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The paper aims to propose a system that uses a combination of techniques to suggest weld requirements for ships parts. These suggestions are evaluated, decisions are made and then weld parameters are sent to a program generator.

A pattern recognition system recognizes shipbuilding parts using shape contour information. Fourier‐descriptors provide information and neural networks make decisions about shapes.

The system has distinguished between various parts and programs have been generated so that the methods have proved to be valid approaches.

The new system used a rudimentary curvature metric that measured Euclidean distance between two points in a window but the improved accuracy and ease of implementation can benefit other applications concerning curve approximation, node tracing, and image processing, but especially in identifying images of manufactured parts with distinct corners.

A new proposed system has been presented that uses image processing techniques in combination with a computer‐aided design model to provide information to a multi‐intelligent decision module. This module will use different criteria to determine a best weld path. Once the weld path has been determined then the program generator and post‐processor can be used to send a compatible program to the robot controller. The progress so far is described.

The purpose of this paper is to present the Lean “Leadership People Process Outcome” (LPPO) implementation model.

The model is developed from existing models through literature review and its success from use in lean implementation is reported in case studies.

The LPPO model is a Lean implementation model that is flexible and easily adaptable. It is system based, people driven, customer centred, with measurable outcome and a drive for continuous improvement.

This work is based on existing literature and case studies.

The paper would be of interest to Lean practitioners as the model developed is system generic and easily adaptable.

The LPPO model presented in this paper has been newly developed and the successful application is seen in the case studies.

The purpose of this paper is to investigate computer‐aided design (CAD) and computer‐aided engineering (CAE) as enablers of agile manufacturing (AM).

Based on the literature review, the importance of technology integration enabling AM has been found. CAD technology has been used for modelling baseline product; CAE has been used for deriving optimized parameters; new designs have been derived.

The feasibility of CAD and CAE as enablers of AM has been ensured.

The study has been conducted only in one automotive sprocket manufacturing organization.

The practical feasibility of generating new products through technology integration has been ensured.

Very little research has been reported on technology‐integrated AM practices. In this study, CAD and CAE have been used for enabling product development.