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      KCI등재 SCOPUS

      Humanitarian Relief Logistics with Time Restriction: Thai Flooding Case Study

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      https://www.riss.kr/link?id=A100259711

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      다국어 초록 (Multilingual Abstract)

      Shortages and delays in a humanitarian logistics system can contribute to the pain and suffering of survivors or other affected people. Humanitarian logistics budgets should be sufficient to prevent such shortages or delays. Unlike commercial supply chain systems, the budgets for relief supply chain systems should be able to satisfy demand. This study describes a comprehensive model in an effort to satisfy the total relief demand by minimizing logistics operations costs. We herein propose a strategic model which determines the locations of distribution centers and the total inventory to be stocked for each distribution center where a flood or other catastrophe may occur. The proposed model is formulated and solved as a mixed-integer programming problem that integrates facility location and inventory decisions by considering capacity constraints and time restrictions in order to minimize the total cost of relief operations. The proposed model is then applied to a real flood case involving 47 disaster areas and 13 distribution centers in Thailand. Finally, we discuss the sensitivity analysis of the model and the managerial implications of this research.
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      Shortages and delays in a humanitarian logistics system can contribute to the pain and suffering of survivors or other affected people. Humanitarian logistics budgets should be sufficient to prevent such shortages or delays. Unlike commercial supply c...

      Shortages and delays in a humanitarian logistics system can contribute to the pain and suffering of survivors or other affected people. Humanitarian logistics budgets should be sufficient to prevent such shortages or delays. Unlike commercial supply chain systems, the budgets for relief supply chain systems should be able to satisfy demand. This study describes a comprehensive model in an effort to satisfy the total relief demand by minimizing logistics operations costs. We herein propose a strategic model which determines the locations of distribution centers and the total inventory to be stocked for each distribution center where a flood or other catastrophe may occur. The proposed model is formulated and solved as a mixed-integer programming problem that integrates facility location and inventory decisions by considering capacity constraints and time restrictions in order to minimize the total cost of relief operations. The proposed model is then applied to a real flood case involving 47 disaster areas and 13 distribution centers in Thailand. Finally, we discuss the sensitivity analysis of the model and the managerial implications of this research.

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      목차 (Table of Contents)

      • ABSTRACT
      • 1. INTRODUCTION
      • 2. STATEMENT OF THE PROBLEM
      • 3. PROBLEM ASSUMPTIONS
      • 4. MODEL FORMULATION
      • ABSTRACT
      • 1. INTRODUCTION
      • 2. STATEMENT OF THE PROBLEM
      • 3. PROBLEM ASSUMPTIONS
      • 4. MODEL FORMULATION
      • 5. NUMERICAL EXPERIMENTS
      • 6. CONCLUSIONS
      • REFERENCES
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      참고문헌 (Reference)

      1 Van Westen, C. J, "Treatise on Geomorphology" Academic Press 259-298, 2013

      2 The World Bank, "Thai Flood 2011: Rapid Assessment for Resilient Recovery and Reconstruction Planning" World Bank 2012

      3 Department of Disaster Prevention and Mitigation, "Statistics of floods in Thailand from 1989-2011"

      4 Kongsomsaksakul, S, "Shelter location-allocation model for flood evacuation planning" 6 (6): 4237-4252, 2005

      5 Kovacs, G, "Relief Supply Chain Management for Disasters: Humanitarian Aid and Emergency Logistics" Information Science Reference 2012

      6 Rawls, C. G, "Pre-positioning of emergency supplies for disaster response" 44 (44): 521-534, 2010

      7 Dilley, M, "Natural Disaster Hotspots:A Global Risk Analysis" World Bank 2005

      8 Tzeng, G. H, "Multi-objective optimal planning for designing relief delivery systems" 43 (43): 673-686, 2007

      9 Afshar, A, "Modeling integrated supply chain logistics in real-time large-scale disaster relief operations" 46 (46): 327-338, 2012

      10 Nikbakhsh, E, "Logistics Operations and Management: Concepts and Models" Elsevier 291-332, 2011

      1 Van Westen, C. J, "Treatise on Geomorphology" Academic Press 259-298, 2013

      2 The World Bank, "Thai Flood 2011: Rapid Assessment for Resilient Recovery and Reconstruction Planning" World Bank 2012

      3 Department of Disaster Prevention and Mitigation, "Statistics of floods in Thailand from 1989-2011"

      4 Kongsomsaksakul, S, "Shelter location-allocation model for flood evacuation planning" 6 (6): 4237-4252, 2005

      5 Kovacs, G, "Relief Supply Chain Management for Disasters: Humanitarian Aid and Emergency Logistics" Information Science Reference 2012

      6 Rawls, C. G, "Pre-positioning of emergency supplies for disaster response" 44 (44): 521-534, 2010

      7 Dilley, M, "Natural Disaster Hotspots:A Global Risk Analysis" World Bank 2005

      8 Tzeng, G. H, "Multi-objective optimal planning for designing relief delivery systems" 43 (43): 673-686, 2007

      9 Afshar, A, "Modeling integrated supply chain logistics in real-time large-scale disaster relief operations" 46 (46): 327-338, 2012

      10 Nikbakhsh, E, "Logistics Operations and Management: Concepts and Models" Elsevier 291-332, 2011

      11 Ukkusuri, S. V, "Location routing approach for the humanitarian prepositioning problem" 2089 (2089): 18-25, 2008

      12 Van Wassenhove, L. N, "Humanitarian aid logistics : supply chain management in high gear" 57 (57): 475-489, 2006

      13 Irohara, T, "From preparedness to recovery: a tri-level programming model for disaster relief planning" 213-228, 2013

      14 Ganeshan, S, "Forecasting the numbers of people affected annually by natural disasters up to 2015" Oxfam 2009

      15 Balcik, B, "Facility location in humanitarian relief" 11 (11): 101-121, 2008

      16 McCall, V. M, "Designing and pre-positioning humanitarian assistance pack-up kits (HA PUKs) to support pacific fleet emergency relief operations" Naval Postgraduate School 2006

      17 Sheu, J. B, "An emergency logistics distribution approach for quick response to urgent relief demand in disasters" 43 (43): 687-709, 2007

      18 Günneç, D, "A two-stage multicriteria stochastic programming model for location of emergency response and distribution centers" 1-6, 2007

      19 Ji, G, "A study on emergency supply chain and risk based on urgent relief service in disasters" 5 : 313-325, 2012

      20 Yi, W, "A dynamic logistics coordination model for evacuation and support in disaster response activities" 179 (179): 1177-1193, 2007

      21 Wapee Manopiniwes, "A Review of Relief Supply Chain Optimization" 대한산업공학회 13 (13): 1-14, 2014

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2015-08-03 학술지명변경 한글명 : Industrial Engineeering & Management Systems -> Industrial Engineering & Management Systems
      외국어명 : Industrial Engineeering & Management Systems An International Journal -> Industrial Engineering & Management Systems An International Journal
      KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2009-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2007-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.13 0.13 0.1
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.1 0.09 0.316 0.05
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