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2020 – today
- 2024
[j14]Marcel André Hoffmann
, Rainer Lasch:
Tackling Industrial Downtimes with Artificial Intelligence in Data-Driven Maintenance. ACM Comput. Surv. 56(4): 82:1-82:33 (2024)- 2023
- [j13]Marcel André Hoffmann, Laura Wetsch, Rainer Lasch:
Digitale Lieferantennetzwerke - Einblicke in die Digitalisierungsfortschritte der Beschaffung. HMD Prax. Wirtsch. 60(1): 21-37 (2023) - [j12]Jakob Keller, Florian Biniosek, Rainer Lasch:
Scaling up of hydrogen supply chains: the role of supply chain governance. Logist. Res. 16(1): 7 (2023) - 2022
- [j11]Jacob Lohmer, Franz Kossmann, Rainer Lasch:
Manufacturing strategy in multi-plant networks - a multi-case study on decision-making authority, network capabilities and competitive advantages. Int. J. Prod. Res. 60(16): 5108-5129 (2022) - [j10]Marcel André Hoffmann, Rainer Lasch, Johannes Meinig:
Forecasting Irregular Demand Using Single Hidden Layer Neural Networks. Logist. Res. 15(1): 6 (2022) - [c8]Christian Thomay, Ulf Bodin, Haris Isakovic, Rainer Lasch, Nicholas J. P. Race, Christoph Schmittner, Germar Schneider, Zsolt Szepessy, Markus Tauber, Zhiping Wang:
Towards Adaptive Quality Assurance in Industrial Applications. NOMS 2022: 1-6 - 2021
- [j9]Jacob Lohmer, Rainer Lasch:
Production planning and scheduling in multi-factory production networks: a systematic literature review. Int. J. Prod. Res. 59(7): 2028-2054 (2021) - [c7]Lorenz Trautmann, Rainer Lasch:
Blockchain-driven Supply Chain Finance - A Structured Review. IEEM 2021: 138-142 - [c6]Jacob Lohmer, Lasse Bohlen, Rainer Lasch:
Blockchain-Based Master Data Management in Supply Chains: A Design Science Study. APMS (4) 2021: 51-61 - 2020
- [j8]Jacob Lohmer, Rainer Lasch:
Blockchain in operations management and manufacturing: Potential and barriers. Comput. Ind. Eng. 149: 106789 (2020) - [j7]Christian Hein, Florian Behrens, Rainer Lasch:
Insights on the Costs of Humanitarian Logistics A Case Study Analysis. Logist. Res. 13(1): 3 (2020) - [c5]Jacob Lohmer, Daniel Spengler, Rainer Lasch:
Multi-factory Job Shop Scheduling With Due Date Objective. IEEM 2020: 79-84 - [c4]Laura Herrgoß, Jacob Lohmer, Germar Schneider, Rainer Lasch:
Development and Evaluation of a Blockchain Concept for Production Planning and Control in the Semiconductor Industry. IEEM 2020: 440-444 - [c3]Henriette Allgeier, Christian Flechsig, Jacob Lohmer, Rainer Lasch, Germar Schneider, Benjamin Zettler:
Simulation-Based Evaluation of Lot Release Policies in a Power Semiconductor Facility - a Case Study. WSC 2020: 1503-1514 - [e1]Janis S. Neufeld, Udo Buscher, Rainer Lasch, Dominik Möst, Jörn Schönberger:
Operations Research Proceedings 2019, Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019. Springer 2020, ISBN 978-3-030-48438-5 [contents]
2010 – 2019
- 2019
- [j6]Armin Klausnitzer, Rainer Lasch:
Optimal facility layout and material handling network design. Comput. Oper. Res. 103: 237-251 (2019) - [c2]Niels Bugert, Rainer Lasch:
Dynamic Pricing as a Mitigation Strategy Against Supply Network Disruptions with Price-Sensitive Demand - An Agent-Based Model. WSC 2019: 3140-3151 - 2018
- [j5]Niels Bugert, Rainer Lasch:
Effectiveness of responsive pricing in the face of supply chain disruptions. Comput. Ind. Eng. 124: 304-315 (2018) - [j4]Christian Friedrich, Armin Klausnitzer, Rainer Lasch:
Integrated slicing tree approach for solving the facility layout problem with input and output locations based on contour distance. Eur. J. Oper. Res. 270(3): 837-851 (2018) - [j3]Niels Bugert, Rainer Lasch:
Supply Chain Disruption Models: A Critical Review. Logist. Res. 11(1): 5 (2018) - [j2]Wolfgang Vogel, Rainer Lasch:
Complexity drivers in product development: A comparison between literature and empirical research. Logist. Res. 11(1): 7 (2018) - 2016
- [j1]Wolfgang Vogel, Rainer Lasch:
Complexity drivers in manufacturing companies: a literature review. Logist. Res. 9(1): 25:1-25:66 (2016) - 2012
- [c1]Jan Lange, Gerald Weigert, Sophia Keil, Rainer Lasch, Dietrich Eberts:
Introducing the virtual time based flow principle in a high-mix low-volume wafer test facility and exploring the behavior of its key performance indicators. WSC 2012: 175:1-175:12
Coauthor Index
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