2019
DOI: 10.1016/j.spc.2019.08.006
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Special issue: Decision support for sustainable and resilient systems

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Cited by 5 publications
(4 citation statements)
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“…Tan et al. [22] discuss the various decision support systems for developing a resilient production system. Ivanov [7] proposed a prediction model for measuring the impact of a pandemic on supply chain network and manufacturing resilience.…”
Section: Pandemic Control and Production Systemmentioning
confidence: 99%
“…Tan et al. [22] discuss the various decision support systems for developing a resilient production system. Ivanov [7] proposed a prediction model for measuring the impact of a pandemic on supply chain network and manufacturing resilience.…”
Section: Pandemic Control and Production Systemmentioning
confidence: 99%
“…Thus, further adaptations of the model could be made in regard to the actual switching to lignin (e.g., introducing entry barriers or by refining estimations concerning the extent or nature of expenditures). The perspectives of various affected actor groups (e.g., company representatives, societal actors, and land owners)—including their different perceptions, needs, and (partly conflicting) goals—need to be better understood and ecological aspects need to be considered more strongly for the biorefinery innovation diffusion pathways to actually contribute to sustainable development (e.g., Dieken et al, 2021; Mustalahti, 2018; Näyhä, 2019; Tan et al, 2019). Closer examination of such issues could include analyzing the various preconditions faced by individual actors (ability/willingness) and network structures representing the embedding of actors in (external) social structures (e.g., Bohlmann et al, 2010; Kiesling et al, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…This could be supported by participative and collaborative approaches using BioPID as a facilitator (e.g., Yang et al, 2022). On the system level, new and radical biorefinery innovation pathways require active forms of collaboration (ideally based on shared values), multidisciplinary, multi‐objective and participatory approaches, more efficient (environmental) management practices, and improved and more transparent decision‐making processes (Dieken et al, 2021; Mustalahti, 2018; Näyhä, 2019; Tan et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…Hence, the post-pandemic era also created opportunities for economic and social sustainability (Marco et al , 2020), as a sufficient buffer plan could only solve the production limitations (Cohen, 2020), open opportunities for sustainable business and increase sustainable production resilience (Ivanov, 2020). Tan et al (2019) highlighted a variety of decision support systems for developing a robust production system, whereas Ivanov (2020) offered a forecasting model for analyzing the effect of an pandemic on the supply chain system and industrial adaptability.…”
Section: Introductionmentioning
confidence: 99%