Optimization of production, distribution, natural resources and capacity planning throughout process sector worldwide supply chains with various goals

IF 10.2 2区 经济学 0 ENVIRONMENTAL STUDIES Resources Policy Pub Date : 2024-08-28 DOI:10.1016/j.resourpol.2024.105187
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Abstract

This study delves into the intricate dynamics of green transformation within global mining and other process industries, focusing on production, distribution, and capacity planning under the framework of the Asian Mineral Vision. By addressing sustainability, resource efficiency, and cost reduction, the research highlights the multifaceted challenges faced by industry participants in achieving green objectives. In addition to financial efficiency, the study emphasizes the importance of customer service quality and responsiveness. To tackle these challenges, we propose a novel multiobjective mixed-integer linear programming (MILP) approach. The model incorporates key goals such as minimizing total cost, total flow time, and total missed sales, reflecting the interconnected nature of financial efficiency, operational agility, and customer satisfaction. To further enhance the model's flexibility, we integrate discrete strategies for plant capacity expansion, recognizing the crucial role of capacity management in responding to evolving demand dynamics. The multiobjective optimization problem is addressed using the lexicographic minimax technique and the ε-constraint method. A comprehensive numerical example illustrates the practical relevance and effectiveness of our proposed model and solution methods, providing valuable insights into improving the resilience and performance of green supply chain networks in the process industry.

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优化生产、分销、自然资源和能力规划,贯穿整个流程部门的全球供应链,实现各种目标
本研究深入探讨了全球采矿业和其他加工业绿色转型的复杂动态,重点关注《亚洲矿业愿景》框架下的生产、分销和产能规划。通过探讨可持续发展、资源效率和降低成本,研究强调了行业参与者在实现绿色目标时所面临的多方面挑战。除了财务效率,研究还强调了客户服务质量和响应速度的重要性。为了应对这些挑战,我们提出了一种新颖的多目标混合整数线性规划(MILP)方法。该模型包含了总成本最小化、总流通时间最小化和总错过销售额最小化等关键目标,反映了财务效率、运营灵活性和客户满意度之间的相互联系。为了进一步增强模型的灵活性,我们考虑到产能管理在应对不断变化的需求动态中的关键作用,将工厂产能扩张的离散策略纳入其中。多目标优化问题采用了词典最小值技术和 ε 约束方法。一个全面的数值示例说明了我们提出的模型和求解方法的实用性和有效性,为提高加工业绿色供应链网络的弹性和性能提供了宝贵的见解。
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来源期刊
Resources Policy
Resources Policy ENVIRONMENTAL STUDIES-
CiteScore
13.40
自引率
23.50%
发文量
602
审稿时长
69 days
期刊介绍: Resources Policy is an international journal focused on the economics and policy aspects of mineral and fossil fuel extraction, production, and utilization. It targets individuals in academia, government, and industry. The journal seeks original research submissions analyzing public policy, economics, social science, geography, and finance in the fields of mining, non-fuel minerals, energy minerals, fossil fuels, and metals. Mineral economics topics covered include mineral market analysis, price analysis, project evaluation, mining and sustainable development, mineral resource rents, resource curse, mineral wealth and corruption, mineral taxation and regulation, strategic minerals and their supply, and the impact of mineral development on local communities and indigenous populations. The journal specifically excludes papers with agriculture, forestry, or fisheries as their primary focus.
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