Artikel
Inventory control policy of preventive lateral transshipment between retailers in multi periods
Purpose: Preventivelateral transshipment can respond to customers who will choose a substitute or to give up when the product is out of stock. Motivatedby the common practice, adecision-making model of preventive lateral transshipment with multi sellingperiods is developed. The purpose of the paper is to explore the optimal preventive lateral transshipment policy with multi selling periods. Design/methodology/approach: With adiscrete-time dynamic programming model, we take a dynamic programming approach and adopt backward induction to analyze two retailers' preventive lateral transshipment policy. Findings: The optimal preventivelateral transshipment policy is a threshold policy which depends on both theremaining selling periods and inventory level. The above properties ensure thattwo retailers can control inventory with preventive lateral transshipment. Practical implications: The retailer can adjust inventory via the thresholdtype policy. The simple decisionrule which compares on-hand inventory level with the critical inventory level can be used to control inventory by preventive lateral transshipment. Originality/value: A discrete-timedecision-making model of preventive lateral transshipment policy isformulated. This model takes consideration of multi selling periods, which is different from most existing researches on preventive lateral transshipment.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 7 ; Year: 2014 ; Issue: 3 ; Pages: 681-697 ; Barcelona: OmniaScience
- Klassifikation
-
Management
- Thema
-
preventive lateral transshipment
the transship-up-to level
the transship-down-to level
inventory control policy
multi selling periods
- Ereignis
-
Geistige Schöpfung
- (wer)
-
He, Qingren
Dan, Bin
Liu, Ru
- Ereignis
-
Veröffentlichung
- (wer)
-
OmniaScience
- (wo)
-
Barcelona
- (wann)
-
2014
- DOI
-
doi:10.3926/jiem.1068
- Handle
- Letzte Aktualisierung
- 10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- He, Qingren
- Dan, Bin
- Liu, Ru
- OmniaScience
Entstanden
- 2014
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