Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14323
ชื่อเรื่อง: An experience-based system supporting inventory planning: A fuzzy approach
ผู้แต่ง: Ketsarapong S.
Punyangarm V.
Phusavat K.
Lin B.
Keywords: Fuzzy approach
Fuzzy demand
Inventory planning
Lot sizing problems
Mixed-integer linear programming
Petrochemical company
Qualitative information
Statistical data collection
Unit prices
Information systems
Mathematical models
Fuzzy set theory
วันที่เผยแพร่: 2012
บทคัดย่อ: The study aims to extend the Uncapacitated Fuzzy Single Item Lot Sizing Problem (known as F-USILSP) model and extend it for inventory planning. The F-USILSP model is a good choice when there is no statistical data collection, but where there is verbal or qualitative information from experts with experience. Previously, the mixed integer linear programming (MILP) relied on the crisp assumption which hinders the use of the F-USILSP. In this paper, a Possibility Approach is adapted to convert the F-USILSP to a mathematically solvable equivalent crisp USILSP (EC-USILSP). The EC-USILSP model is tested with a case. The organization under study is a petrochemical company power plant with trapezoidal fuzzy demand and triangular fuzzy unit price. The overall results show that the EC-USILSP is more practical and exhibits more flexibility when there is a need to add more realistic situations. © 2011 Elsevier Ltd. All rights reserved.
URI: https://ir.swu.ac.th/jspui/handle/123456789/14323
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857640915&doi=10.1016%2fj.eswa.2012.01.048&partnerID=40&md5=b4172ac29473a7f86c0e9baece1976dd
ISSN: 9574174
Appears in Collections:Scopus 1983-2021

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