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Thomas Ponsignon
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2020 – today
- 2024
- [j2]Hsuan An Kuo, Chen Fu Chien, Hans Ehm, Thomas Ponsignon:
A semantic web-based risk assessment framework for collaborative planning to enhance overall supply chain effectiveness for semiconductor industry. Appl. Soft Comput. 149(Part A): 110976 (2024) - 2020
- [c24]Muhammad Tariq Afridi, Santiago Nieto Isaza, Hans Ehm, Thomas Ponsignon, Abdelgafar Hamed:
A Deep Reinforcement Learning Approach for Optimal Replenishment Policy in A Vendor Managed Inventory Setting For Semiconductors. WSC 2020: 1753-1764 - [c23]Nour Ramzy, Christian James Martens, Shreya Singh, Thomas Ponsignon, Hans Ehm:
First Steps Towards Bridging Simulation and Ontology to Ease the Model Creation on the Example of Semiconductor Industry. WSC 2020: 1789-1800 - [c22]Julia Siess, Hermann Gold, Thomas Ponsignon:
Modelling and Mathematical Optimization for Capacity Planning of a Semiconductor Wafer Test Module. WSC 2020: 1910-1920 - [c21]Marco Ratusny, Alican Ay, Thomas Ponsignon:
Characterizing Customer Ordering Behaviors in Semiconductor Supply Chains with Convolutional Neural Networks. WSC 2020: 1931-1942
2010 – 2019
- 2019
- [c20]Timm Ziarnetzky, Lars Mönch, Thomas Ponsignon, Hans Ehm:
Integrated Planning of Production and Engineering Activities in Semiconductor Supply Chains: A Simulation Study. WSC 2019: 2324-2335 - [c19]Ines Gold, Hans Ehm, Thomas Ponsignon, Muhammad Tariq Afridi:
Applying Diffusion Models to Semiconductor Supply Chains: Increasing Demand by Funded Projects. WSC 2019: 2384-2395 - [c18]Hans Ehm, Cédric Neau, Christian James Martens, Tim Lauer, Thomas Ponsignon, Joaquin Garcia:
Research Opportunities Regarding Tree and Network Productstructure Representations in a Semiconductor Supply Chain. WSC 2019: 2429-2440 - 2018
- [c17]Pramod Govindaraju, Sebastian Achter, Thomas Ponsignon, Hans Ehm, Matthias Meyer:
Comparison of two clustering approaches to find demand patterns in semiconductor supply chain planning. CASE 2018: 148-151 - [c16]Abdelgafar Hamed, Hans Ehm, Thomas Ponsignon, Beril Bayer, Kamil Erkan Kabak:
Flexibility as an Enabler for carbon dioxide Reduction in a Global supply Chain: a Case Study from the semiconductor Industry. WSC 2018: 3408-3419 - [c15]Georg Laipple, Stéphane Dauzère-Pérès, Thomas Ponsignon, Philippe Vialletelle:
Generic Data Model for semiconductor manufacturing supply Chains. WSC 2018: 3615-3626 - 2017
- [c14]Timm Ziarnetzky, Lars Mönch, Thomas Ponsignon, Hans Ehm:
Rolling horizon planning with engineering activities in semiconductor supply chains. CASE 2017: 1024-1025 - [c13]Sebastian Achter, Iris Lorscheid, Jonas Hauke, Matthias Meyer, David Meyer-Riehl, Thomas Ponsignon, Can Sun, Hans Ehm:
On agent-based modeling in semiconductor supply chain planning. WSC 2017: 3507-3518 - [c12]Yilin Chen, Thomas Ponsignon, Roland Weixlgartner, Hans Ehm:
Simulating recovery strategies to enhance the resilience of a semiconductor supply network. WSC 2017: 4477-4478 - 2015
- [c11]Can Sun, Thomas Ponsignon, Thomas Rose, Arunachalam Narayanan:
Complexity analysis through the modeling of human behavior in a complex supply chain planning environment. WSC 2015: 2917-2928 - 2014
- [c10]Jingjing Yuan, Thomas Ponsignon:
Towards a semiconductor supply chain simulation library (SCSC-SIMLIB). WSC 2014: 2522-2532 - 2013
- [b1]Thomas Ponsignon:
Modeling and Solving Master Planning Problems in Semiconductor Manufacturing. FernUniversität in Hagen, 2013 - 2012
- [j1]Thomas Ponsignon, Lars Mönch:
Heuristic approaches for master planning in semiconductor manufacturing. Comput. Oper. Res. 39(3): 479-491 (2012) - [c9]Tim Russland, Hans Ehm, Thomas Ponsignon:
A workflow management system for cross-system processes in semiconductor supply chains. CASE 2012: 635-640 - [c8]Hans Ehm, Thomas Ponsignon:
Future research directions for mastering end-to-end semiconductor supply chains. CASE 2012: 641-645 - [c7]Thomas Ponsignon, Lars Mönch:
Using iterative simulation to incorporate load-dependent lead times in master planning heuristics. WSC 2012: 188:1-188:11 - 2011
- [c6]Hans Ehm, Thomas Ponsignon, Hanna Wenke, Lars Mönch, Lisa Forstner:
Towards a supply chain simulation reference model for the semiconductor industry. WSC 2011: 2124-2135 - 2010
- [c5]Hans Ehm, Christian Schiller, Thomas Ponsignon:
Achieving Better Utilization of Semiconductor Supply Chain Resources by Using an Appropriate Capacity Modeling Approach on the Example of Infineon Technologies AG. OR 2010: 417-422 - [c4]Hans Ehm, Stefan Heilmayer, Thomas Ponsignon, Tim Russland:
A discussion of object-oriented process modeling approaches for discrete manufacturing on the example of the semiconductor industry. WSC 2010: 2553-2562 - [c3]Thomas Ponsignon, Lars Mönch:
Architecture for simulation-based performance assessment of planning approaches in semiconductor manufacturing. WSC 2010: 3341-3349
2000 – 2009
- 2008
- [c2]Christoph Habla, Lars Mönch, Thomas Ponsignon, Hans Ehm:
Optimierungsbasierte Verfahren für die kurzfristige Bedarfsvorhersage in der Hochtechnologiebranche. Intelligente Systeme zur Entscheidungsunterstützung 2008: 113-128 - 2007
- [c1]Christoph Habla, Rene Driessel, Lars Mönch, Thomas Ponsignon, Hans Ehm:
A Short-Term Forecast Method for Demand Quantities in Semiconductor Manufacturing. CASE 2007: 94-99
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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