scholarly journals Data-Driven Manufacturing Simulation: Towards a CPS-Based Approach

2020 ◽  
Author(s):  
Yongkuk Jeong ◽  
Amita Singh ◽  
Masoud Zafarzadeh ◽  
Magnus Wiktorsson ◽  
Jannicke Baalsrud Hauge
Keyword(s):  
Industry 4.0 ◽  
Swot Analysis ◽  
Production Systems ◽  
Traditional Approach ◽  
Data Gathering ◽  
Decision Support Tool ◽  
Future Application ◽  
Support Tool ◽  
Manufacturing Simulation ◽  
Monitoring And Forecasting

Manufacturing simulation has been used as a decision support tool to solve various problems in production systems. However, with the advent of Industry 4.0 and CPS, manufacturing simulation becomes not only a tool for supporting decision-making but also essential for operation, monitoring, and forecasting the production system. In this paper, a traditional approach and a CPS-based approach in manufacturing simulation are compared. In the CPS-based approach, the key processes are divided into 1) data gathering, 2) modeling and simulation, and 3) simulation results analytics and feedback. In addition, a SWOT analysis is conducted to discuss the future application of the manufacturing simulation.

scholarly journals Development of a transboundary model of livestock disease in Europe

2021 ◽  
Author(s):  
Richard Bradhurst ◽  
Graeme Garner ◽  
Márk Hóvári ◽  
Maria de la Puente ◽  
Koen Mintiens ◽  
...  
Keyword(s):  
Production Systems ◽  
National Level ◽  
Decision Support Tool ◽  
Animal Disease ◽  
Control Policies ◽  
Support Tool ◽  
Outbreak Management ◽  
Continental Scale ◽  
Livestock Disease ◽  
Modelling Framework

SummaryEpidemiological models of notifiable livestock disease are typically framed at a national level and targeted for specific diseases. There are inherent difficulties in extending models beyond national borders as details of the livestock population, production systems and marketing systems of neighbouring countries are not always readily available. It can also be a challenge to capture heterogeneities in production systems, control policies, and response resourcing across multiple countries, in a single transboundary model.In this paper we describe EuFMDiS, a continental-scale modelling framework for transboundary animal disease, specifically designed to support emergency animal disease planning in Europe. EuFMDiS simulates the spread of livestock disease within and between countries and allows control policies to be enacted and resourced on per-country basis. It provides a sophisticated decision support tool that can be used to look at the risk of disease introduction, establishment and spread; control approaches in terms of effectiveness and costs; resource management; and post-outbreak management issues.

Using Spreadsheets as a Decision Support Tool

2003 ◽  
pp. 57-71 ◽  
Author(s):  
Stephen Burgess ◽  
Don Schauder
Keyword(s):  
Decision Making ◽  
Small Businesses ◽  
Web Site ◽  
Swot Analysis ◽  
Decision Support Tool ◽  
Support Tool ◽  
Decision Making Processes ◽  
Set Up ◽  
Support Decision Making ◽  
The Web

This chapter discusses a model that has been set up to assist small businesses in the decision-making processes associated with setting up a Web site by which they can interact with their customers. Specifically, the chapter addresses the use of a spreadsheet to support decision-making processes in relation to the level of capital needed to devote to the Web site and who should be used to develop it. The chapter describes the process followed, from the initial SWOT analysis used to collect information about the business to the decision-making process modelled in the spreadsheet.

scholarly journals Multilayer Network-Based Production Flow Analysis

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Tamás Ruppert ◽  
Gergely Honti ◽  
János Abonyi
Keyword(s):  
Production Systems ◽  
Flow Analysis ◽  
Decision Support Tool ◽  
Exploratory Analysis ◽  
Benchmark Problem ◽  
Production Flow ◽  
Multilayer Network ◽  
Support Tool ◽  
Production Technologies ◽  
The Relationship

A multilayer network model for the exploratory analysis of production technologies is proposed. To represent the relationship between products, parts, machines, resources, operators, and skills, standardized production and product-relevant data are transformed into a set of bi- and multipartite networks. This representation is beneficial in production flow analysis (PFA) that is used to identify improvement opportunities by grouping similar groups of products, components, and machines. It is demonstrated that the goal-oriented mapping and modularity-based clustering of multilayer networks can serve as a readily applicable and interpretable decision support tool for PFA, and the analysis of the degrees and correlations of a node can identify critically important skills and resources. The applicability of the proposed methodology is demonstrated by a well-documented benchmark problem of a wire-harness production process. The results confirm that the proposed multilayer network can support the standardized integration of production-relevant data and exploratory analysis of strongly interconnected production systems.

An approach and decision support tool for forming Industry 4.0 supply chain collaborations

2021 ◽  
Vol 125 ◽  
pp. 103391
Author(s):  
Sonia Cisneros-Cabrera ◽  
Grigory Pishchulov ◽  
Pedro Sampaio ◽  
Nikolay Mehandjiev ◽  
Zixu Liu ◽  
...  
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Industry 4.0 ◽  
Decision Support Tool ◽  
Support Tool

scholarly journals Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7135
Author(s):  
Latifah Abdul Ghani ◽  
Nora’aini Ali ◽  
Ilyanni Syazira Nazaran ◽  
Marlia M. Hanafiah ◽  
Norhafiza Ilyana Yatim
Keyword(s):  
Carbon Footprint ◽  
Environmental Sustainability ◽  
Production Systems ◽  
Processing System ◽  
Decision Support Tool ◽  
Future Research ◽  
Model Framework ◽  
Support Tool ◽  
Desalination Plant ◽  
Carbon Footprint Assessment

The Life Cycle Assessment (LCA) system, which can be used as a decision support tool for managing environmental sustainability, includes carbon footprint assessment as one of the available methodologies. In this study, a carbon footprint assessment was used to investigate seawater production systems of a desalination plant in Senok, Kelantan, Malaysia. Three stages of the desalination plant processing system were investigated and the inventory database was developed using the relevant model framework. Subsequently, measurements and interpretations were performed on several key indicators such as greenhouse gases, energy efficiency, acidic gases, smog, and toxic gases. Overall, the results of the study indicate that the Reverse Osmosis (RO) technology that is used in the desalination plant in the study area is one of the best options to meet the demands of the environmental sustainability agenda (SDGs). This is due to the lower carbon dioxide (CO2) emission, of about 3.5 × 10−2 kg of CO2 eq per m3/year, that was recorded for the entire operation of the system. However, several factors that influence important errors in carbon footprint decisions, such as the lack of EIA reporting data and the literature on carbon footprint in the Malaysian scenario, in addition to direct and indirect carbon input calculations, need to be identified in more detail in future research.

A Decision Support Tool for Classification of Turkish SMEs’ Industry 4.0 Score Levels

2020 ◽  
pp. 264-276
Author(s):  
Uğurcan Dündar ◽  
Fadime Üney-Yüksektepe ◽  
Zeynep Gergin ◽  
Oğuz Emir ◽  
Güneş M. Gençyılmaz ◽  
...  
Keyword(s):  
Decision Support ◽  
Industry 4.0 ◽  
Decision Support Tool ◽  
Support Tool

scholarly journals A general planner to explore drenching strategies in natural and organic lamb production systems

2006 ◽  
pp. 143-147
Author(s):  
V.O. Snow ◽  
M.D. Rollo ◽  
S.J. Lovatt ◽  
R.A. Dynes
Keyword(s):  
Production Systems ◽  
Significant Proportion ◽  
Decision Support Tool ◽  
Nematode Infection ◽  
Ecosystem Models ◽  
Support Tool ◽  
The Individual ◽  
Organic Meat ◽  
Conventional Farm ◽  
Computer Decision Support

The need for anthelmintic drenching varies from animal to animal. To avoid unnecessary use of drenches it is therefore desirable to formulate drenching rules that apply to the individual, rather than the mob. We used a computer decision support tool called the general planner for agro-ecosystem models (GPAM) to investigate drenching rules for lamb production on a dual organic-conventional farm. The GPAM was combined with a dynamic model of nematode infection in lambs to help understand how varying premiums for organically produced lamb affected optimal drenching decisions. Simulations showed that there was no incentive to produce lambs organically if the premium for organic meat was less than 20%. Even when the premium was increased to 80%, half the lambs slaughtered had conventional status. As the premium increased, more lambs were produced organically and there was greater variation in liveweight between animals, whether drenched or undrenched. This modelling exercise demonstrated that there is potential to devise individualised drenching strategies that return the greatest carcass value for the entire mob. However, it is also clear that without alternative non-anthelmintic strategies to control infection, a significant proportion of the flock will have to be finished using drenches even with high premiums for organic lamb. Keywords: organic lamb production, nematode infection, decision making, artificial intelligence

scholarly journals Industry 4.0: smart test bench for shipbuilding industry

2020 ◽  
Vol 14 (4) ◽  
pp. 1525-1533
Author(s):  
Antonio Giallanza ◽  
Giuseppe Aiello ◽  
Giuseppe Marannano ◽  
Vincenzo Nigrelli
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
High Speed ◽  
Test Bench ◽  
Production Systems ◽  
Interactive Approach ◽  
Propulsion Systems ◽  
Shipbuilding Industry ◽  
Support Tool

AbstractIndustry 4.0 promises to increase the efficiency of production plants and the quality of the final product. Consequently, companies that implement advanced solutions in production systems will have a competitive advantage in the future. The principles of Industry 4.0 can also be applied to shipyards to transform them into “smart shipyards” (Shipyard 4.0). The aim of this research is to implement an interactive approach by Internet of Things on a closed power-loop test bench equipped with sophisticated sensors that is specifically designed to test high-power thrusters before they are installed on high-speed crafts, which are used in passenger transport. The preliminary results of the proposed Internet of Things-platform demonstrates the efficacy of the decision-making support tool in improving the design of propulsion systems and increasing their efficiency compared to traditional systems.

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