How Digital Twin Concept Supports Internal Transport Systems?—Literature Review

Abstract

In the Industry 4.0 era, the Digital Twin has become one of the most promising enabling technologies supporting material flow. Although the literature on the Digital Twin is becoming relatively well explored, including a certain number of review papers, the context of the Digital Twins application in internal transport systems has not been investigated so far. This paper thoroughly reviews the research on the Digital Twins applied in internal transport systems concerning major research trends within this research area and identification of future research directions. It provides clarification of various definitions related to the Digital Twin concept, including misconceptions such as a digital shadow, a digital model, and a digital mirror. Additionally, the relationships between terms such as material handling, material flow, and intralogistics in the context of internal transport systems coupled with the Digital Twin are explained. This paper’s contribution to the current state of the art of the Digital Twins is three-fold: (1) recognition of the most influential and high-impact journals, papers, and researchers; (2) identification of the major research trends related to the Digital Twins applications in internal transport systems, and (3) presentation of future research agendas in investigating Digital Twins applied for internal transport systems.

Improving the tactical planning of solid waste collection with prescriptive analytics: a case study

“…Discrete event simulation is a classical and effective tool for internal transport/material handling modelling and analysis (Banks et al, 2015). Moreover, the recent introduction of the digital twin concept as a tool for logistics operations analysis (Agalianos et al, 2020;Santos et al, 2020) give DES a new application framework, individually or in conjunction with optimization models and machine learning techniques (Kosacka-Olejnik et al, 2021). Particularly, DES has been used in the past as a tool for fleet sizing in waste collection operations (Larson et al, 1991).…”

A Two-Stage Decision-Making Method Based on WebGIS for Bulk Material Transportation of Hydropower Construction

“…In addition, the web crawler technology based on the public WebGIS platform should be highlighted because it provides great convenience for data collection and calculation and makes it possible to realize large-scale transportation planning [44]. The WebGIS is the combined outcome of the web technology and the GIS technology, making it possible to conduct the integration, query, analysis and release of the GIS spatial data on the internet [45].…”

Time Optimization of Unmanned Aerial Vehicles Using an Augmented Path

“…It supports technologies like material flow. This system increases the efficiency of the production system [23]. A cyber-attack risk analysis that integrates Kaplan's and Garrick's approach and fuzzy theory is proposed, focusing on some of the main targets (database, internal networks, machinery) to prevent cyber attacks.…”

“…A disadvantage of this algorithm is although it works efficiently, all the axes are fixed, i.e., two axes are fixed for movement while the third is for barrier dodging and so this fixation might be difficult to implement in this AI as some barriers cannot be prevented by just one axis. In this paper, we did not include the internal intelligence transport system, which may be carried out later on [23]. Additionally, the cyber security in our system should be implemented, such that there would not be any possibility for cyber-attacks, which may lead to many problems [24].…”