scholarly journals Computer simulation of warehouse processes using the Enterprise Dynamics software

2018 ◽  
Vol 19 (6) ◽  
pp. 1026-1029
Author(s):  
Paweł Dobrzański ◽  
Magdalena Dobrzańska
Keyword(s):  
Computer Simulation ◽  
Modeling And Simulation ◽  
High Efficiency ◽  
Warehouse Management ◽  
Storage Process ◽  
Modern Equipment ◽  
Simulation Tools ◽  
Reducing Costs ◽  
Warehouse Operations ◽  
Reduction Of Costs

The dynamic development of industry and trade in recent years has forced the need to use new solutions in the field of warehouse management. The main reason for the changes being introduced is the optimization of the time of completing warehouse operations while reducing costs. This forces the reorganization of warehouses, warehouse operations and the introduction of modern equipment and devices used during the storage process. To ensure high efficiency and reduction of costs of warehouse processes, appropriate programs and simulation tools are used. The article presents the possibilities and benefits of software for modeling and simulation of processes taking place in warehouses.

Problematics of planning transport of dangerous goods with the use of simulation tools

2019 ◽  
Vol 124 ◽  
pp. 181-191
Author(s):  
Tomasz R. Waśniewski ◽  
Jolanta Żak ◽  
Katarzyna Jóźwiak ◽  
Andrzej Świderski
Keyword(s):  
Computer Simulation ◽  
Modeling And Simulation ◽  
3D Modeling ◽  
Computer Software ◽  
Road Transport ◽  
Transport Planning ◽  
Simulation Tools ◽  
Dangerous Goods ◽  
Transport Of Dangerous Goods ◽  
Timely Delivery

The article discusses the most important aspects regarding the planning of dangerous goods transport routes resulting from the provisions of the ADR agreement. Among other things, it touched upon issues related to road transport planning of this type of materials, the problem of setting safe routes, enabling timely delivery. Attention is paid to the possibility of using computer simulation tools supporting the planning of transport of dangerous goods. The method of using computer software for 3D modeling and Simulation and ProcessFlow for creating decision blocks has been presented.

scholarly journals SFlex-WMS: a novel multi-expert system for flexible logistics and warehouse operation in the context of Industry 4.0

2021 ◽  
Vol 124 ◽  
pp. 10002
Author(s):  
Sokchoo Ng ◽  
Vin Cent Tai ◽  
Yong Chai Tan ◽  
Nor Faiza Abd Rahman
Keyword(s):  
Human Error ◽  
Process Time ◽  
Warehouse Management ◽  
Production Lines ◽  
Major Work ◽  
Environment Model ◽  
Warehouse Operation ◽  
Physical Changes ◽  
Warehouse Operations ◽  
Production Problems

Production lines form the backbone of a manufacturing plant while the warehouse is the heart that pumps the supplies through logistics veins. However, logistics issues among manufacturing industries are well known for causing downstream production problems. Non-transparent warehouse operation and inevitable human error in logistics activities seriously jeopardise the entire downstream manufacturing processes. Existing warehouse management solutions require many sensors spanning the warehouse for tracking logistics activities which are cost-ineffective and inflexible. One aspect of intelligent WMS that has not been explored is the integration of computer vision modeling with Artificial Intelligence (AI) to create a more flexible, transparent, and autonomous warehouse management system (WMS). This study aims to devise a Smart and Flexible WMS (SFlex-WMS) to improve logistics operations in terms of operation costs, process time, and space utilisation. The highlight of the proposed framework is the two major work packages (WP) which focus on flexible, autonomous sensing mechanisms for inventory, logistics tracking, and space mapping, as well as reconstructing the warehouse environment model that reflects all physical changes in the warehouse. SFlex-WMS intends to realize real-time transparent monitoring of warehouse operations. By exploiting the outputs from both WPs, SFlex-WMS is expected to achieve more effective and flexible warehouse operations.

A computational prototyping environment interface for DoD CREATE™-AV Helios simulations

2021 ◽  
Author(s):  
Robert Haehnel ◽  
Scott Christensen ◽  
J. Whitlow ◽  
Andrew Bauer ◽  
Ari Meyer ◽  
...  
Keyword(s):  
Time Series ◽  
Modeling And Simulation ◽  
High Performance Computing ◽  
Department Of Defense ◽  
High Performance ◽  
Data Input ◽  
Web Based ◽  
Simulation Tools ◽  
Parametric Studies ◽  
Performance Computing

Computational Prototyping Environment (CPE) is a web-based portal designed to simplify running Department of Defense (DoD) modeling and simulation tools on the DoD Supercomputing Resource Center’s (DSRC) High Performance Computing (HPC) systems. The first of these tools to be deployed in the CPE is an application (app) to conduct parametric studies and view results using the CREATE-AV Helios CFD software. Initial capability includes hover (collective sweep) and forward flight (speed sweep) performance calculations. The CPE Helios app allows for job submission to a DSRC’s HPC system and for the viewing of results created by Helios, i.e., time series and volumetric data. Example data input and results viewing are presented. Planned future functionality is also outlined.

OPEN ONTOLOGY-BASED INTEGRATION PLATFORM FOR MODELING AND SIMULATION IN ENGINEERING

2012 ◽  
Vol 03 (02) ◽  
pp. 1250004 ◽  
Author(s):  
TOMMI KARHELA ◽  
ANTTI VILLBERG ◽  
HANNU NIEMISTÖ
Keyword(s):  
Modeling And Simulation ◽  
System Integration ◽  
Data Modeling ◽  
Simulation Tools ◽  
Semantic Data ◽  
Engineering Information ◽  
Mapping Techniques ◽  
Aided Design ◽  
And Control ◽  
Semantic Data Modeling

The benefits of the use of modeling and simulation in engineering are acknowledged widely. It has proven its advantages e.g., in virtual prototyping i.e., simulation aided design and testing as well as in training and R&D. It is recognized to be a tool for modern decision making. However, there are still reasons that slow down the wider utilization of modeling and simulation in companies. Modeling and simulation tools are separate and are not an integrated part of the other engineering information management in the company networks. They do not integrate well enough into the used CAD, PLM/PDM and control systems. The co-use of the simulation tools themselves is poor and the whole modeling process is considered often to be too laborious. In this article we introduce an integration solution for modeling and simulation based on the semantic data modeling approach. Semantic data modeling and ontology mapping techniques have been used in database system integration, but the novelty of this work is in utilizing these techniques in the domain of modeling and simulation. The benefits and drawbacks of the chosen approach are discussed. Furthermore, we describe real industrial project cases where this new approach has been applied.

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