Harnessing the Power of Business Analytics and Artificial Intelligence: A Roadmap to Data-Driven Success

This paper explores the intersection of business analytics (BA) and artificial intelligence (AI) and their profound impact on modern enterprises. The integration of advanced analytics techniques and AI algorithms enables organizations to extract valuable insights from vast amounts of data, optimize decision-making processes, and gain a competitive edge in today's data-driven economy. This paper presents an overview of business analytics and AI, their key concepts, methodologies, and applications. Furthermore, it highlights the benefits, challenges, and ethical considerations associated with leveraging these technologies, providing guidance for successful implementation. By harnessing the power of business analytics and AI, organizations can unlock new opportunities for growth, efficiency, and innovation

A review on the MCUSUM Charts in Detecting the Shifts of the Process with Comparison Study

In this paper, we compare the performance of different MCUSUM methods presented in the literature. First, we briefly introduce MCUSUM methods in multivariate normal distribution. In order to evaluate their performance, we present a comparative study with simulation. Furthermore, we compare the average out-of-control run length of MCUSUM methods under different scenarios of mean shifts, standard deviation shifts, and correlation shifts. The results of the simulation study show that MCUSUM methods have different efficiency in detecting process shifts and based on the required application, the appropriate MCUSUM chart should be selected

Evaluating Blockchain-Based Supply Chain Challenges (A Survey)

Blockchain technology is an emerging technology that will have a significant impact on the business of organizations. One of the influential areas of blockchain technology is the supply chain sector. Supply chain is a network of people and companies that focuses on the production and distribution of a specific product or service from the stage of primary producers to customers and consumers. Most supply and distribution networks face problems with managing all these components together. Many problems of current supply chains can be solved through blockchain technology; Because blockchain offers us very good and pristine ways to record, transfer and share information. The literature in this field is more focused on the technological sector and pays less attention to other sectors. In this research, it is emphasized the need to pay attention to the relationships between supply chain partners and change management when adopting this technology. Also, the current research identifies some of the challenges of adopting blockchain technology with a comprehensive view for the first time and places these challenges in a new classification. These challenges are classified in the groups of organizational challenges, inter-organizational challenges, external/environmental challenges, and technological challenges

Prioritizing policy tools to support development of IoT technologies in Iran

The Internet of Things is a new perspective on the information technology industry that encompasses all technical, social and economic concepts. Identifying priority application areas for this technology is one of the key points for its effective use. Governments also have a variety of tools for policy-making to support the development of this technology. Therefore, knowing which tool has a higher priority for support is a very important point that can not only prevent the loss of resources but also improve the speed of development. In this research, using the opinion of experts and using the TOPSIS method, an attempt has been made to identify the priority of IoT application areas as well as the priority of government support policy tools in these areas. The results of this research have shown that the important areas in this field respectively are Smart cities, Factories and industries, Shipping, Healthcare, Supply chain management, Buildings and houses and finally Agriculture and animal husbandry. Also Government policy tools respectively, in order of priority, are Financial and Investment Incentives, Flexible regulatory, Tax Exemption, Deploying IOT applications in E-government, Standards and Accreditation, Technology Infrastructure, Macro Policies, Application Infrastructure, Cybersecurity Regulation, Privacy Regulation

SURC: Secure Ultra-lightweight RFID Authentication Protocol with Crossover

Radio Frequency Identification (RFID) system is a wireless automatic identification using low-cost RFID tags. Due to the importance of RFID in everyday life, the need to maintain security and Privacy in these systems has been increasing day by day. In this paper, at first, we define a new operation named crossover, by using simple bitwise operations and discuss its security. Then we propose a new secure ultra-lightweight RFID Authentication protocol with crossover operation (SURC). SURC is a low communication and computation cost protocol that can be integrated into the ubiquitous Electronic Product Code (EPCglobal) class1 Generation 2 tag protocol (C1G2). The new protocol resists data integrity and confidentiality, tag location tracking backward traceability, and server and tag impersonation

Presenting a Mathematical Programming Model for Discovering Eulerian Paths (EP) in Certain Specific Graphs

In the modern era, graph theory is considered a useful tool for quantification and simplification of various dynamic components in complex systems. By representing elements as nodes and their connections as edges, graph theory can transform anything from urban planning to computer data into a meaningful mathematical language. Nowadays, numerous practical applications have been designed and developed based on graph theory. Graph theory is a branch of discrete mathematics that aims to describe and solve problems with discrete structures using points and edges. One of the problems concerning graphs is the Eulerian path problem. This research demonstrates that this problem can also be investigated from the perspective of Operations Research (OR). In a more general sense, the Eulerian path problem is a routing problem. This paper presents a pure mathematical model to describe the relationship between the variables of the Eulerian path problem. One of the features of the proposed mathematical model is its solvability by most optimization software. Finally, several numerical examples are provided to enhance the understanding of this model, and they are solved using the proposed approach. All the analyses in this research are conducted using one of the most advanced optimization software, MATLAB. The proposed mathematical model provides a systematic and efficient approach to discover Eulerian paths in specific graphs, contributing to the advancement of graph theory and its practical applications

IoT-based framework for agile supply chain in FMCG industries – a solution for (post-)pandemic times

In recent decades, with the growth of sustainable development, supply chain agility has become very important as a strategy for competitiveness in the business environment, and supply chain stakeholders expect the role of digital developments and efficient tools in these developments in the supply chain to be considered. One of the most important transformational solutions in today's world is the Internet of Things (IoT). It can accelerate activity in the supply chain and create value in the organization. Due to environmental issues and the increasing speed of changes in customer needs in various industries, such as critical industries where agility has a high impact on people's health, these industries have undergone many changes with the emergence of innovation. Therefore, the whole supply chain path requires im-plementing strategies such as agile and green supply chain and achieving smartness. Thus, emerging technologies such as the Internet of Things play a significant role in the agility and greenness of the en-tire path of the supply chain. Given the importance of the FMCG industry and its impact on people's dai-ly lives, this qualitative study aims to provide a framework for agile supply chain sustainability in the FMCG industry and draw possible implications for a post-pandemic period. This framework embedding the IoT into agility in supply chains can effectively guide FMCG companies in using the Internet of Things to streamline the supply chain

The Hybrid Intelligent Systems for Non-linear Dynamical Systems

This research paper focuses on the use of advanced hybrid intelligent systems for modeling, simulation, and control of complex systems with non-linear behavior. Non-linear dynamical systems, which are prevalent in various industries, present unique challenges that require sophisticated solutions. Hybrid intelligent systems, combining multiple innovative techniques from the field of Soft Computing, have shown great promise in addressing these challenges. In this paper, we provide a comprehensive overview of hybrid intelligent systems and their advantages in dealing with non-linear dynamical systems. We explore the integration of different Soft Computing methodologies, such as Neural Networks, Fuzzy Logic, Genetic Algorithms, and Chaos Theory, to create powerful hybrid systems. We present real-world case studies and experimental results to showcase the effectiveness of these hybrid systems in modeling, simulation, and control tasks. Finally, we discuss future research directions and challenges in this exciting field, emphasizing the importance of continued exploration and development of hybrid intelligent systems for non-linear dynamical systems

An Introduction to Lightweight Flexible Nonlinear Composite (LFNLC) and Elastic Composite, Reinforced Lightweight Concrete (ECRLC) as the Cementitious LFNLC : Lightweight Flexible Nonlinear Composite

Here, a new class of high-performance composites, called “Lightweight Flexible Nonlinear Composites (LFNLC)”, has been briefly introduced. This class of composites has its own structural and functional characteristics. Nonlinear behavior in bending and porous or porous-like texture are instances of such characteristics. - Cementitious LFNLC is termed “Elastic Composite, Reinforced Lightweight Concrete (ECRLC)”. The ECRLC provides lightweight beams with substantial strain capability, resilience modulus and toughness in bending, resulting in a considerable increase in bearing capacity while weighing significantly less. The failure mode in low-height and ultra-lightweight beams made of the ECRLC is not compressive and brittle. - This lightweight, flexible composite is a non-monopolistic, versatile and comparatively low-price material. Likewise, the virtues such as resilience and flexibility, workability, lightness, durability, and high formability are important in architecture. - In general, lightweight and integrated construction has a key importance in earthquake resistance. Therefore, the ECRLC can be especially beneficial in earthquake-prone regions. - By taking advantage of the resilience and flexibility of this formable system, it can also be used to build non-brittle reinforced ultra-lightweight and insulation sandwich panels, safe and lightweight guards, and shock-resistant structures. In addition, they are utilizable in some infrastructures and explosion-proof pieces with suitable behavior, resilience, and toughness. - This work presents a practical method for converting a rigid solid into a flexible material with lower density or increasing the elasticity of a flexible material while decreasing the density. Essentially, this method entails creating a porous or porous-like texture in the material, reinforcing appropriately, and providing it with the necessary integrity. (For example, properly dispersing lightweight aggregates all over the reinforced, conjoined matrix can produce a porous-like texture.) By this process, the resilience modulus and toughness in bending rise and the density reduces. - This paper briefly discusses the functional and structural characteristics of LFNLCs, some applications, and a Reproducible example of the ECRLC

Assessment of Security, Health, Safety, and Environmental Sustainability Risk for Toll Road Construction Workers

Preventing accidents and work-related diseases is an important factor that must be considered in construction activities. The problem that has occurred recently is that the majority of work accidents occur due to human negligence and unsafe actions. Therefore, it is necessary to commit worker awareness in addition to safety, health, security and environmental sustainability (SHSE), where SHSE also pays attention to non worker factors or sustainability after construction to maintenance around the construction site environment. The research aims to analyze the influence of worker behavior on SHSE risk assessments in case studies on the Becakayu Section II-A toll road construction project—quantitative descriptive research method involving 90 workers as respondents. The research results show that SHSE is partially influenced significantly by the variables Employee Knowledge, Employee Attitude, and Employee Action. At the same time, Worker Knowledge, Worker Attitudes and Worker Actions simultaneously have a significant effect on SHSE in the construction of the Becakayu Toll Road section II-A. The research conclusions underline that workers with high knowledge are aware of SHSE behavior, workers' attitudes toward SHSE still require strong commitment, and workers' actions regarding SHSE need to increase awareness of using personal protective equipment to reduce the risk of occupational accidents