Fuzzy heuristic solution approaches for the warm/cold lot sizing problem
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper we introduce fuzzy versions some rule based lot sizing heuristics for the dynamic lot-sizing problem with warm/cold process. In our setting the demand at each period and the warm system threshold (production/order quantity required for keeping the system warm on to next period) are fuzzy numbers. Similar to the crisp counterpart setting of the problem, horizon length, production capacity at each period, inventory carrying cost and warming cost are the parameters with crisp values. The objective is to find the cost minimizing production scheme throughout the horizon. The rule based fuzzy heuristics we introduce are: fuzzy silver meal algorithm, fuzzy part period algorithm, and fuzzy least unit cost algorithm. We illustrate implementation of proposed heuristics through examples. In a numerical study we present comparison results of heuristics based on various performance criteria. (C) 2016 Elsevier B.V. All rights reserved.
Açıklama
Anahtar Kelimeler
Lot Sizing, Warm/Cold Process, Heuristics, Fuzzy Systems, Production Management Research, Economic Production Quantity, Inventory Model, Set Theory, Eoq, Uncertainty, Backorder, System, Cost
Kaynak
Applied Soft Computing
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
48
