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Intelligent Design Suggestion and Sales Forecasting for New Products in the Apparel Industry

Yu-Chung Tsao

Yu-Chung Tsao

  • Department of Industrial Management, National Taiwan University of Science and TechnologyTaipei, Taiwan
  • Artificial Intelligence for Operations Management Research Center, National Taiwan University of Science and TechnologyTaipei, Taiwan
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Tsao, Yu-Chung
, 
Yu-Hsuan Liu

Yu-Hsuan Liu

  • Department of Industrial Management, National Taiwan University of Science and TechnologyTaipei, Taiwan
  • Artificial Intelligence for Operations Management Research Center, National Taiwan University of Science and TechnologyTaipei, Taiwan
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Liu, Yu-Hsuan
, 
Thuy-Linh Vu

Thuy-Linh Vu

  • Department of Industrial Management, National Taiwan University of Science and TechnologyTaipei, Taiwan
  • Artificial Intelligence for Operations Management Research Center, National Taiwan University of Science and TechnologyTaipei, Taiwan
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Vu, Thuy-Linh
 oraz 
I-Wen Fang

I-Wen Fang

Department of Business Management, Tatung UniversityTaipei, Taiwan
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Fang, I-Wen
  
15 gru 2023
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Kategoria artykułu: Research Article
Data publikacji: 15 gru 2023
Zakres stron: 30 - 38
DOI: https://doi.org/10.2478/ftee-2023-0052
Słowa kluczowe
© 2023 Łukasiewicz Research Network-Łódź Institute of Technology, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fig. 1.

Research Framework
Research Framework

Fig. 2.

Example for different elements based on the sleeve style (Source: https://www.pinterest.com/pin/415175659377747162/)
Example for different elements based on the sleeve style (Source: https://www.pinterest.com/pin/415175659377747162/)

Fig. 3.

Product page of the B2C online store (Source: Retrieved April 19, 2022, from https://www.modalovemoda.com/Shop/itemDetail.aspx?mNo1=57441&m=1)
Product page of the B2C online store (Source: Retrieved April 19, 2022, from https://www.modalovemoda.com/Shop/itemDetail.aspx?mNo1=57441&m=1)

Fig. 4.

Intelligent forecasting approach framework
Intelligent forecasting approach framework

Fig. 5.

Relative improvement for different forecasting models
Relative improvement for different forecasting models

Evaluation metrics of intelligent forecasting approach

Intelligent Forecasting Approach
MSE RMSE MAPE
A 4.64 2.15 3.78%
B 1.97 1.40 70.17%
C 4.46 2.11 21.11%
D 29.45 5.43 41.75%
E 706.60 26.58 30.91%
F 99.51 9.98 15.35%

Demand forecasting results after demand sense adjustment

Item Real Sales Baseline Model Intelligent Forecasting Approach
A 57 49.51 59.15
B 2 12.61 0.60
C 10 20.22 12.11
D 13 25.99 7.57
E 86 144.70 112.58
F 65 51.45 55.02
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Biznes i ekonomia, Zarządzanie biznesem, Informatyka biznesowa, Zarządzanie procesem, Chemia przemysłowa, Celuloza, papier i tekstylia, Nauka i technologia polimerów, Nauka o materiałach, Biomateriały i materiały naturalne
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