2021
DOI: 10.3390/joitmc7010059
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Modeling a Logistics Hub Using the Digital Footprint Method—The Implication for Open Innovation Engineering

Abstract: Optimizing the cargo flows through the nodes of a digital transport corridor is a crucial problem; solving it allows to introduce modern management methods in logistics. This study examines the optimization of the technology of a distribution center as the base node of a third-party logistics network operator. Our objective consisted in theoretically substantiating the application of mathematical formalisms to describing the passage of stochastic goods flows of a complex structure through a node of a logistics… Show more

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Cited by 20 publications
(20 citation statements)
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“…In order to leverage the power of digital transformation, organizations must develop adaptability and embrace novel technologies in business processes (Frank et al, 2019;Pramanik et al, 2019). This transformation in digital processes has improved the ability to conduct business meetings virtually, thereby minimizing the expense of business travel and in-person meetings (Shmatko et al, 2021). It also plays a vital role in improving customer service by collecting great amounts of data from various sources and developing a powerful network among different collaborators.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to leverage the power of digital transformation, organizations must develop adaptability and embrace novel technologies in business processes (Frank et al, 2019;Pramanik et al, 2019). This transformation in digital processes has improved the ability to conduct business meetings virtually, thereby minimizing the expense of business travel and in-person meetings (Shmatko et al, 2021). It also plays a vital role in improving customer service by collecting great amounts of data from various sources and developing a powerful network among different collaborators.…”
Section: Methodsmentioning
confidence: 99%
“…Similarly, the supply chain business process is digitally transformed by three technologies, including block chain, machine learning and robotic process automation (Hartley and Sawaya, 2019). In the context of the digital supply chain, Shmatko et al (2021) explained that the optimization of cargo flows by nodes of digital transport corridor is a critical problem. The solution to this problem is the implication of modern management methods in logistics.…”
Section: Methodsmentioning
confidence: 99%
“…Authors attempt to theoretically substantiate the possibility of using the digital data flow for predictive analytics, which in turn requires a developed mathematical model. Since it is precisely the opportunity to formalize the transition processes at the stages of creation of a consumer value chain, it provides a basis for digitalization [4][5][6][7]. The formulated concept of echelons allows one to clearly divide the entire business process into stages between echelons and, at the same time, take into account the influence of the time factor, which is important for assessing the economic performance of a business.…”
Section: Discussionmentioning
confidence: 99%
“…According to principal M. Porter's idea, the researcher could select five primary activities: "Inbound Logistics", "Operations", "Outbound Logistics", "Marketing and Sales" (informing buyers with facilitating their purchase) as well as "Service". The authors developing M. Porter's approach rely on the concept being applied to the conversion of the sales funnel and digital logistics [4][5][6][7]. The researchers consider that a full promotion cycle of any product includes various stages of the consumer value chain.…”
Section: Introductionmentioning
confidence: 99%
“…From the obtained relation (17) at M → ∞ , let us pass to the limit with respect to the sequence { u M (x, t)} and obtain identity (6), which means that u(x, t) (the function u(x, t) ∈ W 1,0 0 (a, Γ T )) is a weak solution (state) of system ( 4) and (5). By virtue of the uniqueness of the solution u(x, t) to problem (4) and ( 5) on the basic fundamentals and estimate (16), the sequence {u M (x, t)} converges weakly to u(x, t).…”
Section: Connection Of Transport Models With Continuously and Discret...mentioning
confidence: 99%