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出版者:

作者:Muller-Merbach, Heiner

出品人:

页数:300

译者:

出版时间:2011-3

价格:$ 135.54

装帧:

isbn号码:9780387721545

丛书系列:

图书标签:

运筹学
管理科学
优化
建模
决策分析
线性规划
整数规划
排队论
仿真
库存管理

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具体描述

"The History and Development of Operations Research and Management Science" will provide - for the first time - a historical context for the entire field of Operations Research/Management Science. This enables each researcher, student, and practitioner to put their own work (which is only part of the broader OR/MS domain in the Applied Sciences) into a historical perspective. "Operations Research and Management Science: A History of the New Approach to Problems" (Volume 1) provides a broad understanding including the OR/MS approach to problems, the scope of problem-solving methodologies across the specific methodologies in the field and the modeling advances with the appropriate mathematical tools illustrated. The dynamic, continually developing nature of OR/MS is stressed throughout the volumes. "Qualitative Development of OR/MS" (Volume 2) outlines the development of the qualitative (non-mathematical) approach to OR/MS. The writings of the founding and leading thinkers and scholars in the qualitative stream are excerpted with Muller-Merbach's editorial commentary linking these facets of the OR/MS into sequential stages of its historical development. The volume outlines the qualitative aspect of OR/MS in the historical context of the field. "Qualitative Development of OR/MS" (Volume 3) charts the development of the quantitative advances (progress) in OR/MS. The contributions of the pioneers and leading research scholars in the quantitative school will be excerpted with Muller-Merbach's editorial commentary linking these facets of OR/MS into sequential stages of its historical development. The volume uses the classical work of the pioneers to better understand the current state-of-the-art in the quantitative school.

《Operations Research and Management Science》是一本系统性地介绍了现代管理科学与决策优化方法的学术著作。其核心内容聚焦于运筹学、经济学及管理理论的深度分析，通过严谨的数理模型和数据分析，为复杂问题提供有效的解决方案。这本书不仅涵盖了经典的线性规划、整数规划等技术工具，还系统介绍了实时优化、人工智能在决策支持中的应用及其实践案例。内容覆盖范围广泛，既包括理论框架的建立，也注重实际问题的转化和操作方法的讲解。书中详细阐述了数学建模与变量分析的逻辑结构，帮助读者掌握从问题描述到优化方案求解全过程的思路。作者将复杂的概念以清晰易懂的方式展现，注重理论与实践的结合，强调通过数据驱动和科学方法来提升决策效率。这不仅适用于学术研究，也为企业管理者、经济学家以及相关领域的从业人员提供了实用的工具和视角。书中章节丰富，内容层次分明，从基础理论到前沿应用，都力求全面呈现知识体系的完整性。这一作品特别强调了分析与决策在各个行业中的重要性，通过详细案例展示了其实际效果，使读者能够更直观地理解理论的应用价值。书中还深入探讨了优化方法的前沿发展，包括机器学习算法在管理科学中的潜力，帮助用户预见未来技术变革对研究方向的影响。这种全面性和前瞻性的分析使其成为管理与决策领域专业人士的重要参考资料。书籍的结构设计体现了逻辑严谨与实用结合，内容丰富且深度浅到适中，适合不同层次的读者理解。每一章节都经过精心编排，从基础概念出发，逐步引导读者掌握关键知识点，并通过具体案例加深理解。这种分阶段、层次明确的安排，使得读者在学习过程中能够系统地积累专业技能，同时保持对复杂内容的清晰把握。总体而言，这本书不仅是管理科学与运筹学领域深入研究的宝贵资源，也是提升实际决策能力的重要工具。其详尽的内容和清晰的表达方式，使读者能够在理论探索与现实应用之间找到平衡，真正实现知识的转化与实践。通过阅读，这本书将为用户提供强有力的支持，让他们在纷繁复杂的管理环境中游刃有余。