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Optimal Inventory Policy through Dua...
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ProQuest Information and Learning Co.
Optimal Inventory Policy through Dual Sourcing.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Optimal Inventory Policy through Dual Sourcing./
作者:
Miklyukh, Volodymyr.
面頁冊數:
1 online resource (47 pages)
附註:
Source: Masters Abstracts International, Volume: 57-02.
Contained By:
Masters Abstracts International57-02(E).
標題:
Industrial engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9780355449402
Optimal Inventory Policy through Dual Sourcing.
Miklyukh, Volodymyr.
Optimal Inventory Policy through Dual Sourcing.
- 1 online resource (47 pages)
Source: Masters Abstracts International, Volume: 57-02.
Thesis (M.A.S.)
Includes bibliographical references
We consider a risk-averse firm that utilizes dual-sourcing for perishable or seasonal goods with uncertain customer demand. Using real options theories, we provide two models aimed at determining optimal order quantities to maximize the firm's expected profit. Furthermore, we can consider the demand to be an observable process correlated to a traded, which can be hedged to reduce profit uncertainty. A single offshore single local order period (SOSLOP) model provides a pseudo-analytical solution which can be easily solved to determine an optimal offshore and local order quantities based on the manufacturers' lead times, and a more realistic single offshore multiple local order period (SOMLOP) model uses numerical methods to determine optimal order quantities. Finally, a method for matching distributions of expected demands based on managerial estimates can be applied to any of the aforementioned models and be easily incorporated into the industry.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355449402Subjects--Topical Terms:
679492
Industrial engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Optimal Inventory Policy through Dual Sourcing.
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We consider a risk-averse firm that utilizes dual-sourcing for perishable or seasonal goods with uncertain customer demand. Using real options theories, we provide two models aimed at determining optimal order quantities to maximize the firm's expected profit. Furthermore, we can consider the demand to be an observable process correlated to a traded, which can be hedged to reduce profit uncertainty. A single offshore single local order period (SOSLOP) model provides a pseudo-analytical solution which can be easily solved to determine an optimal offshore and local order quantities based on the manufacturers' lead times, and a more realistic single offshore multiple local order period (SOMLOP) model uses numerical methods to determine optimal order quantities. Finally, a method for matching distributions of expected demands based on managerial estimates can be applied to any of the aforementioned models and be easily incorporated into the industry.
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click for full text (PQDT)
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