{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T07:01:08Z","timestamp":1760425268883,"version":"3.41.2"},"reference-count":39,"publisher":"Emerald","issue":"9","license":[{"start":{"date-parts":[[2014,10,7]],"date-time":"2014-10-07T00:00:00Z","timestamp":1412640000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,10,7]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 The purpose of this paper is to propose a model that determines the strategy of owning and renting trucks in combinations with internal truck scheduling and storage allocation problems in container terminals. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 To deal with this complicated problem, a two-level heuristic approach is developed, in which the integration problem is decomposed into two levels. The first level determines the daily operations of the internal trucks, while the second level determines the truck employment strategy based on the calculation in the first level. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 The results show that: even if the using cost of owned yard trucks is much lower than the cost of rented yard tucks, terminal companies should not purchase too many trucks when the purchasing price is high. In addition, the empirical truck employment strategies, which are purchasing all the trucks or renting all the trucks, are not cost-effective when compared with the proposed yard truck employment strategy. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 The paper provides a novel insight for the internal truck employment strategy in container terminals which is the determination of the strategy of employing renting and outsourcing yard trucks to meet operational daily transportation requirements and minimize the long-term cost of employing yard trucks. A mathematical model is proposed to deal with the practical problem. Also, this study presents better solution than empirical method for employing different types of yard truck. Thus, in order to obtain more benefit, terminal companies should employ the proposed yard truck employment strategy.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/imds-07-2014-0215","type":"journal-article","created":{"date-parts":[[2014,10,20]],"date-time":"2014-10-20T06:40:28Z","timestamp":1413787228000},"page":"1378-1395","source":"Crossref","is-referenced-by-count":12,"title":["A decision support method for internal truck employment"],"prefix":"10.1108","volume":"114","author":[{"given":"Z.X.","family":"Wang","sequence":"first","affiliation":[]},{"given":"Felix","family":"T.S. Chan","sequence":"additional","affiliation":[]},{"given":"S.H.","family":"Chung","sequence":"additional","affiliation":[]},{"given":"Ben","family":"Niu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020122804163552600_b1","doi-asserted-by":"crossref","unstructured":"Angeloudis, P.\n                and \n                  Bell, M.G.H.\n                (2010), \u201cAn uncertainty-aware AGV assignment algorithm for automated container terminals\u201d, Transportation Research Part E, Vol. 46 No. 3, pp. 354-366.","DOI":"10.1016\/j.tre.2009.09.001"},{"key":"key2020122804163552600_b2","doi-asserted-by":"crossref","unstructured":"Bazzazi, M.\n               , \n                  Safaei, N.\n                and \n                  Javadian, N.\n                (2009), \u201cA genetic algorithm to solve the storage space allocation problem in a container terminal\u201d, Computers and Industrial Engineering, Vol. 56 No. 1, pp. 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