Artikel
A credit policy approach in a two-warehouse inventory model for deteriorating items with price- and stock-dependent demand under partial backlogging
Advertisement of the product is an important factor in inventory analysis. Also, price and stock have an important role to attract more customers in the competitive business situations. Trade credit policy is another important role in inventory analysis. We have combined these three factors together in a two-warehouse inventory model and represented it mathematically. In addition, we have added deteriorating factor of our proposed problem with price- and stock-dependent demand under partial backlogged shortage and solved. The frequency of advertisement is considered constant for a year in this paper. The proposed model is highly nonlinear in nature. Due to highly nonlinearity, we could not find the closed form solution. In this paper, trade credit facility is taken in the perspective of retailer, and all the possible cases and subcases of the model are discussed and solved using lingo 10.0 software. The results of sensitivity analysis prove the effectiveness of the proposed model.
- Sprache
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Englisch
- Erschienen in
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Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 15 ; Year: 2019 ; Issue: 1 ; Pages: 147-170 ; Heidelberg: Springer
- Klassifikation
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Management
- Thema
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EOQ model
Deterioration
Trade credit
Price- and stock-dependent demand
Partial backlogged shortages
- Ereignis
-
Geistige Schöpfung
- (wer)
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Panda, Gobinda Chandra
Khan, Md. Al-Amin
Shaikh, Ali Akbar
- Ereignis
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Veröffentlichung
- (wer)
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Springer
- (wo)
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Heidelberg
- (wann)
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2019
- DOI
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doi:10.1007/s40092-018-0269-3
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Panda, Gobinda Chandra
- Khan, Md. Al-Amin
- Shaikh, Ali Akbar
- Springer
Entstanden
- 2019
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