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  • 最適化 全ノウハウ: 分析のポイント

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最適化 全ノウハウ: 分析のポイント

3.0 out of 5 stars (1)

最適化に取り組む際、実務上の苦労や課題は多岐にわたります。まず、最適化問題のモデル化自体が大変です。現実の課題を数式で正確に表現することは、理論的にはシンプルに見えても、実務では思い通りにいかないことが多いものと思います。また、モデル化する段階で、対象となるビジネスやプロセスの複雑さを反映できなかったり、データの不足や不確実性に悩まされることもあります。

さらに、解いたはずの最適化問題が現実に適用できるかどうかも大きな壁になります。最適解が計算上は出たとしても、実務ではその解が実現不可能であったり、コスト面で非現実的だったりします。また、アルゴリズムの性能にも限界があり、大規模なデータやリアルタイムでの最適化を求められる場合、計算負荷が高すぎて実用に耐えないことも珍しくありません。

そして、最適化の結果が意図しない方向に進んでしまうこともあります。例えば、ある部分を最適化すると他の部分にしわ寄せが生じ、全体としてかえってパフォーマンスが悪化する、といったジレンマもよく経験するところです。このように、理論的には完璧な解があっても、現実の複雑さに対応するにはさらなる工夫が必要であり、最適化の実務では試行錯誤がつきものです。

こうした課題に直面しながらも、適切なモデル化と現実とのすり合わせを行うことが、最適化プロジェクト成功のカギになります。
そのような中、拙著『最適化の分析のポイント 全ノウハウ』は、最適化技術に関する実践的なノウハウを網羅した一冊です。
最適化問題を効果的に解くための数式表現技術、モデル化の際のテクニック、そして実際の最適化事例を豊富に紹介しています。

「最適化問題って何?」「どのように問題を数式で表現すればいいのか?」という疑問を抱えている方にとって、まさに必読の内容です。
具体的には、絶対値やバイナリ変数を使った数式表現の方法、問題を解決するための検討フロー、さらに最適化のテクニックを凝縮しています。

また、実際の最適化事例を通じて、理論がどのように現実の問題解決に役立つのかが理解できるよう工夫してあります。初心者から経験者まで、最適化技術の習得に役立つ一冊です。

最適化の世界を深く理解し、実務に応用したい方にとって、本書は確実に大きな武器となるはずです。


本書は,最適化技術に関するノウハウをまとめたものである.なお,主に問題を数式で表現する際の技術,実際に問題を解く際の留意点および最適化技術の適用事例についてまとめた.

本書の構成は以下の通りです。
  • 1 はじめに
  • 2 最適化問題とは
  • 3 最適化問題における有効な表現方法
  • 4 モデル化の際に有効なテクニック
  • 5 最適化事例集

「2 最適化問題」では,まず最適化問題とはどのような問題かおよびどのような手法で最適化問題を解くかについて解説します。
「3 最適化問題における有効な表現方法」では,まず絶対値等を最適化問題に組み込みたい際に有効な数式での表現方法について説明する.さらに,バイナリ変数と呼ばれる変数を導入することにより状態等を表現する方法などについても詳しく解説します。
「4 モデル化の際に有効なテクニック」では,最適化問題を解くことにより問題解決を図る際の検討フローや,意図した解が出ない場合等に有効なテクニックについて解説します。
「5 最適化事例集」では,典型的な最適化問題を取り上げ,数式表現等を詳細に解説します。

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Product Details

  • ASIN ‏ : ‎ B0DH34ZTGY
  • Publisher ‏ : ‎ エグゼクティブ出版
  • Accessibility ‏ : ‎ Learn more
  • Publication date ‏ : ‎ September 15, 2024
  • Language ‏ : ‎ Japanese
  • File size ‏ : ‎ 6.3 MB
  • Text-to-Speech ‏ : ‎ Enabled
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 183 pages
  • Page Flip ‏ : ‎ Enabled
  • Amazon Bestseller: #591,277 in Kindle Store (See Top 100 in Kindle Store)
  • Customer Reviews:
    3.0 out of 5 stars (1)

About the author

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坂本松昭
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He serves as Representative Director of OGZA Inc. and also teaches at a university, bringing together the perspectives of a practitioner and an educator. His areas of expertise include the transformation of large enterprises—particularly in the energy and infrastructure sectors—through data science, ROIC-driven management, and the practical implementation of AI and digital transformation (DX). Rather than stopping at high-level strategy, he is known for connecting the entire transformation process end to end—from investment decisions and management decision-making to organizational design and talent development—and turning transformation into operating models that truly work on the ground.

Drawing on deep expertise developed in the environmental and energy fields, as well as hands-on experience gained through real-world management reform, he helps companies pursue both higher corporate value and sustainable growth. He is particularly well regarded for helping organizations move beyond treating AI and DX as mere tool deployment, instead linking them to data-driven management, ROIC-based capital allocation, and faster, more accurate decision-making. Across a wide range of industries—including manufacturing, IT, and energy—he has supported multidimensional transformation initiatives spanning revenue improvement, operational reform, sales effectiveness, organizational development, and HR system redesign.

To date, he has supported more than 200 companies and contributed to the development of over 1,500 professionals. His approach—bridging strategy and execution, management and the front lines, people and technology—has earned him strong recognition. In an era of rapid change, he believes that competitive advantage is determined less by strategy alone than by the quality and speed of decision-making, and by an organization’s ability to keep learning. Guided by this philosophy, he applies practical frameworks such as the OODA loop to embed reproducible transformation mechanisms within companies.

He is also committed to translating insights from data science and optimization into language that can be readily applied in management and business settings. By making complex analysis accessible and bridging data-driven management with frontline operations, he offers a vision of the leadership and organizational capabilities required in the age of AI. In his lectures and training programs, he emphasizes both practical ideas that can be applied immediately and perspectives that build long-term competitiveness, earning the trust of both corporate clients and participants.

His books include Building Strong Organizations, Transforming the Workplace, Marketing OODA, A Foundational Course in Data Science, A Foundational Course in Management, Successful Power Asset Investment: Essential Reading for Energy Businesses, and The Handbook for Success in the Hydrogen Business, among others. Working across the intersecting domains of management, organizations, talent, data science, and energy, he continues to share ideas and practices for transformation in an era defined by the co-evolution of people and technology.

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