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In practice, supplier actions are often taken to reduce the impact of disruption propagation in the supply chain and ensure continuity of material flows. However, these actions can be very costly. The selection of appropriate supplier actions to reduce the disruption risk is of great interest to both academics and practitioners. However, there is no study on optimally selecting supplier actions to find the best balance between the cost of these actions and the disruption risk. This work investigates a new bi-objective supply chain ripple effect management problem, considering supplier actions. The two objectives are to minimize the manufacturer’s disruption risk and the expected total action cost. To efficiently address the problem, an integrated approach that combines Markov decision process (MDP), dynamic Bayesian network (DBN), and bi-objective nonconvex mixed-integer programming model, along with optimization techniques, is designed. From this study, the following managerial insights can be drawn: (i) for different desired risk reductions, cost-effective supplier actions are different and can be identified by the proposed approach to support decision-making; (ii) the risk decreases with the increase of the total action cost before the risk threshold is achieved, and the disruption risk cannot be smaller than the risk threshold, even if more costly actions are taken; (iii) the costs of supplier actions have no impact on the risk threshold, while the state probability distributions of suppliers and the manufacturer affect the risk threshold. Research article A novel measure of firm-level production outsourcing International Journal of Production Economics, Volume 263, 2023, Article 108940 Show abstract Outsourcing is a critical area of study, as related decisions account for many of the structural changes in supply chains. However, research of the causes and impacts of outsourcing has been constrained by limited measures of outsourcing intensity. Most outsourcing studies are operationalized at an industry level, or rely on data from surveys of small samples that focus on specific outsourced functions and processes. This paper proposes an industry-relative measure of firm-level production outsourcing that is easy to estimate using readily available financial reporting data. We utilize a stochastic production function to estimate the amount of each firm's output that is unaccounted for by their use of capital and labor and partition this residual into firm-specific productivity and outsourcing. Our analysis indicates that the proposed measure is valid and substantially more predictive of actual production outsourcing levels than other measures offered in the literature. This measure promises to better enable researchers to more accurately assess firm-level production outsourcing, as well as aiding their investigations into the many outsourcing antecedents, performance outcomes, and contingency effects proposed in the literature. Research article Knowledge and technology transfer via publications, patents, standards: Exploring the hydrogen technological innovation system Technological Forecasting and Social Change, Volume 187, 2023, Article 122201 Show abstract Clean technologies play a crucial role in reducing greenhouse gas emissions and protecting the climate. Hydrogen is a promising energy carrier and fuel that can be used in many applications. We explore the global hydrogen technological innovation system (TIS) by analyzing the three knowledge and technology transfer channels of publications, patents, and standards. Since the adoption of hydrogen technologies requires trust in their safety, this study specifically also focuses on hydrogen safety. Our results show that general and hydrogen safety research has increased significantly while patenting experienced stagnation. An analysis of the non-patent literature in safety patents shows little recognition of scientific publications. Similarly, publications are underrepresented in the analyzed 75 international hydrogen and fuel cell standards. This limited transfer of knowledge from published research to standards points to the necessity for greater involvement of researchers in standardization. We further derive implications for the hydrogen TIS and recommendations for a better and more impactful alignment of the three transfer channels. Research article Optimal design of agricultural insurance subsidies under the risk of extreme weather International Journal of Production Economics, Volume 263, 2023, Article 108920 Show abstract Extreme weather events can pose a significant threat to the agricultural economy, and agricultural insurance serves as an effective tool to mitigate the risk. Motivated by the Chinese government agricultural policies, this study develops two theoretical models to analyze the full-cost insurance and the income insurance, and how should governments design insurance subsidies. Our results show that the government's optimal insurance subsidies under different insurance formats are closely related to the yield uncertainty and the production efficiency under the risk of extreme weather. When the production efficiency of the farmers is low, regardless of the subsidy level, the sufficient supply of the agricultural products can be guaranteed under full-cost insurance. However, when production efficiency is high, a lower subsidy level should be set under full-cost insurance, while a higher subsidy level is required under income insurance. Moreover, we find the optimal levels of the government insurance subsidies under different insurance formats may not always align with the interests of farmers. In the extension, we show that the government can maximize social welfare by ensuring the stable supply of agricultural products. Research article Comparing approaches for a multi-level planning problem in a mining industry International Journal of Production Economics, Volume 265, 2023, Article 108999 Show abstract This research investigates a global planning problem that integrates production, storage, and transportation decisions. The studied problem occurs in a leading mining industry. The logistics and production system is a capacitated multi-site, multi-level, and multi-product network where products are manufactured, stored, and transported, with time windows constraints, via a single railway to final stocks. To solve this problem, we propose an integrated mathematical model and three heuristic procedures, namely, relax and fix, top-down, and bottom-up. We generate several realistic instances and compare the performance of the heuristics to the exact method. The computational experiments show that the relax and fix heuristic allows good-quality solutions regardless of the considered instance. The top-down and bottom-up approaches reveal some counterintuitive managerial insights related to subsystem trade-offs and interactions. Finally, we demonstrate the high impact of train transport on the performance of the global problem. View full text © 2023 Elsevier B.V. All rights reserved. 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