scholarly journals Evaluating Refinery Supply Chain Policies and Investment Decisions Through Simulation-Optimization

2006 ◽  
Author(s):  
Lee Koo ◽  
Yuhong Chen ◽  
Arief Adhitya ◽  
Rajagopalan Srinivasan ◽  
Iftekhar Karimi
Keyword(s):  
Supply Chain ◽  
Simulation Optimization ◽  
Investment Decisions

Experiences in Modeling, Simulation, and Optimization of Chemical Industry Supply Chains

Manufacturing ◽  
2002 ◽  
Author(s):  
Charles R. Standridge ◽  
David R. Heltne
Keyword(s):  
Supply Chain ◽  
Simulation Model ◽  
Production Planning ◽  
Simulation Optimization ◽  
Process Industry ◽  
Plant Production ◽  
Optimization Models ◽  
Individual Plant ◽  
Simulation And Optimization ◽  
Combined Simulation

We have developed and applied simulation as well as combined simulation – optimization models to represent process industry plant logistics and supply chain operations. The simulation model represents plant production, inventory, and shipping operations as well as inter-plant shipments. When a combined simulation-optimization approach is used, the simulation periodically invokes a classical production planning optimization model to set production and shipping levels. These levels are retrieved by and used in the simulation model. Process industry supply chain operations include stochastic elements such as customer demands whose expected values may vary in time as well as transportation lead times. The complexity of individual plant operations and logistics must be considered. Simulation provides the methods needed to integrate these elements in a single model. Periodically during a simulation run, production planning decisions that require optimization models may be made. Simulation experimental results are used to determine service levels to end customers as well as to set rail fleet sizes, inventory capacities, and capital equipment requirements for logistics as well as to assess alternative shipping schedules.

scholarly journals Organic Food Labeling and Advertising: A Tripartite Game Model between One Supplier and Two Heterogeneous Manufacturers

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Jun Wang ◽  
Song Yao ◽  
Xinman Lu ◽  
Yu Li
Keyword(s):  
Supply Chain ◽  
Food Industry ◽  
Organic Food ◽  
Investment Decisions ◽  
Game Model ◽  
Pareto Improvement ◽  
Food Supply Chain ◽  
Dominant Strategies ◽  
Organic Food Industry ◽  
Diffusion Of Responsibility

The development of the organic food industry is of great significance to the environment and society as consumers increasingly prefer green and healthy food. However, certain production and investment problems must be solved. A tripartite game model is established in this study to investigate the labeling and advertising investment decisions in an organic food supply chain composed of one supplier and two heterogeneous manufacturers by the biform game approach. In addition, a subsidy mechanism is introduced to alleviate underinvestment. The results show that, first, the supplier will label if labeling cost is relatively low without considering advertising investment. Second, the supplier will not label if advertising investment is considered because of the “diffusion of responsibility” mentality, and both manufacturers will invest in advertising as a result of equilibrium in dominant strategies. Third, the advertising subsidy mechanism can achieve Pareto improvement and coordinate the supply chain. Finally, manufacturer heterogeneity will lead to differentiated subsidy strategies that the supplier can claim to give additional subsidies to the weak manufacturer, thereby weakening the “diffusion of responsibility” mentality.

Research on Simulation Optimization for Supply Chain Management of Manufacturing Enterprises

2014 ◽  
Vol 644-650 ◽  
pp. 5699-5702
Author(s):  
Li Fang Zhang
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Market Economy ◽  
Simulation Experiment ◽  
Simulation Optimization ◽  
Computer Language ◽  
Chain Management ◽  
Manufacturing Enterprises ◽  
System 2

Against the backdrop of market economy, the number of monopoly enterprises is decreasing. More and more enterprises inevitably have to be faced with the threats from their competitors and alternative products. Competition in a great many fields has entered a drastic phase, which makes a growing number of enterprises be aware of the fact that competition between all enterprises is just part of sustainable development and supply chain is definitely the secret of success for enterprises.Process of Simulation.Research of simulation usually involves the following aspects.Understand the system (2)Confirm the aim (3)Make a model with normative forms (4)Realize the model with computer language or software (5)Test whether the computer language truly demonstrates the notion of the model (6)Experiment design (7)Simulation experiment operation (8) Explore the essence (9)Put up a text for the work finished

Robust Simulation Optimization for Supply Chain Problem under Uncertainty via Neural Network Metamodeling

2021 ◽  
pp. 107693
Author(s):  
Seyed Mohammad Ebrahim Sharifnia ◽  
Sajjad Amrollahi Biyouki ◽  
Rupy Sawhney ◽  
Hoon Hwangbo
Keyword(s):  
Neural Network ◽  
Supply Chain ◽  
Simulation Optimization ◽  
Chain Problem
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