A Biased-Randomized Simheuristic for a Hybrid Flow Shop with Stochastic Processing Times in the Semiconductor Industry-Reference-Cited by-同舟云学术

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A Biased-Randomized Simheuristic for a Hybrid Flow Shop with Stochastic Processing Times in the Semiconductor Industry

Published:2022-12-11 Issue: Volume: Page:
ISSN:
Container-title:2022 Winter Simulation Conference (WSC)
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Author:

Ammouriova Majsa¹,Panadero Javier¹,LeiBau Madlene²,Laroque Christoph²,Schumacher Christin³,Juan Angel A.⁴

Affiliation:

1. Universitat Oberta de Catalunya, Euncet Business School,Computer Science Department,Barcelona,SPAIN,08018

2. Institute for Management and Information, University of Applied Sciences Zwickau,Zwickau,GERMANY,08056

3. Informatik 4 - Modeling and Simulation, TU Dortmund University,Department of Computer Science,Dortmund,GERMANY,D-44221

4. Universitat Politècnica de València,Dept. of Applied Statistics and Operations Research,Alcoy,SPAIN,03801

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10015196/10015230/10015414.pdf?arnumber=10015414

Reference28 articles.

1. A simheuristic algorithm to set up starting times in the stochastic parallel flowshop problem

2. A HYBRID TWO-STAGE FLOWSHOP SCHEDULING PROBLEM

3. On the Use of Biased-Randomized Algorithms for Solving Non-Smooth Optimization Problems

4. Flow shop scheduling problems with assembly operations: a review and new trends

5. A Biased-Randomized Discrete-Event Algorithm for the Hybrid Flow Shop Problem with Time Dependencies and Priority Constraints

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