Research in SIMTech

Stiff global competition, coupled with digital transformation for Industry 4.0 requirements, lends to faster responses for customers. This translates to shorter time-to-market and greater uncertainties for manufactures and responses need to be fast, accurate, and appropriate.

The Planning and Operations Management (POM) Group focuses on operations research and system analyses technologies for the effective management of manufacturing and supply chain operations, to achieve better productivity. They enable companies to collaboratively manage business activities and seamlessly integrate their manufacturing operations with their partners in the supply chain. These operations research technologies leveraged on the internet and other communication tools to create solutions that specifically meet the needs of today’s complex and dynamic business environment.  

Manufacturing System Analyses (MSA)

The Manufacturing System Analyses Team works on the development and application of operations analytics and system modelling & optimisation for manufacturing and supply chain applications. 

Companies today compete not individually but as supply chains. Supply chains are becoming increasingly complex as many parallel physical and information flows occur in order to ensure that products are delivered in the right quantity, to the right place in a cost effective manner. The main focus of this team is to conduct research and develop technologies that will enable companies to improve their operational performances in supply chains. These technologies include: RFID and EPCIS-enabled track and trace; system modelling and simulation for manufacturing system design and operations management; multi-objective optimisation for logistics planning and delivery; mobile workflow for business process management; supply chain modelling and simulation for risk management; and cyber-physical production modelling, simulation and optimisation.

The team works closely with industry partners to testbed and transfer developed technologies. On the research side, the team collaborates with universities and research institutes, both locally and internationally, to jointly develop new techniques and methods that can be used to better support manufacturing system analysis. The team also trains both students and industry participants in our relevant areas of expertise.

Manufacturing Operations Management (MOM)

The Manufacturing Operations Management Team has two focus areas: Operations Innovation and Planning & Scheduling.

The Operations Innovation research focuses on: (1) development of tools and techniques to assist companies to achieve operational excellence and discover innovative business models and (2) research on operations management techniques to cater to requirements of new business models. The team provides companies with the Operations MaNagement Innovation (OMNI) and LEAN methodologies for systematic operations analysis and improvement from strategic to operational aspects. Also, the team recently launched the Digital Transformation and Innovation (DTI) methodology to help companies innovate their business models as well as operations towards Industry 4.0 environment.

The Planning & Scheduling research focuses on: (1) production planning and scheduling for high uncertainty and high-mix low-volume manufacturing environment, (2) manpower scheduling for service industry, (3) customer demand forecasting and (4) inventory planning. The team provides companies with various ready-to-go solutions such as Smart Manufacturing Operations Management (S-MOM) System for real-time production planning and scheduling for manufacturing industry, Manpower Scheduling System (MSS) for service industry, iForecaster for high accuracy customer demand forecasting and Inventory Planning System for multi-objective inventory replenishment policy optimisation.


Manufacturing System Analyses (MSA)

  • EPCglobal-enabled RFID track and trace
  • Manufacturing Cyber-physical system modelling and simulation for manufacturing operations improvement, plant layout optimisation and production flow design
  • Data analytics in manufacturing and supply chains
  • Eco-friendly vehicle routing for urban last mile logistics
  • Cyber-physical production system

Manufacturing Operations Management (MOM)

  • Business model innovation 
  • Operations Management Innovation (OMNI) productivity leaders and process improvement methodology, and tools & techniques
  • Production planning and scheduling for High-Mix-Low-Volume (HMLV) manufacturing
  • LEAN best practices and tools 
  • Predictive Inventory Planning and Optimisation
  • Intelligent Forecasting
  • Manpower Planning and Scheduling


 Manufacturing System Analyses (MSA)

  • RFID and EPCIS-enabled track and trace platform
  • Collection and Delivery Management
  • Inventory Tracking
  • Last Mile Logistics Management
  • Workflow Mobile
  • Supply Chain Analysis

Manufacturing Operations Management (MOM)

  • Operations Management Innovation Methodology™ (OmniMethodology™)
  • Digital Transformation Innovation
  • Planning and Mobile Shop Floor Tracking
  • Smart - Manufacturing Operations Management
  • Real-Time Scheduling
  • Inventory Planning
  • Manpower Scheduling
  • Augmented Demand Plan
  • Lean Manufacturing


  • A method to efficiently discover really occurred patterns in transactional data (Published: SIM/P/08621/00/SG, 26 February 2015).
  • Rough-Cut Capacity Planning with Production Constraints and Dynamic Bottleneck Considerations, US Patent No. 7,925,365, Granted Date: 12 April 2011.
  • Finite Capacity Scheduling Using Job Prioritisation and Machine Selection, US Patent No. US 7,904,192, Granted Date: 8 March 2011.
  • Finite Capacity Scheduling Using Job Prioritisation and Machine Selection, Singapore Patent No. 151266, Granted Date: 28 February 2011.
  • The 2019 IEEE Transactions on Evolutionary Computation Outstanding Paper Award: The paper titled, Multifactorial Evolution: Toward Evolutionary Multitasking, was bestowed the prestigious 2019 IEEE Transactions on Evolutionary Computation Outstanding Paper Award by the IEEE Computational Intelligence Society. The awards ceremony was held at the IEEE Congress on Evolutionary Computation at Wellington, New Zealand, on 12 June 2019. This paper was a joint effort by SIMTech Scientist Dr Abhishek Gupta, who is currently a member of the Planning and Operations Management (POM) group, Professor Yew-Soon Ong from Nanyang Technological University, and Dr Liang Feng from Chongqing University China.
  • Best Paper Award, Allan N Zhang, S M Wagner, Mark Goh, M Terhorst, B Ma, Quantifying Supply Chain Disruption Risk Using VaR, IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2012), 10-13 December 2012, Hong Kong.
  • Best Paper Award, F Y Wang, L Xu, R Lim, E W Lee, and M Zarzycki, Simulation-based Operational Decision Analysis at Decoupling Point in MTS-MTO System, IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2011), 6-9 December 2011, Singapore.
  • Outstanding Paper Award, C Withanage, H J Choi, T T H Duc, T Park, Towards Customer Evaluation Based Product Performance Modelling, The IEEE International Conference on Industrial Engineering and Engineering Management, December 7-10, 2010, Macao, China.
  • Ministry of Transport Minister's Innovation Award 2010 - Merit Award. An innovative technology "AstorPlan" has been developed that will increase the productivity for shipyards and their marine sub-contractors by allowing better optimisation of the planning and deployment of critical resources. This was developed jointly with Astoria Consulting Pte Ltd in an R&D collaboration project supported by the Maritime Port Authority of Singapore (MPA). The project team has been nominated by MPA for the award, which was given out by the Minister for Transport Mr. Raymond Lim during the MOT Annual Dinner on 2 November 2010.

Manufacturing System Analyses (MSA) 

  • FlexSim
  • Anylogic

Manufacturing Operations Management (MOM) 



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