Modifying mixed-model assembly line sequencing methods to consider weighted variations for just-in-time production systems.: An article from: IIE Transactions Buy on Amazon

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Modifying mixed-model assembly line sequencing methods to consider weighted variations for just-in-time production systems.: An article from: IIE Transactions

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ISBN / ASINB00096P46K
ISBN-13978B00096P467
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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 5843 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: Mixed-model assembly lines are widely used in just-in-time (JIT) production systems. One of the commonly used goals in sequencing mixed-model assembly lines in JIT production systems is to maintain nearly constant rates of part usage on the line. In this paper the sequencing problem is generalized to consider weights for different models in evaluating their influence on the part usage rate. The existing methods for sequencing mixed-model assembly lines are modified for the generalized problem. Computational comparisons are made between the modified heuristic methods and an optimal procedure for the squared variation objective. The computational results show that the modified heuristic methods obtain nearly optimal solutions and require moderate CPU times.

Citation Details
Title: Modifying mixed-model assembly line sequencing methods to consider weighted variations for just-in-time production systems.
Author: Liping Cheng
Publication:IIE Transactions (Refereed)
Date: November 1, 1996
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v28 Issue: n11 Page: p919(9)

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