Kramer, A., & Labes, A. (2020). 16 Biotechnology of Marine Fungi: New Workhorses and Applications. The Mycota III. http://doi.org/10.1007/978-3-030-49924-2_16
Gruchmann, T., & Brandenburg, M. (2020). Managing unreliability in automotive supply networks – an extension of the joint economic lot size model. International Journal of Operational Research, 39(1). http://doi.org/10.1504/IJOR.2020.108838
Abstract
Within assembly network supply chains, supply disruptions can occur on every supplier-buyer link. Managing this network unreliability can help to reduce schedule instability and increases the overall efficiency of the supply chain accordingly. In this line, a stylised assembly network supply chain model is proposed with two suppliers and a single buyer using the joint economic lot sizing approach. This supply network can be disrupted by a shortage occurring at one of the two suppliers due to random machine breakdowns, which consequently creates dependent requirements variations affecting both the buyer and the entire network. First, the basic joint economic lot sizing model is extended by the said schedule instability. Second, a solution approach is presented concerning the determination of optimal lot sizes, the investment into the reliability of the supply network as well as the determination of safety stocks. Furthermore, the sensitivity of relevant model parameters is investigated by means of a numerical example. Managerial implications are accordingly derived focusing on the reliability of the supply network members and internal incentive structures.
eri, J. S. M., Petersen, K., & Mendes, E. (2020). An empirically evaluated checklist for surveys in software engineering. Information and Software Technology, 119, 106240.
Rebs, T., Thiel, D., Brandenburg, M., & Seuring, S. (2019). Impacts of stakeholder influences and dynamic capabilities on the sustainability performance of supply chains: a system dynamics model. Journal of Business Economics, 89, 893–926. http://doi.org/10.1007/s11573-019-00940- (Original work published 2026)
Abstract
Dynamic capabilities (DCs) are crucial for companies to attain competitive advantage in dynamic business environments and supply chains, where environmental and social aspects are considered by sustainable supply chain management (SSCM). However, the effects of stakeholder influences on SSCM performance, which results from the interplay of DCs and SSCM practices, need to be analyzed. Therefore, a system dynamics (SD) model is proposed to include the influences of governmental, shareholder, and other external stakeholder pressure. The system behavior, i.e., the company’s SSCM performance, can thus be analyzed in face of varying time delays of stakeholder influences. Findings indicate that different intensities of stakeholder influences affect the development of SSCM practices and DCs of a focal company, and thus, overall SSCM performance. Consequently, intensities of stakeholder influences should be managed accordingly, while the impact of time delays has to be understood to control SSCM performance. The insights gained from the model support the decision- and policy-making, which can be considered from the perspective of the focal company, the regulatory authorities, the shareholders, and other external stakeholders that ultimately translate into customer pressure.
Fleming, P. A., Peiffer, A., & Schlipf, D. (2019). Wind turbine controller to mitigate structural loads on a floating wind turbine platform. Journal of Offshore Mechanics and Arctic Engineering, 141. http://doi.org/10.1115/1.4042938 (Original work published 2026)
Boysen, C., Kaldemeyer, C., Hilpert, S., & Tuschy, I. (2019). Integration of Flow Temperatures in Unit Commitment Models of Future District Heating Systems. Energies, 12, 1061. http://doi.org/10.3390/en12061061 (Original work published 2026)
Würth, I., Valldecabres, L., Simon, E., Möhrlen, C., Uzunoğlu, B., Gilbert, C., … Kaifel, A. (2019). Minute-scale forecasting of wind power results from the collaborative workshop of IEA wind task 32 and 36. Energies, 12, 712. http://doi.org/10.3390/en12040712 (Original work published 2026)
Uzunkol, O. (2019). Comments on “verifiable outsourced attribute-based signature scheme”. Multimedia Tools and Applications , 78(9), 11735–11742,. http://doi.org/10.1007/s11042-018-6725-7
Abstract
Ren and Jiang recently published a “verifiable outsourced attribute-based signature scheme” in Multimedia Tools and Applications. In this note, we first provide two attacks on the verifiability of the semi-signatures of this scheme by showing that a malicious signing-cloud service provider (S-CSP) can always cheat the signer unlike the authors’ claim. Moreover, one of these attacks also implies that an untrusted S-CSP can always forge signatures contrary to the claimed unforgeability against chosen message attacks. Therefore, this scheme unfortunately does not satisfy the main security properties for a delegated signature scheme.
Moritz, S., & Uzunkol, O. (2019). Secure delegation of group exponentiations: Efficient and fully verifiable schemes with two servers. Security and Privacy, n/a, e70. http://doi.org/https://doi.org/10.1002/spy2.70 (Original work published 2019)
Abstract
Abstract Recent interactions between cloud service providers and mobile resource-constrained devices have increased the interest on the delegation of expensive computations to powerful external server providers. At the same time, security and verifiability of the delegated computation are challenging though highly demanded requirements for various application scenarios. Many security solutions using advanced cryptographic technologies require a large number of highly expensive group exponentiations (GEs). In this paper, we address the problems regarding secure and verifiable delegation of GEs. We first analyze two delegation schemes for GEs both introduced recently in Cluster Computing by Fu et al with the claim that they both provide full verifiability. Particularly, we show that the first scheme is only verifiable with a probability at most 2/3, and the second scheme is totally unverifiable. Then, we propose a secure, efficient and fully verifiable delegation scheme InvDel for a GE using two servers, where one of which is malicious. With InvDel the delegator does not require computations of any group inversions (GIs) while providing full verifiability. Then, we extend InvDel to SimInvDel which is the first, efficient and secure delegation scheme for n-simultaneous GEs achieving full verifiability for n > 1. Secondly, we give implementation results of InvDel and SimInvDel using an Android application together with a comprehensive efficiency analysis of computation and communication with the previous schemes. For instance, when the required CPU costs for a single GE are compared with a 4092-bit modulus, InvDel is more than 220-times (resp. more than two times) more efficient than the local computation (resp. using a previous fully verifiable scheme proposed in the literature). Finally, we also utilize InvDel and SimInvDel to speed-up the verification of Schnorr s signature and Cramer-Shoup encryption schemes.
Suchodolski, K., von Dincklage, F., Lichtner, G., Friesdorf, W., Podtschaske, B., & Ragaller, M. (2019). Vergleich aktueller Patientendatenmanagementsysteme in der Intensivmedizin aus Sicht der klinischen Nutzer. Der Anaesthesist, 68(7), 436–443,. http://doi.org/10.1007/s00101-019-0615-x (Original work published Juli 2019)
Abstract
Patientendatenmangementsysteme (PDMS) sind computerbasierte Systeme zur Verarbeitung von medizinischen Daten, die auf Intensivstationen sowohl positive als auch negative Einflüsse auf die Patientenversorgung haben können. Die Faktoren, die darüber entscheiden, ob ein PDMS eher Vor- oder Nachteile bringt und wie deutlich diese ausfallen, werden unter dem Begriff „Gebrauchstauglichkeit“ zusammengefasst. Diese Arbeit fasst die Ergebnisse aus 3 bereits publizierten Arbeiten zu diesem Thema zusammen.