In the current global system; supply chains are at risk due to increasing procurement shortages, supply disruptions, and the reliability of on-time deliveries with the original order quantities. As a result, an anticipated management model is of vital importance to provide companies with the productive flexibility necessary to adapt quickly to supply changes, in order to ensure the quality and delivery time through efficient management of stocks and supply costs. In this context, this research aims to develop a system to complement classical procurement planning based on inventory management methods and MRP (material requirements planning) systems by considering suppliers’ behavior regarding procurement risks. For this purpose, a system is developed that seeks to simulate the impacts of procurement shortages of different natures. Moreover, the research investigates the development of a system that performs procurement planning of a component manufacturer to determine the supply orders necessary to meet the master production schedule. The system is analyzed based on a set of indicators in the event that the supplier of a material needed for production does not supply on time or has short-term problems. Several scenarios are simulated, and the results are quantified by changing the procurement order quantities, which may or may not follow the economic order quantity (EOQ) model, and the potential procurement disruptions or shortages. The results show how the simulation and anticipation of potential suppliers’ procurement behavior concerning potential shortages and their probability are key for successful procurement within a joint strategy with classical procurement methods.
Over time, the satisfaction of needs and the ability to meet them have consistently increased. However, the world of the 21st century is one in which the basic needs of millions of human beings are still not satisfied. Why? To an extent, nonprofit organizations such as charities play essential roles in the needed improvement of this situation. In this regard, the human factor within an organization is key influence in organizational performance and societal impact. Human beings within organizations make decisions based on their own motives, so the ethical values of each person are significantly important. Therefore, it is necessary to use analyze the potential of the human factor in the fourth industrial revolution and to analyze its influence in the previous industrial revolutions. This research was aimed to conduct such analyses for a nonprofit charity. Moreover, the authors of this paper also analyzed the industrial revolution potentials of the charity case study using system dynamics. The relevance of the presented paper was ensured by the aforementioned combination of topics. The results showed how greater impacts, higher expenses, and higher stocks were not necessarily able to quantitatively satisfy food needs in a timely manner if the human factor and global effectiveness and efficiency were not optimized. When these aspects were optimized, our hypothesis was proven, as the models set for further industrial revolutions were shown to provide better results in the satisfaction, efficiency, and economic indicators with a lower financial need; therefore, this model can be used to satisfy other needs of Maslow’s pyramid. In conclusion, this proposed approach empowers welfare organizations to increase their CSR consideration, thus enabling them to use internal mechanisms to secure viability in the pursuit of a high-performance CSR approach.
Innovations are essential for global development and market dynamics. Innovation management is central to organizations for gaining adaptability and dynamic capabilities to ensure their sustainability over time. Right decisions are essential for the implementation of innovations. However, on many occasions, especially in the product development process, decisions are taken based on static analysis, qualitative criteria, questionnaires, and/or quantitative evaluations that are outdated. Moreover, many innovation developments do not consider the existing databases in their information systems of similar innovation projects, especially in the early phases of new innovations when evaluations are mainly driven by area, group, or person. Furthermore, inventions are introduced in different regions, plants, and socio-economic situations, providing different results. In this context, considering that innovations shape our current and future world, including all products and services, as well as how humans, organizations, and machines interact, the significance of the paper is clear. Therefore, it is necessary to develop an innovation management model based on the Viable System Model to cope with any potential future environment based on internal organizational capabilities. For this purpose, the paper designs a Digital Ecosystem for the Fourth Industrial Revolution (DE4.0) based on the Plan-Do-Check-Act methodology applicable to any information system consisting of a digital twin, a simulation model, databases from existing information systems, and quality management techniques. This DE4.0 provides a huge advantage for the applicability and scalability of innovations as it allows one to plan, monitor, assess, and improve. Moreover, based on the conceptual model, a generic project evaluation scheme is developed, providing a platform for innovation project management and control during the whole innovation life cycle. As a result, the research provides a scientific and practical contribution for an integrated management of innovations based on the best information and set of techniques available. Based on this framework, a supply-chain case study is developed. The results show how, depending on the intended goals, the past experiences, the evolution of the innovation, and the innovation scope, indicators can be influenced towards reaching the initial goals and reducing the innovation risks. Finally, a discussion about the potential use and role of the DE4.0 for innovation projects and the related learning process is performed.
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