Tactical supply chain planning after mergers under uncertainty with an application in oil and gas

نویسندگان

چکیده

With today's rapidly changing supply chain environment, it is essential to include uncertainty in an explicit manner planning models. Therefore, we propose a stochastic model for tactical of the Crude Oil Supply Chain (COSC) under cost and demand uncertainties. The mathematical considers multi-echelon with multi-products multi-period horizon. It integrates inventory backorder penalties. A Sample Average Approximation (SAA) procedure Multiple Replications Procedure (MRP) developed solve model. We illustrate how our directly applies planning. present numerical results that show impact on decisions synergy gains. also measure value modeling against deterministic characterize cost/bbl after merger shared services uncertainty.

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ژورنال

عنوان ژورنال: Computers & Industrial Engineering

سال: 2023

ISSN: ['0360-8352', '1879-0550']

DOI: https://doi.org/10.1016/j.cie.2023.109176