Evolution
The first step for digital transformation is to evaluate the organization’s current technology maturity status by a specific framework. In this step, with field visits, completion of questionnaires and consultation with experts, the required information will be obtained to find the maturity level of the technology and the needs of the industry. One of the criteria that will be used to measure the readiness and maturity of technologies is technology readiness levels or TRL (Technology Readiness Level). TRL is an analytical tool for measuring and evaluating the level of preparation and maturity of technology and the amount of riskiness caused by using a technology in product development.
Technological readiness should not be confused with technological readiness. In order to be able to say that the technology is mature, it must be established in the form of a used engineering sample and its optimal performance in an operational or similar environment must be confirmed. In fact, technology readiness is an indicator to measure the maturity of new technologies from the time of design, development and application. If technological readiness is the degree of inclination and ability of people towards accepting technology (new technologies) and applying it in personal and work matters. Therefore, technology maturity will be: “The successful use of a technology in a system or product, or a process, or becoming a successful system or product.” With this definition, the purpose of measuring the maturity level of a technology is to determine that To what extent the mentioned technology can meet the expectations of a system or process.
Technology Maturity Level or TRL (Technology Readiness Level) is a set of criteria to evaluate the level of maturity and readiness of technology, which makes it possible to compare the compatibility between different types of technology in the framework of a specific product and in an operational and practical environment. The calculation of TRL includes the examination and evaluation of components, subsystems and the complete system of a technology and its environment. It is necessary to determine the maturity level of technology, reduce the risk of technology projects and adjust the costs of testing technologies and technology improvement projects.
Strengthening sustainability, as an important strategy for industries, is realized by identifying and paying attention to various factors, sustainability strategies are based on scientific principles and foundations and help organizations to identify and fix fundamental deficiencies in the way they operate and manage. do These strategies also ensure proper planning and targeting of charters and policies so that they can properly implement organizational tasks and improve performance. The sustainability strategy consists of five dimensions of environmental monitoring, economic growth, social welfare, technological progress and performance management.
One of the characteristics of the sustainability strategy in industries is to increase the productivity of resources, resource productivity is very important because the lack of control over the correct use of resources can lead to a decrease in efficiency and a significant drop in the profitability of the organization. Sustainability strategies focus on resource efficiency and provide solutions to ensure the appropriate use of resources.
One of the characteristics of sustainability strategy in industries is increasing the ability to cooperate and accompany stakeholders. Sustainability strategies require cooperation and collaboration between organizations, governments, communities, and other stakeholders. This cooperation and companionship can help to develop common solutions for optimal use of available resources. Also, this collaboration can help facilitate the exchange of knowledge and experiences between different stakeholders and improve operational processes.
Another feature of sustainability strategy is environmental protection, sustainability strategies in industries require the adoption of methods and solutions that can reduce negative effects on the environment. For example, using a sustainable and optimized supply chain with advanced technologies can help reduce air pollution and traffic. Also, effective waste management and reduction of greenhouse gas emissionsalso helps to achieve this goal. Dealing with organizational deficiencies and improving performance is another feature of sustainability strategies in industries.
The implementation of this step will be done based on the analysis of patents and technology trends in the world by a professional and experienced team, and taking into account the background of technology and existing infrastructure in the country, as well as comparing the common methods and future research of the relevant technology, it is the best solution and suggestion. Detailed will be provided.
One of the pillars of the fourth industrial revolution is the digitization of physical assets and production processes, which moves towards the concept of cyber-physical production systems (CPPS). In these systems, every component of the production process of machines, tools, workstations, etc. is equipped with sensors. These sensors have information about themselves and can interact with each other. Innovation in industries means creating and applying new methods, technologies, products and systems in processes. These innovations can be presented at different levels of operations. Innovative solutions in industries using advanced technologies such as artificial intelligence, Internet of Things and robotics will bring a significant improvement in production and improve their quality.With the advancement of technologies and the rapid growth of science, the development of innovative solutions in industries has been considered as an essential tool for upgrading to the fourth generation industry. These solutions help to reduce costs, increase productivity and improve quality by using advanced technologies, advanced tools and new production methods.
In general, the digital operating model is an abstract representation of how an organization operates in a wide range of areas in order to achieve its goals. The operational model helps to explain how value is created in the organization with special focus on resources, capabilities, processes and people. In other words, the operating model logically derives from the “why” of the company’s existence, its “goal” and “how” to achieve the goals. Therefore, the operating model is not a fixed structure, but a dynamic framework that constantly adapts to the changing environment and can be defined and documented to match the maturity and needs of the company.
The digital age requires organizational unity and integrity that allows agility to adapt to rapid changes in strategy, evolving markets, and the emergence of new opportunities. Therefore, every business to stay in the circle of competitionResponding to customers’ needs in the shortest possible time and with the highest quality must be committed to a digital operating model. While the digital and information technology strategy answers the what and why within the business strategy framework, the digital operating model will answer the how within the business strategy framework. This operating model is a new way of running an organization that combines digital technologies and operational capabilities in an integrated and well-ordered way to achieve improvements in revenue, customer experience and cost.
Smartening means the use of equipment and information systems to facilitate activities, improve individual and social life, and implement things less imperfectly; The expansion of intelligent systems on the one hand, and the interest in implementing these systems in various industries such as oil, gas, refining, petrochemical, energy, steel,There is mining, agriculture, medicine and manufacturing, on the other hand, it has drawn a bright future for these systems.
Intelligence is the process by which acquired business data is transformed into meaningful information for business purposes. Fourth generation intelligence is a new type of business intelligence systems; which deals with predicting events instead of reacting. In the usual methods of analyzing the information obtained from the events, it is used in order to increase the decision-making opportunity in the organization; While fourth generation intelligence deals with decision making before the event based on the pulse of the organization and the competitive business environment. The fourth generation of intelligentization turns organizations into data-driven collections and in this way gives them a competitive advantage compared to other competitors.
The first step for digital transformation is to evaluate the organization’s current technology maturity status by a specific framework. In this step, with field visits, completion of questionnaires and consultation with experts, the required information will be obtained to find the maturity level of the technology and the needs of the industry. One of the criteria that will be used to measure the readiness and maturity of technologies is technology readiness levels or TRL (Technology Readiness Level). TRL is an analytical tool for measuring and evaluating the level of preparation and maturity of technology and the amount of riskiness caused by using a technology in product development.
Technological readiness should not be confused with technological readiness. In order to be able to say that the technology is mature, it must be established in the form of a used engineering sample and its optimal performance in an operational or similar environment must be confirmed. In fact, technology readiness is an indicator to measure the maturity of new technologies from the time of design, development and application. If technological readiness is the degree of inclination and ability of people towards accepting technology (new technologies) and applying it in personal and work matters. Therefore, technology maturity will be: “The successful use of a technology in a system or product, or a process, or becoming a successful system or product.” With this definition, the purpose of measuring the maturity level of a technology is to determine that To what extent the mentioned technology can meet the expectations of a system or process.
Technology Maturity Level or TRL (Technology Readiness Level) is a set of criteria to evaluate the level of maturity and readiness of technology, which makes it possible to compare the compatibility between different types of technology in the framework of a specific product and in an operational and practical environment. The calculation of TRL includes the examination and evaluation of components, subsystems and the complete system of a technology and its environment. It is necessary to determine the maturity level of technology, reduce the risk of technology projects and adjust the costs of testing technologies and technology improvement projects.
Strengthening sustainability, as an important strategy for industries, is realized by identifying and paying attention to various factors, sustainability strategies are based on scientific principles and foundations and help organizations to identify and fix fundamental deficiencies in the way they operate and manage. do These strategies also ensure proper planning and targeting of charters and policies so that they can properly implement organizational tasks and improve performance. The sustainability strategy consists of five dimensions of environmental monitoring, economic growth, social welfare, technological progress and performance management.
One of the characteristics of the sustainability strategy in industries is to increase the productivity of resources, resource productivity is very important because the lack of control over the correct use of resources can lead to a decrease in efficiency and a significant drop in the profitability of the organization. Sustainability strategies focus on resource efficiency and provide solutions to ensure the appropriate use of resources.
One of the characteristics of sustainability strategy in industries is increasing the ability to cooperate and accompany stakeholders. Sustainability strategies require cooperation and collaboration between organizations, governments, communities, and other stakeholders. This cooperation and companionship can help to develop common solutions for optimal use of available resources. Also, this collaboration can help facilitate the exchange of knowledge and experiences between different stakeholders and improve operational processes.
Another feature of sustainability strategy is environmental protection, sustainability strategies in industries require the adoption of methods and solutions that can reduce negative effects on the environment. For example, using a sustainable and optimized supply chain with advanced technologies can help reduce air pollution and traffic. Also, effective waste management and reduction of greenhouse gas emissionsalso helps to achieve this goal. Dealing with organizational deficiencies and improving performance is another feature of sustainability strategies in industries.
The implementation of this step will be done based on the analysis of patents and technology trends in the world by a professional and experienced team, and taking into account the background of technology and existing infrastructure in the country, as well as comparing the common methods and future research of the relevant technology, it is the best solution and suggestion. Detailed will be provided.
One of the pillars of the fourth industrial revolution is the digitization of physical assets and production processes, which moves towards the concept of cyber-physical production systems (CPPS). In these systems, every component of the production process of machines, tools, workstations, etc. is equipped with sensors. These sensors have information about themselves and can interact with each other. Innovation in industries means creating and applying new methods, technologies, products and systems in processes. These innovations can be presented at different levels of operations. Innovative solutions in industries using advanced technologies such as artificial intelligence, Internet of Things and robotics will bring a significant improvement in production and improve their quality.With the advancement of technologies and the rapid growth of science, the development of innovative solutions in industries has been considered as an essential tool for upgrading to the fourth generation industry. These solutions help to reduce costs, increase productivity and improve quality by using advanced technologies, advanced tools and new production methods.
In general, the digital operating model is an abstract representation of how an organization operates in a wide range of areas in order to achieve its goals. The operational model helps to explain how value is created in the organization with special focus on resources, capabilities, processes and people. In other words, the operating model logically derives from the “why” of the company’s existence, its “goal” and “how” to achieve the goals. Therefore, the operating model is not a fixed structure, but a dynamic framework that constantly adapts to the changing environment and can be defined and documented to match the maturity and needs of the company.
The digital age requires organizational unity and integrity that allows agility to adapt to rapid changes in strategy, evolving markets, and the emergence of new opportunities. Therefore, every business to stay in the circle of competitionResponding to customers’ needs in the shortest possible time and with the highest quality must be committed to a digital operating model. While the digital and information technology strategy answers the what and why within the business strategy framework, the digital operating model will answer the how within the business strategy framework. This operating model is a new way of running an organization that combines digital technologies and operational capabilities in an integrated and well-ordered way to achieve improvements in revenue, customer experience and cost.
Smartening means the use of equipment and information systems to facilitate activities, improve individual and social life, and implement things less imperfectly; The expansion of intelligent systems on the one hand, and the interest in implementing these systems in various industries such as oil, gas, refining, petrochemical, energy, steel,There is mining, agriculture, medicine and manufacturing, on the other hand, it has drawn a bright future for these systems.
Intelligence is the process by which acquired business data is transformed into meaningful information for business purposes. Fourth generation intelligence is a new type of business intelligence systems; which deals with predicting events instead of reacting. In the usual methods of analyzing the information obtained from the events, it is used in order to increase the decision-making opportunity in the organization; While fourth generation intelligence deals with decision making before the event based on the pulse of the organization and the competitive business environment. The fourth generation of intelligentization turns organizations into data-driven collections and in this way gives them a competitive advantage compared to other competitors.
