Efficiency measures of PCB manufacturing firms using relational two-stage data envelopment analysis

Liu, Shiang-Tai; Wang, Rong-Tsu

doi:10.1016/j.eswa.2008.06.014

Cited by 40 publications

(19 citation statements)

References 16 publications

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“…Consequently, problems with a large number of possible batching states cannot be solved within a restricted amount of time [19], and therefore, adapting intelligent optimization techniques are preferable. Moreover, there are many applications of intelligent optimization techniques to PCB manufacturing in the literature such as Dong et al [12], Hadavandi et al [14], Liukkonen et al [24], Hsu [16], Liu and Wang [25] and Chang et al [1]. In sequel, we will describe components of suggested simulation-based optimization approach separately.…”

Section: Complexity Of Problemmentioning

confidence: 98%

“…They then proposed a hybrid genetic algorithm for solving problem within a reasonable computational time. In addition, Luo et al [25] suggested a two-stage hybrid flowshop and proposed a mathematical model and a genetic algorithm to cope with the problem. The makespan of the resulting schedules is much better than that of manual schedules.…”

Section: Intelligent Optimizationmentioning

confidence: 99%

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Scheduling of printed circuit board (PCB) assembly systems with heterogeneous processors using simulation-based intelligent optimization methods

Noroozi

Mokhtari

2014

Neural Comput & Applic

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The complexity of printed circuit boards (PCBs), as an important sector of the electronics manufacturing industry, has increased over the last three decades. This paper focuses on a practical application observed at a PCB assembly line of electronics manufacturing facility. It is shown that this problem is equivalent to a flowshop scheduling with multiple heterogeneous batch processors where processors can perform multiple tasks as long as the sizes of jobs in a batch do not violate the processors' capacity. The equivalent problem is mathematically formulated as a mixed integer programming model. Then, a Monte Carlo simulation is incorporated into high-level genetic algorithm-based intelligent optimization techniques to assess the performance of makespan-oriented system under uncertain processing times. At each iteration of algorithm, the output of simulator is used by optimizers to provide online feedbacks on the progress of the search and direct the search toward a promising solution zone. Furthermore, various parameters and operators of the algorithm are discussed and calibrated by means of Taguchi statistical technique. The result of extensive computational experiments shows that the solution approach gives high-quality solutions in reasonable computational time.

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Section: Complexity Of Problemmentioning

confidence: 98%

Section: Intelligent Optimizationmentioning

confidence: 99%

Scheduling of printed circuit board (PCB) assembly systems with heterogeneous processors using simulation-based intelligent optimization methods

Noroozi

Mokhtari

2014

Neural Comput & Applic

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“…Chen, Cook, Li, & Zhu, 2009;Cook, Liang, Yang, & Zhu, 2007, chap. 11;Kao, 2009a;Kao & Hwang, 2008;Liang, Cook, & Zhu, 2008;Liang, Yang, Cook, & Zhu, 2006;Liu & Wang, 2009;Yang, Wu, Liang, Bi, & Wu, in press) and also to parallel processes systems (e.g. Kao, 2009b).…”

Section: Introductionmentioning

confidence: 97%

Scale and cost efficiency analysis of networks of processes

Lozano

2011

Expert Systems with Applications

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“…However, the relational two-stage DEA was then suggested to apply to non-life insurance companies in Taiwan [6]. Under the relational two-stage DEA method, the overall efficiency is the product of the efficiencies of the two sub-processes, and the efficiencies calculated from this approach are more meaningful than those calculated from the independent two-stage DEA approach [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency Evaluation of Food and Beverage Companies in Thailand: An Application of Relational Two-Stage Data Envelopment Analysis

Rodmanee¹,

Huang²

2013

IJSSH

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Abstract-This study used a relational two-stage data envelopment analysis (DEA) to evaluate the efficiency of 23 food and beverage companies in Thailand in 2011. The whole production process of the companies can be divided into two sub-processes for analyzing the efficiency differences: production achievement and profit generation. The conclusion shows that the low efficiency score of the profit generation process leads to the low overall efficiency score of the companies.Index Terms-Food and beverage, data envelopment analysis (DEA), relational two-stage DEA, efficiency evaluation.

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Efficiency measures of PCB manufacturing firms using relational two-stage data envelopment analysis

Cited by 40 publications

References 16 publications

Scheduling of printed circuit board (PCB) assembly systems with heterogeneous processors using simulation-based intelligent optimization methods

Scheduling of printed circuit board (PCB) assembly systems with heterogeneous processors using simulation-based intelligent optimization methods

Scale and cost efficiency analysis of networks of processes

Efficiency Evaluation of Food and Beverage Companies in Thailand: An Application of Relational Two-Stage Data Envelopment Analysis

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