A Lagrangian heuristic for integrated production planning, material ordering and investment multi-project scheduling in a project-driven supply chain

IF 2.2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Engineering Optimization Pub Date : 2023-11-10 DOI:10.1080/0305215x.2023.2276430

Ali Panchami Afra, Amirsaman Kheirkhah

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引用次数: 0

Abstract

AbstractEffective decision making in large project planning presents a significant challenge. Despite progress in developing mathematical models, few studies comprehensively address project and supply-chain management aspects in an integrated framework. This article presents an integrated approach for multi-project resource investment, material ordering and production planning in a project-driven supply chain. A mixed-integer programming model is developed to optimize the total cost of renewable resource investment, production, transportation, and material ordering and holding, with an opportunity to share mobile renewable resources across multiple projects. A Lagrangian relaxation heuristic algorithm is proposed to determine the upper and lower bounds for the objective function, with an additional set of valid cuts to reduce the distance between bounds. The results of numerical experiments demonstrate the favourable performance of the proposed algorithm compared to the GAMS solver. This article provides insights into supply-chain participant expenses and activity scheduling based on these findings.KEYWORDS: Project-driven supply chainmulti-project resource investmentmaterial orderingproduction planningLagrangian relaxation Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementThe authors confirm that the data supporting the findings of this study are available within the article.

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项目驱动供应链中集成生产计划、物料订购和投资多项目调度的拉格朗日启发式

大型项目规划中的有效决策提出了一个重大挑战。尽管在发展数学模型方面取得了进展，但很少有研究在一个综合框架中全面解决项目和供应链管理方面的问题。本文提出了一种在项目驱动的供应链中进行多项目资源投资、材料订购和生产计划的集成方法。为了优化可再生资源投资、生产、运输、材料订购和持有的总成本，并使可再生资源在多个项目间共享，建立了混合整数规划模型。提出了一种拉格朗日松弛启发式算法来确定目标函数的上界和下界，并增加了一组有效的切割来减小边界之间的距离。数值实验结果表明，与GAMS求解器相比，该算法具有良好的性能。本文提供了基于这些发现的供应链参与者费用和活动安排的见解。关键词:项目驱动供应链，多项目资源投资，材料订购，生产计划，拉格朗日松弛披露声明，作者未发现潜在的利益冲突。数据可用性声明作者确认在文章中可以获得支持本研究结果的数据。

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.