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Peter B. Luh

8 accepted papers

2024

Near-Optimal Scheduling for IC Packaging Operations Considering Processing-Time Variations and Factory Practices

RA-L 2024

Due to the short life cycles of electronic products, trial run lots of new products are crucial in IC packaging for production verification and engineering adjustments. The processing time of trial run lots may differ significantly from production lots due to engineering adjustments and is difficult

Cited by 3SourceScholar
2021

A Novel Integer Linear Programming Formulation for Job-Shop Scheduling Problems

RA-L 2021

Job-shop scheduling is an important but difficult problem arising in low-volume high-variety manufacturing. It is usually solved at the beginning of each shift with strict computational time requirements. To obtain near-optimal solutions with quantifiable quality within strict time limits, a directi

Cited by 26SourceScholar
2020

Ordinal-Optimization Concept Enabled Decomposition and Coordination of Mixed-Integer Linear Programming Problems

RA-L 2020

Many important optimization problems, such as manufacturing scheduling and power system unit commitment, are formulated as Mixed-Integer Linear Programming (MILP) problems. Such problems are generally difficult to solve because of their combinatorial nature, and may subject to strict computation tim

Cited by 18SourceScholar
2019

Efficiency and Reliability Joint Optimization of Chiller Plants Based on a Hybrid Model

RA-L 2019

Methods for chiller plant energy savings may increase component degradation, thereby decreasing reliability. Joint optimization is thus important. The problem, however, is challenging. First, existing reliability models which are functions of time in terms of years are not suitable for operation opt

Cited by 3SourceScholar
2018

Chiller Plant Operation Optimization With Minimum Up/Down Time Constraints

RA-L 2018

A chiller plant includes chillers, cooling towers, and pumps. Chiller minimum up/down times (MUDTs) are relatively long among a plant but short as compared with the time interval. MUDT constraints are generally ignored in optimization but handled heuristically. With the numbers of active units and n

Cited by 5SourceScholar
2017

Impacts of Anxiety in Building Fire and Smoke Evacuation: Modeling and Validation

RA-L 2017

Anxiety impairs evacuees' ability to select appropriate routes during building fire and smoke evacuations. Understanding anxiety is thus essential to provide proper guidance to evacuees. However, it is challenging to model how anxiety affects evacuees' decision-making process, and how to validate th

Cited by 29SourceScholar