Chemotherapy Appointment Scheduling: Addressing Uncertainty and Fairness
暫譯: 化療預約排程：應對不確定性與公平性

Gul, Serhat, Karsu, Özlem

Chemotherapy Appointment Scheduling: Addressing Uncertainty and Fairness
  • 出版商: Springer
  • 出版日期: 2026-02-04
  • 售價: $2,620
  • 貴賓價: 9.8 折 $2,567
  • 語言: 英文
  • 頁數: 71
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032115515
  • ISBN-13: 9783032115515
  • 相關分類: 管理與領導 Management-leadership

    • 海外代購書籍(需單獨結帳)

商品描述

This book discusses how analytics can handle uncertainty and fairness issues in scheduling chemotherapy treatments. Specifically, the authors explore the complexities of chemotherapy scheduling, showing how analytics can be used to create fairer and more efficient chemotherapy schedules. By addressing uncertainty in infusion times and balancing the needs of both patient and staff, the book offers novel insights, practical models, and actionable solutions for healthcare professionals aiming to improve patient care in chemotherapy clinics. Readers will gain a deep understanding of the unique challenges in scheduling chemotherapy treatments, with a focus on handling uncertainty in treatment durations, coordinating clinic resources, and ensuring fairness among patients. This book uses real data from chemotherapy clinics to develop models and generate solutions representing fair and efficient schedules. Alongside methodological knowledge, readers will acquire managerial insights that can directly enhance the scheduling processes in real-world oncology settings.

商品描述(中文翻譯)

本書探討了分析如何處理化療治療排程中的不確定性和公平性問題。具體而言，作者探討了化療排程的複雜性，展示了如何利用分析來創建更公平且更有效的化療排程。通過解決輸液時間的不確定性並平衡患者和工作人員的需求，本書為希望改善化療診所患者護理的醫療專業人員提供了新穎的見解、實用的模型和可行的解決方案。讀者將深入了解化療治療排程中的獨特挑戰，重點在於處理治療持續時間的不確定性、協調診所資源以及確保患者之間的公平性。本書使用來自化療診所的真實數據來開發模型並生成代表公平和有效排程的解決方案。除了方法論知識外，讀者還將獲得管理見解，這些見解可以直接提升現實世界腫瘤科環境中的排程流程。

作者簡介

Serhat Gul, Ph.D., is an Associate Professor in the Department of Industrial University at TED University. He completed his Ph.D. and M.Sc. in Industrial Engineering at Arizona State University in 2010 and 2007, respectively, and earned his B.Sc. in Industrial Engineering from Sabancı University in 2006. He has been a faculty member at TED University in Ankara, Turkey, since 2014. In 2023-2024, he served as a visiting assistant professor at the Isenberg School of Management, University of Massachusetts Amherst. Dr. Gül's primary research interests lie in stochastic optimization and its applications to healthcare delivery systems.

Özlem Karsu, Ph.D., is an Associate Professor in the Department of Industrial Engineering at Bilkent University and a visiting scholar at the Technical University of Munich for the 2025-2026 academic year. She received her B.S and M.S. degrees from the Industrial Engineering Department of the Middle East Technical University, in 2008 and 2010, respectively. She received her Ph.D. degree in Operational Research from the London School of Economics in 2014. Dr. Karsu's research lies in the domains of inequity-averse optimization and multicriteria decision making. She aims to help decision makers to address equity (fairness) concerns through operations research tools.

作者簡介(中文翻譯)

Serhat Gul 博士是土耳其 TED 大學工業系的副教授。他於 2010 年和 2007 年分別在亞利桑那州立大學獲得工業工程的博士和碩士學位，並於 2006 年在薩班基大學獲得工業工程的學士學位。自 2014 年以來，他一直是土耳其安卡拉 TED 大學的教職員。2023-2024 年，他在馬薩諸塞州大學阿默斯特分校的伊森伯格管理學院擔任訪問助理教授。Gül 博士的主要研究興趣在於隨機優化及其在醫療服務系統中的應用。

Özlem Karsu 博士是比爾肯特大學工業工程系的副教授，並於 2025-2026 學年擔任慕尼黑工業大學的訪問學者。她於 2008 年和 2010 年分別在中東科技大學工業工程系獲得學士和碩士學位，並於 2014 年在倫敦政治經濟學院獲得運籌學的博士學位。Karsu 博士的研究領域包括反不平等優化和多準則決策。她旨在通過運籌學工具幫助決策者解決公平性（公正性）問題。

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