Purpose: This paper seeks to identify information enabling and supporting production ramp‐up processes, by exploring critical events and the role of information in such events.Design/methodology/approach: The research approach was based on empirical and theoretical investigations. A selection of 30 events, considered the most critical for production ramp‐up realization and/or performance at one Swedish automotive company, were categorized and constituted the base for the analysis which focused information types and sources enabling event handling.Findings: Information enabling event handling is a balanced combination of problem and domain information, regardless of event category. However, a differentiation concerning preference and usage of information types between experienced and less experienced personnel is identified. Problem‐solving information has the character of pragmatic information, composed of complementary parts of confirmation and novelty in terms of domain and problem information. The preferred information source in all event categories was “other people”.Research limitations/implications: The study focuses on the application of information in relation to critical events during production ramp‐up. General information theory is not addressed in depth.Practical implications: Information type and information source are not dependent on certain event categories, which allows a general information strategy enabling production ramp‐up. To facilitate production ramp‐up and event handling managers and key personnel need to apply a holistic perspective and need to be updated on domain information of the products, the equipment, and the production process during production ramp‐up.Originality/value: The originality is in the focus and role of information to achieve an efficient production ramp‐up performance. A supporting model is developed which describes the structure of pragmatic information for personnel with various levels of experience, regardless of event category.

The electric vehicle market is expected to grow substantially in the coming years, which puts new requirements on the end-of-life phase and on the recycling systems. To a larger extent, the environmental footprint from these vehicles is related to raw material extraction and production, and, consequently, a material- and energy-efficient 3R system (reuse, remanufacturing, recycling) is urgently needed. The ability to understand and model the design and development of such a system therefore becomes important. This study contributes to this by identifying factors that affect 3R system design and performance, relating these factors to the various actors and processes of the system and categorising them according to time from implementation to impact. The above is achieved by applying a PEST analysis (political, economic, social and technological factors), differentiating between political, economic, social and technological factors. Data were gathered from literature, by interviews and by a number of workshops in the automotive industry and the 3R system and observations at meetings, etc. The study confirms some previous results on how vehicle battery 3R systems work and adds knowledge about the influencing factors, especially the timeframes and dynamics of the system, necessary for modelling the system and the influencing factors. For practitioners, the results indicate how to use appropriate models and which factors are most relevant to them.

New firms face challenges regarding pace, time, scalability, and societal changes, requiring increased attention to sustainable work prerequisites. However, this dimension of social sustainability is less studied than economic and ecological sustainability. This paper addresses how sustainable work is considered in an entrepreneurial startup carrying out a greenfield project within a new industrial domain. Data were collected for 30 months in a longitudinal case study. The study shows that (i) working condition challenges were drivers for innovative solution-oriented approaches with potential for rapid decision-making, flexibility, and to attract, recruit, retain, and develop talented people; (ii) a strategic focus on sustainability and collective contribution to a purpose-driven vision were important enablers for taking steps of operationalising sustainable work dimensions during the startup; and (iii) the firm’s early stakeholder collaboration addressing working conditions was an important means for design for sustainable work and their role as agents of sustainable work. Research implications are how sustainable work can be considered during startups and through stakeholder collaboration. Furthermore, the case contributes to increased knowledge of how the three pillars of sustainability—economic, ecological, and social sustainability—are interrelated and are suggested to be continuously considered over time, specifically during rapid major changes.

Complexcity Index (CXI) is a method developed to help manufacturing companies to describe complexity as experienced and to assist in reducing the effects it has on operator performance. The method is targeting the perceived complexity and was tested at Volvo Cars Corporation. Reproducibility of the method could be seen between respondents and was considered a valuable tool for visualizing problem-areas at the stations. It is suggested that objective data could be one way to identify which stations should be tested in-depth with the CXI method, and that CXI could be used for suggesting improvements or appropriate support tools.