THE DESIGN AND IMPLEMENTATION OF A COMPUTERIZED STANDARD APPRAISAL SYSTEM FOR PHARMACEUTICAL PRODUCTS (A CASE STUDY OF NAFDAC NIGERIA). A RESEARCH PROJECT MATERIAL ON COMPUTER SCIENCE
In Nigeria, National Agency for Food and Drug Administration and Control (NAFDAC) has the mandate to regulate and control the manufacture, importation, exportation, distribution, advertisement, sale and use of Food, Drugs, Cosmetics, Medical Devices, Chemical, Packaged Water and other drinks.
This project work researched into the procedures and criteria involved in the appraisal of pharmaceutical products by NAFDAC Nigeria.
Drugs and other pharmaceutical products are specialized commodities to be used in critical situations. As such, quality of such products must be assured at all times. This is where a computerized appraisal system for pharmaceutical products comes to play.
This project work helps the Agency achieve their aim with ease. This design is more accurate and reliable it will try to bring in techniques of modern operations into the computerization of the pharmaceutical products appraisal. Due to inevitable constraints, this work is restricted to a particular product in terms of the program design.
1.1 BACKGROUND OF STUDY
The search for excellences begins with a search for what one needs to achieve one’s personal best, the search ahs led to discovery of many tools to improve human efficiency. Computer invention leads this class.
Since the advent in the mid 40’s the problem has become how to use computer truly for human endeavour. Initially, it was used as guides towards improving administrative performances, today the shift is on the side of the computer making decision and improving operation performance directly.
Since in the decision making, computer approach was enhanced with advancement in operation research management science, quantitative techniques in solving modern day problem using computers.
Decisions are basically made daily on raw materials inventory engineering spare parts, procurement and contend if personal etc. these decisions are supposed to be made from the interpretation of processed data. This is however, not usually the case.