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Chih-Ping Lee

dblp:134/7068 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Mathematical optimization · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization › scheduling
production scheduling
0.011990
Control of a discrete parts production system with random part production times to meet a given schedule · ICRA 1990
Mathematical optimization › control theory › optimal control
stochastic control
0.011990
Control of a discrete parts production system with random part production times to meet a given schedule · ICRA 1990
Embedded and real-time systems
discrete event systems
0.011990
Control of a discrete parts production system with random part production times to meet a given schedule · ICRA 1990

Methods — techniques the papers use, named apart from their topics

stochastic dynamic programming · 0.0
YearPublicationVenuePosition
1990 Control of a discrete parts production system with random part production times to meet a given schedule
abstract
A production system is modeled as a stochastic discrete-event process. The production system produces discrete parts from an infinite supply of raw materials. The production time for a part is exponentially distributed and can be affected by a control variable-the production rate, which can be adjusted only at production initiation epochs for the discrete parts. A short-term cost criterion is introduced to accommodate two primary economic factors: cost due to the control effort and cost based on missing production deadlines. This short-term cost function depends only on quantities in the production of a single part, but with a correction term to achieve better long-term performance. Two cases are considered in detail: one case where the penalty on missing the part production deadline is asymmetric and another case where the penalty is symmetric. In each case, the optimal operating policy is determined by minimizing the short-term cost function. Properties of the resultant optimal control policy are investigated; the closed-loop behavior of the production system under the optimal control policy is discussed for each case.>
Chih-Ping Lee, N. Harris McClamroch
ICRA1