2015
DOI: 10.3934/jimo.2016.12.431
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A mixed integer programming model for solving real-time truck-to-door assignment and scheduling problem at cross docking warehouse

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Cited by 4 publications
(5 citation statements)
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“…In another study by [23], tactical and strategical decisions are studied to improve the value of the supply chain. Mixed-integer programming-based studies have been done to reduce the time of inbound logistics by using the proper assignment of trucks [24]. A two-stage routing problem is converted into a single-stage counterpart and calculation is done for the value of transshipment [25].…”
Section: Literature Backgroundmentioning
confidence: 99%
“…In another study by [23], tactical and strategical decisions are studied to improve the value of the supply chain. Mixed-integer programming-based studies have been done to reduce the time of inbound logistics by using the proper assignment of trucks [24]. A two-stage routing problem is converted into a single-stage counterpart and calculation is done for the value of transshipment [25].…”
Section: Literature Backgroundmentioning
confidence: 99%
“…The group of authors dealt with the design of CD terminals and the definition of models which may improve the overall efficiency of logistics and distribution networks [13]. Fatthi et al [14] studied the rationalization of CD through the allocation of trucks to the loading docks. Having dealt with vehicle scheduling in CD terminals, Arkat et al [15] proposed a mathematical model for the scheduling of inbound and outbound vehicles in CD terminals with multiple loading decks.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Proper coordination of inbound and outbound activities can facilitate the smooth operation inside of the cross-dock centres. Fatthi et al (2016) presented a study about the scheduling and assignment of trucks in an inbound phase to minimise the completion time on the inbound side. This model was based on real-time information with the number of receiving trucks, the content of trucks, arrival time of trucks and unloading time of trucks were dynamic.…”
Section: Thematic Findings: Uncertainty Components In Cross-docking Centres Operationsmentioning
confidence: 99%
“…In the literature, some studies considered limited resources. However, the assumptions used in developing the model are unrealistic and cannot be used for practical solutions (Amini and Tavakkoli-Moghaddam, 2016; Fatthi et al , 2016; Ladier, 2014; Li et al , 2012; Shi et al , 2013; Soanpet, 2012; Zouhaier and Ben Said, 2017a, b). If temporary storage has unlimited capacity, the impact of resources limitation is not visible as all the extra products have to be moved to the temporary storage.…”
Section: Conclusion and Future Research Directionsmentioning
confidence: 99%
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