A Mathematical Model Based on Supply Chain Optimization for International Petrochemical Engineering Projects

被引：0

作者：

Gao Ning ^{[1
,2
]}

Sun Wei ^{[1
]}

机构：

[1] Beijing Univ Chem Technol, Coll Chem Engn, Beijing 100029, Peoples R China

[2] SINOPEC Great Wall Energy & Chem Co Ltd, Beijing 100120, Peoples R China

来源：

CHINA PETROLEUM PROCESSING & PETROCHEMICAL TECHNOLOGY | 2015年 / 17卷 / 02期

关键词：

supply chain; optimization; model; engineering project; MINLP; INDUSTRY; OIL; UNCERTAINTY; CHALLENGES; MANAGEMENT; SIMULATION; FRAMEWORK; DESIGN;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Based on the study of supply chain (SC) and SC optimization in engineering projects, a mixed integer nonlinear programming (MINLP) optimization model is developed to minimize the total SC cost for international petrochemical engineering projects. A steam cracking project is selected and analyzed, from which typical SC characteristics in international engineering projects in the area of petrochemical industry are summarized. The MINLP model is therefore developed and applied to projects with detailed data. The optimization results are analyzed and compared by the MINLP model, indicating that they are appropriate to SC management practice in engineering projects, and are consistent with the optimal price-effective strategy in procurement. As a result, the model could provide useful guidance to SC optimization of international engineering projects in petrochemical industry, and improve SC management by selecting more reliable and qualified partner enterprises in SC for the project.

引用

页码：91 / 100

页数：10

共 20 条

[1] Rapid assessment and selection of engineered equipment suppliers [J].

Azambuja, Marcelo M. ;

O'Brien, William J. .

AUTOMATION IN CONSTRUCTION, 2012, 22 :587-596

[2] Supply chain design and analysis: Models and methods [J].

Beamon, BM .

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1998, 55 (03) :281-294

[3] CORO, a modeling and an algorithmic framework for oil supply, transformation and distribution optimization under uncertainty [J].

Escudero, LF ;

Quintana, FJ ;

Salmerón, J .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1999, 114 (03) :638-656

[4]

Gao N, 2013, CHINA PETROLEUM CHEM, P57

[5] Enterprise-wide optimization: A new frontier in process systems engineering [J].

Grossmann, I .

AICHE JOURNAL, 2005, 51 (07) :1846-1857

[6] Optimizing the supply chain of a petrochemical company under uncertain operating and economic conditions [J].

Lababidi, HMS ;

Ahmed, MA ;

Alatiqi, IM ;

Al-Enzi, AF .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2004, 43 (01) :63-73

[7] Supporting supply chain planning and scheduling decisions in the oil and chemical industry [J].

Lasschuit, W ;

Thijssen, N .

COMPUTERS & CHEMICAL ENGINEERING, 2004, 28 (6-7) :863-870

[8] Multiobjective optimisation of production, distribution and capacity planning of global supply chains in the process industry [J].

Liu, Songsong ;

Papageorgiou, Lazaros G. .

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2013, 41 (02) :369-382

[9] An advanced supply chain management tool based on modeling and simulation [J].

Longo, Francesco ;

Mirabelli, Giovanni .

COMPUTERS & INDUSTRIAL ENGINEERING, 2008, 54 (03) :570-588

[10] Supply chain modeling: past, present and future [J].

Min, H ;

Zhou, GG .

COMPUTERS & INDUSTRIAL ENGINEERING, 2002, 43 (1-2) :231-249

← 1 2 →