Life cycle assessment (LCA) is used frequently as a decision support tool for evaluating different design choices for products based on their environmental impacts. A life cycle usually comprises several phases of varying timespans. The amount of emissions generated from different life cycle phases of a product could be significantly different from one another. In conventional LCA, the emissions generated from the life cycle phases of a product are aggregated at the inventory analysis stage, which is then used as an input for life cycle impact assessment. However, when the emissions are aggregated, the temporal variability of inventory data is ignored, which may result in inaccurate environmental impact assessment. Besides, the conventional LCA does not consider the environmental impact of circular products with multiple use cycles. It poses difficulties in identifying the hotspots of emission-intensive activities with the potential to mislead conclusions and implications for both practice and policy. To address this issue and to analyze the embedded temporal variations in inventory data in a CE context, the paper proposes calculating the emission intensity for each life cycle phase. It is argued that calculating and comparing emission intensity, based on the timespan and amount of emissions for individual life cycle phases, at the inventory analysis stage of LCA offers a complementary approach to the traditional aggregate emission-based LCA approach. In a circular scenario, it helps to identify significant issues during different life cycle phases and the relevant environmental performance improvement opportunities through product, business model, and supply chain design.

This research focuses on responsiveness in high variety manufacturing environments. To achieve it, the article proposes to develop Dynamic Response Capabilities (DRCs) of the manufacturing system defined as the abilities to readjust the planned operating parameters of workload, capacity, and lead time, in the wake of disturbances. To inform their development, built on the Workload Control theory, a routine-based framework is proposed. The framework supports an integrated approach for the implementation of adaptive decision-making routines for workload, capacity, and lead time readjustments at different stages in the order fulfilment process. Findings from two empirical cases show the appropriateness of the framework to develop and utilise DRCs in different settings of disturbances. Results of a simulation study, with one of the case companies, also shows the effectiveness of the framework to drive performance improvements in presence of recurring disturbances leading to demand variability.

Plastic waste poses a critical challenge in the healthcare sector due to its predominant reliance on a linear “make-use-dispose” model, where plastics are typically incinerated or landfilled. This study examines Swedish healthcare waste management practices, encompassing Swedish and EU regulatory frameworks, hospital protocols, disinfection methods, and recycling processes. A key barrier to recycling healthcare plastic waste (HCPW) is the uncertainty surrounding effective decontamination. To overcome this, the paper proposes a circular solution involving on-site microwave-assisted disinfection and shredding, followed by chemical recycling through pyrolysis. This approach considers operational, legal, and technological landscapes and underscores the need for a multidisciplinary solution to enable the transition. This paper also presents a stakeholder collaboration and value capture matrix, identifying the shared value in collaboration among key stakeholders, including hospitals and healthcare service providers, on-site disinfection machine manufacturers, waste management firms, and chemical recycling companies, to advance recycling and foster a circular economy for HCPW.

Circular supply chains (CSCs) depend on enhanced supply chain visibility (SCV) to track and manage resource flows and thereby enable efficient decision‐making. Despite confronting silo mentalities, fragmented information, technological barriers, resistance to change, and a lack of standardization, data sharing remains crucial for SCV and circularity. In this study, following the Delphi method, 22 experts explored SCV for circularity, identified 11 circular economy ( CE ) strategies and 16 critical data elements for implementing CSCs, and assessed data accessibility and the willingness to share data among supply chain actors. Findings show that the experts especially prioritized CE strategies and data elements that support existing business models and forward supply chains. Although those data elements are critical for SCV, they are primarily used for planning internal operations and thus not readily shared with external partners. Such insights contribute to empirical evidence and managerial perspectives and can also help managers to plan SCV tailored to CE strategies.