Designing a stochastic multi-objective simulation-based optimization model for sales and operations planning in built-to-order environment with uncertain distant outsourcing

2020 ◽  
Vol 104 ◽  
pp. 102103
Author(s):  
Rouzbeh Aiassi ◽  
Seyed Mojtaba Sajadi ◽  
Seyyed Mohammad Hadji-Molana ◽  
Ali Zamani-Babgohari
Keyword(s):  
Optimization Model ◽  
Operations Planning ◽  
Multi Objective ◽  
Simulation Based ◽  
Simulation Based Optimization

Efficient container stacking approach to improve handling: efficiency in Chinese rail–truck transshipment terminals

SIMULATION ◽  
2019 ◽  
Vol 96 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Wang Li ◽  
Zhu Xiaoning ◽  
Xie Zhengyu
Keyword(s):  
Optimization Model ◽  
Experimental Results ◽  
Computational Experiments ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Container Stacking ◽  
Simulation Based ◽  
Allocation Preferences

An efficient container stacking approach is vital to the handling efficiency of container transshipment terminals. In this paper, by considering container allocation preferences and operation distance, the container stacking problem in rail–truck transshipment terminals has been formulated as a multi-objective optimization model to minimize container overlapping amounts and crane moving distance. A simulation-based algorithm implementing process has been developed to stack containers to the optimum positions. Computational experiments on data from a rail–truck transshipment terminal in China are conducted to test the efficiency of the proposed approach. Experimental results demonstrate that the container stacking approach is efficient and significant for improving handling efficiency in rail–truck transshipment terminals.

scholarly journals Simulation-based analysis of shared manufacturing systems

2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Gustavo Furtado da Silva ◽  
Nelson Casarotto Filho ◽  
Enzo Morosini Frazzon
Keyword(s):  
Information And Communication Technologies ◽  
Optimization Model ◽  
Manufacturing Systems ◽  
Ad Hoc ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Information And Communication ◽  
Traditional Manufacturing ◽  
The One ◽  
Resources Sharing

Abstract Advancements in information and communication technologies are encouraging researches in shared manufacturing systems, especially on current high-competitiveness and low-resources scenarios. This paper aims to compare productive resources sharing with traditional manufacturing systems by using a simulation-based optimization model. The model is based on the One Product Integrated Manufacturing paradigm in which the efficiency optimization is pursued by designing ad-hoc virtual factories allocating the best resources available on an existing network. The proposed simulation-based optimization model is capable of identifying the best production path and plan for different distances between network members. Along with a better overall efficiency, it is also possible to argue that dedicated virtual factories ease the identification of problems and allow for improvements without negatively affecting other resources.

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