An exhaustive review on intelligent computer-aided process planning in context with various optimisation techniques (OPTE-2021-1994)

Abstract

Computer-aided process planning (CAPP) is a major technology that aims to integrate computer-aided design (CAD) and computer-aided manufacturing (CAM). Nowadays most of the industries are keen to produce superior quality products with significant reduction in manufacturing time and production cost to meet the customer requirements. CAPP optimisation uses various techniques to serve its purpose and deliver the market ready product. Considerable research has been carried-out on automatic CAPP approaches by various researchers. In this paper an attempt has been made to present the contemporary review on CAPP system in context to the genetic algorithms (GAs), feature-based system (FBS), knowledge-based system (KBS), artificial neural networks (ANN) and STEP-complaint (STEP-C) technologies in the past two decades. The present review focuses on critical analysis and graphically represents the research trends of CAPP system over the years. The structure of the current work contains CAPP introduction, classification, optimisation approaches and conclusions along with recommendations to adopt CAPP system. The paper discusses the types of CAPP systems (generative and variant), computer-aided process planning methods/techniques and past two decades overview on CAPP optimisation techniques.