Demand Forecasting In Pharmaceutical Industry Using Neuro-Fuzzy Approach

Gökçe CANDAN; M.fatih TASKİN; Harun YAZGAN

doi:https://doi.org/10.17858/jmisci.06816

Makale detayları

Demand Forecasting In Pharmaceutical Industry Using Neuro-Fuzzy Approach

Yazarlar:

Gökçe CANDAN | M.fatih TASKİN | Harun YAZGAN

Yayıncı:

Sakarya University

Dergi:

Journal of Management and Information Science 2014 Vol.2 Issue 2, pp.41-49

Belge Tipi:

Makale

Yayın Tarihi:

3/2014

Belge Dili:

İngilizce

Document ID (Org No.):

2000820728

Sıklık:

Üç Aylık

eISSN:

2667-4483

DOI:

https://doi.org/10.17858/jmisci.06816

Özet:

 


Because of human healthcare, the pharmaceutical industry can be considered as one of the most significant industrial sector. For this reason, demand forecasting in pharmaceutical industry has more complex structure than other sectors. Human factors, seasonal and epidemic diseases, market shares of the competitive products and marketing conditions are considered as main external factors for forecasting pharmaceutical product. Additionally, active ingredients rate is also important factor for forecasting process. The main objective of this study is to predict future periods’ demand from previous sales quantity with considering effects of the external factors by employing a neuro-fuzzy approach. Because of the biases of external effects in Artificial Neural Network (ANN) topology, an ANFIS as neuro fuzzy approach is applied. An example is given to illustrate effectiveness of the approach. 

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Makale detayları

Demand Forecasting In Pharmaceutical Industry Using Neuro-Fuzzy Approach

Yazarlar: Gökçe CANDAN | M.fatih TASKİN | Harun YAZGAN

Yayıncı: Sakarya University

Dergi: Journal of Management and Information Science 2014 Vol.2 Issue 2, pp.41-49

Belge Tipi: Makale

Yayın Tarihi: 3/2014

Belge Dili: İngilizce

Document ID (Org No.): 2000820728

Sıklık: Üç Aylık

eISSN: 2667-4483

DOI: https://doi.org/10.17858/jmisci.06816

Sayı

Yazarlar:

Gökçe CANDAN | M.fatih TASKİN | Harun YAZGAN

Yayıncı:

Sakarya University

Dergi:

Journal of Management and Information Science 2014 Vol.2 Issue 2, pp.41-49

Belge Tipi:

Makale

Yayın Tarihi:

3/2014

Belge Dili:

İngilizce

Document ID (Org No.):

2000820728

Sıklık:

Üç Aylık

eISSN:

2667-4483

DOI:

https://doi.org/10.17858/jmisci.06816