Shipbuilding 4.0 Index Approaching Supply Chain

The shipbuilding industry shows a special interest in adapting to the changes proposed by the industry 4.0. This article bets on the development of an index that indicates the current situation considering that supply chain is a key factor in any type of change, and at the same time it serves as a control tool in the implementation of improvements. The proposed indices provide a first definition of the paradigm or paradigms that best fit the supply chain in order to improve its sustainability and a second definition, regarding the key enabling technologies for Industry 4.0. The values obtained put shipbuilding on the road to industry 4.0 while suggesting categorized planning of technologies

The impact of data-driven technologies on supply chain design

Recent supply chain disruptions following Covid-19 and international crises have led to changing paradigms in supply chain design. Likewise, data-driven technologies housed under the term Industry 4.0 have an increasing impact on how supply chains are orchestrated and shaped. This paper gives an overview to several examples of recent and expectable trends in supply chain design. Advanced manufacturing technologies, data-driven technologies in logistics and supply chain management, electrification of vehicles, as well as microchips and semiconductor manufacturing are described as representative drivers of new forms of supply chain design. In this context, a special emphasis is devoted to European initiatives such as the European Chips Act or the European Battery Alliance. Examples such as manufacturing ecosystems or platform based manufacturing are given as well as locally independent supply chains that provide potentials for supply resilience and sustainability. The paper concludes with a research agenda that includes seven areas for future research, including changes in supply chain structure, changes in inter-firm interaction, integration of small and medium-sized enterprises, changing roles of humans and new forms of business models and collaboration. In this context, the interrelations between technologies (product and production level) as well as the research avenues must be emphasized

Sustainability transition of production systems in the digital era - a systems perspective for building resilient and sustainable production systems

Locked-in manufacturing industries with highly structured operations and path dependencies are major contributors to the sustainability challenges currently burdening our planet. The effects of the ongoing pandemic, large-scale environmental impacts due to climate change and constant economic and social downturns are just some examples of these sustainability challenges. Increased digitalisation, awareness, global initiatives and regulations are pressuring manufacturing industries to transition towards sustainable development. However, there exists a multitude of interpretations in implementing sustainability in manufacturing industries. This makes proposing tangible actions to translate global initiatives complicated, thus hindering the sustainability transition process.The purpose of this thesis is to support the advancement of resilient production systems which can overcome sustainability challenges in the Industry 4.0 era. Hence, the thesis aims to investigate: (i) the systemic challenges of manufacturing companies which hinder their sustainability transition process and (ii) the mechanisms by which a systems perspective may be applied to support the transition. A mixed-methods approach was used to carry out the research, using qualitative and quantitative data from three (empirical and theoretical) studies. Applying a systems perspective helped reveal the challenges which hinder the sustainability transition of production systems. Understanding the production ‘system’ as a whole (and the underlying web of intricate dependencies and challenges in production operations) required this holistic perspective. Regarding the challenges, it was observed that manufacturing industries across different domains face three main types of challenge: internal (such as organisational routines, strategies and cultural mindset), external (such as regulations and collaboration with stakeholders) and technological (such as maturity levels and data). Three different enabling mechanisms were explored which may help overcome the above sustainability challenges and support the sustainability transition of manufacturing industries: (1) Industry 4.0 technologies, (2) dynamic capabilities and (3) resilience engineering. It was observed that Industry 4.0 technologies (such as artificial intelligence/machine learning, virtual development tools and sensors) are largely implemented to enable sustainable manufacturing in the form of resource efficiency and waste reduction. The results also revealed five microfoundations of dynamic capabilities – communication, organisation, resources, collaboration and technology. Based on Industry 4.0 opportunities to promote sustainability transitions, the results revealed five industrial resilience factors – robustness, agility, resourcefulness, adaptability and flexibility.This research contributes to theory by studying the convergence of emergent research topics, such as Industry 4.0, dynamic capabilities and resilience engineering in the context of sustainability transitions. In terms of a practical contribution, the sustainability transitions model developed in this thesis may support industrial practitioners in gaining a holistic understanding of the systemic challenges to sustainability, plus corresponding mechanisms to promote the sustainability transition of industries and the building of resilient production systems

Additive Manufacturing in the Supply Chain

Additive manufacturing (AM) is replacing traditional manufacturing approaches – such as subtractive and molding – in some industries. The product and supply chain impacts of AM continue to extend its industrial reach, improve engineer-to-order manufacturing, and pave the way to mass customization. This study explores the supply chain changes that may arise from a full or partial transition to AM-based production. Supply chain factors and dimensions that are greatly impacted are initially identified. Management and operational issues pertinent to each factor are discussed next. The interrelationships between these factors are then investigated considering the disruptive impact of AM on supply chain management. Next, the supply chain change matrix is presented for identifying the areas in that supply chains are expected to be impacted. Finally, the current literature and the future of AM-based supply chains are discussed. This chapter is concluded by providing a summary of the findings and insights into AM-based supply chain transition