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Byung-Cheon Choi

Researcher at Chungnam National University

Publications -  77
Citations -  695

Byung-Cheon Choi is an academic researcher from Chungnam National University. The author has contributed to research in topics: Job shop scheduling & Flow shop scheduling. The author has an hindex of 13, co-authored 64 publications receiving 590 citations. Previous affiliations of Byung-Cheon Choi include Seoul National University & Samsung.

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Approximation algorithms for multi-agent scheduling to minimize total weighted completion time

TL;DR: This work reduces the multi-agent scheduling problem to a Multi-Objective Shortest-Path (MOSP) problem, which leads to several results including Fully Polynomial Time Approximation Schemes (FPTAS), and provides an efficient approximation algorithm with a reasonably good worst-case ratio.
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Complexity of single machine scheduling subject to nonnegative inventory constraints

TL;DR: The computational complexity of single machine scheduling subject to inventory constraints is determined for all special cases and for several special cases when the objective is either to minimize total weighted completion time or to minimize the number of tardy jobs.
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Two-stage production scheduling with an outsourcing option

TL;DR: In this paper, the authors considered a two-stage production scheduling problem in which each activity requires two operations to be processed in stages 1 and 2, respectively, and the objective was to minimize the weighted sum of the makespan and the total outsourcing cost.
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Minimizing maximum completion time in a proportionate flow shop with one machine of different speed

TL;DR: This paper considers the variant of the n-job, m-machine proportionate flow shop scheduling problem in which only one machine is different and job processing times are inversely proportional to machine speeds.
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Two-machine flow shop scheduling problem with an outsourcing option

TL;DR: A two-machine flow shop problem in which each job is processed through an in-house system or outsourced to a subcontractor and a polynomial-time algorithm is presented to solve the special case.