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請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/18350
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dc.contributor.authorMing-Miin Yuen_US
dc.contributor.authorLi-Hsueh Chenen_US
dc.date.accessioned2021-11-11T08:41:55Z-
dc.date.available2021-11-11T08:41:55Z-
dc.date.issued2017-05-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/18350-
dc.description.abstractThe evaluation of operational performance has become a critical indicator for the management of transport services. Data envelopment analysis (DEA) is considered to be one of the best approaches for organizing and analysing data. In order to reflect the actual situation that the operation of a transport organization involves multiple processes and activities, and is not independent between periods, various DEA models have been developed to assess the operational performance of transport organizations. This chapter is dedicated to illustrating a network and dynamic structure with undesirable outputs by use of dynamic network DEA (DNDEA) and multi-activity DNDEA models. This chapter also provides an application to bus transit firms to investigate the applicability of a multiprocess, multiperiod and multi-activity framework.en_US
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.titleDEA in Resource Allocation, Chapter 19, Part Ⅱ: Advances in DEA Theory and Applications: With Extensions to Forecasting Modelsen_US
dc.typebook chapteren_US
dc.identifier.doi10.1002/9781118946688.ch19-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypebook chapter-
crisitem.author.deptCollege of Maritime Science and Management-
crisitem.author.deptDepartment of Transportation Science-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.orcid0000-0002-9066-2088-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Maritime Science and Management-
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