Next-generation manufacturing systems: key research issues in developing and integrating reconfigurable and intelligent machines

TLDR

Manufacturing systems have evolved from mass production to flexible automation and mass customization to meet rising demand for customized, short‑lifecycle products, reflecting changing customer needs. The paper argues that next‑generation manufacturing must integrate greater flexibility and intelligence, evolving toward reconfigurable systems to sustain efficient operations with minimal downtime amid uncertainty. A comprehensive literature review identifies key research issues for developing and deploying reconfigurable machine tools, outlining the challenges and opportunities in this field.

Abstract

Throughout history it has been proved that tendencies in the manufacturing floor are a reflection of the changes in the customer's demands. Today, markets increasingly require more customized products, with shorter life cycles. In response, manufacturing systems have evolved from mass production techniques, through flexible automation, and to mass customization to produce 'one-of-a-kind production' at mass production costs. This paper argues that manufacturing systems of the next generation will have to incorporate more flexibility and intelligence, evolving towards reconfigurable manufacturing systems. In particular, the concept of 'intelligence' becomes more relevant because of the need to maintain effective and efficient manufacturing operations with minimum downtime under conditions of uncertainty. This paper presents a comprehensive literature review of the field of reconfigurable and intelligent machines. The relevant research issues for the development and introduction of reconfigurable machines tools are presented.