Research on discrete intelligent workshop lot-streaming scheduling with variable sublots under engineer to order-Reference-Cited by-同舟云学术

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Research on discrete intelligent workshop lot-streaming scheduling with variable sublots under engineer to order

Published:2022-03 Issue: Volume:165 Page:107928
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Li Lele

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference48 articles.

1. Jobshop Scheduling for Skill-Dependent Make-to-Order System;Al-Hinai,2015

2. APS Feasibility in an Engineer to Order Environment;Alfnes,2019

3. Batch division and parallel scheduling optimization of flexible job shop;Benzhu;Computer Integrated Manufacturing Systems,2016

4. Flexible job shop scheduling with lot streaming and sublot size optimisation;Bożek;International Journal of Production Research,2018

5. Job-shop scheduling with multi-purpose machines;Brucker;Computing,1990

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tri-objective lot-streaming scheduling optimization for hybrid flow shops with uncertainties in machine breakdowns and job arrivals using an enhanced genetic programming hyper-heuristic;Computers & Operations Research;2024-12

2. Flexible job-shop scheduling problem with variable lot-sizing: An early release policy-based matheuristic;Computers & Industrial Engineering;2024-07

3. Solving multi-objective hybrid flowshop lot-streaming scheduling with consistent and limited sub-lots via a knowledge-based memetic algorithm;Journal of Manufacturing Systems;2024-04

4. Scheduling Distributed Flexible Assembly Lines using Safe Reinforcement Learning with Soft Shielding;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

5. An improved genetic algorithm with an overlapping strategy for solving a combination of order batching and flexible job shop scheduling problem;Engineering Applications of Artificial Intelligence;2024-01

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