An efficient method for dynamic-demand joint replenishment problem with multiple suppliers and multiple vehicles
Year of publication: |
1-15 February 2017
|
---|---|
Authors: | Kang, He-Yau ; Lee, Amy H. I. ; Wu, Chien-wei ; Lee, Cheng-Han |
Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 55.2017, 3/4 (1/15.2.), p. 1065-1084
|
Subject: | dynamic-demand joint replenishment problem (DJRP) | multiple suppliers | multiple vehicles | mixed integer programming (MIP) | particle swarm optimisation (PSO) | Lagerhaltungsmodell | Inventory model | Ganzzahlige Optimierung | Integer programming | Theorie | Theory | Lieferkette | Supply chain | Lieferantenmanagement | Supplier relationship management | Algorithmus | Algorithm | Mathematische Optimierung | Mathematical programming |
-
Towards optimal configuration of a manufacturer's supply network with demand flexibility
Cui, L. X., (2015)
-
Tapia-Ubeda, Francisco J., (2018)
-
Optimal inventory policy in a closed loop supply chain system with multiple periods
Sasikumar, A., (2017)
- More ...
-
Design and construction of a variables multiple dependent state sampling plan based on process yield
Wu, Chien-wei, (2015)
-
A variable-type skip-lot sampling plan for products with a unilateral specification limit
Wu, Chien-wei, (2021)
-
Wu, Chien-wei, (2022)
- More ...