SIMTech-NTU Joint Lab on Complex Systems
Block N4, B1a-01 | School of Computer Science and Engineering, Nanyang Technological University | Singapore 639798

News


Services sector becoming more crucial: MAS, published on Today Newspaper Singapore
30 April 2014 - 4:12am

"The services sector - the main engine of economic growth in Singapore - will gain momentum as its contribution to gross domestic product (GDP) continues to increase while manufacturing's share declines, the Monetary Authority of Singapore (MAS) said in its latest Macroeconomic Review report released yesterday." "Within manufacturing, multinational companies are also realigning their business operations to focus on delivering services complementary to the goods they produce," the central bank added. "The shift ... is likely to accelerate in the coming years due to the higher profit potential of such activities." "A competitive manufacturing sector has a lot of positive spillovers to support services.... But to thrive in our economy - one with cost and manpower constraints - manufacturers here must restructure for higher-value-add activities...." "Services-driven activities will continue to be the bulk of our growth driver, riding on Singapore's status as one of Asia-Pacific's hubs and leveraging on the region's growing wealth and demand for various personalised services."

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The research is also in line with which School thrust?
28 January 2015 - 1:49pm

Agent-Based Modeling & Simulations

Agent-based modelling and simulation (ABMS) is one of the core research thrust and focus of SCE that serves as an enabler of the joint lab. ABMS is a relatively new approach to modelling complex systems. An agent-based model is defined by a collection of interacting autonomous agents with individually defined properties and behaviours. Through development of simple rules and temporal interactions of the many agents, more complex macro-level system properties will emerge. In the joint lab, research members working on this thrust are developing automaton-based discrete-event supply chain simulation models that are composed from software components that represent types of supply chain agents (like retailers, manufacturers, transporters), their constituent control elements (like inventory policy), and their interaction protocols (like message types). The underlying library of supply chain modeling components will be derived from analysis of several different supply chains and research made on vehicle routing systems. The aim is to provide a reusable base of domain-specific primitives or memes that enables rapid development of customized decision support tools.

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What is exciting about this research? Milestones/progress?
28 January 2015 - 1:45pm

Research Direction / Sustainable Plan

Complex systems modeling, simulation, data analytics and machine learning and optimization sciences are becoming indispensible tools for identifying customer demand patterns, forecasting future demand, predicting auction closing prices, approximating and optimizing supply availability, performing what-if analysis and handling risks due to uncertainties and disruptions. Such technologies and tools build can significantly alleviate or bring new insights into the complexities of today's rapidly changing supply chain dynamics and globalized economy. In particular, to cope with the rapid advances in e-Commerce, today's supply chains need to be reconfigured swiftly to re-shape the companies' business models, deliver more orders and cater to the new customer preferences instantaneous, so as to support the shift towards more services-oriented activities in manufacturing, so as to extend Singapore's leadership as master facilitative control hubs of supply chain in the Asia-Pacific.

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The wider application / impact of the outcomes/deliverables to the society/economy, tech transfer to industry
28 January 2015 - 1:41pm

Deliverables of the joint lab would include new concepts, workflow, methodologies, technologies, tools and demonstrators to support the shift towards more services-oriented activities in digital manufacturing, so as to maintain and extend Singapore's leadership as master facilitative control hubs of supply chain in Asia-Pacific. This research also extends the conventional vehicle routing problem with additional objectives and constraints of environmental factors to tackle the less-than-truckload problem incurred by many logistic service providers in urban environment such as Singapore, thus bringing about contributions to the logistic service providers in operational research field. Decrease in route distance, route time and increase in asset utilization are expected to translate from the research collaboration. Indirect benefits include a decrease in congestion and pollution within the country.

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News


Technology Driver of Joint-Lab (Pioneered in NTU)
28 January 2015 - 1:37pm

LesCaS: The Large Engineering Supply Chain Adaptive System (LesCaS: A NTU Licensed Technology and leading to Startup Company 'Meme Analytics') is a decision support and optimization software designed for large scale logistics and supply chain management. LesCaS supports dynamic vehicle routing, dispatching as well as supply chain modelling and simulation. It has been has licensed to a start-up company and is currently also used as the underlying modelling, simulation and optimization engine for 2 Agency for Science, Technology and Research (A*STAR) funded TSRPs, namely, i) Master Facilitative Control Tower For Risk Management of Complex Supply Chains Logistics & Supply Chain Management and ii) Multi-Objective Vehicle Routing for Last Mile Logistics housed within the joint-lab.

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Agency for Science, Technology and Research (A*STAR) funded TSRP on Logistics & Supply Chain Management Programme: Multi-Objective Vehicle Routing for Last Mile Logistics
28 January 2015 - 1:33pm

In this project, Associate Professor One Yew Soon, Director of the Centre for Computational Intelligence at the School of Computer Engineering at Nanyang Technological University, and his team collaborate with Dr. Tan Puay Siew, Manager of Production & Operations Management group at Singapore Institute of Manufacturing Technology (SIMTECH), and her team to develop multi-objective and dynamic vehicle routing for last mile logistics in city area. This research is also in the interdisciplinary collaboration with Associate Professor Mark Goh, Assistant Professor Cheong Taesu, Dr. Robert de Souza at The Logistics Institute Asia Pacific (TLIAP), National University of Singapore and Associate Professor Lau Hoong Chuin at Singapore Management University.

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News


Digital Manufacturing: Embracing the 'Factory-of-the-Future'
16 July 2014 - 5:28pm

The School of Computer Engineering teamed up with A*STAR SIMTech through a SIMTech-NTU joint laboratory to harness computational intelligence and complex systems technologies. The joint laboratory will address complexities in manufacturing operations and supply chain networks that will position Singapore as a "Factory-of-the-Future" and maintain Singapore's leadership as the master facilitative control hub for supply chains in Asia Pacific.

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