供应链管理问题的系统回顾:未来和过去的建模方法

R. Rogulin
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引用次数: 0

摘要

由于供应链系统的复杂性,数学建模已成为管理供应链的必要工具。它允许流程优化、需求预测、资源分配和缺陷识别。本文考察了供应链管理中数学建模的现状,包括各种类型的模型、在该领域遇到的问题以及未来的趋势。此外,探讨了数学模型在库存管理、运输、生产计划和供应商选择中的应用。文章还讨论了人工智能和区块链等新技术对这一领域的革命性影响。强调了数学建模在供应链管理中的重要性及其提高供应链效率和有效性的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SYSTEMATIC REVIEW OF THE SUPPLY CHAIN MANAGEMENT PROBLEM: FUTURE AND PAST MODELING APPROACHES
Due to the complexity of the systems involved in supply chains, mathematical modeling has become a necessary tool for their management. It allows for process optimization, demand forecasting, resource allocation, and identification of deficiencies. This article examines the current state of mathematical modeling in supply chain management, including various types of models, problems encountered in this field, and future trends. In addition, the use of mathematical modeling in inventory management, transportation, production planning, and supplier selection is explored. The potential of new technologies such as artificial intelligence and blockchain to revolutionize this area is also discussed. The importance of mathematical modeling in supply chain management and its potential to enhance the efficiency and effectiveness of supply chains is emphasized.
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