Yongha Kang

Works (4)

Updated: July 5th, 2023 15:49

2018 journal article

Rounding heuristics for multiple product dynamic lot-sizing in the presence of queueing behavior

COMPUTERS & OPERATIONS RESEARCH, 100, 54–65.

By: Y. Kang*, E. Albey * & R. Uzsoy n 

author keywords: Nonlinear integer programming; Dynamic lot-sizing; Production planning; Queueing; Rounding heuristic; Feasibility pump heuristic; Surrogate problem method
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 5, 2018

2009 journal article

A dispatching algorithm for parallel machines with rework processes

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 61(1), 144–155.

By: Y. Kang n, S. Kim* & H. Shin *

author keywords: rework probability; parallel machines; dispatching algorithm; sequence-dependent setup times
TL;DR: The dispatching algorithm named MRPD (minimum rework probability with due-dates) is proposed in this paper focusing on the rework processes and Computational results show that the proposed algorithm is significantly superior to existing dispatching algorithms for the test problems. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2008 journal article

A rework-based dispatching algorithm for module process in TFT-LCD manufacture

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 48(3), 915–931.

By: H. Shin * & Y. Kang n

author keywords: TFT-LCD manufacturing; module process; rework probability; scheduling; dispatching algorithm
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Source: Web Of Science
Added: August 6, 2018

2008 journal article

An adaptive scheduling algorithm for a parallel machine problem with rework processes

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 48(1), 95–115.

By: Y. Kang n & H. Shin *

author keywords: adaptive scheduling; problem-space-based search; rework probability; parallel machines; dispatching algorithm
TL;DR: This paper shows how the proposed algorithms can adaptively capture the characteristics of manufacturing facilities for enhancing the performance under changing production environments and give very efficient performance in terms of computational time and each objective value. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

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