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A hybrid approach to sequencing jobs using heuristic rules and neural networks

Published:1995-09 Issue:5 Volume:6 Page:445-454
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

KIM SOO-YOUNG¹,LEE YOUNG-HOON²,AGNIHOTRI DILLIP³

Affiliation:

1. a Department of Industrial Engineering , Pohang University of Science and Technology , P.O. Box 125, Pohang, South Korea

2. b Semiconductor Division , Samsung Electronics Co , Kihung, South Korea

3. c Rutgers University , Piscataway, NJ, 08855, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537289508930302

Reference25 articles.

1. Scheduling for minimizing total actual flow time by neural networks

2. Sequencing Rules and Due-Date Assignments in a Job Shop

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