Ghazi, A. N., Petersen, K. ., Reddy, S. S. V. R., & Nekkanti, H. . (2018). Survey research in software engineering: Problems and mitigation strategies. IEEE Access, 7, 24703–24718.
Hahn, G. J., & Brandenburg, M. . (2018). A sustainable aggregate production planning model for the chemical process industry. Computers & Operations Research, 94, 154–168. http://doi.org/10.1016/j.cor.2017.12.011
Abstract
Process industries typically involve complex manufacturing operations and thus require adequate decision support for aggregate production planning (APP). In this paper, we focus on two relevant features of APP in process industry operations: (i) sustainable operations planning involving multiple alternative production modes/routings with specific production-related carbon emission and the social dimension of varying operating rates, (ii) integrated campaign planning with the operational level in order to anticipate production mix/volume/routing decisions on campaign lead times and WIP inventories as well as the impact of variability originating from a stochastic manufacturing environment. We focus on the issue of multi-level chemical production processes and highlight the mutual trade-offs along the triple bottom line concerning economic, environmental and social factors. To this end, production-related carbon emission and overtime working hours are considered as externalized factors as well as internalized ones in terms of resulting costs. A hierarchical decision support tool is presented that combines a deterministic linear programming model and an aggregate stochastic queuing network model. The approach is exemplified at a case example from the chemical industry to illustrate managerial insights and methodological benefits of our approach.
Kaldemeyer, C. ., Boysen, C. ., & Tuschy, I. . (2018). A Generic Formulation of Compressed Air Energy Storage as Mixed Integer Linear Program - Unit Commitment of Specific Technical Concepts in Arbitrary Market Environments. Materials Today: Proceedings, 5, 22835–22849. http://doi.org/10.1016/j.matpr.2018.07.098
Jabbari, R. ., Bin Ali, N. ., Petersen, K. ., & Tanveer, B. . (2018). Towards a benefits dependency network for DevOps based on a systematic literature review. Journal of Software: Evolution and Process, 30, e1957.
Warasthe, M. B. R. (2018). Sourcing Organic Cotton from African Countries Potentials and Risks for the Apparel Industry Supply Chain. IFAC-PapersOnLine, 51, 297–301. http://doi.org/https://doi.org/10.1016/j.ifacol.2018.11.305
Abstract
Sustainability is a contributor to competitive advantage and a potential key to increase market shares in the saturated apparel sector. Managing supply chains environmentally and socially sustainable is a way to prevent from being associated with the many negative examples in the industry that are presented on a regular basis by NGOs and media. In order to avoid negative consequences from unsustainable behavior of suppliers, sustainability needs to be propagated to upstream partners in the supply chain. The paper at hand illustrates opportunities to strengthen sustainability in apparel supply chains. Based on a systematic review of related literature, a taxonomy of apparel supply chains is derived and sustainability aspects are identified. A particular focus is put on finding alternative sources such as organic cotton from Africa. The presented study represents a basis to stimulate future research on sustainable apparel supply chains. Practitioners may find innovative approaches to improve supply chain sustainability.
Thomsen, F. ., Hofmann, G. ., Ebel, T. ., & Willumeit-Römer, R. . (2018). An elementary simulation model for neck growth and shrinkage during solid phase sintering. Materialia, 3, 9. http://doi.org/https://doi.org/10.1016/j.mtla.2018.08.031
Tuschy, I. ., Boysen, C. ., Kaldemeyer, C. ., & Kapp, C. . (2018). Kraft-Wärme-Kopplung oder Power-to-Heat – Netzgekoppelte Wärmeversorgung bei einem steigenden Anteil erneuerbarer Energien. Tagungsband Zum 50. Kraftwerkstechnischen Kolloquium.
Demirsoy, A. ., & Petersen, K. . (2018). Semantic Knowledge Management System to Support Software Engineers: Implementation and Static Evaluation through Interviews at Ericsson. E-Informatica Software Engineering Journal, 12.
Oelze, N. ., Brandenburg, M. ., Jansen, C. ., & Warasthe, R. . (2018). Applying Sustainable Supply Chain Management Frameworks to Two German Case Studies. IFAC-PapersOnLine, 51, 293–296. http://doi.org/10.1016/j.ifacol.2018.11.304
Abstract
Sustainability has become a highly relevant factor for companies, economies and societies. As a consequence, the consideration of environmental and social factors is crucial to manage supply chains sustainably. The study at hand analyses and compares conceptual frameworks and empirical studies on sustainable supply chain management. The gained insights are transferred to case studies of two German firms.