Optimal Enterprise: Structures, Processes and Mathematics of Knowledge, Technology and Human Capital

In the modern world, most gross product is created within Enterprise firms, project programs, state agencies, transnational corporations and their divisions, as well as various associations and compositions of the above entities. Enterprises, being, on the one hand, complex, and, on the other hand, widespread systems, are the subject matter of cybernetics, system theory, operations research, management sciences and many other fields of knowledge.

However, the complexity of the system obstructs the development of mathematically rigorous foundations for Enterprise control. Moreover, methods of operations research and related sciences, which are widely used in practice, provide optimization of the constituents of an Enterprise, without modeling it as a whole system. But the optimization of parts does not lead to the optimality of the whole, and, also, the absence of top-down and holistic mathematical models of Enterprise contradicts the principle of holism and the system approach.

The approach in this book looks first at Enterprise Systems and their essential aspects as complex sociotechnical systems composed of integrated sets of structural and process models (Chapters 1 and 2). A uniform description of all the heterogeneous fields of the modern Enterprise (marketing, sales, manufacturing, HR, finance, etc.) is then made, and the Enterprise Control Problem is posed as a top-down and holistic mathematical optimization problem (Chapter 3). Original models and methods of contract theory (Chapter 4), technology management (Chapter 5), human behavior and human capital (Chapter 6) and complex activity and resource planning (Chapter 7) are developed to solve the problem. Structural processes and mathematical models constitute an Optimal Enterprise Control Framework (Chapter 8) that provides a practical solution to the Enterprise Control Problem.

This book is a resource for　postgraduate and doctoral students, postdoctoral researchers and professors with research interests in the following fields of science:

• Fundamental Complex Systems study, Complex Systems Engineering, Enterprise Systems Engineering
• Applications of Operations Research, Optimization, Probability and Stochastic processes to Management Science, Economics and Business
• Theory of the Firm
• Business and Management - general, strategy/leadership, organization management, operations management and management information systems
• Theory of Business Processes, Business Processes Improvement and Reengineering

在現代世界中，大部分的總生產產值是由企業公司、專案計畫、政府機構、跨國公司及其分支機構，以及各種相關組織所創造的。企業作為一個既複雜又廣泛的系統，是控制論、系統理論、運籌學、管理科學等多個知識領域的研究對象。

然而，系統的複雜性阻礙了對企業控制的數學嚴謹基礎的發展。此外，運籌學和相關科學的方法在實踐中被廣泛應用，可以優化企業的各個組成部分，但這種部分的優化並不能導致整體的最優化，而且缺乏自上而下和整體化的企業數學模型與整體化原則相矛盾。

本書的方法首先關注企業系統及其作為複雜社會技術系統的基本方面，由整合的結構和過程模型組成（第1章和第2章）。然後對現代企業的所有異質領域（市場營銷、銷售、製造、人力資源、財務等）進行統一描述，並將企業控制問題定義為自上而下和整體化的數學優化問題（第3章）。本書還開發了契約理論（第4章）、技術管理（第5章）、人類行為和人力資本（第6章）以及複雜活動和資源規劃（第7章）的原始模型和方法來解決這個問題。結構過程和數學模型構成了一個最優企業控制框架（第8章），提供了對企業控制問題的實際解決方案。

本書是研究以下科學領域的碩士和博士研究生、博士後研究員和教授的資源：

- 基礎複雜系統研究、複雜系統工程、企業系統工程
- 運籌學、優化、概率和隨機過程在管理科學、經濟學和商業領域的應用
- 公司理論
- 商業和管理 - 一般、戰略/領導力、組織管理、運營管理和管理信息系統
- 商業流程理論、商業流程改進和再造

Mikhail Belov is Deputy CEO of IBS, responsible for new technology and business development in the area of engineering IT systems, PLM and other industrial IT systems. His 38-year career has centered on systems engineering, operations research, economics and finance, IT, electronics.

Mikhail was Vice-President of Metrosvyaz, Deputy Finance Director of TOKOBANK, and President & Owner of Geliosoft Consulting, a startup company focused on cutting-edge technologies, such as an ultra-wideband multi-radar system.

Mikhail holds an MS in electronics from Moscow Engineering Physics Institute and a PhD in operations research and applied math statistics from the Central Scientific Research Institute.

Doctor of Science (Techn.), he also holds an MBA in finance.

Dmitry Novikov is director of Institute of Control Sciences of Russian Academy of Sciences. His scientific interests cover: Control Theory, Cybernetics, Game Theory, Decision-making, Collective Behavior. More than 500 publications (see the full publication history), including more than 20 monographs (Springer, CRC, etc), textbooks and brochures; more than 100 papers in leading journals.

He has more than 25 year's extensive experience in the field of scientific and technological projects and company management (manufacturing sphere, research, teaching, consulting).

Dmitry is Doctor of Science (Techn.), Professor, Corresponding member of Russian Academy of Sciences, Head of Control Sciences Department of Moscow Institute of Physics and Technology

Mikhail Belov是IBS的副首席執行官，負責工程IT系統、PLM和其他工業IT系統的新技術和業務發展。他有38年的職業生涯專注於系統工程、運營研究、經濟學和金融學、IT和電子學。

Mikhail曾擔任Metrosvyaz的副總裁，TOKOBANK的副財務總監，以及Geliosoft Consulting的總裁和所有者。Geliosoft Consulting是一家專注於尖端技術的初創公司，如超寬頻多雷達系統。

Mikhail擁有莫斯科工程物理學院的電子學碩士學位，以及中央科學研究所的運營研究和應用數學統計學的博士學位。他還擁有金融學的MBA學位。

Dmitry Novikov是俄羅斯科學院控制科學研究所的所長。他的科學興趣包括控制理論、控制論、博弈論、決策、集體行為。他發表了500多篇論文（請參閱完整的出版物歷史），包括20多本專著（Springer、CRC等）、教科書和手冊；在領先期刊上發表了100多篇論文。

他在科學技術項目和公司管理（製造領域、研究、教學、咨詢）方面擁有超過25年的豐富經驗。

Dmitry是科學博士（技術）、教授，俄羅斯科學院通信院士，莫斯科物理技術學院控制科學系主任。