Quantitative models for sustainable supply chain management: Developments and directions M Brandenburg, K Govindan, J Sarkis, S Seuring European journal of operational research 233 (2), 299-312, 2014 | 1482 | 2014 |
System dynamics modeling for sustainable supply chain management: A literature review and systems thinking approach T Rebs, M Brandenburg, S Seuring Journal of cleaner production 208, 1265-1280, 2019 | 312 | 2019 |
Sustainable supply chain management: A modeling perspective M Brandenburg, T Rebs Annals of Operations Research 229, 213-252, 2015 | 258 | 2015 |
Low carbon supply chain configuration for a new product–a goal programming approach M Brandenburg International Journal of Production Research 53 (21), 6588-6610, 2015 | 113 | 2015 |
Supply chain efficiency, value creation and the economic crisis–An empirical assessment of the European automotive industry 2002–2010 M Brandenburg International Journal of Production Economics 171, 321-335, 2016 | 85 | 2016 |
Integrating collaborative planning and supply chain optimization for the chemical process industry (I)—methodology G Berning, M Brandenburg, K Gürsoy, JS Kussi, V Mehta, FJ Tölle Computers & chemical engineering 28 (6-7), 913-927, 2004 | 81 | 2004 |
Stakeholder influences and risks in sustainable supply chain management: a comparison of qualitative and quantitative studies T Rebs, M Brandenburg, S Seuring, M Stohler Business Research 11, 197-237, 2018 | 76 | 2018 |
An integrated system solution for supply chain optimization in the chemical process industry G Berning, M Brandenburg, K Gürsoy, V Mehta, FJ Tölle OR spectrum 24, 371-401, 2002 | 71 | 2002 |
Sustainable supply chain management—A conceptual framework and future research perspectives M Brandenburg, T Gruchmann, N Oelze Sustainability 11 (24), 7239, 2019 | 65 | 2019 |
Connecting additive manufacturing to circular economy implementation strategies: Links, contingencies and causal loops BD Hettiarachchi, M Brandenburg, S Seuring International Journal of Production Economics 246, 108414, 2022 | 61 | 2022 |
A sustainable aggregate production planning model for the chemical process industry GJ Hahn, M Brandenburg Computers & operations research 94, 154-168, 2018 | 52 | 2018 |
Quantitative models for value-based supply chain management M Brandenburg Supply Management Research: Aktuelle Forschungsergebnisse 2013, 149-172, 2013 | 48 | 2013 |
Impacts of stakeholder influences and dynamic capabilities on the sustainability performance of supply chains: A system dynamics model T Rebs, D Thiel, M Brandenburg, S Seuring Journal of Business Economics 89 (7), 893-926, 2019 | 44 | 2019 |
Transforming chemical supply chains toward sustainability—A practice-based view J Brömer, M Brandenburg, S Gold Journal of Cleaner Production 236, 117701, 2019 | 43 | 2019 |
Eco-Innovation and the Development of Business Models SG Azevedo, M Brandenburg, H Carvalho, V Cruz-Machado Springer International Publishing, Cham 32, 10-17, 2014 | 41* | 2014 |
Valuing supply chain performance within and across manufacturing industries: A DEA-based approach GJ Hahn, M Brandenburg, J Becker International Journal of Production Economics 240, 108203, 2021 | 40 | 2021 |
Impacts of supply chain management on company value: benchmarking companies from the fast moving consumer goods industry M Brandenburg, S Seuring Logistics Research 3, 233-248, 2011 | 38 | 2011 |
Motivating factors for implementing apparel certification schemes—a sustainable supply chain management perspective N Oelze, T Gruchmann, M Brandenburg Sustainability 12 (12), 4823, 2020 | 36 | 2020 |
Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis BD Hettiarachchi, S Seuring, M Brandenburg Operations Management Research 15 (3), 858-878, 2022 | 34 | 2022 |
A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects M Brandenburg Omega 70, 58-76, 2017 | 31 | 2017 |