A stochastic programming model for resequencing buffer content optimisation in mixed-model assembly lines

Günay, Elif Elçin; Kula, Ufuk

doi:10.1080/00207543.2016.1227101

Cited by 13 publications

(3 citation statements)

References 20 publications

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“…Additionally, SAA is desirable because the optimal solutions of a problem are computationally tractable (Bertsimas et al 2018). SAA derives a robust firststage decision, which achieves the best average performance of the system considering uncertainty, by repeatedly solving the SAA problem (Schütz et al 2009, Günay andKula 2017).…”

Section: Sample Average Approximationmentioning

confidence: 99%

Integration of product architecture and supply chain under currency exchange rate fluctuation

2021

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Various studies have discussed the coordination of product and supply chain design decisions for global supply chain management. However, the impact of currency exchange rate uncertainty on the selection of product architectures and their suppliers has not been sufficiently addressed. As a response, this study proposes a two-stage stochastic optimization model in which the first stage determines the product architecture, and the second stage identifies suppliers for the modules and components in an optimal fashion based on the product architecture and uncertain currency exchange rates. The overall objective of twostage stochastic programming is to determine the optimal product architecture that minimizes the expected total supply chain cost over uncertain currency exchange rate scenarios. The proposed model is applied to a bicycle supply chain case study for three global marketplaces associated with multiple currency exchange rates. The results demonstrate that optimal product architecture and its suppliers should be varied based on currency exchange rates and their uncertain fluctuation levels. Also, a product architecture for the supply chain of each marketplace maintains its optimality in the total supply chain cost, up to a specific exchange rate. The findings show the importance of joint integration between product and supply chain design when considering currency exchange rates. Additionally, the benefit of stochastic modelling is demonstrated by comparing the solution quality of the model with its deterministic counterpart.

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Section: Sample Average Approximationmentioning

confidence: 99%

Integration of product architecture and supply chain under currency exchange rate fluctuation

2021

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“…At present, auto parts, mobile phones, household appliances, and other manufacturing lines have realized automated rapid manufacturing assembly and testing [6][7][8][9] . According to the characteristics of small satellite production, a production line assembly model based on pulsation has been proposed at home and abroad, and based on this model, in-depth research has been conducted [10][11][12][13][14][15][16] . The satellite attitude and orbit control subsystem is a key subsystem of the satellite, and its testing is a complicated link.…”

Section: Introductionmentioning

confidence: 99%

Research on rapid batch test technology of small satellite attitude and orbit control system

Zhang,

Li,

Dai

et al. 2024

J. Phys.: Conf. Ser.

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The attitude and orbit control sub-system of small satellites is an important sub-system to ensure the stable operation of satellites in orbit, and its testing in the satellite factory development stage runs through the whole testing process. Most of the traditional attitude and orbit control sub-system tests require the cooperation of many people to complete the performance tests of various components and sensitive devices, which also leads to the complicated and time-consuming testing process of the sub-system. At present, the mass production of small satellites is developing rapidly. In order to meet the urgent needs of small satellite mass production, the traditional attitude control subsystem test equipment and methods can’t meet the requirements of satellite mass production mode. In order to meet the needs of small satellite mass development, this paper studies the rapid batch test technology of small satellite attitude and orbit control systems. A fast pipeline test system which can support the performance and dynamics simulation of various components of a multi-satellite attitude and orbit control subsystem is studied. Based on the architecture of real-time communication between the upper computer and lower computer, the system can realize the integration and rapid testing of component performance and dynamic simulation. A continuous dynamic simulation test of 2140 seconds was carried out for the cruise mode and attitude maneuver mode of a certain type of satellite in orbit. During the test, various components and sensors of the attitude and orbit control subsystem operate correctly and can support the stable operation of the required attitude in various modes of the satellite, which can verify the correctness of the interface and performance of the satellite attitude and orbit control subsystem. The research results greatly reduce the input of manpower and material resources, and greatly improve the test efficiency. It lays a foundation for the rapid batch test of the small satellite attitude control subsystem.

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“…Studies in the literature except Ding and Sun (2004) and Gunay and Kula (2017) consider resequencing function of the buffer rather than its storage function. These studies can also be classified into two fold: (i) buffer capacity determination problem, and (ii) FA entrance sequence determination problem.…”

Section: Introductionmentioning

confidence: 99%

A two-stage stochastic rule-based model to determine pre-assembly buffer content

Günay

Kula

2018

J Ind Eng Int

Self Cite

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This study considers instant decision-making needs of the automobile manufactures for resequencing vehicles before final assembly (FA). We propose a rule-based two-stage stochastic model to determine the number of spare vehicles that should be kept in the pre-assembly buffer to restore the altered sequence due to paint defects and upstream department constraints. First stage of the model decides the spare vehicle quantities, where the second stage model recovers the scrambled sequence respect to pre-defined rules. The problem is solved by sample average approximation (SAA) algorithm. We conduct a numerical study to compare the solutions of heuristic model with optimal ones and provide following insights: (i) as the mismatch between paint entrance and scheduled sequence decreases, the rule-based heuristic model recovers the scrambled sequence as good as the optimal resequencing model, (ii) the rule-based model is more sensitive to the mismatch between the paint entrance and scheduled sequences for recovering the scrambled sequence, (iii) as the defect rate increases, the difference in recovery effectiveness between rule-based heuristic and optimal solutions increases, (iv) as buffer capacity increases, the recovery effectiveness of the optimization model outperforms heuristic model, (v) as expected the rule-based model holds more inventory than the optimization model.

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A stochastic programming model for resequencing buffer content optimisation in mixed-model assembly lines

Cited by 13 publications

References 20 publications

Integration of product architecture and supply chain under currency exchange rate fluctuation

Integration of product architecture and supply chain under currency exchange rate fluctuation

Research on rapid batch test technology of small satellite attitude and orbit control system

A two-stage stochastic rule-based model to determine pre-assembly buffer content

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