The dynamic wireless charging system (DWCS) facilitates the electric vehicle (EV) trip on highways because it can charge EV while in motion. The DWCS comprises recharging segments occupied by an induction cable and inverters supplying the induction cables. We consider a highway road with recharging segments and a fleet of vehicles with heterogeneous batteries. Each vehicle type may enter the segment through the entry gate at the segment’s start to load, and they cannot exit the segment until the segment exit gate. Vehicles have to pay a unit cost for using the charging segment, so the full use of the segments is expensive for vehicles. Our objective in this work is to create new entry and exit gates on each charging segment to minimize the total cost for using the charging segment by vehicles. Due to the heterogeneity of the batteries, the segment’s use differs from one vehicle to another, so the opening of new segment gates for each type is expensive; for this, we seek to minimize the gates number of each recharging segment. We propose to model the problem as a mathematical problem and solve it by CPLEX optimizer for limited instances.
This article studies an important and special variant of VRP. The Dynamic Vehicle Routing Problem with Simultaneous Delivery and Pickup, Overtime and Inventory Restriction (DVRPSDP-OT-IR) and propose an improved Golden Ball Algorithm (GBA) based on soccer concepts to solve the problem. A literature review of the GBA is given. A mathematical model has been proposed for the problem and validated by Cplex solver. A detailed description of the steps of GBA is presented.
There is rising adoption of traceability solutions in blockchain-based applications. Blockchain appropriately meets supply chain using traceable distributed records. We integrate a bibliometric study (869 articles) and a lexicometric study (135 articles) analyzing knowledge paths and communities based on previous research to guide its development. The bibliometrics illustrates the holistic evolution with co-citation analysis: influential researchers and countries, discipline composition, knowledge development trends, and emerging frontiers. The lexicometric identifies the concept structure of epistemic communities with a textual approach. From the knowledge graphs, we found that blockchain traceability research began in 2016 and emerged a surge from 2019. There are three chronological phases: 2016-2017 technological embryonic stage, 2018-2019 emerging establishment stage, 2020-Now ecological optimization stage. Blockchain traceability interconnects with IoT for intelligent tracking. It mainly applies in food and agriculture supply chain nowadays, waiting for further large-scale application in automobile manufacture and carbon emission. Blockchain and supply chain mutually transform as sensemaking theory. Traceability solutions have been popularized in business scenarios.
Recognition of the skills that students acquire during their training is essential for them to access to more complex activities or to pursue further studies. An integrative student-centric framework is proposed in order to fade the boundaries between students, educational institutions and potential employers by making block-chain certification issuers and HR software interoperable. The contributions and demands of stakeholders taking part in the process are investigated. Key drivers of performance are identified for Distributed Ledger Technology (DLT) aiming to improve the chances for students in higher education system entering the labor market.
In this paper data of a European strategic alliance (KAAT project) is used to demonstrate the application of the proposed partner selection framework. This paper is aimed at (1) illustrating the approach for measuring similarity, complementarity, and coverage of knowledge, (2) illustrating the approach for evaluating the partners’ history of collaboration, (3) demonstrating the proposed framework using the actual data, and (4) investigating the position of this framework in the forthcoming research as well as in the selection of partners in complex projects in practice.
