eri, J. S. M., Felderer, M. ., Mendes, E. ., & Petersen, K. . (2019). Reasoning about Research Quality Alignment in Software Engineering. Journal of Systems and Software.
Thomsen, F. ., Ebel, T. ., & Willumeit-Römer, R. . (2019). Simulation of neck growth and shrinkage for realistic temperature profiles – Determination of diffusion coefficients in a practical oriented procedure. Scripta Materialia, 168, 6. http://doi.org/10.1016/j.scriptamat.2019.04.034
eri, J. S. M., Petersen, K. ., & Mendes, E. . (2019). Cerse-catalog for empirical research in software engineering: A systematic mapping study. Information and Software Technology, 105, 117–149.
Brandenburg, M. ., Gruchmann, T. ., & Oelze, N. . (2019). Sustainable Supply Chain Management—A Conceptual Framework and Future Research Perspectives. Sustainability, 11. http://doi.org/10.3390/su11247239
Abstract
Sustainable operations and sustainable supply chain management (SSCM) have become a highly relevant topic for scientific research and management, as well as policy-making practice. Despite surging growth in extant research, the need for theoretical and conceptual substantiation persists, and large opportunities for further research remain unexploited. This paper responds to the need for a conceptual foundation and, therefore, aims at providing a structured agenda for future research areas in SSCM. Based on an abductive reasoning approach, SSCM constructs and concepts are gathered from existing literature and recombined into a comprehensive conceptual SSCM framework. Areas and directions for future SSCM research, as suggested in earlier studies, are summarized, positioned in the framework, and outlined to stimulate further SSCM research activities. To overcome the lack of holistic research in the field, sophisticated techniques and integrated systems to support decision-making are required to tackle related issues’ complexity. Therefore, this paper’s contribution lies in the synthesis of state-of-the-art literature to provide a more comprehensive view of SSCM. Researchers may find promising recommendations and a suitable foundation for future studies, while practitioners may find helpful orientation and guidance for decision- and policy-making.
Gloe, A. ., Jauch, C. ., Craciun, B. ., & Winkelmann, J. . (2019). Continuous provision of synthetic inertia with wind turbines: implications for the wind turbine and for the grid. IET Renewable Power Generation, 13(5), 8. http://doi.org/10.1049/iet-rpg.2018.5263
eri, J. S. M., Petersen, K. ., & Mendes, E. . (2019). Corrigendum to “CERSE-Catalog for empirical research in software engineering: A Systematic mapping study”[Information and Software Technology 105 (2019) 117—149]. Information and Software Technology, 190–190.
Fan, B. ., Parrot, D. ., Blümel M. ., Labes, A. ., & Tasdemir, D. . (2019). Influence of OSMAC-Based Cultivation in Metabolome and Anticancer Activity of Fungi Associated with the Brown Alga Fucus vesiculosus, Online-Ressource. http://doi.org/10.3390/md17010067
Rebs, T. ., Brandenburg, M. ., & Seuring, S. . (2019). System dynamics modeling for sustainable supply chain management: A literature review and systems thinking approach. Journal of Cleaner Production, 208, 1265–1280. http://doi.org/10.1016/j.jclepro.2018.10.100
Abstract
Globalized economic systems involve complex supply chains (SCs) where environmental and social impacts are to be managed in alignment with diverse stakeholder expectations and to mitigate sustainability-related risks. Quantitative modeling approaches for sustainable supply chain management (SSCM) have gained increasing attention. Compared to analytical models and mathematical programming, simulation methods in SSCM are underrepresented, although system dynamics (SD) modeling is suitable to simulate and examine complex and dynamic systems and to support long-term, strategic decision-making. This paper provides a review of SSCM-related SD models, systematizes SSCM from a systems thinking perspective in a conceptual framework, and proposes guidelines for SD modeling in SSCM research. A content analysis of related literature examines SD models for forward, reverse, and closed-loop SCs that include environmental or social aspects of sustainability. It is found that a majority of models deals with macroscopic levels of analysis while models for intra- and inter-organizational SCs are less prominent. SSCM-related SD models integrate environmental and social sustainability metrics, governmental pressures and incentives or customer expectations, but uncertainties and risks are seldom modeled. Inferences for future SD modeling in SSCM are derived from this review to address strengths and shortcomings of extant SD modeling approaches for SSCM. SSCM-related constructs, model validation and the need of hybrid models, which integrate different simulation, optimization, or multi-criteria decision-making models, are addressed. A framework for a systems thinking perspective on SSCM is conceptualized that may serve as a basis for future research.
Boysen, C. ., Kaldemeyer, C. ., & Tuschy, I. . (2019). Elektrizitätsnetzgekoppelte Fernwärmeversorgung 2020 - Untersuchung von Flexibilitätsoptionen in der Wärmeversorgung. Forschungsergebnisse, 9.
Jauch, C. ., Hippel, S. ., & Ritschel, U. . (2019). Hydraulic-pneumatic flywheel configurations for controlling the inertia of a wind turbine rotor. Wind Engineering, 43(2), 19. http://doi.org/10.1177/0309524X18780386