scholarly journals Parallel simulation and optimization framework of supplies production processes for unconventional emergencies

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0261771
Author(s):  
Dan Zhu ◽  
Yaoyao Wei ◽  
Hainan Huang ◽  
Tian Xie
Keyword(s):  
Manufacturing Systems ◽  
Production Efficiency ◽  
Parallel Implementation ◽  
Parallel Simulation ◽  
Artificial System ◽  
Simulation And Optimization ◽  
Implementation Processes ◽  
Optimization Framework ◽  
Production Processes ◽  
Physical Experiments

The outbreak of unconventional emergencies leads to a surge in demand for emergency supplies. How to effectively arrange emergency production processes and improve production efficiency is significant. The emergency manufacturing systems are typically complex systems, which are difficult to be analyzed by using physical experiments. Based on the theory of Random Service System (RSS) and Parallel Emergency Management System (PeMS), a parallel simulation and optimization framework of production processes for surging demand of emergency supplies is constructed. Under this novel framework, an artificial system model paralleling with the real scenarios is established and optimized by the parallel implementation processes. Furthermore, a concrete example of mask shortage, which occurred at Huoshenshan Hospital in the COVID-19 pandemic, verifies the feasibility of this method.

scholarly journals Combined simulation and optimization framework for irrigation scheduling in agriculture fields

2021 ◽  
Author(s):  
Mireia Fontanet ◽  
Daniel Fernàndez-Garcia ◽  
Gema Rodrigo ◽  
Francesc Ferrer ◽  
Josep Maria Villar
Keyword(s):  
Crop Yields ◽  
Root Zone ◽  
Growing Season ◽  
Irrigation Scheduling ◽  
Irrigated Agriculture ◽  
Traditional Methods ◽  
Simulation And Optimization ◽  
Optimization Framework ◽  
Net Margin ◽  
Combined Simulation

AbstractIn the context of growing evidence of climate change and the fact that agriculture uses about 70% of all the water available for irrigation in semi-arid areas, there is an increasing probability of water scarcity scenarios. Water irrigation optimization is, therefore, one of the main goals of researchers and stakeholders involved in irrigated agriculture. Irrigation scheduling is often conducted based on simple water requirement calculations without accounting for the strong link between water movement in the root zone, soil–water–crop productivity and irrigation expenses. In this work, we present a combined simulation and optimization framework aimed at estimating irrigation parameters that maximize the crop net margin. The simulation component couples the movement of water in a variably saturated porous media driven by irrigation with crop water uptake and crop yields. The optimization component assures maximum gain with minimum cost of crop production during a growing season. An application of the method demonstrates that an optimal solution exists and substantially differs from traditional methods. In contrast to traditional methods, results show that the optimal irrigation scheduling solution prevents water logging and provides a more constant value of water content during the entire growing season within the root zone. As a result, in this case, the crop net margin cost exhibits a substantial increase with respect to the traditional method. The optimal irrigation scheduling solution is also shown to strongly depend on the particular soil hydraulic properties of the given field site.

PRACTICAL PRODUCTION LAYOUT DESIGN FOR MULTI-PRODUCT AND SMALL-LOT-SIZE PRODUCTION: A CASE STUDY

2016 ◽  
Vol 78 (7) ◽  
Author(s):  
Cheng Ying, Nyeoh ◽  
Hasnida Ab-Samat ◽  
Shahrul Kamaruddin
Keyword(s):  
Manufacturing Systems ◽  
Production Efficiency ◽  
Job Shop ◽  
Flow Line ◽  
Facility Layout ◽  
Layout Design ◽  
Simulation Software ◽  
Utilization Rate ◽  
Lot Size ◽  
Related Data

Facility layout design has an important function in manufacturing systems because it affects manufacturing costs, work in progress, lead times, and production output. This study presents facility layout designs for multi-product and small-lot-sized production lines. This research focuses on the development and analysis of layout alternatives on the basis of performance measures and aims to improve production efficiency. Thus, the tools and techniques available for the layout designed were investigated. Related data were collected, and alternative layouts were developed using the WITNESS simulation software. Finally, the alternative layouts were ana1yzed and evaluated using the analytic hierarchy process to identify the best possible layout. Two important parameters observed in the alternative layouts: the ability to produce a desired output and the flexibility of each layout coherent with the fluctuation of product demands in the industry. Results from analysis shows that suggested Model 3 with the combination of flow line and job shop configurations is the most suitable layout. This model has the highest machine utilization rate and the highest labour utilization rate yet requires only 21 operators, the lowest number of workers. For future work, this type of layout should be tested with different variation in lot sizes.

Demand Forecasting in Hybrid MTS/MTO Production Systems

2018 ◽  
Vol 5 (1) ◽  
pp. 63-78
Author(s):  
Moeen Sammak Jalali ◽  
S.M.T. Fatemi Ghomi
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Manufacturing Systems ◽  
Production Efficiency ◽  
Production Systems ◽  
Demand Forecasting ◽  
Series Analysis ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Manufacturing Environments

This article describes how simplifying production-planning approaches for demand responsiveness has been well recognized as an operative means of accomplishing production efficiency. To support an effective decision making in manufacturing environments, this study will focus on adopting time series analysis concepts. It will attempt to focus on bringing forward novel structures for classifications of available surveying materials, which helps companies using time series analysis within production strategies to make a logical prediction of demands in hybrid manufacturing systems. In this regard, the authors will present two different categorizing structures as efficient ways of helping practitioners and academicians to find new approaches for applying near possible future forecasts by means of time series analysis methods.

Improving of Manufacturing Systems in Slovak Industrial Enterprises

2013 ◽  
Vol 774-776 ◽  
pp. 1361-1368 ◽  
Author(s):  
Natália Horňáková ◽  
Helena Vidová ◽  
Martin Beluský
Keyword(s):  
Manufacturing Systems ◽  
Theoretical Knowledge ◽  
Simulation And Optimization ◽  
Industrial Enterprises ◽  
New Approaches

The paper deals with the issues of Slovak industrial enterprises in the field of Logistics and Manufacturing. The authors describe theoretical possibilities of improving manufacturing systems through the use of Kaizen, Simulation and Optimization. Authors also present results of the survey, which was conducted in Slovak industrial enterprises. The last part of the paper shows practical examples of improving manufacturing systems using different methods. The main aim of the paper is to summarise theoretical knowledge for the improvement of manufacturing systems through Kaizen and Optimisation by Simulation, compare results of the survey in Slovak industrial enterprises and finally suggest new approaches for industrial enterprises to improve their manufacturing systems.

CoSMSOL: Complex system modeling, simulation and optimization language

2017 ◽  
Vol 08 (02) ◽  
pp. 1741002 ◽  
Author(s):  
Bo Hu Li ◽  
Xiao Song ◽  
Lin Zhang ◽  
Jing Liu ◽  
Peng Chi ◽  
...  
Keyword(s):  
Complex System ◽  
System Modeling ◽  
Continuous System ◽  
Agent Based ◽  
Simulation And Optimization ◽  
Implementation Processes ◽  
Modeling Simulation ◽  
Simulation Language ◽  
Intelligent Optimization Algorithms ◽  
Complex System Modeling

Complex System Modeling, Simulation and Optimization Language (CoSMSOL) is problem-oriented and designed to run on multi-core computers. This paper provides the system environment of CoSMSOL and proposes the modeling methods of complex system, language text specification, function library, algorithm library, parallel simulation algorithms and intelligent optimization algorithms which support continuous system, discrete system and agent systems. Also, we developed a simulation language compiler of CoSMSOL, which is employed in two case studies generating a multi-entity war gaming system and an aerodynamic spacecraft model. The two cases illustrate main functions and implementation processes of CoSMSOL. The results validate that CoSMSOL is useful to model agent-based system and aerospace system.

scholarly journals Job-shop Scheduling Over a Heterogeneous Platform

2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Hector Benitez-Perez ◽  
Jose A. Hermosillo-Gomez
Keyword(s):  
Embedded System ◽  
Manufacturing Systems ◽  
Production Efficiency ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Human Interaction ◽  
Periodic Tasks ◽  
Real Time Scheduling ◽  
Shop Scheduling ◽  
Heterogeneous Platform

Real-time scheduling involves determining the allocation of platform resources in such a way tasks can meet their temporal restrictions. This work focuses on job-shop tasks model in which a task have a finite number of nonpreemptive different instances (jobs) that share a unique hard deadline and their time requirements are known until task arrival. Non-preemptive scheduling is considered because this characteristic is widely used in industry. Besides job-shop scheduling has direct impacts on the production efficiency and costs of manufacturing systems. So that the development of analysis for tasks with these characteristics is necessary. The aim of this work is to propose an online scheduling test able to guarantee the execution of a new arriving task, which is generated by human interaction with an embedded system, otherwise to discart it. An extension of the schedulability test proposed by Baruah in 2006 for non-preemptive periodic tasks over an identical platform is presented in this paper. Such extension is applied to non-preemptive tasks that have hard deadlines over a heterogeneous platform. To do that, some virtual changes over both the task set and the platform are effectuated.

scholarly journals DEVELOPMENT OF AN INTELLIGENT AUTOMATED INSTRUMENT STORAGE COMPLEX

2021 ◽  
pp. 168-172
Author(s):  
Т.А. Онуфриева ◽  
А.С. Голубев
Keyword(s):  
Production Efficiency ◽  
Storage System ◽  
Measurement Systems ◽  
Industrial Enterprises ◽  
Improve Production ◽  
Production Processes ◽  
Main Components ◽  
Automated Instrument ◽  
Improve Production Efficiency

Автоматизация производственных процессов на предприятии помогает максимально эффективно организовать работу производства, существенно снизить нагрузку на отдельных людей. Целью работы является разработка интеллектуального автоматизированного комплекса хранения инструментов. Актуальность разработки обусловлена необходимостью повышения эффективности производства за счет правильной организации и планирования производственных процессов и площадей, приведения данных процессов в соответствие с современными требованиями к информационно-измерительным системам. В данной статье рассматривается концепция создания интеллектуального автоматизированного комплекса хранения инструментов, описываются основные составляющие комплекса, рассматриваются принципы их взаимодействия, приводится алгоритм работы пользователя с ячейками системы хранения при выполнении операции внесения инструмента.Результатом исследования является разработка оригинального комплекса хранения инструмента, который применим на промышленных предприятиях различного профиля. Automation of production processes at an enterprise helps to organize the work of production as efficiently as possible, significantly reduce the workload on individual people. The aim of the work is to develop an intelligent automated complex for storing tools. The relevance of the development is due to the need to improve production efficiency through the correct organization and planning of production processes and areas, bringing these processes in line with modern requirements for information and measurement systems. This article discusses the concept of creating an intelligent automated complex for storing tools, describes the main components of the complex, discusses the principles of their interaction, provides an algorithm for the user's work with the cells of the storage system during the operation of inserting the tool.The result of the research is the development of an original tool storage complex, which is applicable at industrial enterprises of various profiles.

Sign in / Sign up

Export Citation Format

Share Document