Multicriteria location analysis
著者
書誌事項
Multicriteria location analysis
(International series in operations research & management science, v. 338)
Springer, c2023
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
This book applies Multicriteria Decision Making (MCDM) tools and techniques to problems in location analysis. It begins with a generic model for MCDM and subsequently develops specific versions of the technique for particular location problems. Throughout the book, MCDM is understood to encompass all tools and techniques that choose or rank existing or feasible solutions, including discrete multi-attribute decision making (MADM) problems, which typically include an attribute table that specifies the consequences of each decision with regard to the given criteria, as well as multi-objective linear problems (MOLPs), which incorporate all objectives in a single optimization problem.
The book is organized as follows: the first four chapters introduce readers to the basic tools and techniques used in single-objective optimization, multicriteria decision making, location analysis, and other tools, such as statistical regression and geographical information systems. This is followed by ten chapters on model applications, each of which introduces readers to a specific location problem and applies one technique to solve it. The book is then wrapped up in a closing chapter that looks at the location process from a practitioner's point of view.
This book is intended as a textbook for upper-undergraduate and master-level courses on location analysis. It will also benefit decision-makers who actually need to locate facilities.
目次
Preface.- Introduction.- Chapter 1: Single-objective optimization.- Chapter 2: Multicriteria decision making.- Chapter 3: Location models.- Chapter 4: Mathematical and geospatial tools.- Chapter 5: Locating a landfill with vector optimization.- Chapter 6: Using goal programming to locate a new fire hall.- Chapter 7: Locating a hospital with a zoom approach.- "Chapter 8: Locating a private school with a generic method.- Chapter 9: Locating jails with a target value approach.- "Chapter 10: A rejection approach to locate a new city park.- Chapter 11: Locating a new fulfillment center with the domain criterion.- Chapter 12: Locating fast food restaurants with the analytic hierarchy process.- Chapter 13: Locating billboards with the Jefferson-d'Hondt method.- Chapter 14: Locating an airport by voting.- Chapter 15: How location works in practice: a perspective from the United States.
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