Multi-attribute Graph Based Mixed Integer Linear Programming Model for a Job Shop Scheduling Problem Considering Intelligent Vehicle Transport-Reference-Cited by-同舟云学术

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Multi-attribute Graph Based Mixed Integer Linear Programming Model for a Job Shop Scheduling Problem Considering Intelligent Vehicle Transport

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Machine Learning, Control, and Robotics (MLCR)
language:
Short-container-title:

Author:

Zhang Hui¹,Huang Min²

Affiliation:

1. School of Economics and Management, Jiangsu University of Science and Technology,Zhenjiang,China

2. College of Information Science and Engineering, Northeastern University,Stat Key Laboratory of Synthetical Automation for Process Industries,Shenyang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10036947/10036955/10037077.pdf?arnumber=10037077

Reference13 articles.

1. Flexible truckload pickup and delivery problem considering reserved orders and fuel consumption

2. A mixed integer linear programming modelling for the flexible cyclic jobshop problem

3. Sequencing and Scheduling in Robotic Cells: Recent Developments

4. A Classification Schema for the Job Shop Scheduling Problem with Transportation Resources: State-of-the-Art Review

5. Distributed scheduling problems in intelligent manufacturing systems

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