LEADER 04347nam 22006735 450 001 9910367251203321 005 20200706155104.0 010 $a981-13-9353-2 024 7 $a10.1007/978-981-13-9353-2 035 $a(CKB)4100000009757386 035 $a(MiAaPQ)EBC5916659 035 $a(DE-He213)978-981-13-9353-2 035 $a(PPN)253227658 035 $a(EXLCZ)994100000009757386 100 $a20191003d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEpidemic-logistics Modeling: A New Perspective on Operations Research /$fby Ming Liu, Jie Cao, Jing Liang, MingJun Chen 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (xvi, 287 pages) $cillustrations 311 $a981-13-9352-4 320 $aIncludes bibliographical references. 327 $aChapter 1. Basic concept of epidemic-logistics -- Chapter 2. Epidemic dynamics modeling and analysis -- Chapter 3. Mixed distribution mode for emergency resources in anti-bioterrorism system -- Chapter 4. Epidemic logistics with demand information updating Model I: Medical resource is enough -- Chapter 5. Epidemic logistics with demand information updating Model II: Medical resource is limited -- Chapter 6. Integrated optimization model for two-level epidemic-logistics network -- Chapter 7. Integrated optimization model for three-level epidemic-logistics network -- Chapter 8. A novel FPEA model for medical resources allocation in an epidemic control -- Chapter 9. Integrated planning for public health emergencies: A modified model for controlling H1N1 pandemic -- Chapter 10. Logistics planning for hospital pharmacy trusteeship under a hybrid of uncertainties -- Chapter 11. Medical resources order and shipment in community health service centers -- Chapter 12. Three short time-space network models for medicine management -- Chapter 13. Epidemic-logistics network considering time windows and service level. 330 $aThis book is the first work to conduct the emergency logistics optimization problem under the epidemic environment (whether natural or man-made), which provides a new perspective for the application of optimization theory. In this book, the research methods involve epidemic dynamics, scenario-based emergency decision-making method, big data which combines the traditional and emerging technologies. The authors take epidemic outbreak as the research object and deeply integrate the epidemic spread model with the optimization model of emergency resource scheduling, which opens up a novel application area of operations research. . 606 $aOperations research 606 $aDecision making 606 $aIndustrial management?Environmental aspects 606 $aBusiness logistics 606 $aEpidemiology 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aCorporate Environmental Management$3https://scigraph.springernature.com/ontologies/product-market-codes/528000 606 $aLogistics$3https://scigraph.springernature.com/ontologies/product-market-codes/519020 606 $aEpidemiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H63000 615 0$aOperations research. 615 0$aDecision making. 615 0$aIndustrial management?Environmental aspects. 615 0$aBusiness logistics. 615 0$aEpidemiology. 615 14$aOperations Research/Decision Theory. 615 24$aCorporate Environmental Management. 615 24$aLogistics. 615 24$aEpidemiology. 676 $a614.4 686 $a28.24.08.32$2EP-CLASS 700 $aLiu$b Ming$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063141 702 $aCao$b Jie$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLiang$b Jing$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChen$b MingJun$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910367251203321 996 $aEpidemic-logistics Modeling: A New Perspective on Operations Research$92530709 997 $aUNINA