A fuzzy-based approach to the liquid crystal injection scheduling problem in a TFT-LCD fab

Liu, Hao-Cheng; Yih, Yuehwern

doi:10.1080/00207543.2013.810820

Cited by 6 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, in thin film transistorliquid crystal display production, it is difficult to identify the current status of some resources or attributes of a product by assessing their current values because the status of the production system is time dependent [37]. In paint production, the sequence-dependent setup times have particular importance in meeting an exact color matching.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of optimality in the fuzzy single machine scheduling problem including discounted costs

Bentrcia

Mouss

et al. 2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The single machine scheduling problem has been often regarded as a simplified representation that contains many polynomial solvable cases. However, in real-world applications, the imprecision of data at the level of each job can be critical for the implementation of scheduling strategies. Therefore, the single machine scheduling problem with the weighted discounted sum of completion times is treated in this paper, where we assume that the processing times, weighting coefficients and discount factor are all described using trapezoidal fuzzy numbers. Our aim in this study is to elaborate adequate measures in the context of possibility theory for the assessment of the optimality of a fixed schedule. Two optimization approaches namely genetic algorithm and pattern search are proposed as computational tools for the validation of the obtained properties and results. The proposed approaches are experimented on the benchmark problem instances and a sensitivity analysis with respect to some configuration parameters is conducted. Modeling and resolution frameworks considered in this research offer promise to deal with optimality in the wide class of fuzzy scheduling problems, which is recognized to be a difficult task by both researchers and practitioners.

show abstract

Section: Introductionmentioning

confidence: 99%