A Generalized Model for Automation Cost Estimating Systems (ACES) for Sustainable Manufacturing

Abstract

Automation technology is a new area of technology that requires proper selection of variables to minimize cost and maximize profit. This paper is aim at developing a mathematical model that will be able to solve all automation cost estimating systems (ACES), be it full automation, partial automation, manufacturing automation or service automation as well as fixed, flexible or programmable automation. Extensive research has gone into cost modeling over the years and many commercial, as well as free software solutions, have been widely exploited to proffer solutions to cost modeling especially in ACES. Hence, a lasting solution to the problem of ACES, its implementation, and application in automated manufacturing and process industries is demonstrated in this paper.