Coupling system dynamics analysis and risk aversion programming for optimizing the mixed noise-driven shale gas-water supply chains

2021 ◽  
Vol 278 ◽  
pp. 123209 ◽  
Author(s):  
Yizhong Chen ◽  
Jing Li ◽  
Hongwei Lu ◽  
Pengdong Yan
Keyword(s):  
Risk Aversion ◽  
Water Supply ◽  
System Dynamics ◽  
Supply Chains ◽  
Shale Gas ◽  
Dynamics Analysis ◽  
Coupling System ◽  
Mixed Noise

Integration of car-body flexibility into train–track coupling system dynamics analysis

2017 ◽  
Vol 56 (4) ◽  
pp. 485-505 ◽  
Author(s):  
Liang Ling ◽  
Qing Zhang ◽  
Xinbiao Xiao ◽  
Zefeng Wen ◽  
Xuesong Jin
Keyword(s):  
System Dynamics ◽  
Dynamics Analysis ◽  
Train Track ◽  
Car Body ◽  
Coupling System

scholarly journals System Dynamics Analysis of Man-Machine Efficacy in Plateau Mines

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 18072-18084
Author(s):  
Duiming Guo ◽  
Guoqing Li ◽  
Nailian Hu ◽  
Jie Hou
Keyword(s):  
System Dynamics ◽  
Dynamics Analysis

System dynamics model of production-inventory-routing system in the green supply chain

2021 ◽  
pp. 1-14
Author(s):  
Katayoun Naderi ◽  
Roya M. Ahari ◽  
Javid Jouzdani ◽  
Atefeh Amindoust
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Supply Chains ◽  
Transportation Cost ◽  
Green Supply Chain ◽  
Ideal Condition ◽  
Inventory Routing ◽  
Production Inventory ◽  
Fierce Competition ◽  
Maximum Production Rate

Fierce competition in the global markets forced companies to improve the design and management of supply chains, because companies are always looking for more profit and higher customer satisfaction. The emergence of the green supply chain is one of the most important developments of the last decade. It provides an opportunity for companies to adjust their supply chains according to environmental goals and sustainability. The integrated production-inventory-routing is a new field that aims to optimize these three decision-making levels. It can be described as follow: a factory produces one or more products, and sells them to several customers (by direct delivery or a specific customer chain). The current study aims to model a production-inventory-routing system using a system dynamics approach to design a green supply chain under uncertain conditions. For this purpose, first, the association between selected variables was determined. Then, the proposed model was validated. Finally, to identify variables with the highest influence, four scenarios were developed. The results indicated that minimum total transportation cost, the total warehouse capacity of the supply chain, and the maximum production rate are the most influential strategies to achieve ideal condition.

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