PurposeThis paper aims to provide a review of techniques that support risk management in product development projects using the concurrent engineering (CE) philosophy.Design/methodology/approachThe Australia/New Zealand risk management standard AS/NZS 4360:1999 proposes a generic framework for risk management. This standard was adapted for product development projects in the CE environment. In this paper, existing techniques were reviewed for their applicability to processes in risk management; namely, techniques for establishing context, risk identification, risk assessment and treatment.FindingsRisk management is an activity within project management that is gaining importance due to current business environment with a global focus and competition. The techniques reviewed in this paper are used on an ad hoc basis currently. A more risk focused approach is likely to result in an integration of several of these techniques, resulting in an increased effectiveness of project management.Practical implicationsThe techniques reviewed in this paper can be used for the development of risk management tools for engineering and product development projects.Originality/valueThis paper provides a gist of techniques categorized in the form that they are applicable for implementation of risk management functions in product development projects using CE philosophy.

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Purpose -The purpose of this paper is to develop comprehensive risk management tool, Intelligent Risk Mapping and Assessment System (IRMASe) with a contingency for multi-site, multi-partner concurrent engineering projects with the aim of achieving above-mentioned paradigms. Its unique knowledge warehouse enables the use of organisational knowledge, lessons learnt, captured as well as best practices to minimise risks in project management. Design/methodology/approach -IRMAS is designed to identify, prioritise, analyse and assist project managers to manage perceived sources of concurrent engineering risks. Several knowledge elicitation techniques were used to compile the knowledge used for the intelligent system developed. The core of the research is the reasoning methodology that not only supports the decision-making process of the user, but also aids the knowledge retrieving, storing, sharing and updating process of manufacturing organisations.

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Additively manufactured nano-MEH systems are widely used to harvest energy from renewable and sustainable energy sources such as wind, ocean, sunlight, raindrops, and ambient vibrations. A comprehensive study focusing on in-depth technology evolution, applications, problems, and future trends of specifically 3D printed nano-MEH systems with an energy point of view is rarely conducted. Therefore, this paper looks into the state-of-the-art technologies, energy harvesting sources/methods, performance, implementations, emerging applications, potential challenges, and future perspectives of additively manufactured nano-mechanical energy harvesting (3DP-NMEH) systems. The prevailing challenges concerning renewable energy harvesting capacities, optimal energy scavenging, power management, material functionalization, sustainable prototyping strategies, new materials, commercialization, and hybridization are discussed. A novel solution is proposed for renewable energy generation and medicinal purposes based on the sustainable utilization of recyclable municipal and medical waste generated during the COVID-19 pandemic. Finally, recommendations for future research are presented concerning the cutting-edge issues hurdling the optimal exploitation of renewable energy resources through NMEHs. China and the USA are the most significant leading forces in enhancing 3DP-NMEH technology, with more than 75% contributions collectively. The reported output energy capacities of additively manufactured nano-MEH systems were 0.5–32 mW, 0.0002–45.6 mW, and 0.3–4.67 mW for electromagnetic, piezoelectric, and triboelectric nanogenerators, respectively. The optimal strategies and techniques to enhance these energy capacities are compiled in this paper. Graphical Abstract

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