To solve complex problems, researchers are increasingly working in large, integrated research pro... more To solve complex problems, researchers are increasingly working in large, integrated research programmes. Integration of projects within a single programme rather than supporting a range of individual, more autonomous projects, is supposed to lead to several benefits, including: creating and enhancing synergies amongst projects, improving collaboration and knowledge exchanges amongst researchers from different disciplines, realizing efficiency gains, and generating a higher return on investments in R&D. However, often these advantages are insufficiently realized in practice and large-scale integrated programs instead incur high overhead costs, frustrate researchers, and realize insufficient integration and collaboration. Why do integrated programmes sometimes fail to realize their lofty ambitions? In the present paper, we use the literature on governance, management studies, and organizational economics to analyse several key problems plaguing integrated programmes. We argue that these problems can be linked to the implementation of programme management systems and coordination mechanisms that are poorly aligned with the unique characteristics of integrated programmes. We develop guidelines for funding agencies and programme managers to implement systems and mechanisms that are a better fit for purpose and that enhance collaboration.
Transdisciplinary engineering (TE) is an emerging field that extends and evolves the initial basi... more Transdisciplinary engineering (TE) is an emerging field that extends and evolves the initial basic concepts known as concurrent engineering (CE). While CE concentrates on enterprise collaboration, from integrating people and processes to very specific complete multi/inter/transdisciplinary solutions, TE combines natural sciences, applied sciences, social sciences and humanities to achieve a higher level of comprehension and awareness of the context in which industrial products, processes, systems or services will be implemented and are experienced by users (Borsato et al., 2016)
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
The organisation of information infrastructures in pork chains has become an important aspect of ... more The organisation of information infrastructures in pork chains has become an important aspect of producing competitive and safe pork and pork products. Many European pork chains have a backlog in this field, since their information infrastructures are fragmented ...
Over the last decade, transparency schemes have started to undergo a radical transformation. This... more Over the last decade, transparency schemes have started to undergo a radical transformation. This transformation is driven by advancements in cloud computing, cryptography and automated measurement technology, which have made it possible to develop shared information management systems (SIMS). These SIMS form the backbone of the latest, state-of-the-art in the transparency space: hyper-transparency schemes. These new transparency schemes and associated SIMS offer companies, both small and large, the opportunity to redesign their supply chains and to establish more direct relationships with their second- and third-tier trading partners, as well as with the consumer. However, the companies also face various challenges in implementing and operating such hyper-transparency schemes. There are legitimate concerns about privacy, ownership and access to data and, related to this, who controls the SIMS. The present paper discusses the ongoing development of a SIMS. The objective of this SIMS...
The concept of concurrent engineering (CE) was first developed in the 1980s. Now often referred t... more The concept of concurrent engineering (CE) was first developed in the 1980s. Now often referred to as transdiciplinary engineering, it is based on the idea that different phases of a product life cycle should be conducted concurrently and initiated as early as possible within the Product Creation Process (PCP). The main goal of CE is to increase the efficiency and effectiveness of the PCP and reduce errors in later phases, as well as incorporating considerations \u2013 including environmental implications \u2013 for the full lifecycle of the product. It has become a substantive methodology in many industries, and has also been adopted in the development of new services and service support. This book presents the proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering, held in Modena, Italy, in July 2018. This international conference attracts researchers, industry experts, students, and government representatives interested in recent transdisciplinary engineering research, advancements and applications. The book contains 120 peer-reviewed papers, selected from 259 submissions from all continents of the world, ranging from the theoretical and conceptual to papers addressing industrial best practice, and is divided into 11 sections reflecting the themes addressed in the conference program and addressing topics as diverse as industry 4.0 and smart manufacturing; human-centered design; modeling, simulation and virtual design; and knowledge and data management among others. With an overview of the latest research results, product creation processes and related methodologies, this book will be of interest to researchers, design practitioners and educators alike
Innovative products and services are key success factors for the manufacturing industry. Developm... more Innovative products and services are key success factors for the manufacturing industry. Development of such products and services usually takes place in partnerships in which the original equipment manufacturer (OEM) distributes the development of new products to many locations in several countries across the world. Suppliers, especially first-tier suppliers (FTSs) are involved in the development process as early as possible, because they have knowledge that is strategically important for developing the new product and services. Historically, the OEM-supplier relationship is characterized by a sequential interaction whereby the OEM gives product and production requirements to the supplier and the supplier delivers his product or service to the OEM. However, collaboration between FTS and OEM is essential to fruitfully use the knowledge of the FTS, anticipate potential downstream errors, and reduce costs and risks. The paper presents recent developments in this part of the supply cha...
International Journal of Computer Integrated Manufacturing, 2022
Transdisciplinary Engineering (TE) is an emerging area of research able to evolve traditional eng... more Transdisciplinary Engineering (TE) is an emerging area of research able to evolve traditional engineering approaches by transcending the technical disciplines. It can be successfully applied in different fields, by combining natural sciences, applied sciences, social sciences, and humanities to achieve a higher level of comprehension and awareness of the context in which industrial products, processes, systems, and services will be implemented and experienced by users (Borsato et al. 2016). Research in TE also incorporates social science methodologies to acquire knowledge about users and context, and solve ill-defined, socially relevant problems. Based on recent evidence, it can be stated that numerous engineering problems can be characterised as ill-defined and socially relevant, too (Wognum et al. 2019). Industry 4.0 is today a well-known paradigm that pushes the vision of a smart factory based on intelligent manufacturing. The intelligence of machines is mainly enabled by networking production systems and real-time process control via cyber-physical systems (CPSs) and Internet-of-Things (IoT) to have greater productivity through resource efficiency. However, a lot of aspects need to be included to fully achieve this challenging objective, from selection of sensors and smart components to efficient and feasible data collection, proper information system architecture to reliable data analysis, to knowledge representation and data requirements definition, until production line management, also including the need for people with the right type of knowledge and interaction with humans. Indeed, intelligent manufacturing is not just about machines, as we can think in a general way, but also about people and product-process knowledge management, merging the physical and digital worlds (Zhong et al. 2017). As a matter of fact, creating a smart factory is a complex problem. To support a fully sustainable development, based on resource-efficient production systems, promoting safety, innovation, and economy, smart factories need to exploit digital trends as well as users’ active participatory and collaborative processes (Peruzzini et al. 2020). A vertical networking of smart production systems is required as well as a horizontal networking of smart logistics, production, marketing and smart services, able to generate global value-creation networks, including integration of business partners and customers, and new business and cooperation models across companies and countries. In smart factories, machines are becoming more and more digitised and technologically advanced. In this context, new approaches and methodologies are required to bridge the gaps between technical and social sciences. TE approaches can help to bring the intelligence into the shop floor to provide factories with flexible and adaptive behaviours (e.g. self-steering or continuous improvement teams). Moreover, social sciences are necessary to include people from practice and relate their needs and the system features at different levels (considering the users, the context, the machine, and the interface). Next to different methodologies, novel technologies like virtual tools are necessary to anticipate critical conditions and to envisage possible solutions. In addition, proper training is needed for people to understand the new processes and to be able to work in the new environment and collaborate with others. The new mindset needs to be incorporated on all levels in the organisation, from top management to the work floor. This special issue is aligned with these developments and challenges. It includes invited papers selected from contributions to the 27 International Conference on Transdisciplinary Engineering held online from 1 to 10 July 2020, hosted by the Warsaw University of technology, Poland (Pokojski et al. 2020) and supported by the International Society for Transdisciplinary Engineering (ISTE). The authors come from traditional industrial countries, such as Italy, Germany and Poland in Europe, and more recently industrialized countries INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 2022, VOL. 35, NO. 1, 1–3 https://doi.org/10.1080/0951192X.2022.2028369
To solve complex problems, researchers are increasingly working in large, integrated research pro... more To solve complex problems, researchers are increasingly working in large, integrated research programmes. Integration of projects within a single programme rather than supporting a range of individual, more autonomous projects, is supposed to lead to several benefits, including: creating and enhancing synergies amongst projects, improving collaboration and knowledge exchanges amongst researchers from different disciplines, realizing efficiency gains, and generating a higher return on investments in R&D. However, often these advantages are insufficiently realized in practice and large-scale integrated programs instead incur high overhead costs, frustrate researchers, and realize insufficient integration and collaboration. Why do integrated programmes sometimes fail to realize their lofty ambitions? In the present paper, we use the literature on governance, management studies, and organizational economics to analyse several key problems plaguing integrated programmes. We argue that these problems can be linked to the implementation of programme management systems and coordination mechanisms that are poorly aligned with the unique characteristics of integrated programmes. We develop guidelines for funding agencies and programme managers to implement systems and mechanisms that are a better fit for purpose and that enhance collaboration.
Transdisciplinary engineering (TE) is an emerging field that extends and evolves the initial basi... more Transdisciplinary engineering (TE) is an emerging field that extends and evolves the initial basic concepts known as concurrent engineering (CE). While CE concentrates on enterprise collaboration, from integrating people and processes to very specific complete multi/inter/transdisciplinary solutions, TE combines natural sciences, applied sciences, social sciences and humanities to achieve a higher level of comprehension and awareness of the context in which industrial products, processes, systems or services will be implemented and are experienced by users (Borsato et al., 2016)
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
The organisation of information infrastructures in pork chains has become an important aspect of ... more The organisation of information infrastructures in pork chains has become an important aspect of producing competitive and safe pork and pork products. Many European pork chains have a backlog in this field, since their information infrastructures are fragmented ...
Over the last decade, transparency schemes have started to undergo a radical transformation. This... more Over the last decade, transparency schemes have started to undergo a radical transformation. This transformation is driven by advancements in cloud computing, cryptography and automated measurement technology, which have made it possible to develop shared information management systems (SIMS). These SIMS form the backbone of the latest, state-of-the-art in the transparency space: hyper-transparency schemes. These new transparency schemes and associated SIMS offer companies, both small and large, the opportunity to redesign their supply chains and to establish more direct relationships with their second- and third-tier trading partners, as well as with the consumer. However, the companies also face various challenges in implementing and operating such hyper-transparency schemes. There are legitimate concerns about privacy, ownership and access to data and, related to this, who controls the SIMS. The present paper discusses the ongoing development of a SIMS. The objective of this SIMS...
The concept of concurrent engineering (CE) was first developed in the 1980s. Now often referred t... more The concept of concurrent engineering (CE) was first developed in the 1980s. Now often referred to as transdiciplinary engineering, it is based on the idea that different phases of a product life cycle should be conducted concurrently and initiated as early as possible within the Product Creation Process (PCP). The main goal of CE is to increase the efficiency and effectiveness of the PCP and reduce errors in later phases, as well as incorporating considerations \u2013 including environmental implications \u2013 for the full lifecycle of the product. It has become a substantive methodology in many industries, and has also been adopted in the development of new services and service support. This book presents the proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering, held in Modena, Italy, in July 2018. This international conference attracts researchers, industry experts, students, and government representatives interested in recent transdisciplinary engineering research, advancements and applications. The book contains 120 peer-reviewed papers, selected from 259 submissions from all continents of the world, ranging from the theoretical and conceptual to papers addressing industrial best practice, and is divided into 11 sections reflecting the themes addressed in the conference program and addressing topics as diverse as industry 4.0 and smart manufacturing; human-centered design; modeling, simulation and virtual design; and knowledge and data management among others. With an overview of the latest research results, product creation processes and related methodologies, this book will be of interest to researchers, design practitioners and educators alike
Innovative products and services are key success factors for the manufacturing industry. Developm... more Innovative products and services are key success factors for the manufacturing industry. Development of such products and services usually takes place in partnerships in which the original equipment manufacturer (OEM) distributes the development of new products to many locations in several countries across the world. Suppliers, especially first-tier suppliers (FTSs) are involved in the development process as early as possible, because they have knowledge that is strategically important for developing the new product and services. Historically, the OEM-supplier relationship is characterized by a sequential interaction whereby the OEM gives product and production requirements to the supplier and the supplier delivers his product or service to the OEM. However, collaboration between FTS and OEM is essential to fruitfully use the knowledge of the FTS, anticipate potential downstream errors, and reduce costs and risks. The paper presents recent developments in this part of the supply cha...
International Journal of Computer Integrated Manufacturing, 2022
Transdisciplinary Engineering (TE) is an emerging area of research able to evolve traditional eng... more Transdisciplinary Engineering (TE) is an emerging area of research able to evolve traditional engineering approaches by transcending the technical disciplines. It can be successfully applied in different fields, by combining natural sciences, applied sciences, social sciences, and humanities to achieve a higher level of comprehension and awareness of the context in which industrial products, processes, systems, and services will be implemented and experienced by users (Borsato et al. 2016). Research in TE also incorporates social science methodologies to acquire knowledge about users and context, and solve ill-defined, socially relevant problems. Based on recent evidence, it can be stated that numerous engineering problems can be characterised as ill-defined and socially relevant, too (Wognum et al. 2019). Industry 4.0 is today a well-known paradigm that pushes the vision of a smart factory based on intelligent manufacturing. The intelligence of machines is mainly enabled by networking production systems and real-time process control via cyber-physical systems (CPSs) and Internet-of-Things (IoT) to have greater productivity through resource efficiency. However, a lot of aspects need to be included to fully achieve this challenging objective, from selection of sensors and smart components to efficient and feasible data collection, proper information system architecture to reliable data analysis, to knowledge representation and data requirements definition, until production line management, also including the need for people with the right type of knowledge and interaction with humans. Indeed, intelligent manufacturing is not just about machines, as we can think in a general way, but also about people and product-process knowledge management, merging the physical and digital worlds (Zhong et al. 2017). As a matter of fact, creating a smart factory is a complex problem. To support a fully sustainable development, based on resource-efficient production systems, promoting safety, innovation, and economy, smart factories need to exploit digital trends as well as users’ active participatory and collaborative processes (Peruzzini et al. 2020). A vertical networking of smart production systems is required as well as a horizontal networking of smart logistics, production, marketing and smart services, able to generate global value-creation networks, including integration of business partners and customers, and new business and cooperation models across companies and countries. In smart factories, machines are becoming more and more digitised and technologically advanced. In this context, new approaches and methodologies are required to bridge the gaps between technical and social sciences. TE approaches can help to bring the intelligence into the shop floor to provide factories with flexible and adaptive behaviours (e.g. self-steering or continuous improvement teams). Moreover, social sciences are necessary to include people from practice and relate their needs and the system features at different levels (considering the users, the context, the machine, and the interface). Next to different methodologies, novel technologies like virtual tools are necessary to anticipate critical conditions and to envisage possible solutions. In addition, proper training is needed for people to understand the new processes and to be able to work in the new environment and collaborate with others. The new mindset needs to be incorporated on all levels in the organisation, from top management to the work floor. This special issue is aligned with these developments and challenges. It includes invited papers selected from contributions to the 27 International Conference on Transdisciplinary Engineering held online from 1 to 10 July 2020, hosted by the Warsaw University of technology, Poland (Pokojski et al. 2020) and supported by the International Society for Transdisciplinary Engineering (ISTE). The authors come from traditional industrial countries, such as Italy, Germany and Poland in Europe, and more recently industrialized countries INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 2022, VOL. 35, NO. 1, 1–3 https://doi.org/10.1080/0951192X.2022.2028369
Abstract As a subgroup within the Esprit Working Group 21108, Integration in Manufacturing and Be... more Abstract As a subgroup within the Esprit Working Group 21108, Integration in Manufacturing and Beyond (IiMB), the authors are concerned with the management of product related data and knowledge in the extended enterprise considering the paradigm of the learning organisation.
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