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Dr. Peter Lendermann

Co-Founder and Chief Business Development Officer
D-SIMLAB Technologies

Biography

Peter Lendermann is a Co-Founder and the Chief Business Development Officer of D-SIMLAB Technologies, a Singapore-headquartered company providing simulation-based decision support solutions to Semiconductor Manufacturing companies where he is responsible for business development worldwide. Prior to this he worked at the Singapore Institute of Manufacturing Technology where he led related R&D activities until spinning them off into D-SIMLAB. Peter has been engaged in the field of production logistics, supply chain management and related decision support technologies and solutions since the early 1990’s. He holds a PhD in Physics from Humboldt University in Berlin (Germany) and an MBA in International Economics and Management from SDA Bocconi in Milan (Italy).

Company Website

Company Profile

D-SIMLAB Technologies

Company Profile

D-SIMLAB Technologies is a software company providing high-performance, AI-enabled, simulation-based Digital Twin solutions for business analytics and decision support in asset-intensive industries, with a focus on Semiconductor Manufacturing (D-SIMCON suite) and Aviation Maintenance, Repair and Overhaul industries (D-SIMSPAIR suite).
D-SIMLAB is a spin-off company from the Singapore Institute of Manufacturing Technology (SIMTech) under the Agency for Science Technology and Research (A*STAR). The head office is in Singapore, and D-SIMLAB also has representations in Germany, the US, Malaysia and China.
D-SIMCON solutions have been implemented with more than 10 IDM/Foundry/DRAM/LED customers operating more than 30 fabs worldwide, both 150mm/200mm and 300mm, as well as Assembly & Test. D-SIMLAB’s success lies in deploying production-ready solutions portraying many domain-specific characteristics, essential for the generation of operationally feasible plans and schedules, enabling customers to extract immediate value.

Product & Service

In Semiconductor Manufacturing, the D-SIMCON solution suite spans the full spectrum of decision-support solutions to manage, forecast and optimise production planning and WIP flow execution business processes in Semiconductor Manufacturing facilities:
• D-SIMCON Dynamic Capacity and Material Flow Performance (DCMF) Planner: Understand implications of different longer-term equipment capacity scenarios on cycle time,
• D-SIMCON WIP Forecaster: Forecast (short-term) WIP waves and provide decision support to identify countermeasures to smoothen WIP waves and reduce cycle time (variability),
• D-SIMCON AI Training and Evaluation Platform: Make AI Agents learn from simulated (future) fab scenarios to enable prescriptive planning and operations management even for situations that have not been observed in the past,
• D-SIMCON Static Capacity Engine: Carry out non-constrained analysis of equipment capacity scenarios and match them against demand,
• D-SIMCON Load Mix Optimiser: Optimise factory load mix, taking into account capacity and demand constraints,
• D-SIMCON Photo Optimiser: Automate the process of adjusting product/layer dedication and resist allocation in the lithography area,
• D-SIMCON Scheduler & Dispatcher: Determine and execute optimal dispatch sequences at selected Equipment Groups.
Full Profile