vis the availability of the different manufacturing resources, the various allocations of buffer capacities and the number of employees. The production system consists of three manufacturing cells -each cell including two CNC machines -and two assembly stations. The parts produced by the manufacturing cells are stored in buffers and transferred to the assembly stations. Workers are allocated to the manufacturing cells and assembly stations, but the number of workers may be less than number of workplaces and are thus termed 'multi-workstations'. Using computer simulation methods, the impact of the availability of resources, the number of employees and of the allocation of buffer capacity on the throughput and work-in-progress of the manufacturing system is analysed. The results of the research are used to improve the effectiveness of manufacturing systems using a decision support system and the proper control of resources. Literature analysis shows that the study of the impact of buffer capacities, availability of resources and the number of employees on assembly manufacturing system performance have not been carried out so far.

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The state of the art on buffer allocation problem: a comprehensive survey

Cited by 133 publications

References 90 publications

Using Computer Simulation Method to Improve Throughput of Production Systems by Buffers and Workers Allocation

Using Computer Simulation Method to Improve Throughput of Production Systems by Buffers and Workers Allocation

Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks

The Impact of the Availability of Resources, the Allocation of Buffers and Number of Workers on the Effectiveness of an Assembly Manufacturing System

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