A quantitative and simulation model for managing sudden supply delay with fuzzy demand and safety stock
Year of publication: |
1-15 July 2018
|
---|---|
Authors: | Paul, Sanjoy Kumar ; Rahman, Shams |
Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 56.2018, 13 (1/15.7.), p. 4377-4395
|
Subject: | supply delay | recovery plan | heuristic | fuzzy demand | safety stock | Fuzzy-Set-Theorie | Fuzzy sets | Lagerhaltungsmodell | Inventory model | Simulation | Heuristik | Heuristics | Lieferkette | Supply chain | Nachfrage | Demand |
-
Supply chain coordination through a revenue-sharing contract with two kinds of fuzzy demand
Wang, Junyan, (2014)
-
Tadayonrad, Yasin, (2023)
-
Research on the support model of large equipment emergency spare parts under fuzzy demand
Yang, Jianhua, (2015)
- More ...
-
Quantifying the degree of supply chain leagility and assessing its impact on firm performance
Fadaki, Masih, (2019)
-
Hospital-supplier integration and hospital performance : evidence from Saudi Arabia
Alshahrani, Saad, (2018)
-
How signaling mechanisms reduce “lemons” from online group buying (OGB) markets? A study of China
Hossain, Mohammad Alamgir, (2018)
- More ...