Forecasting the unit cost of a DRAM product using a layered partial-consensus fuzzy collaborative forecasting approach

Chen, Toly; Wu, Hsin-Chieh

doi:10.1007/s40747-020-00146-3

Cited by 13 publications

(9 citation statements)

References 39 publications

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“…In their methodology, each expert applies the FGM method to evaluate the relative priorities of criteria. Then, the layered partial consensus approach [ 49 ] is applied to aggregate the evaluation results of most experts. Finally, the generalized fuzzy weighted assessment approach is proposed to evaluate the effectiveness of an intervention strategy for tackling the COVID-19 pandemic.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the Impact of Vaccine Availability on Alternative Supplier Selection Amid the COVID-19 Pandemic: A cFGM-FTOPSIS-FWI Approach

Chen

Wang

2021

Healthcare

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The supply chain disruption caused by the coronavirus disease 2019 (COVID-19) pandemic has forced many manufacturers to look for alternative suppliers. How to choose a suitable alternative supplier in the COVID-19 pandemic has become an important task. To fulfill this task, this research proposes a calibrated fuzzy geometric mean (cFGM)-fuzzy technique for order preference by similarity to ideal solution (FTOPSIS)-fuzzy weighted intersection (FWI) approach. In the proposed methodology, first, the cFGM method is proposed to accurately derive the priorities of criteria. Subsequently, each expert applies the FTOPSIS method to compare the overall performances of alternative suppliers in the COVID-19 pandemic. The sensitivity of an expert to any change in the overall performance of the alternative supplier is also considered. Finally, the FWI operator is used to aggregate the comparison results by all experts, for which an expert’s authority level is set to a value proportional to the consistency of his/her pairwise comparison results. The cFGM-FTOPSIS-FWI approach has been applied to select suitable alternative suppliers for a Taiwanese foundry in the COVID-19 pandemic.

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Section: Literature Reviewmentioning

confidence: 99%

Analyzing the Impact of Vaccine Availability on Alternative Supplier Selection Amid the COVID-19 Pandemic: A cFGM-FTOPSIS-FWI Approach

Chen

Wang

2021

Healthcare

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“…The problem is how to determine the number of experts who have reached a partial consensus. Chen and Wu [ 36 ] believed that it is better to get more experts to reach a partial consensus, which is more difficult, and the PCFI result may only cover a few possible values. In order to cover a sufficient number of possible values, the range of the PCFI result should be greater than a threshold ξ [ 46 ].…”

Section: The Fuzzy Collaborative Intelligence Approachmentioning

confidence: 99%

“…If all experts have reached an overall consensus, fuzzy intersection (FI) [ 34 ] is applied to aggregate their evaluation results. Otherwise, the partial-consensus FI (PCFI) approach [ 35 , 36 ] will be applied to achieve the same goal. Subsequently, based on the aggregation result, the fuzzy weighted average (FWA) method is applied to assess the robustness of a factory to the COVID-19 pandemic.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Robustness of a Factory Amid the COVID-19 Pandemic: A Fuzzy Collaborative Intelligence Approach

2020

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The COVID-19 pandemic has affected the operations of factories worldwide. However, the impact of the COVID-19 pandemic on different factories is not the same. In other words, the robustness of factories to the COVID-19 pandemic varies. To explore this topic, this study proposes a fuzzy collaborative intelligence approach to assess the robustness of a factory to the COVID-19 pandemic. In the proposed methodology, first, a number of experts apply a fuzzy collaborative intelligence approach to jointly evaluate the relative priorities of factors that affect the robustness of a factory to the COVID-19 pandemic. Subsequently, based on the evaluated relative priorities, a fuzzy weighted average method is applied to assess the robustness of a factory to the COVID-19 pandemic. The assessment result can be compared with that of another factory using a fuzzy technique for order preference by similarity to ideal solution. The proposed methodology has been applied to assess the robustness of a wafer fabrication factory in Taiwan to the COVID-19 pandemic.

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“…Chen [10] classified existing approaches for forecasting the cycle time of a job into six categories: statistical analysis [10,32,43,54], simulation [34,43], artificial neural networks (ANNs, [6,7,33], case-based reasoning (CBR, [5], fuzzy theory [6,7], and hybrid approaches [6,19]. Recently, advanced data analysis techniques, such as big-data analysis and deep learning, have also been used for forecasting the cycle time of a job [47,[53][54][55].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy dynamic-prioritization agent-based system for forecasting job cycle time in a wafer fabrication plant

Chen

Wang

2021

Complex Intell. Syst.

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A fuzzy dynamic-prioritization agent-based system was developed in this study to improve the forecasting of the cycle time of a job in a wafer fabrication plant (wafer fab). In this system, multiple fuzzy agents forecast the cycle time of a job from various viewpoints, after which the aggregation and evaluation agent aggregates these fuzzy cycle time forecasts using an innovative operator (i.e., the fuzzy weighted intersection) into a single representative value. Subsequently, the optimization agent varies the authority levels of the fuzzy cycle time forecasting agents to optimize the forecasting performance. A practical example was used to evaluate the effectiveness of the fuzzy dynamic-prioritization agent-based system. The experiment results indicated that the fuzzy dynamic-prioritization agent-based system outperformed three rival methods in improving forecasting accuracy. In addition, the forecasting performance could be enhanced by discriminating the authority levels of the fuzzy cycle time forecasting agents.

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Forecasting the unit cost of a DRAM product using a layered partial-consensus fuzzy collaborative forecasting approach

Cited by 13 publications

References 39 publications

Analyzing the Impact of Vaccine Availability on Alternative Supplier Selection Amid the COVID-19 Pandemic: A cFGM-FTOPSIS-FWI Approach

Analyzing the Impact of Vaccine Availability on Alternative Supplier Selection Amid the COVID-19 Pandemic: A cFGM-FTOPSIS-FWI Approach

Assessing the Robustness of a Factory Amid the COVID-19 Pandemic: A Fuzzy Collaborative Intelligence Approach

Fuzzy dynamic-prioritization agent-based system for forecasting job cycle time in a wafer fabrication plant

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