Supply chain engineering
Supply chain engineering is the engineering discipline that concerns the planning, design, and operation of supply chains.[1][2] Some of its main areas include logistics, production, and pricing.[2][3] It involves various areas in mathematical modelling such as operations research, machine learning, and optimization, which are usually implemented using software.[2][1]
Comparison with other disciplines
Supply chain engineering draws heavily from, and overlaps with other engineering disciplines such as industrial engineering, manufacturing engineering, systems engineering, information engineering, and software engineering. Although supply chain engineering and supply chain management have the same goals, the former is focused on a mathematical model-based approach, whereas the latter is focused on a more traditional management and business-based one.[1] Supply chain engineering can be seen as including supply chain optimization, although this can also be undertaken using more qualitative management-based approaches which are less of a focus in supply chain engineering.
Applications
Supply chain engineering is applied to all parts of supply chains, including:[3][1]
- Authentication and tracking, such as via RFID technology
- Financing
- Demand forecasting
- Facility location
- Logistics for both goods and people
- Pricing
- Production and manufacturing
Techniques
Supply chain engineering uses a wide variety of mathematical techniques such as:[2][1]
- Control theory, and particularly optimal control
- Optimization
- Forecasting
- Machine learning and artificial intelligence
- Operations research
- Flow network analysis
- Inventory management
- Routing
See also
References
- ^ a b c d e Ravindran, Ravi; Warsing, Donald Jr. (2017). Supply chain engineering : models and applications. CRC Press. ISBN 9781138077720.
- ^ a b c d Goetschalckx, Marc (11 August 2011). Supply chain engineering. Springer. ISBN 978-1-4419-6512-7.
- ^ a b Dolgui, Alexander; Proth, Jean-Marie (2 June 2010). Supply chain engineering : useful methods and techniques. Springer. ISBN 978-1-84996-017-5.
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Interdisciplinarity
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