Data, information and knowledge management in the field of smart business
fateme abadi; Gholamreza Jamali; Ahmad Ghorbanpour
Abstract
AbstractSmart technologies have brought changes in the supply chain. This study was conducted with the aim of investigating the impact of the Internet of Things on the intelligent management of the supply chain, which evaluates the relationships between variables and their impact and effectiveness with ...
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AbstractSmart technologies have brought changes in the supply chain. This study was conducted with the aim of investigating the impact of the Internet of Things on the intelligent management of the supply chain, which evaluates the relationships between variables and their impact and effectiveness with the fuzzy cognitive mapping method. The statistical population is academic experts and active experts in the drug distribution company in Bushehr province. After identifying the components from the background of the research, an interview was conducted. Then the questionnaire was presented to 10 experts and experts and it was analyzed in several stages, and finally, the main factors of the use of Internet of Things in the supply chain were determined in 9 categories of criteria and 41 sub-criteria. The criteria include: intelligent management of inventory and warehousing, intelligent management of operations, intelligent management of information, intelligent management of products, intelligent management of costs, intelligent management of corporate productivity, intelligent management of customers and drug suppliers, intelligent management of sales and marketing, and intelligent management of the environment.The results showed that intelligent information management was obtained as the most important indicator; Because it affects all indicators. intelligent management of customers, intelligent management of sales and marketing, and intelligent management of operations are the second most influential. Therefore, managers of the drug distribution industry should use Internet of Things technology to intelligently manage information in their organization, improve relationships with customers, improve operations and focus on the sales process, and optimize supply chain processes and profitability. IntroductionThe fourth industrial revolution, through its smart technologies, has greatly affected the management models and traditional supply chain operations (Chen & et al., 2020). Supply chains must be smarter in order to overcome their problems and complexities, such as reducing uncertainty regarding demand and delivery time, poor flow of information, costs, product quality, communicating effectively with customers, etc. (Chbaik, 2022). Application of the mentioned technology in the supply chain in drug distribution industry will play a very important role toward efficiency and effectiveness. In this research, by examining the indicators of Internet of Things in the supply chain, the relationship between these indicators in the supply chain in the pharmaceutical distribution company have been studied. Literature ReviewInternet of Things (IOT) refers to the connection of sensors and devices with a network through which they can interact with each other and with their users. Internet of Things integrates various sensors, objects and smart nodes that can communicate without human intervention and currently has wide applications in smart networks, healthcare and transportation (Dadhaneeya & et all, 2023). Tavakli Moghadam and et al (2022) investigated the use of Internet of Things (IOT) in the food supply chain (FCS) in a research. By reviewing the literature, six basic functions obtained for this type of network including transportation logistics, food production, resource management, food safety, food safety, food quality maintenance and FSC transparency were obtained. Also, a clustering method was used. Disin (2022), investigated the barriers to the adoption of the Internet of Things in the healthcare supply chain in India with a fuzzy approach. In this research, it is stated that the Internet of Things plays an important role in the health care supply chain. It improves the quality of patient care, reduces the cost of medical procedures, maintains flawless operations, and supports clinical decisions. This research identified and analyzed the potential barriers that prevent the healthcare industry from adopting the Internet of Things. In this research, it is stated that the legal and regulatory standards and the lack of information technology infrastructure are the main obstacles affecting the adoption of the Internet of Things in the health supply chain. MethodologyThe statistical population of this research were all academic experts, managers and experts of drug distribution in Darupakhsh Company of Bushehr province, were familiar with the concept of Internet of Things and supply chain and had related work experience and bachelor's degree or higher. Their opinions were used to determine the importance of indicators. The statistical sample for determining the relationship between indicators using the Fuzzy Cognitive Map (FCM) method was 10 out of experts. After identifying indicators from previous studies, a questionnaire was provided to the sample, some less important indicators were removed from the questionnaire. In the second phase questionnaire was designed and then from the point of view of the sample, 41 key indicators were identified, which were classified into 9 categories and used in the fuzzy cognitive map method. Resultsfindings of this research were analyzed based on the process of creating a fuzzy cognitive map. The initial matrix of success for 9 main effective indicators in the intelligent management of the supply chain under Internet of Things technology with a case study in the drug distribution company in Bushehr province. Based on the value and points that 10 experts gave to these indicators in the range of 0 to 100, was formed and after several steps of calculation, we reached the final matrix which is related to the results.Table 1. Final MatrixIndicatorFactorC1C2C3C4C5C6C7C8C9Intelligent management of inventory and warehousingC1 0.860.85 0.810.94 0.93 Intelligent operation managementC20.86 0.98 0.740.670.94 0.58Intelligent information managementC30.850.98 0.780.740.650.930.83 Intelligent product management (pharmaceutical)C40.670.78 0.780.740.57Intelligent cost managementC5 0.74 0.77 0.830.82Intelligent management of corporate productivityC6 0.65 0.77 0.920.50Intelligent management of drug customers and suppliersC70.880.940.93 0.83 0.870.72Intelligent management of sales and marketingC80.930.83 0.740.830.92 0.78Intelligent environmental managementC9 0.58 0.820.50 0.78 Based on the results presented in the final matrix, a fuzzy cognitive map diagram is drawn. It can be seen that the intelligent information management index has the greatest impact on other indices. Then, three indicators of intelligent management of customers including intelligent management of sales and marketing, and intelligent management of operations were also ranked second in terms of influence. On the other hand, four indicators of intelligent management including operations, cost, sales and marketing and productivity are the indicators that have the most influence from other indicators, the highest correlation between the index of intelligent management of information and the intelligent management of company operations with a value of 0.98 and the lowest correlation between productivity intelligent management index and environmental intelligent management index was 0.50, which are examined and analyzed in the research results section. ConclusionAccording to the obtained results, the relationship between all the indicators of the use of the Internet of Things in the supply chain of the pharmaceutical industry is consistent and positive.With intelligent information management, the automatic decision-making process in the company is supported, and with rapid information cooperation in internal operations and cooperation with suppliers and customers, the drug distribution industry is able to respond to the environmental changes. Another influential indicator is the intelligent management of customers, which by using the Internet of Things in the drug distribution industry, succeeded in expanding online services and delivering products on time to the customers, focusing more on customer relationship management and receiving effective feedback on the disadvantages of products purchased by customers. Another influential indicator is the intelligent management of sales and marketing of products, which through an intelligent system to receive the needs of patients of medical centers and other drug applicants, lead to the improvement of the sales of the company's products and services, and respond to the market demand of pharmaceutical products and optimal management. Another effective indicator is the intelligent management of operations, which is optimized by using the Internet of Things in the supply chain processes of pharmaceutical companies in Bushehr province, helping to make the operations flawless and improve the production and delivery process, integrating internal, customer and supply processes, and cooperation and coordination takes place throughout the supply chain.AcknowledgmentsWe are grateful to all the experts who cooperated with the researchers in the process of data collection and favored us.Keywords: Intelligent Technologies, Intelligent Supply Chain Management, Internet of Things, Fuzzy Cognitive Map.
Azadeh Fallahi; amin faraji; amin gharibi
Abstract
Today, many countries are institutionalizing the concept of smart city and implementing IoT programs that support smart city components, relying on the extensive IT infrastructure to improve the sustainability and quality of life needed by their communities. But using the Internet of Things to develop ...
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Today, many countries are institutionalizing the concept of smart city and implementing IoT programs that support smart city components, relying on the extensive IT infrastructure to improve the sustainability and quality of life needed by their communities. But using the Internet of Things to develop a smart city faces several challenges. Accordingly, the purpose of this study is to identify the main challenges of the Internet of Things and to understand the relationship between these challenges to support the development of smart cities in Iran. Initially, 14 major challenges were extracted based on domestic and foreign literature. Then, using the SWARA technique, the challenges were prioritized based on summarizing the views of seven relevant experts in the field of smart cities in Iran. In the next step, the underlying interactions between the identification challenges and their importance were determined using interpretive structural modeling (ISM). Then, MICMAC method was used to confirm the results. According to the findings, the challenges in the interpretive structural method were leveled at six levels. Then, to test the results of this stage, MICMAC method was used.The results of this stage showed that the lack of policies, perspectives and regulatory guidelines, high training, operational and maintenance costs, inequality (social), lack of transparency and responsibility, lack of technical knowledge among Planners, lack of technology infrastructure and lack of intelligence were identified as influential and key variables of the study.
Ra,min Kangarlou Haghighi; Abbas Toloie Eshlaghy; Mohammad Reza Motadel
Abstract
The purpose of paper is to present a conceptual model of the IOT-based online monitoring system to improve the distribution system of pharmaceutical, using the agent-based modeling approach.First, by reviewing the research literature and interviewing industry experts, the basic concepts are extracted ...
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The purpose of paper is to present a conceptual model of the IOT-based online monitoring system to improve the distribution system of pharmaceutical, using the agent-based modeling approach.First, by reviewing the research literature and interviewing industry experts, the basic concepts are extracted and using the grounded-theory method, the conceptual grounded-theory model is compiled; finally, using the obtained model and performing the agent-based modeling steps, the conceptual model of the agent-based is extracted.Based on the findings, data quality, information and communication technology infrastructure, automatic measurement and evaluation, and automatic action and evaluation are among the factors affecting the IoT-based online monitoring system. Also, the agents of the organization, customers, suppliers, governance and information technology infrastructure, interact with each other and with the environment. Based on the results, the IoT-based online monitoring system is an effective way to improve processes, and decision makers can make smarter decisions with this approach.
Leily Ghomashchi; Mohammad Reza Motadel; Abbas Toloee ashlaghi
Abstract
Due to the lack of direct communication between teacher and learner in the e-learning environment, learners in this environment need education with good support and personal redemption. Using this research, you can have new technology in e-learning on the emotions and moods of learners. The statistical ...
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Due to the lack of direct communication between teacher and learner in the e-learning environment, learners in this environment need education with good support and personal redemption. Using this research, you can have new technology in e-learning on the emotions and moods of learners. The statistical population of Farzanegan 7 high school math students is 75 people. In order to find 5 different types of learners' emotions, students are divided into 5 groups of 15, each of which is specifically exposed to different conditions. You have to experience happiness, anger, fear, frustration and hatred, and their face information is posted through the webcam. Your videos are recorded and the learners' emotions are measured and detected in different situations according to the neural network's deep learning algorithms by the Face Reader incremental software system. There has been a research method of designing a fuzzy expert system and a fuzzy inference system. And makes learners discover. And reject. Created within ranges. This change indicates that it increases the feeling and increases the negative feeling. Keywords: Internet of Things, e-learning, learners' emotions.
Seyed Mohammad Mirmohammadi; Akbar Bahador
Abstract
The purpose of this study is to design a vernacular pattern for the implementation of the internet of things in roads and to optimize the traffic with to be smart them. The Internet of things refers to a wide network of objects in which all objects are connected through different smart devices. The purpose ...
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The purpose of this study is to design a vernacular pattern for the implementation of the internet of things in roads and to optimize the traffic with to be smart them. The Internet of things refers to a wide network of objects in which all objects are connected through different smart devices. The purpose of creating a network of intelligent objects is to create an integrated and flexible information system by which services such as identification, control, tracking and receiving online information will be accessed from objects. Internet technology makes it possible for objects around us to exchange information virtually. The population of the study includes Professionals and experts in road - building area and information technology of the country in haram - to - harem freeway company and construction and development of freeways company. The samples required for the qualitative interview will be collected through purposeful sampling. Data collection was carried out through interviews with the data theoretic approach of the foundation of 30 experts in road - building industry. in the end, 15 main categories including privatization and government support, competitive in market , Effective and efficient human factor, system security and privacy protection, regulatory interaction versus relation orientation ,customer trust ,structural modifications costs ,infrastructure and freeways management, acquaintance with intelligent transportation knowledge, governance mandate structure, The optimal fleet and smart automotive manufacturer, optimal sales service management, lack of sanction pressure , society cultural development and Transport optimization was extracted And the paradigmatic paradigm was formed
Gholamreza Jamali ; Seyyed Esmaeil Mousavi; Masoumeh Mohammadi
Abstract
The aim of this research is to analyze the relationship among Internet of Things (IoT) application factors in supply chain of home appliances industry using Fuzzy Cognitive Map (FCM). The statistical population consisted of experts in home appliance business in Bushehr province. These experts were aware ...
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The aim of this research is to analyze the relationship among Internet of Things (IoT) application factors in supply chain of home appliances industry using Fuzzy Cognitive Map (FCM). The statistical population consisted of experts in home appliance business in Bushehr province. These experts were aware of the concept of IoT and supply chain management, out of which 10 were selected. First, after reviewing the literature 38 factors were identified and then using Delphi technique and experts opinion these factors were classified into 9 groups including: product, operational processes, inventory, economics, suppliers, technical support, information, customer, and organization mission. Using Fuzzy Cognitive Map, the results show that all relationship between IoT application factors was positive and information as the most important factor that directly effects on all other factors. The results also show that customer factor was placed in the second ranked. So, home appliance industry managers should increase their competitive ability by better planning and automating processes, optimizing operations, improving customer services, and increasing capital return across the supply chain.
