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

被引：8

作者：

Alnaqbi, A. ^{[1
,2
]}

Trochu, J. ^{[1
]}

Dweiri, F. ^{[2
]}

Chaabane, A. ^{[1
]}

机构：

[1] Ecole Technol Super, Dept Syst Engn, Montreal, PQ H3R 1G7, Canada

[2] Univ Sharjah, Dept Ind Engn & Engn Management, POB 27272, Sharjah, U Arab Emirates

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2023年 / 179卷

关键词：

Reverse logistics; Supply chain; Tactical planning; Merger; Mathematical modeling; Optimization; Uncertainty; Stochastic optimization; Oil and gas; STOCHASTIC-PROGRAMMING APPROACH; NETWORK DESIGN; HYDROCARBON BIOFUEL; HORIZONTAL MERGERS; DISRUPTION RISKS; OPTIMIZATION; MODEL; OPERATIONS; UPSTREAM; SYSTEMS;

D O I：

10.1016/j.cie.2023.109176

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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

引用

页数：15

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