Journal of Manufacturing Technology Management: Volume 24 Issue 2

Viewing engineering offshoring in a network perspective: addressing and managing risks

Zaza Nadja Lee Hansen, Yufeng Zhang, Saeema Ahmed‐Kristensen

Companies are increasingly engaged with global engineering networks through offshoring of product development activities from R&D to production. This creates many new challenges…

A knowledge‐based system for process family planning

Linda L. Zhang, Qianli Xu, Petri Helo

The purpose of this paper is twofold. First, it is to introduce a knowledge‐based system for planning processes for families of final products, instead of component items, be they…

An integrated methodology to prioritise improvement initiatives in low volume‐high integrity product manufacturing organisations

Ben Marriott, Jose Arturo Garza‐Reyes, Horacio Soriano‐Meier, Jiju Antony

Several authors have proposed different approaches to help practitioners deal with the complexity of prioritising improvement projects and initiatives. However, these approaches…

Paradigm shift: do‐it‐yourself (DIY) invention and production of physical goods for use or sale

Stephen Fox

There has been little explicit consideration of do‐it‐yourself (DIY) in previous manufacturing literature. This may be because traditional DIY is an outlet for physical goods that…

A lifecycle perspective on buyer‐supplier collaboration in process development projects

David Rönnberg‐Sjödin

Development and implementation of new process equipment within the process industries frequently necessitate strong collaboration between process firms and their equipment…

Integrated manufacturing strategy for deployment of CADCAM methodology in a SMME

Adedeji O. Esan, Mohammed K. Khan, Hong S. Qi, Craig Naylor

Cost reduction through the use of technology has become the competitive strength of companies. The benefits of technology integration are quite credible and have been effective in…

Application of artificial neural network for fuzzy logic based leanness assessment

K.E.K. Vimal, Sekar Vinodh

The purpose of this paper is to report a case study in which artificial neural network (ANN) has been used for performing fuzzy logic based leanness assessment.