Research on two-machine flow shop scheduling problem with release dates and truncated learning effects

IF 2.2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Engineering Optimization Pub Date : 2024-08-14 DOI:10.1080/0305215x.2024.2372633

Dan-Yang Lv, Ji-Bo Wang

引用次数: 0

Abstract

In this article, a two-machine flow shop scheduling problem with release dates and truncated learning effects is studied. The objective is to find a sequence such that the total completion time is ...

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带发布日期和截断学习效应的双机流水车间调度问题研究

本文研究了一个具有发布日期和截断学习效应的双机流程车间排程问题。该问题的目标是找到一个序列，使总的完工时间为...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Engineering Optimization 管理科学-工程：综合

CiteScore

5.90

自引率

7.40%

发文量

审稿时长

3.5 months

期刊介绍： Engineering Optimization is an interdisciplinary engineering journal which serves the large technical community concerned with quantitative computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes. The policy of the journal treats optimization as any formalized numerical process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process. Innovation in optimization is an essential attribute of all papers but engineering applicability is equally vital. Engineering Optimization aims to cover all disciplines within the engineering community though its main focus is in the areas of environmental, civil, mechanical, aerospace and manufacturing engineering. Papers on both research aspects and practical industrial implementations are welcomed.