Fundamentals of Industrial Problem Solving: A Practitioner's Guide
Jacobson, David M., Livingston, Dana, Chauvel, J. P.
- 出版商: Wiley
- 出版日期: 2022-08-16
- 售價: $5,330
- 貴賓價: 9.5 折 $5,064
- 語言: 英文
- 頁數: 400
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119543185
- ISBN-13: 9781119543183
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相關主題
商品描述
Teaches Readers How to Apply a Structured Problem-Solving Methodology for Industrial Fields Based on Sound Scientific Principles
As modern industrial processes have become increasingly complex, complicated multi-factor problems have emerged. These complex problems end up costing companies millions of dollars every day. Existing problem-solving techniques are only effective to a certain point. This book provides a solution to a myriad of industrial problems by using first principles and rigorous hypothesis testing. Key topics covered within the work include:
- How to use the latest research, advanced modeling, big data mining, analytical testing, and many other techniques to systematically create and test hypotheses surrounding why a process is malfunctioning
- How to use scenario development to frame a team's understanding of why a process is malfunctioning
- How to approach today's lack of experienced industrial workers, whose failure to approach problem solving from first fundamentals are causing myriad of inefficiencies in industry
- How to use multiple methodologies together with an emphasis on first principles and mechanistic math modeling as a basis to industrial problem solving
Engineers of any discipline working in both research and development of manufacturing environments, along with professionals in any industrial discipline looking to reduce costs will be able to use this work to both understand and pragmatically solve the pressing issues we see in today's industrial market.
商品描述(中文翻譯)
教讀者如何根據堅實的科學原則，應用結構化問題解決方法論於工業領域
隨著現代工業流程變得越來越複雜，出現了複雜的多因素問題。這些複雜問題每天都會給公司造成數百萬美元的損失。現有的問題解決技術只能在一定程度上發揮作用。本書通過使用第一原理和嚴謹的假設檢驗，為眾多工業問題提供了解決方案。本書涵蓋的主要主題包括：
- 如何使用最新的研究、先進的建模、大數據挖掘、分析測試等技術，系統地創建和測試關於為何流程故障的假設
- 如何使用情景發展來框架團隊對流程故障原因的理解
- 如何應對當今缺乏經驗的工業工人，他們未能從基本原理出發進行問題解決，從而在工業領域造成了許多低效
- 如何將多種方法融合在一起，強調以第一原理和機械數學建模為基礎的工業問題解決
任何從事研究和開發製造環境的工程師，以及任何希望降低成本的工業領域專業人士，都可以使用本書來理解並實際解決我們在當今工業市場上所面臨的迫切問題。
作者簡介
Zdravko I. Stefanov PhD (Texas Tech University) is an experienced problem solver with 20 years of demonstrated history of working in the pulp & paper and the chemicals industry. He has extensive experience in chemical engineering, multivariate data analysis, advanced process control and continuous improvement.
Eldad Herceg PhD (University of Illinois) is an accomplished industrial problem solver and holds experience in applied Quantum Mechanics with an emphasis on solid-state chemistry and processes.
Carla Schmidt PhD (University of Texas) began her career in 1998. As a Fundamental Problem Solver, she uses analytical chemistry to identify the root causes of manufacturing and R&D problems such as fouling, corrosion and trace chemistries that lead to color and odor issues.
David M. Jacobson is a University of Kansas BS Chem. Engr. with 32 years in the chemical industry and certifications in Six Sigma Master Blackbelt, Lean, and now working in Fundamental Problem Solving.
Dana Livingston is a University of Wyoming B.S Ch, E.1980 and University of California, Hass MBA 1990 with 42 years at The Dow Chemical Company and Corteva Agriscience working on complex projects in manufacturing and process development.
J.P. Chauvel, Jr PhD (University of California) has worked at Dow Chemical in many roles for over 30 years, focusing on problem solving in manufacturing processes.
Sunil Kumar Chaudhary, PhD (Lucknow University, India) worked in Analytical Sciences and Analytical Technology Center at the Dow Chemical Company for 30 years, leading large multidisciplinary complex projects and teaching the next generation of problem solvers.
Christopher Paul Christenson had a distinguished four-decade career with The Dow Chemical Company as a Corporate Fellow.
作者簡介(中文翻譯)
Zdravko I. Stefanov博士（德州理工大學）是一位有著20年工作經驗的經驗豐富的問題解決者，曾在紙漿和化學工業領域工作。他在化學工程、多變量數據分析、先進過程控制和持續改進方面擁有豐富的經驗。
Eldad Herceg博士（伊利諾伊大學）是一位有成就的工業問題解決者，擁有應用量子力學和固態化學與過程相關的經驗。
Carla Schmidt博士（德克薩斯大學）於1998年開始她的職業生涯。作為一位基礎問題解決者，她使用分析化學來確定製造和研發問題的根本原因，例如污垢、腐蝕和導致顏色和氣味問題的微量化學物質。
David M. Jacobson是堪薩斯大學化學工程學士，擁有32年的化學工業經驗，並擁有六西格瑪黑帶、精益等認證，目前從事基礎問題解決工作。
Dana Livingston於1980年獲得懷俄明大學化學工程學士學位，1990年獲得加州大學哈斯商學院MBA學位，並在陶氏化學公司和Corteva Agriscience工作了42年，從事製造和工藝開發的複雜項目。
J.P. Chauvel, Jr博士（加州大學）在陶氏化學公司擔任多個職位超過30年，專注於製造過程中的問題解決。
Sunil Kumar Chaudhary博士（印度Lucknow大學）在陶氏化學公司的分析科學和分析技術中心工作了30年，領導大型多學科複雜項目，並教導下一代問題解決者。
Christopher Paul Christenson在陶氏化學公司擔任企業研究員，擁有卓越的四十年職業生涯。
