A two-stage multi-echelon stochastic blood supply chain problem

Bayan Hamdan, Ali Diabat

    Research output: Contribution to journalArticle

    Abstract

    This paper presents a two-stage stochastic programming problem for red blood cells that simultaneously considers production, inventory and location decisions. In the first stage, the problem determines the number of mobile blood collection facilities to deploy, while the second stage determines inventory and production decisions. The problem aims to minimize three objective functions: the number of outdated units, system costs, and blood delivery time. Using the epsilon-constraint method, the tri-objective problem is converted to a single-objective mixed integer programming (MIP) problem which is solved using CPLEX for a real case study from The Hashemite Kingdom of Jordan. Finally, managerial insights are drawn from computational experiments.

    Original languageEnglish (US)
    Pages (from-to)130-143
    Number of pages14
    JournalComputers and Operations Research
    Volume101
    DOIs
    StatePublished - Jan 1 2019

    Fingerprint

    Multi-echelon
    Supply Chain
    Supply chains
    Blood
    Stochastic programming
    Integer programming
    Cells
    Red Blood Cells
    Stochastic Programming
    Mixed Integer Programming
    Computational Experiments
    Objective function
    Supply chain
    Costs
    Minimise
    Experiments
    Unit
    Production-inventory
    Red blood cells
    Jordan

    Keywords

    • Blood supply chains
    • Facility location
    • Inventory management
    • Perishable products
    • Red blood cells
    • Stochastic programming

    ASJC Scopus subject areas

    • Computer Science(all)
    • Modeling and Simulation
    • Management Science and Operations Research

    Cite this

    A two-stage multi-echelon stochastic blood supply chain problem. / Hamdan, Bayan; Diabat, Ali.

    In: Computers and Operations Research, Vol. 101, 01.01.2019, p. 130-143.

    Research output: Contribution to journalArticle

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