Supply chain management keeps evolving as new advances in business improvement techniques plus technology take hold. New types of processes and process issues are emerging constantly, creating a daunting task for most supply chain networks in either service or manufacturing industry. Business melioration activities may start with basic improvements and finish with complete enterprise transformation to optimise outputs. Understanding the needs beyond supply chain analysis towards continual improvement is the basic of being on the success track.
This module offers a unique perspective to its participants. It provides in-depth working knowledge of the issues emerging to manage effective business processes within supply chain networks and the risks assessment needed for enterprise whenever they consider changes. Furthermore, the module includes extensive exercises that help the participants to build their own simulation models and integrate different optimisation techniques. The module is designed for individuals currently or soon to be involved in any of a number of business analysis, improvements or transformation efforts.
The module presents the application of simulation and optimisation approaches to improve supply chain performance and solve management problems. It also encompasses a number of statistical techniques that have been developed within the field of quantitative management to support the decision making process.
Information Technology For Supply Chain
Goals of Supply Chain Management (SCM), Process Flow Types, Information Technology Infrastructure (i.e. communications, databases, interfaces..etc), Integrating technology in SCM. Strategic Importance of using technology in current environment.
Define Variability, Sources of Variations, Measure of Variations, Normal Distribution Curve, Process Dispersion, Type of Variations, Variability vs. Process Improvement.
Business Process Analysis
Process analysis, Process Mapping, Product/Information Flows, Theory of Constraints, Bottleneck Analysis, Demand Forecasting.
Modelling Complex Business Systems
Complex Systems, General Modelling Concepts, Examples of Modelling Complex manufacturing and service systems, Modelling approaches, Cycle Time Analysis, Manufacturing and MHS, Automobile Industry, Banking Industry, Logistics and Transportation Systems, Healthcare, Service Systems, Military, Computer and Communication, Scheduling … etc
Simulation-based Framework for business process design
Simulation Methodology, Data Collection/Mining, Process Logic. Review on Simulation Software Packages, Selection Process, Evaluation Criteria, .. etc Randomness, Modelling Variability, Experimental Design, Simulation Experiments, Sensitivity Analysis, …. Verification Phase, Validation Phase, Techniques for increasing model Validity and Credibility.
Optimisation of Supply Chain Performance
KPI, Optimisation (definition, tools and classification), Optimising Processes
Decision Support Systems for Business Process Management
Structure of Decision-Support Systems, Integrating solution techniques (i.e. modelling, simulation, and optimisation.
The module will incorporate a range of learning teaching methods including: lectures, tutorials, class assignments, class discussions, software, case studies (best practices), and group projects. Teaching methodology will apply a 30% teacher-centred to 70% student-centred learning approaches which will assign a significant responsibility to the student in the learning process, for example; in the modelling phase, the participant will analyse the business process and start modelling after learning the basics in the first lectures and from the gained experiences in different context and practical examples/models. Evaluate the process logic and take responsibility for delivering an effective model will be the participant role under the lecture supervision. E-Learning and Kolb approach of teaching/learning are to be considered in the module learning.
|Module Content & Assessment