Introduction to Logistics Systems Management: With Microsoft Excel and Python Examples (Hardcover)

INTRODUCTION TO LOGISTICS SYSTEMS MANAGEMENT

The updated new edition of the award-winning introductory textbook on logistics system management

Introduction to Logistics Systems Management provides an in-depth introduction to the methodological aspects of planning, organization, and control of logistics for organizations in the private, public and non-profit sectors. Based on the authors' extensive teaching, research, and industrial consulting experience, this classic textbook is used in universities worldwide to teach students the use of quantitative methods for solving complex logistics problems.

Fully updated and revised, the third edition places increased emphasis on the complexity and flexibility required by modern logistics systems. In this context, the extensive use of data, descriptive analytics, predictive models, and optimization techniques will be invaluable to support the decisions and actions of logistics and supply chain managers. Throughout the book, brand-new case studies and numerical examples illustrate how various methods can be used in industrial and service logistics to reduce costs and improve service levels. The book:

• includes new models and techniques that have emerged over the past decade;
• describes methodologies for logistics decision making, forecasting, logistics system design, procurement, warehouse management, and freight transportation management;
• includes end-of-chapter exercises, Microsoft^(R) Excel^(R) files and Python computer codes for each algorithm covered;
• includes access to a companion website with additional exercises, links to video tutorials, and supplementary teaching material.

To facilitate creation of course material, additional LaTeX source data containing the formulae, optimization models, tables and algorithms described in the book is available to instructors.

Introduction to Logistics Systems Management, Third Edition remains an essential textbook for senior undergraduate and graduate students in engineering, computer science, and anagement science courses. It is also a highly useful reference for academic researchers and industry practitioners alike.

《物流系統管理導論》簡介

《物流系統管理導論》是一本屢獲殊榮的物流系統管理入門教科書的最新修訂版。本書深入介紹了規劃、組織和控制私營、公共和非營利部門組織物流的方法論方面。基於作者們豐富的教學、研究和工業諮詢經驗，這本經典教科書被全球各大學用於教授學生使用量化方法解決複雜的物流問題。

全面更新和修訂的第三版更加強調現代物流系統所需的複雜性和靈活性。在這個背景下，廣泛使用數據、描述性分析、預測模型和優化技術將對支持物流和供應鏈管理者的決策和行動非常有價值。全書通過全新的案例研究和數值示例說明了各種方法如何應用於工業和服務物流，以降低成本並提高服務水平。

本書特點如下：
- 包括過去十年出現的新模型和技術；
- 描述了物流決策、預測、物流系統設計、採購、倉庫管理和貨運運輸管理的方法論；
- 包括章末練習題、Microsoft® Excel®文件和每個算法的Python代碼；
- 提供附帶網站，包含額外的練習題、視頻教程鏈接和補充教材。

為了方便教學，教師可以獲得額外的LaTeX源數據，其中包含書中描述的公式、優化模型、表格和算法。

《物流系統管理導論，第三版》仍然是工程、計算機科學和管理科學高年級本科生和研究生的必讀教科書。同時，它也是學術研究人員和行業從業者的重要參考資料。

Gianpaolo Ghiani, Professor of Operations Research, University of Salento, Lecce, Italy.

Gilbert Laporte, Professor Emeritus, Department of Decision Sciences, HEC, Montréal, Canada and University of Bath, United Kingdom.

Roberto Musmanno, Professor of Operations Research, University of Calabria, Italy.

Gianpaolo Ghiani，義大利萊切薩倫托大學運籌學教授。
Gilbert Laporte，加拿大蒙特利爾HEC決策科學系名譽教授，英國巴斯大學教授。
Roberto Musmanno，義大利卡拉布里亞大學運籌學教授。