Computational Logic for Proffering Solutions to Multi-Criteria Surrogate Problem in Manufacturing Equipment Procurement under Limited Available Budget

Machinery equipment are indispensable in manufacturing and food production industries. The economical usage and maintenance culture of these equipment determine the productivity of the industry. However, when these equipment are out of date, it calls for urgent need either by replacement or procuring an updated ones as a backup. Hence, the development of the model, using an existing data to evaluate the machines due for upgrading. Goal programming model applicable to this problem was adopted to optimize the profit and budget while setting time, efficiency, and quantity of products as constraints to be 8.98 hours, 90%, and 830,000 respectively. Software programming language called JAVA 17 was used to validate the performance of the optimized model. By implementing software programming, Morning, Afternoon, and Night shifts were assumed to be 4, 3, and 7, while the efficiency of the machines for those shifts were 57%, 43%, and 70%, and the GPT was calculated as 60,000, 45,000 and 70,000. With these assumptions, it implies the machines used to run for those periods are not efficient enough to produce the required quantity since the percentage is far less than the standard i.e. 85%.