Possible Impacts of C-ITS on Supply-Chain Logistics System

Marotta, Alberto; Studer, Luca; Marchionni, Giovanna; Ponti, Marco; Gandini, Paolo; Agriesti, Serio; Arena, Marika

doi:10.1016/j.trpro.2018.09.036

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…The SCM integrates all infrastructure, resources, processes and events to create value for every entity (Marotta et al, 2018). SCM is one of the applied tools which is used by organizations to enhance business performance (Attia and Essam Eldin, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

A new model for investigating the impact of urban knowledge, urban intelligent transportation systems and IT infrastructures on the success of SCM systems in the distributed organizations

Jiang

Tian

Malayeri³

et al. 2020

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Purpose A fundamental concept of the smart city is to get the right information at the right place to make city-related decisions easier and quicker. The main goal of supply chain management (SCM) systems is to enhance the supply chain process for delivering the identified products to customers correctly in distributed organizations. In addition, new IT infrastructure such as cloud-based systems and internet of things (IoT) have changed many organizations and firms. Hence, this study aims to assess the factors that contribute to the success of SCM systems. Design/methodology/approach In this paper, the usage of urban knowledge, urban intelligent transportation systems and IT infrastructure was considered as a key factor for the success of SCM systems. For assessing the features of the model, a comprehensive questionnaire was designed. The survey questionnaires were sent to critical informers who are practical heads associated with SCM and urbanism. Of these, 315 usable responses were received, resulting in a response rate of 82.03%. The data were examined using Smart-PLS version 3.2 and IBM SPSS version 25. Findings The obtained results showed the high strength of the proposed model. This study found that the impact of urban ITS (safety, accessibility, information management and flexibility) is important to the success of supply chain management systems. Another important finding is that the cloud-based system (cloud security, resource virtualization, on-demand self-service and scalability) has a very important role in the success of supply chain management systems. The finding showed that the effect of IoT service variable (commercialization, mobility features, infrastructure capabilities and security and privacy) on the success of supply chain management systems is significant and positive. The findings also showed that urban knowledge (usage skills, awareness, experience and knowledge sharing) is viewed as a significant factor in the success of supply chain management systems. Research limitations/implications The inductive nature of research methodology has introduced limitations on the generalizability of results. Therefore, it is recommended to examine the validity of this research model in other supply chains. Practical implications The statistical results support the crucial role of urban knowledge, urban intelligent transportation systems, IoT services and cloud-based systems. Therefore, aspects relating to these factors must be the focus of attention of any distributed organization in their endeavor to develop supply chain management systems. Implementing cloud based IoT through accurate and timely availability of information, can predict forecasting and planning processes, resources, logistics and support, service management and spare parts and many sub-processes in the supply chain. These technologies allow organizations to invest in manufacturing and operating processes rather than paying for the software section, which will generate more cash flow. Originality/value One of the most crucial and fundamental parts of an organization’s management is the supply chain management. The department is responsible for coordinating all units from the initial stages, such as supplying materials to the final stages, such as delivery and after-sales service. Comprehensive and credible information platforms are essential for managing a supply chain. Therefore, it is important to use integrated information systems such as IoT, cloud computing, intelligent transportation systems and more in this part of the organization management. Covering this information in a timely and accurate manner will facilitate the process and make the process more transparent. For this purpose, a model is needed to determine the relationship between technologies and supply chain management, which this study has provided a comprehensive model.

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Section: Literature Reviewmentioning

confidence: 99%

A new model for investigating the impact of urban knowledge, urban intelligent transportation systems and IT infrastructures on the success of SCM systems in the distributed organizations

Jiang

Tian

Malayeri³

et al. 2020

View full text Add to dashboard Cite

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“…Moreover, fleet sizing problems are receiving increased logistics attention due to their contribution to costs. Transportation contributes the largest share of logistics costs, and fleet size is an inevitable factor in determining overall transportation costs [10].…”

Section: Fleet Sizing Problems With Heterogeneous Vehiclesmentioning

confidence: 99%

“…Technological advancements in transportation have led to a decline in the compound average growth of transportation costs from a macro-environmental perspective. Despite this, transportation still constitutes the largest share of logistics costs [10].…”

Section: Introductionmentioning

confidence: 99%

A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System

Amjath,

Kerbache,

Smith

2024

Logistics

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Background: This study addresses optimising fleet size in a system with a heterogeneous truck fleet, aiming to minimise transportation costs in interfacility material transfer operations. Methods: The material transfer process is modelled using a closed queueing network (CQN) that considers heterogeneous nodes and customised service times tailored to the unique characteristics of various truck types and their transported materials. The optimisation problem is formulated as a mixed-integer nonlinear programming (MINLP), falling into the NP-Hard, making exact solution computation challenging. A numerical approximation method, a modified sequential quadratic programming (SQP) method coupled with a mean value analysis (MVA) algorithm, is employed to overcome this challenge. Validation is conducted using a discrete event simulation (DES) model. Results: The proposed analytical model tested within a steel manufacturing plant’s material transfer process. The results showed that the analytical model achieved comparable optimisation of the heterogeneous truck fleet size with significantly reduced response times compared to the simulation method. Furthermore, evaluating performance metrics, encompassing response time, utilisation rate, and cycle time, revealed minimal discrepancies between the analytical and the simulation results, approximately ±8%, ±8%, and ±7%, respectively. Conclusions: These findings affirm the presented analytical approach’s robustness in optimising interfacility material transfer operations with heterogeneous truck fleets, demonstrating real-world applications.

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“…All operational activities, such as making raw materials into the leather fibers, conducting new product research, making shipping preparations even to shipping to suppliers are using technologies tracker [7][8][9]. In the process of shipping to these suppliers often face obstacles, including late delivery trucks to the supplier's place so that the supplier is closed because it is outside the operating hours, often the supplier asks the current truck location to the sales person concerned and the sales person contacted via On Call to the truck driver but sometimes it is very difficult to contact, which is usually the reason the battery runs out, there is no signal, etc [10][11][12]. In the other hand, there is lost contact and also miss communication between the sender and the recipient so that the item is not sent [13].…”

Section: Introductionmentioning

confidence: 99%

GPS Tracker Application in Manufacturing Companies Based on Android

Rifqi¹

2019

IJERAT

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GPS technology at this time is commonly used, Because GPS is already a mandatory feature on a Smartphone because it can help in everyday life, such as for example we want to a place that we have never visited and we do not know the route to there, with the GPS we easily go to a place and do not have to worry about getting lost, at this time the GPS can also be used for various needs one of them help the delivery to know the closest distance to the next destination from the current position.By implementing the Haversine Algorithm, it is created on the Android platform using the Kotlin programming language and utilizes the Google Maps API as a Virtual Maps provider. This app connects to the database on the Server and obtains data such as the current position of the car, the delivery destination through the API created and show in the form of JSON FORMAT, thus the user will know the distance of all delivery destinations from the current position so it is expected to make it easier to determine the destination of the next delivery.

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Possible Impacts of C-ITS on Supply-Chain Logistics System

Cited by 3 publications

References 5 publications

A new model for investigating the impact of urban knowledge, urban intelligent transportation systems and IT infrastructures on the success of SCM systems in the distributed organizations

A new model for investigating the impact of urban knowledge, urban intelligent transportation systems and IT infrastructures on the success of SCM systems in the distributed organizations

A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System

GPS Tracker Application in Manufacturing Companies Based on Android

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