A single aeroplane contains roughly four million individual parts, and successfully keeping entire fleets in the air requires easy and efficient access to spare components. This demanding process is managed by companies specializing in maintenance, repair and overhaul (MRO).
Managing these resources without guesswork is now possible using a software system called D-SIMSPAIR, which was developed by the company D-SIMLAB Technologies—a spin-off from the A*STAR Singapore Institute of Manufacturing Technology (SIMTech).
“D-SIMSPAIR is a system that is able to portray spare parts inventory networks in a high-fidelity simulation model and also comprises an engine to rapidly optimize inventory quantities and allocations,” explains Peter Lendermann, CEO and co-founder of D-SIMLAB. By providing a more comprehensive alternative to the simple mathematical models that were previously the industry standard, D-SIMSPAIR helps companies trim costs while offering the flexibility needed to rapidly implement changes.
Today, D-SIMSPAIR is used by MRO companies supporting aircraft manufactured by Airbus, Boeing, Embraer and Bombardier. In 2010, the company formalized an agreement with Airbus that makes D-SIMSPAIR the platform of choice for optimizing materials and logistics for both present and future Airbus aircraft. Most recently, D-SIMLAB was recognized for its innovations by the technology industry magazine Red Herring, which designated the company as one of its Global Top 100 Tech Startups for 2010.
D-SIMLAB got its start in 2006, prior to the commercial launch of the Airbus A380. In an effort to streamline its spare-parts management strategy for the new aircraft, a Singapore-based MRO company consulted Lendermann’s research team at SIMTech. The researchers had been working on simulation-based tools designed to help companies make strategically sound decisions related to the management of resources distributed around the world.
“We’d seen the need for novel decision-support tools to enable better asset management, but also realized that sufficient scalability could only be achieved by taking a global-scale approach,” says Lendermann.
In partnership with his SIMTech colleagues Gan Boon Ping and Nirupam Julka, Lendermann subsequently parlayed the team’s efforts into the launch of D-SIMLAB. Their first software product was designed to assist aerospace asset management, based on a simulation engine that was subsequently incorporated into D-SIMSPAIR. It proved to be a powerful tool for the aerospace industry.
In parallel, D-SIMLAB incorporated the same simulation engine into a software platform for the semiconductor-manufacturing industry, D-SIMCON, which is now being used by companies in Singapore and Germany. According to Lendermann, these businesses are also gaining considerable efficiency in their manufacturing processes through the use of D-SIMLAB software. “They can react to changes in demand and operational conditions on the shop floor much faster than what is possible with conventional software tools,” he says. “This enables lower cycle times and higher capacity utilization, again leading to multi-million dollar cost savings.”
D-SIMLAB has grown rapidly in the past five years. Lendermann and colleagues, however, foresee considerable expansion as more companies recognize the advantages of using such simulation-based systems to accurately model the dynamics of their global networks, which minimizes waste and delays and ensures that essential resources are consistently in the appropriate place at the appropriate time.
D-SIMLAB Technologies was established in 2006 as a spin-off from the A*STAR Singapore Institute of Manufacturing Technology with the aim of developing, marketing and delivering high-performance simulation-based decision support solutions that enable corporations to realize significant cost savings. D-SIMLAB is now a leading provider of high-end simulation-based decision support solutions for the aerospace and semiconductor manufacturing industries.
About the Singapore Institute of Manufacturing Technology
The Singapore Institute of Manufacturing Technology (SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. SIMTech has completed more than 900 projects with more than 500 companies, big and small, in the electronics, semiconductor, precision engineering, medical technology, aerospace, automotive, marine, logistics and other sectors.
Stable magnetic bit of three atoms
21.09.2017 | Sonderforschungsbereich 668
Drones can almost see in the dark
20.09.2017 | Universität Zürich
Plants and algae use the enzyme Rubisco to fix carbon dioxide, removing it from the atmosphere and converting it into biomass. Algae have figured out a way to increase the efficiency of carbon fixation. They gather most of their Rubisco into a ball-shaped microcompartment called the pyrenoid, which they flood with a high local concentration of carbon dioxide. A team of scientists at Princeton University, the Carnegie Institution for Science, Stanford University and the Max Plank Institute of Biochemistry have unravelled the mysteries of how the pyrenoid is assembled. These insights can help to engineer crops that remove more carbon dioxide from the atmosphere while producing more food.
A warming planet
Our brains house extremely complex neuronal circuits, whose detailed structures are still largely unknown. This is especially true for the so-called cerebral cortex of mammals, where among other things vision, thoughts or spatial orientation are being computed. Here the rules by which nerve cells are connected to each other are only partly understood. A team of scientists around Moritz Helmstaedter at the Frankfiurt Max Planck Institute for Brain Research and Helene Schmidt (Humboldt University in Berlin) have now discovered a surprisingly precise nerve cell connectivity pattern in the part of the cerebral cortex that is responsible for orienting the individual animal or human in space.
The researchers report online in Nature (Schmidt et al., 2017. Axonal synapse sorting in medial entorhinal cortex, DOI: 10.1038/nature24005) that synapses in...
Whispering gallery mode (WGM) resonators are used to make tiny micro-lasers, sensors, switches, routers and other devices. These tiny structures rely on a...
Using ultrafast flashes of laser and x-ray radiation, scientists at the Max Planck Institute of Quantum Optics (Garching, Germany) took snapshots of the briefest electron motion inside a solid material to date. The electron motion lasted only 750 billionths of the billionth of a second before it fainted, setting a new record of human capability to capture ultrafast processes inside solids!
When x-rays shine onto solid materials or large molecules, an electron is pushed away from its original place near the nucleus of the atom, leaving a hole...
For the first time, physicists have successfully imaged spiral magnetic ordering in a multiferroic material. These materials are considered highly promising candidates for future data storage media. The researchers were able to prove their findings using unique quantum sensors that were developed at Basel University and that can analyze electromagnetic fields on the nanometer scale. The results – obtained by scientists from the University of Basel’s Department of Physics, the Swiss Nanoscience Institute, the University of Montpellier and several laboratories from University Paris-Saclay – were recently published in the journal Nature.
Multiferroics are materials that simultaneously react to electric and magnetic fields. These two properties are rarely found together, and their combined...
19.09.2017 | Event News
12.09.2017 | Event News
06.09.2017 | Event News
22.09.2017 | Life Sciences
22.09.2017 | Medical Engineering
22.09.2017 | Physics and Astronomy