There is a general perception that Resources Optimization is a concept related to Cost Analysis, however, these two concepts are not the same. Some analysts are not very clear about the difference between the two. However, both concepts are related to the process of finding cost effectiveness in different types of activities. Analyzing different types of activity such as marketing, production and financial activities are all part of the process. Therefore, in any company, resources optimization is required depending on the type of business that is being operated. The scope of business activities is different for each type of business.
This paper discusses four different perspectives on how to improve Water Resources Management. A Water Resources Optimization approach is implemented to examine how changes in allocation of resources affect the organization. Within this framework, an analysis is made of the various types of activities being conducted in order to understand how they can be maximized in order to create a better business model. The four perspectives are then analyzed based on their usefulness in Water Resources Management.
Resource optimization has two components. These components include research and development, and customer requirements. Research addresses technological issues, business issues and social issues. Customer requirements address customer needs and their optimization. This is a crucial aspect, as it determines the company’s future growth and development.
This paper provides a framework for water resources management by identifying five key aspects and providing case studies of each. The first facet is an analysis of the current state of the art and what tools are at disposal. The second aspect is an analysis of the current water resources management system that includes the integrated management of water resources, including dams, aqueducts, reservoirs and sewage treatment plants. The third aspect is a closer examination of the customer requirements and the optimization process.
The next part of the paper looks at two key topics of global optimization. One is traditional programming, which refers to the use of fixed procedures with standardized specifications. Global optimization refers to the development of systems and programs for global optimization. The third aspect examines the use of software development approaches in water resources management models.
These are the key issues studied in the third aspect of the study. There was a comprehensive analysis conducted by the authors to assess how service selection optimization, process optimization, and process improvement programming can be incorporated into a mixed-service supply chain (also known as cloud manufacturing environments). The research also looked at how these optimization methods can be used in a manufacturing operation that uses off-site and on-site manufacturing facilities. The study concluded that these methods are viable for improving service performance.
The second aspect looked at five scenarios that illustrate the problems with current water resources systems around the world. It first examines the need for optimized processes during all phases of the production process. Next it examines the effect of poor process design on product yield as well as on the overall value provided by a large-scale water resources system.
The fifth aspect examines the impact of process variation across different physical locations. Then the analysis considered the effect of process variation across physical processes using a large-scale case study. This journal of water resources planning and management, 2021, offers a detailed analysis of five aspects of the optimization of large-scale systems. These include the benefits of using IT for water resources management, the impact of process variation across physical locations, the use of on-site or off-site manufacturing facilities, the need for an optimized infrastructure for a supply chain using traditional or virtual manufacturing, and the benefits of using an IT-centric process strategy for water resources management.