Multi-item, multi-period production planning with uncertain demand.: An article from: IIE Transactions
Book Details
Author(s)Charles R. Sox, John A. Muckstadt
ISBN / ASINB00096P45Q
ISBN-13978B00096P450
AvailabilityAvailable for download now
Sales Rank15,089,692
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on November 1, 1996. The length of the article is 8263 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
From the author: We provide a formulation and solution algorithm for the finite-horizon capacitated production planning problem with random demand for multiple products. Using Lagrangian relaxation, we develop a subgradient optimization algorithm to solve this formulation. We also provide some computational results that indicate this approach works well for rolling-horizon planning compared with the rolling-horizon performance of the corresponding optimal finite-horizon solution. The advantage of our approach is that realistic problem instances can be solved quickly while optimal solutions to such instances are computationally intractable.
Citation Details
Title: Multi-item, multi-period production planning with uncertain demand.
Author: Charles R. Sox
Publication:IIE Transactions (Refereed)
Date: November 1, 1996
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v28 Issue: n11 Page: p891(10)
Distributed by Thomson Gale
From the author: We provide a formulation and solution algorithm for the finite-horizon capacitated production planning problem with random demand for multiple products. Using Lagrangian relaxation, we develop a subgradient optimization algorithm to solve this formulation. We also provide some computational results that indicate this approach works well for rolling-horizon planning compared with the rolling-horizon performance of the corresponding optimal finite-horizon solution. The advantage of our approach is that realistic problem instances can be solved quickly while optimal solutions to such instances are computationally intractable.
Citation Details
Title: Multi-item, multi-period production planning with uncertain demand.
Author: Charles R. Sox
Publication:IIE Transactions (Refereed)
Date: November 1, 1996
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v28 Issue: n11 Page: p891(10)
Distributed by Thomson Gale
