Multi-objective optimization of total cost, risk and business fulfillment of a real-world supply network

Dobrila Petrovic, Magdalena Kalata

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

The paper considers a complex real-world supply network with one manufacturer and 19 of first tier suppliers and demand for one end product. Uncertainties in supply delivery time and non-conformance of supplied components are modelled using fuzzy numbers. Uncertainty in supply is handled using safety stock and safety stock. A novel fuzzy, multi-objective optimization model for the supply network is developed. It includes three objectives: minimisation of the total supply network cost, minimisation of risk related to selected suppliers and maximization of fulfilment of the business strategy. Various experiments are carried out to demonstrate effectiveness of the proposed model.
Original languageEnglish
Title of host publicationJoining P&OM forces worldwide 
Subtitle of host publicationpresent and future of operations management : proceedings
Place of PublicationHavana, Cuba
Publisher 5th World Production and Operations Management Conference, P&OM
ISBN (Print)9789592615311
Publication statusPublished - 2016
Event5th World Conference on Production and Operations Management - Havana, Cuba
Duration: 6 Sep 201610 Sep 2016

Conference

Conference5th World Conference on Production and Operations Management
CountryCuba
CityHavana
Period6/09/1610/09/16

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  • Cite this

    Petrovic, D., & Kalata, M. (2016). Multi-objective optimization of total cost, risk and business fulfillment of a real-world supply network. In Joining P&OM forces worldwide : present and future of operations management : proceedings Havana, Cuba: 5th World Production and Operations Management Conference, P&OM.