An integrated decision support system for strategic supply chain optimisation in process industries: the case of a zinc company

Narain Gupta, Goutam Dutta and Manoj K. Tiwari

International Journal of Production Research, 2018, vol. 56, issue 17, 5866-5882

Abstract: We introduce a menu-driven user-friendly decision support system (DSS) for supply chain planning based on optimisation. The DSS is based on a multi-source (supplier), multi-destination (warehouse) network having multiple manufacturing facilities, with multiple materials and multiple storage areas. This integrated supply chain model performs multiple period planning. The use of this DSS requires little knowledge of management sciences tools. We discuss the need for an integrated approach towards supply chain modelling for the process industry. We present the integrated model in the form of a database structure. We validate the model with the real data of a zinc company and demonstrate the impact of optimisation in terms of percentage improvement. The result shows that it is possible to improve unit contribution to profit from 1.89 to 4.66%.

Date: 2018
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DOI: 10.1080/00207543.2018.1456698

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