Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning

Stevens, Robert

Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning
  • 出版商: CRC
  • 出版日期: 2023-10-03
  • 售價: $2,500
  • 貴賓價: 9.5 折 $2,375
  • 語言: 英文
  • 頁數: 88
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032424389
  • ISBN-13: 9781032424385
  • 相關分類: Machine Learning

    • 下單後立即進貨 (約2~4週)

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商品描述

Nearly all our safety data collection and reporting systems are backwardlooking: incident reports; dashboards; compliance monitoring systems; and so on. This book shows how we can use safety data in a forward-looking, predictive sense.

Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning contains real use cases where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risks. It discusses how Predictive Safety Analytics is an opportunity to break through the plateau problem where safety rate improvements have stagnated in many organizations. The book presents how the use of data, coupled with advanced analytical techniques, including machine learning, has become a proven and successful innovation. Emphasis is placed on how the book can "meet you where you are" by illuminating a path to get there, starting with simple data the organization likely already has. Highlights of the book are the real examples and case studies that will assist in generating thoughts and ideas for what might work for individual readers and how they can adapt the information to their particular situations.

This book is written for professionals and researchers in system reliability, risk and safety assessment, quality control, operational managers in selected industries, data scientists, and ML engineers. Students taking courses in these areas will also find this book of interest to them.

商品描述(中文翻譯)

幾乎所有我們的安全數據收集和報告系統都是向後看的：事故報告、儀表板、合規監控系統等等。這本書展示了我們如何以前瞻性、預測性的方式使用安全數據。

《預測性安全分析：通過建模和機器學習降低風險》包含了真實的使用案例，組織通過應用預測性分析來預見和減輕未來風險。它討論了預測性安全分析如何成為突破平台問題的機會，許多組織的安全率改善已經停滯不前。本書介紹了如何利用數據和先進的分析技術，包括機器學習，成為一種經過驗證的成功創新。重點是本書如何“迎合讀者的需求”，通過闡明一條路徑，從組織可能已經擁有的簡單數據開始。本書的亮點是真實的例子和案例研究，將有助於產生讀者的思考和想法，以找到適合他們個人情況的解決方案並適應相關信息。

本書針對系統可靠性、風險和安全評估、質量控制、選定行業的運營經理、數據科學家和機器學習工程師等專業人士和研究人員撰寫。在這些領域修讀課程的學生也會對本書感興趣。

作者簡介

Rob is part of the leadership team at First Analytics, a boutique analytical consulting firm. First Analytics designs and implements predictive analytics and machine learning solutions. The firm services multiple industries with many applications. With an enabling engagement model, the firm teams up with its clients to build their in-house capabilities and systems. In his role as Vice President at First Analytics, Rob helps companies develop and execute programs to cultivate their analytics competency. He brings experience to bear stemming from more than thirty years as an analytics professional, starting as an econometrician. His career has consisted of consulting, product development, client service, technical, and sales roles within software, consulting, and market research firms. Rob has participated in or led safety analytics implementations in the railroad, utility, oil and gas, and manufacturing industries. He has spoken on predictive safety analytics in venues such as National Safety Council congresses, an OSHA safety conference, human and organizational learning conferences, manufacturing forums, private analytics consortiums, and conferences and webinars sponsored by software companies.

作者簡介(中文翻譯)

Rob是First Analytics的領導團隊成員，First Analytics是一家精品分析咨詢公司。First Analytics設計並實施預測分析和機器學習解決方案。該公司為多個行業提供服務，並有多個應用領域。通過一種促進的參與模式，該公司與客戶合作建立其內部能力和系統。作為First Analytics的副總裁，Rob幫助公司制定並執行計劃，培養其分析能力。他擁有超過三十年的分析專業經驗，從經濟計量學家開始。他的職業生涯包括軟件、咨詢和市場研究公司的咨詢、產品開發、客戶服務、技術和銷售職位。Rob參與或領導了鐵路、公用事業、石油和天然氣以及製造業等行業的安全分析實施。他曾在國家安全委員會大會、OSHA安全會議、人力資源和組織學習會議、製造業論壇、私人分析聯盟以及由軟件公司贊助的會議和網絡研討會上發表有關預測安全分析的演講。

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