Steel supply chain management by simulation modelling

Maqsood Ahmad Sandhu, Petri Helo, Yohanes Kristianto

    Research output: Contribution to journalReview articlepeer-review

    30 Citations (Scopus)


    Purpose: The aim of this paper is to propose a simulation study of the "steel supply chain" to demonstrate the effect of inventory management and demand variety on the bullwhip effect mitigation. Design/methodology/approach: The relevant literature is reviewed, and then the simulation model proposed. Findings: This study identifies reasons for sharing information under varying levels of demand and some variants, and demonstrates the benefits of mitigating the bullwhip effect by applying a design of experiment. It is shown that the information sharing is able to mitigate the bullwhip effect in the steel supply chain by extending the order interval and minimising the order batch size. Research limitations/implications: This study explores the factors associated with the bullwhip effect. This research is focused on built-to-order simulation, so the results are only oriented on the basis of orders; hence a simultaneous order- and forecast-based steel supply chain should be carried out in the future. Practical implications: This framework is expected to provide a convenient way to measure the optimum inventory level against a limited level of demand uncertainty, and thus enterprises can promote the supply chain coordination. Originality/value: An innovative simulation model of the "steel supply chain" is proposed, which includes information sharing in the simulation model. Furthermore, dynamic scheduling is shown by applying a continuous ordering and order prioritization rule to replace traditional scheduling methods.

    Original languageEnglish
    Pages (from-to)45-61
    Number of pages17
    Issue number1
    Publication statusPublished - Feb 2013


    • Modelling
    • Simulation
    • Steel supply simulation
    • Supply chain management

    ASJC Scopus subject areas

    • Business and International Management
    • Strategy and Management


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