A Development Model of Decision Support System for Purchasing of Laboratory Reagent

Abstract

This p aper studies the research in the area of analysis hierarchy process (AHP), goal programming (GP), time series analysis (TSA) and expert system (ES), which resulted in the development of the purchasing of laboratory reagent system (PLRS). This paper also introduces how a decision support system for purchasing of laboratory reagent system can be modeled, constructed, explored and explained. It is not only to promote the automatic process through a systematic framework of decision support system for purchasing of laboratory reagent, but also to increase the performance of optimize cost and to highly benefit the pioneer who uses this approach. Treatments in health service place take a pathological analysis for support doctor in decision making. Information of pathological is measured the chemical, pathogen and other in the body. This results in making report of state of the body for treatment and health planning because the information are used for assign the method and planning the treatment. The implementation of edge technology equipment for pathological analysis helps reduce staffs reducing and able to analysis greater in speed and accurate. The problems in the case study include the laboratory reagents are expensive, each laboratory reagents are different how to use and maintenance, the cost of maintenance is quite too high, the loss of opportunity from demand of laboratory reagents is more increase, and the loss of opportunity from laboratory reagents are expired. These problems require management and forecasting present and future demand for use each type of laboratory reagents. The work incorporates analytic hierarchy process in choosing the best suppliers with goal programming for the purpose of purchasing the total number of each type of laboratory reagents that enables the lowest cost. Then proposed a time series analysis technique is for forecasting the demand for each type of laboratory reagents during a particular time. Finally, using a consulting/expert system for the identification of nonlinear time series analysis is for optimize cost efficiency. It is generally accepted that decision support system for purchasing of laboratory reagent is a larger and more