Modelling, Simulation and Optimization of Product Flow in a Multi-products Manufacturing Unit: A Case Study

2019 ◽  
pp. 185-214
Author(s):  
Janpriy Sharma ◽  
Arvind Jayant
Keyword(s):  
Simulation And Optimization ◽  
Product Flow ◽  
Modelling Simulation

Neurosurgery planning based on automated image recognition and optimal path design

2021 ◽  
Vol 69 (8) ◽  
pp. 708-721
Author(s):  
Annika Hackenberg ◽  
Karl Worthmann ◽  
Torben Pätz ◽  
Dörthe Keiner ◽  
Joachim Oertel ◽  
...  
Keyword(s):  
Optimal Path ◽  
Planning Problem ◽  
Simulation And Optimization ◽  
Ellipsoidal Approximations ◽  
Set Up ◽  
The Brain ◽  
Path Planning Problem ◽  
Automated Image Recognition ◽  
Modelling Simulation

Abstract Stereotactic neurosurgery requires a careful planning of cannulae paths to spare eloquent areas of the brain that, if damaged, will result in loss of essential neurological function such as sensory processing, linguistic ability, vision, or motor function. We present an approach based on modelling, simulation, and optimization to set up a computational assistant tool. Thereby, we focus on the modeling of the brain topology, where we construct ellipsoidal approximations of voxel clouds based on processed MRI data. The outcome is integrated in a path-planning problem either via constraints or by penalization terms in the objective function. The surgical planning problem with obstacle avoidance is solved for different types of stereotactic cannulae using numerical simulations. We illustrate our method with a case study using real MRI data.

scholarly journals Procuring load curtailment from local customers under uncertainty

2017 ◽  
Vol 375 (2100) ◽  
pp. 20160311 ◽  
Author(s):  
Aleksandar Mijatović ◽  
John Moriarty ◽  
Jure Vogrinc
Keyword(s):  
Energy Management ◽  
Probabilistic Modelling ◽  
Demand Side ◽  
Power Network ◽  
Flexible Approach ◽  
Simulation And Optimization ◽  
Load Curtailment ◽  
Demand Side Response ◽  
Modelling Simulation

Demand side response (DSR) provides a flexible approach to managing constrained power network assets. This is valuable if future asset utilization is uncertain. However there may be uncertainty over the process of procurement of DSR from customers. In this context we combine probabilistic modelling, simulation and optimization to identify economically optimal procurement policies from heterogeneous customers local to the asset, under chance constraints on the adequacy of the procured DSR. Mathematically this gives rise to a search over permutations, and we provide an illustrative example implementation and case study. This article is part of the themed issue ‘Energy management: flexibility, risk and optimization’.

Modelling, Simulation and Optimization of a Packaging and Palletizing System

2015 ◽  
Vol 760 ◽  
pp. 205-211
Author(s):  
Cicerone Laurentiu Popa ◽  
Costel Emil Cotet ◽  
Stefan Gavrila ◽  
Valentin Ionita
Keyword(s):  
Material Flow ◽  
Flow System ◽  
Simulation Software ◽  
Single Type ◽  
Flow Management ◽  
Simulation And Optimization ◽  
Management Case Study ◽  
And Storage ◽  
Modelling Simulation

This paper presents a material flow management case study based on our research in modelling, simulation and optimization for a packaging and palletizing system. The studied system allows packaging, palletizing, wrapping and storage of several types of products within a food company. For each type of product to be packaged and stored a material flow system simulation is necessary in order to identify and eliminate the bottlenecks and to obtain an optimized system in terms of productivity. Because the optimization algorithm is the same for different kind of products we will illustrate our research using a single type of product. We will focus the case study on packaging coffee bags in boxes. The boxes are positioned on pallets in order to create a stack that will be wrapped for storage. We used Flexim 7 simulation software for modelling, simulation and optimization of the packaging and palletizing system.

scholarly journals Ammonia converter Simulation and Optimization Based on an Innovative Correlation for (KP) Prediction

2021 ◽  
Vol 23 (12) ◽  
pp. 323-338
Author(s):  
Muhammad El-Gharbawy ◽  
◽  
Walaa Shehata ◽  
Fatima Gad ◽  
◽  
...  
Keyword(s):  
Flow Reactor ◽  
Ammonia Synthesis ◽  
Plug Flow ◽  
Simulation And Optimization ◽  
Aspen Hysys ◽  
Simulation Techniques ◽  
Suitable Form ◽  
Reactor Temperature ◽  
Reaction Rate Equation

In this paper, the simulation and optimization of an industrial ammonia synthesis reactor is illustrated. The converter under study is of a vertical design, equipped with three radial-flow catalyst beds with inter-stage cooling and two quenching points. For building the model, a modified kinetic equation of ammonia synthesis reaction, based on Temkin- Pyzhev equation and an innovative correlation for (KP) prediction, was developed in suitable form for the implementation in Aspen HYSYS plug flow reactor using the spreadsheet embedded in the software with the introduction of some invented simulation techniques. A new parameter, which is a function of (T, P and α), was introduced into the reaction rate equation to account for the variation of KP with pressure. The simulation model is able to describe the converter behavior with acceptable accuracy. A case study was done, using Aspen HYSYS Optimizer, illustrated the optimum reactor temperature profile, after 12 years of operation, to achieve maximum production. The result predicts an increase of 8 tons ammonia per day accompanied with an increase of steam production of 12 tons per day.

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