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Solving the Dynamic Complexity Dilemma: Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm
為了解決Increase energy effi的問題，作者Abu El Ata, Nabil/ Perks, Maurice J. 這樣論述
為了解決Increase energy effi的問題，作者蔡念志 這樣論述

Solving the Dynamic Complexity Dilemma: Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm

為了解決Increase energy effi的問題，作者Abu El Ata, Nabil,Perks, Maurice J. 這樣論述：

Dynamic complexity results from hidden, un-known factors--or more precisely, interactions between factors--that can unexpectedly im-pact the perfor-mance of systems. When the influences of dynamic complexity are not meas-ured and understood, new never-seen-before behaviors can come as unwelcomed sur

prises, which disrupt the performance of systems. Left alone, processes that were once prized for their effi-ciency unexpectedly begin to degrade--costs increase, while volumes and quality decline. Evidence of problems may come too late for effective resolution as technology advance-ments induce rap

id change and compress the time available to react to that change. The results of dynamic complexity are always negative and unmanaged dynamic complexity can bring business or global systems to the point of sudden chaos. The 2009 H1N1 pandemic, 2008 Credit Crunch and 2011 Fukushima Daiichi nuclear d

isaster are global examples of the dangers of undiagnosed dynamic complexity.With increasing frequency executive leaders today are discovering that their business and IT system performance levels are not meeting expectations. In most cases these performance deficiencies are caused by dynamic complex

ity, which lies hidden like a cancer until the symptoms reveal themselves--often when it is too late to avoid negative impacts on business outcomes. This book examines the growing business problem of dynamic complexity and presents a path to a practical solution. To achieve better predictability, or

ganizations must be able to expose new, dangerous patterns of behavior in time to take corrective actions and know which actions will yield the optimal results. The book authors promote new methods of risk management that use data collection, analytics, machine learning and automation processes to h

elp organizations more accurately predict the future and take strategic actions to improve performance outcomes. The presented means of achieving this goal are based upon the authors' practical experiences, backed by scientific principles, and results achieved through consulting engagements with ove

r 350 global organizations. Dr. Nabil Abu el Ata, Founder and CEO, Accretive Technologies as Accretive’s founder and CEO, Dr. Abu el Ata has invested over 20 years in perfecting the science behind the company’s X-Act Platform with over 15 patents. He offers a breadth of analytical skills, risk man

agement and business intelligence expertise, as well as IT and business process management knowledge. To say Dr. Abu el Ata has a passion for mathematics, science and technology and more specifically modeling of dynamic complexity for corporate systems would be under-statement. Having published two

books, 15 scientific papers, and over 300 tech-nical and management reports, he has a proven ability to absorb, process and add insight on a wide variety of technological subjects. Dr. Abu el Ata’s accomplishments include doctorate (Ph.D. and D.Sc. from Paris-Sorbonne) and bachelor’s degrees in Math

ematics and a master’s degree in Physi-cal Sciences (Royal Observatory, Cambridge University).He is a valued former Doctorate Fellow of the European Space Organization; former Data Processing Director and Advisor for the French Atomic Energy Authority; and former CTO of First Data. Dr. Abu el Ata is

also an advisory board member of the European Strategic Program for Research in IT; a Steering Committee member for European Programs: Pyramid, Europicon and Itaqua; an advisor to CLS, Deutsche Bank, First Data and BNPP and an advisory board member of French Employment Organization, French Ministry

of Finance, French Postal Services, one of France’s largest banks (Credit Agricole); an External Professor for a number of universities in France, the UK, and the US; and Laureate of ComputerWorld Honors 2008.Dr. Maurice J. Perks, Board Technology Adviser Accretive Technologies Dr. Perks joined IB

M in 1968 as a Systems Engineer. Over the span of his 44-year career with IBM, Dr. Perks specialized in the design of IT systems for large organizations. He is a world authority on the development of IT sys-tems in a range of industry sectors, and particularly the financial sector. Dr. Perks is note

d for his methodological approach, which helps to understand and assess the complex-ity of systems, and his ability to apply that knowledge to design and modify complex sys-tems. He is currently working to promote under-standing of modern IT systems complexity and is bringing new ways of combining t

he triangle of business knowledge, IT knowledge and mathematics to this challenge. He is constantly seeking new ways of avoiding the increasing complexity that IT sys-tems are externalizing to business change. He is a great believer in the increased use of modeling and simulation to help tame the gr

owing challenges that business and IT change pose. His ability to understand real-world business and IT system design was recognised by IBM in 2002, when Dr. Perks became the first IBM Fellow to be appointed from within the IBM Services Division. As a Fellow of the British Computer Society, a Fellow

of the Institute of Engineering and Tech-nology and a Royal Academy of Engineer-ing Visiting Professor of IT Integration at the University of York, Dr. Perks offers a wealth of knowledge and real world experience as Accretive’s Board of Director, Technology Advisor. The Aston University, UK has rec

ognized his sustained work on complex system design.

應用自開發之程序控制系統於電漿電解氧化製程以探討氧化膜性能提升機制之研究

為了解決Increase energy effi的問題，作者黃冠諭這樣論述：

誌謝 I中文摘要 II英文摘要 IV目次 VI圖目次 X表目次 XVIIIChapter.1 前言 11.1 電漿電解氧化技術的發展背景 11.2 研究動機 4Chapter.2 電漿電解氧化處理 52.1 電漿電解氧化(PEO) 52.1.1 電漿電解氧化機制原理 62.1.2 膜層電擊穿機制 112.1.3 電漿電解氧化之電源參數影響 152.1.4 PEO製程的物理/化學反應機制 182.2 PEO氧化膜層特性 252.2.1 膜層的反應與形成機制 252.2.2 PEO處理中常見的基材金屬 292.3 PEO製程常見的電解

質成分 342.4 程序控制法 382.5 應用於Mn摻雜TiO2光催化劑薄膜 402.5.1 揮發性有機汙染物 402.5.2 光催化反應機制 412.5.3 Mott-Schottky方程 442.5.4 二氧化鈦光觸媒 462.5.5 二氧化鈦光觸媒的製備方法 512.5.6 提升二氧化鈦光觸媒光吸收效能之技術 542.6 應用於HA與L乳酸鈣於生醫改質氧化膜層 572.6.1 PEO於生醫改質之發展與應用 572.6.2 PEO生醫改質中常見的金屬植體 582.6.3 氫氧基磷灰石與L-乳酸鈣於生醫改質之用途 592.7 研究目的與實

驗規劃 61Chapter.3 程序控制法於PEO製程之應用 633.1 實驗方法 633.1.1 程序控制系統與設備 633.1.2 實驗設計 643.1.3 Mn: TiO2光催化劑實驗流程設計 683.1.4 以懸浮液搭配程序控制PEO製備TiO2膜層之流程設計 713.1.5 以離子溶液液搭配程序控制PEO製備TiO2膜層之流程設計 743.2 實驗基材選用與藥品準備 773.3 程序控制法於PEO製程基本分析 793.3.1 電源系統監控分析 793.3.2 膜層表面形貌與成分分析 793.3.3 孔徑與孔隙率分析 793.3.4

晶體結構相組成分析 803.3.5 紫外光－可見光吸收光譜分析 813.3.6 載子濃度分析 813.3.7 X射線光電子能譜分析 823.3.8 懸浮微粒之粒徑大小分析 83Chapter.4 多階段程序控制於PEO處理製備摻雜Mn: TiO2光催化劑 844.1 Mn: TiO2光催化劑特性探討 844.1.1 第一步驟製程設計對二氧化鈦膜層影響 844.1.2 不同含浸濃度錳離子對於二氧化鈦特性比較 904.1.3 不同電源模式含錳離子之二氧化鈦特性差異 1034.1.4 含浸法對錳離子含量之影響與離子機制之探討 1144.2 光觸媒催化效能測

試 119Chapter.5 以懸浮液搭配多階段程序控制PEO進行TiO2膜層製備 1215.1 HA於多階段程序控制PEO之影響 1215.1.1 單階段程序控制於PEO膜層特性之探討 1215.1.2 雙階段程序控制於PEO膜層特性之探討 1225.1.3 多階段程序控制於PEO膜層特性之探討 1295.2 HA於增加陽極氧化前處理之影響 1415.2.1 陽極處理膜層之特性探討 1415.2.2 陽極處理－多階段程序控制PEO膜層特性探討 142Chapter.6 以離子溶液搭配多階段程序控制PEO進行TiO2膜層製備 1626.1 電解液A於PE

O不同階段製程之膜層特性探討 1626.1.1 電解液A之乳酸鈣於雙階段PEO製程影響 1626.1.2 電解液A之乳酸鈣於三階段PEO製程影響 1706.2 電解液B於PEO不同階段製程之膜層特性探討 1736.2.1 電解液B之乳酸鈣於雙階段PEO製程影響 1736.2.2 電解液B之乳酸鈣於三階段PEO製程影響 182Chapter.7 結論與未來展望 1917.1 結論 1917.2 未來展望 192參考文獻 193

Solving the Dynamic Complexity Dilemma: Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm

為了解決Increase energy effi的問題，作者Abu El Ata, Nabil/ Perks, Maurice J. 這樣論述：