The vehicle routing problem with capacitated cross-docking

Zachariadis, Emmanouil E.; Nikolopoulou, Amalia; Manousakis, Eleftherios G.; Repoussis, Panagiotis P.; Tarantilis, Christos D.

doi:10.1016/j.eswa.2022.116620

Cited by 11 publications

(1 citation statement)

References 29 publications

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“…Table 1 summarizes the characteristics of the relevant discussed papers. Finally, we mention that despite outbound loading optimization received little attention in warehousing literature, this topic is well-known in other contexts, such as the cross docking platforms (Zachariadis et al 2022) or rail transport (Ruf et al 2022), highlighting how much relevant is this process for the downstream nodes in the SC.…”

Section: Outbound Loading Problemsmentioning

confidence: 99%

Balancing picking and outbound loading efficiency in an SBS/RS through a digital twin

Guerrazzi,

Mininno,

Aloini

2024

Flex Serv Manuf J

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Warehouses are essential elements of almost every Supply Chain and have a significant impact on its performance. However, existing research on warehouse operations mainly aims at maximizing operational performance, neglecting their effect on downstream nodes. In this paper, we propose the use of a digital twin (DT) to support warehouse managers to identify the picking policy that most effectively balances picking and outbound loading efficiencies in an SBS/RS, with the aim of providing both a cost-effective and timely delivery to the subsequent nodes. The problem is set referring to a real case study of the logistics hub of a tire distributor company. The DT was built and validated based on real data from plant sensors and information systems. Afterwards, the DT was used to define three picking strategies that differently impact on both picking and outbound loading efficiency. The DT was then employed on a daily basis and fed with real orders, machine and rack availability to replicate stocking and picking operations and to directly communicate the recommended picking strategy to the warehouse PLC. Several demand scenarios have been considered to extend managerial inferences. Results show that the DT is a valuable tool to support the balancing of picking and outbound loading performance.

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Section: Outbound Loading Problemsmentioning

confidence: 99%