Digital twins and artificial intelligence have shown promise for improving the robustness, responsiveness, productivity of industrial systems. However, traditional digital twin approaches are often only employed to augment single, static systems optimise a particular process. This article presents paradigm combining modular algorithms dynamically reconfigure manufacturing systems, including layout, process parameters, operation times numerous assets allow system decision-making in response...

Abstract Modern manufacturing has to cope with dynamic and changing circumstances. Market fluctuations, the effects caused by unpredictable material shortages, highly variable product demand, worker availability all require system robustness, flexibility, resilience. To adapt these new requirements, manufacturers should consider investigating, investing in, implementing autonomy. Autonomy is being adopted in multiple industrial contexts, but divergences arise when formalizing concept of...

Despite the recent increase in Virtual Reality (VR) technologies employed for training manufacturing operators on industrial robotic tasks, impact of VR methods compared to traditional ones is still unclear. This paper presents an experimental comparison two approaches, with novice performing same tasks a robot and real robot. The hardware selected ABB IRB 120 robot, HTC Vive head mounted display operate it, besides corresponding model developed Unity. Twenty-four students performed actions...

Augmented (AR) and Mixed Reality (MR) technologies are enablers of the Industry 4.0 paradigm spreading at high speed in production. Main applications include design, training, assembly guidance. The latter is a pressing concern, because process that accounts for biggest portion total cost within Teaching guiding operators to assemble with minimal effort error rates pivotal. This work presents development comprehensive MR application novice following simple instructions. app follows...

Abstract This study, conducted with Northvolt, examines battery system recyclability and disassembly dynamics. It introduces indices for material product recyclability, along time assessment. The goal is to create a design tool streamline the evaluation of disassembly, aiding in designing recyclable serviceable components. These methodologies serve as blueprint enhancing systems' overall sustainability circularity design, presenting base future development alignment environmental economic objectives.

The fourth industrial revolution is based on a few technological advancements that promise an transformation achieving sharing and circular economies. Selecting applying these correctly, i.e., following relevant value drivers, key to the success of manufacturing firms. This results in increasing body knowledge from academy practitioners domain adoption digital technology industry. Given breadth topic, literature deals with both vast amount promising technologies related existing prospect...

Since the introduction of concept learning curves in manufacturing, many articles have been applying model to study phenomena. In assembly, several studies present a curve when an operator is trained over new assembly task; however, comparisons are made between corresponding different training methods, unaware researchers can show misleading results. Often, these neglect either or both stochastic nature produced by operators under experimental conditions, and high correlation samples...

This paper explores the qualification of a digital twin (DT) for mobile manipulator (MOMA) in industrial applications. We discuss development different DT models based on various needs and highlight dependence model accuracy online sensor precision. Limitations DTs MOMA are examined, including challenges respecting qualifiers due to inability incorporate unstructured aspects factory environment. Through case study some examples, we show latent potential limitations contexts. The fidelity,...

This study investigates the barriers to integrating Design for Assembly (DFA) principles within modular product architectures established using Modular Function Deployment (MFD) method -- a critical stage deploying mass customization production while reducing costs. Despite potential benefits of DFA, its application in development remains underutilized, due mix challenges. Through content analysis qualitative data gathered from focus group and interviews with industry experts practitioners,...

The shift towards a mass customization paradigm in production requires the development of new concepts for manufacturing systems. Manufacturing system producers need to address investment gap between large companies and SMEs open market shares generate revenue streams. Cloud technologies offer service models business opportunities: combined with Product Service Systems ideas, they can have significant impact on both customers suppliers. paper proposes concept called Feeding-as-a-Service,...

Research on kinematic calibration of industrial robots has focused applying different measurement instruments into open- and closed-loop approaches optimising configurations through various cost functions. Such ways are either expensive or time-consuming. This work presents essential steps towards realising quasi-static manipulators. approach employs data from a instead static one to identify the model parameters potential considerably reducing phase time during calibration. The focus lies...

Abstract Modern manufacturing has to cope with dynamic and changing circumstances. Market fluctuations, the effects caused by unpredictable material shortages, highly variable product demand, worker availability all require system robustness, flexibility, resilience. To adapt these new requirements, manufacturers should consider investigating, investing in, implementing autonomy. Autonomy is being adopted in multiple industrial contexts, but divergences arise when formalising concept of...