Implementing a fuzzy expert system for ensuring information technology supply chain

Abstract

In the business environment, information technology (IT) plays an important role for firms' performance. It provides information flow that makes the supply chain more robust and resilient without undermining its efficiency. Smart systems use artificial intelligence methods for solving problems and facilitating decision‐making through rule‐based deduction. Accordingly, these systems can present specialists' skills and simulate their thinking process. The primary goal of expert systems is to implement knowledge acquisition process by converting knowledge to wisdom. This process is vital for critical decision‐making regarding important issues such as determining necessities of a particular contract. Companies use professional liability insurance of the products and services to ensure the purchasers and prevent potential losses. Although this practice is highly prevalent, there is not any particular procedure for measuring necessities of contracts. The main purpose of this paper is to design a fuzzy expert system for measuring the necessities of professional contracts regarding insurance coverage and improve the supply chain management using IT. This system can measure and report these obligations, considering specifications of each project. Taking into perspective variety of professional services/products, we consider software as a type of professional contracts, extract its important indices and give it to the system as the input. After the necessary stages, the system produces a proper response and presents the generated response to the user. The software of this expert system is web based, and there are four operating layers in its architecture. We implemented this program in MS Visual Studio Framework with C#.NET programming language. Moreover, we implemented MS SQL‐Server Database Management.

Application of Expert Systems or Decision-Making Systems in the Field of Education

“…Published Online 18-Mar-2021 through which the disease management could take place in finger millets by the cultivators. The model was on the use of both factors that helped in acquiring information about a new type of disease found in finger millet farms (Shokouhyar et al, 2018). Expert system-based fuzzy logic is used in the supply chain industry to assess supplier capabilities and develop the existing supplier base.…”

“…On the other hand, the application of a fuzzy logic-based expert system helps the insurance specialists to make decisions about individual life insurance cases. The expert system helps in analyzing the health status of the individuals and proposes the best policies for them as per the client's suitable premium ranges (Shokouhyar et al, 2018). Thus, it can be said the expert system is highly efficient and used in different fields because of its unique feature that helps in reducing cost and enhancing the decision quality of the individuals.…”

Application of expert systems or decision-making systems in the field of education

“…Expert system was also used to develop a model through which the disease management could take place in finger millets by the cultivators. The model was on the use of both factors that helped in acquiring information about a new type of disease found in finger millet farms (Shokouhyar et al, 2018). Expert system-based fuzzy logic is used in the supply chain industry to assess supplier capabilities and develop the existing supplier base.…”

Development of an approach to managing dry fruit supply chains using expert systems

“…Paper [10] shows that expert systems are used at various stages of the logistics process, making it easier to solve problems that require considerable experience and time consumption. The authors of research [11,12] talk about the studies and applications related to the ES use in logistics and supply chains, namely, about the limitations of the latter, although they play an important role in a physically distributed corporate environment.…”