BEGIN:VCALENDAR PRODID:-//eluceo/ical//2.0/EN VERSION:2.0 CALSCALE:GREGORIAN BEGIN:VEVENT UID:b4ce62e05388dd7591cf36790199d37d DTSTAMP:20240501T203724Z SUMMARY:Qi Lin\, Beihang University DESCRIPTION: \n\nQi Lin is a 3rd year PhD student from the School of Econom ics and\nManagement\, Beihang University and a visiting scholar in the Dec ision\nSciences and MIS department since October 2018. Her research areas are\nHealthcare Management and Healthcare Information Exchange.\n\nTitle: Cold Chain Transportation Decision in the Vaccine Supply Chain\n\nAbstract : Vaccines are a special kind of drug\, the quality of which is\nhighly se nsitive to temperature and directly related to public health.\nRecently\, numerous vaccine accidents have occurred in the world\,\nespecially in dev eloping countries\, due to vaccines being exposed to\ninappropriate temper atures during their transportation. This paper\nconsiders the vaccine supp ly chain including a distributor and a\nretailer (hospital or clinic). The distributor decides whether to use\na cold chain to transport the vaccine s or not. The retailer performs\nan inspection when receiving the vaccines . First\, a basic model is\ndeveloped to study the conditions under which the distributor will\ntransport the vaccines via a cold chain or non-cold chain. Then\, two\ncommon inspection policies (a loose one and a strict on e) are\nintroduced into the basic model to explore the impact of the\nreta iler’s inspection at the end of transportation on the\ndistributor’s o riginal decision. We show that the retailer’s\ninspection influences the distributor to choose the cold chain option.\nInterestingly\, we prove th at the strict inspection policy is less\neffective than the loose one in t his effect. We suggest that the\nretailer’s role in improving the distri butor’s non-cold chain\ntransportation behavior should be fully used.\n DTSTART:20190426T173000Z DTEND:20190426T190000Z LOCATION:Gerri C. LeBow Hall\, 3220 Market Street\, 409\, Philadelphia\, PA 19104 END:VEVENT END:VCALENDAR