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Reliability-based decision making for selection of ready-mix concrete supply using stochastic superiority and inferiority ranking method
journal contributionposted on 2015-05-01, 00:00 authored by Jui-Sheng Chou, Citra Ongkowijoyo
Corporate competitiveness is heavily influenced by the information acquired, processed, utilized and transferred by professional staff involved in the supply chain. This paper develops a decision aid for selecting on-site ready-mix concrete (RMC) unloading type in decision making situations involving multiple stakeholders and evaluation criteria. The uncertainty of criteria weights set by expert judgment can be transformed in random ways based on the probabilistic virtual-scale method within a prioritization matrix. The ranking is performed by grey relational grade systems considering stochastic criteria weight based on individual preference. Application of the decision aiding model in actual RMC case confirms that the method provides a robust and effective tool for facilitating decision making under uncertainty.
JournalReliability engineering and system safety
Pagination29 - 39
LocationAmsterdam, The Netherlands
Publication classificationC1.1 Refereed article in a scholarly journal
Copyright notice2014, Elsevier Ltd.
CategoriesNo categories selected
Science & TechnologyTechnologyEngineering, IndustrialOperations Research & Management ScienceEngineeringMulti-criteria decision analysisSupply chain managementReady-mixed concreteStochastic processSuperiority and inferiority ranking (SIR) modelMONTE-CARLOWATER-RESOURCESMULTICRITERIAALTERNATIVESENVIRONMENTUNCERTAINTYSIMULATIONMODELAHP