Planning and optimising petroleum supply chain

被引：7

作者：

Saad, Sameh M. ^{[1
]}

Elsaghier, Elganidi H. ^{[1
]}

Ezaga, David ^{[1
]}

机构：

[1] Sheffield Hallam Univ, Dept Engn & Math, Sheffield S1 1WB, S Yorkshire, England

来源：

28TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2018): GLOBAL INTEGRATION OF INTELLIGENT MANUFACTURING AND SMART INDUSTRY FOR GOOD OF HUMANITY | 2018年 / 17卷

关键词：

Petroleum supply chain; logistics; simulation; mathematics; optimisation; OPTIMIZATION; UNCERTAINTY;

D O I：

10.1016/j.promfg.2018.10.131

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The purpose of this paper is to develop and implement an integrated framework for planning and optimising petroleum supply chain (SC). The framework consists of two stages; first-stage is to address mathematically the strategic planning and the optimisation of the extracted oil which is needed within the petroleum supply chain. While the second stage focuses on the operational planning of the refinery area using a combined discrete and continues simulation modelling techniques. The simulation model considered the following factors: Input Rate, Oil Quality, Distillation Capacity and Number of Failed Separators which are analysed against the performance measures: Total Products and Equipment Utilisation. The results obtained from the experiment are analysed statistically using SPSS Program. (C) 2018 The Authors. Published by Elsevier B.V.

引用

页码：803 / 810

页数：8

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