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Emerging applications of OR/MS: Emergency response planning and production planning in semiconductor and printing industry

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  1. Tez No: 400749
  2. Yazar: ALİ EKİCİ
  3. Danışmanlar: DR. PINAR KESKİNOCAK
  4. Tez Türü: Doktora
  5. Konular: Endüstri ve Endüstri Mühendisliği, Industrial and Industrial Engineering
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2009
  8. Dil: İngilizce
  9. Üniversite: Georgıa Instıtute Of Technology
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Endüstri ve Sistemler Mühendisliği Ana Bilim Dalı
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: Belirtilmemiş.

Özet

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Özet (Çeviri)

Operations Research and Management Science (OR/MS) techniques have been widely used by decision-makers to address a wide range of problems in public, private and nonpro¯t sectors. Although the usage of operations research techniques has started with military applications during World War II, currently these techniques are used in several contexts such as production planning, logistics management and health care management. In this thesis, we study three emerging applications of OR/MS, namely, (i) dis- ease spread modeling, intervention strategies, and food supply chain management during an in°uenza pandemic, (ii) the practical applications of production plan- ning and scheduling in the commercial lithographic printing industry, and (iii) pack- ing/placement problems in chip design in the semiconductor industry. In the ¯rst part of the thesis, Chapter 2, we study an emergency response planning problem motivated by discussions with the American Red Cross, which has taken on a responsibility to feed people in case of an in°uenza pandemic. During an emergency such as an in°uenza pandemic or a bioterror attack, regular distribution channels of critical products and services including food and water may be disrupted, or some of the infected individuals may not be able to go to grocery stores. We analyze the geographical spread of the disease and develop solution approaches for designing the food distribution supply chain network in case of an in°uenza pandemic. In addition, we investigate the e®ect of voluntary quarantine on the disease spread and food distribution supply chain network. Finally, we analyze the e®ect of in°uenza pandemic on the workforce level.In Chapter 3, we study a real life scheduling/packing problem motivated by the practices in the commercial lithographic printing industry which make up the largest segment of the printing industry. We analyze the problem structure and develop e±- cient algorithms to form cost e®ective production schedules. In addition, we propose a new integer programming formulation, strengthen it by adding cuts and propose several preprocessing steps to solve the problem optimally. In Chapter 4, the last part of the thesis, motivated by the chip design problem in the semiconductor industry, we study a rectangle packing/placement problem. We discuss the hardness of the problem, explore the structural properties, and discuss a special case which is polynomially solvable. Then, we develop an integer programming formulation and propose e±cient algorithms to ¯nd a \good" placement.

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