Fuzzy Wagner Whitin Algorithm and an Application of Class I Supplies

Name: Fuzzy Wagner Whitin Algorithm and an Application of Class I Supplies
Author: Baltacioglu, G, Temiz, I, Erol, S

İsim	Fuzzy Wagner Whitin Algorithm and an Application of Class I Supplies
Yazar	Baltacioglu, G, Temiz, I, Erol, S
Konu	peer_reviewed
Tür	Süreli Yayın
Dil	Belirlenmemiş dil
Dijital	Evet
Yazma	Hayır
Kütüphane:	Washington Üniversitesi
Demirbaş Numarası	ISSN: 1303-9709
Kayıt Numarası	cdi_proquest_miscellaneous_869591377
Lokasyon	Check availability & request options
Tarih	Gazi University Journal of Science, 1901-01, Vol.24 (1), p.125-134
Notlar	The purpose of this study is to avoid unnecessary stocking of Class I supply materials via proper lot-sizing methods; to determine the level of stocks in food accountancy warehouses and to make appropriate stocking policies. The data that was used in this study was obtained from a unit of Turkish Armed Forces. All the data were determined and applied to the nine lot sizing methods and best order policies were obtained from Wagner Whitin algorithm. Because the future values of the parameters must be used in WW model, the data used at the beginning may change by the time. Related to the future changed data, the optimal order policy may differ and real total cost will be higher than the model. The fuzzy concept was utilized in Wagner Whitin algorithm to manage uncertain demands and costs. Fuzzy WW algorithm was proposed and shown for one of the items.
Örnek Metin	Gazi University Journal of Science, 1901-01, Vol.24 (1), p.125-134

Kaynağa git Washington Üniversitesi University of Washington

Aramaya Dön

Washington Üniversitesi

Kaynağa git

Fuzzy Wagner Whitin Algorithm and an Application of Class I Supplies

Yazar Baltacioglu, G, Temiz, I, Erol, S

Konu peer_reviewed

Tür Süreli Yayın

Dil Belirlenmemiş dil

Dijital Evet

Yazma Hayır

Kütüphane Washington Üniversitesi

Demirbaş Numarası ISSN: 1303-9709

Kayıt Numarası cdi_proquest_miscellaneous_869591377

Lokasyon Check availability & request options

Tarih Gazi University Journal of Science, 1901-01, Vol.24 (1), p.125-134

Notlar The purpose of this study is to avoid unnecessary stocking of Class I supply materials via proper lot-sizing methods; to determine the level of stocks in food accountancy warehouses and to make appropriate stocking policies. The data that was used in this study was obtained from a unit of Turkish Armed Forces. All the data were determined and applied to the nine lot sizing methods and best order policies were obtained from Wagner Whitin algorithm. Because the future values of the parameters must be used in WW model, the data used at the beginning may change by the time. Related to the future changed data, the optimal order policy may differ and real total cost will be higher than the model. The fuzzy concept was utilized in Wagner Whitin algorithm to manage uncertain demands and costs. Fuzzy WW algorithm was proposed and shown for one of the items.

Örnek Metin Gazi University Journal of Science, 1901-01, Vol.24 (1), p.125-134