Digital Lean Manufacturing and its Emerging Practices
Description: Digital technologies have given rise to a new era of “digital lean manufacturing” practices, which extends the lean philosophy to the “digital world”. This special track aims to attract papers exploring the new “digital frontier” for lean thinking and its emerging practices in the lean manufacturing domain. In this sense, we define the Digital Lean paradigm as the convergence between the principles and practices of lean thinking and the technology-driven vision of Industry 4.0 in order to support digital transformation initiatives at the shop-floor, combining different digital technologies with lean methods and tools. Furthermore, Digital Lean Manufacturing is defined as a digital lean strategy that builds on new data acquisition, data integration, data processing and data visualization capabilities to create different descriptive, predictive and prescriptive analytics applications to detect, fix, predict and prevent unstable process parameters and/or avoid quality issues inside defined tolerance ranges that may lead to any type of waste within the cyber- and physical- worlds towards higher levels of operational excellence and customer satisfaction1-2. This track welcomes research contributions on, but not limited to, digital waste, cyber-physical waste, digital quality management systems, digital Kanban systems, Jidoka 4.0 systems, digital poka-yokes, etc.
- Daryl Powell, SINTEF, Norway, firstname.lastname@example.org
- David Romero, Tecnológico de Monterrey, Mexico, email@example.com
- Paolo Gaiardelli, University of Bergamo, Italy firstname.lastname@example.org
- Thorsten Wuest, West Virginia University, USA, email@example.com
Operations Management in Engineer-to-Order Manufacturing
Description: Engineer-To-Order (ETO) is a manufacturing approach where design and engineering activities are included in the order fulfilment process. ETO manufacturing is used when engineering specifications of products are not known in detail upon receipt of customer order, and is common in mechanical industries, construction, shipbuilding, off shore supplier industries, and other types of project-based manufacturing, industries typically facing several unique challenges as the products are often one-of-a-kind and/or highly customized. This track welcomes research contributions on operations management enabling effective ETO manufacturing, including Industry 4.0 technologies, supply chain management, lean operations, planning and control, production strategies and product platforms.
- Erlend Alfnes, Norwegian University of Science and Technology, Norway, firstname.lastname@example.org (contact person)
- Martin Rudberg, Linköping University, Sweden, email@example.com
Digital Transformation Approaches in Production Management
Description: Digital Transformation has disrupted every domain of production management, from products design and engineering to innovations in materials, manufacturing processes and production planning and control approaches. Digital Technologies are influencing all aspects of design, engineering and manufacturing at the emerging smart factories under the promise of being able to support manufacturing enterprises with the challenge of mass-customization and personalization demands at a competitive cost compared to the mass-production costs with shortest possible development time and production time. This market challenge requires production systems to change from more labour-intensive processes to information technology-enabled mechatronic processes. This special session aims to attract practice-oriented papers and real case studies trying to answer the questions of (i) What is the reality of digital transformation in today’s manufacturing enterprises? (ii) Which are the approaches, models, technologies and tools used today for their digital transformations? What are the challenges that manufacturing enterprises are facing when digitally transforming their production systems?
- Bahrudin Hrnjica, Faculty of Technical Sciences, University of Bihac.Bosnia & Herzegovina, firstname.lastname@example.org
- Egon Lüftenegger, IT & Business Informatics, CAMPUS 02 University of Applied Sciences, Austria, email@example.com
- Ioan Turcin, Automation Technologies, CAMPUS 02 University of Applied Science, Austria, firstname.lastname@example.org
- Selver Softic, IT& Business Informatics, CAMPUS 02 University of Applied Sciences, Austria, email@example.com
- Vlad Bocanet, Faculty of Machine Building, Technical University Cluj-Napoca, Romania, firstname.lastname@example.org