Toward the Ideal of Automating Production Optimization

2013 ◽  
Author(s):  
J. Michaloski ◽  
F. Proctor ◽  
J. Arinez ◽  
J. Berglund
Keyword(s):  
Data Acquisition ◽  
Production Systems ◽  
Cost Effective ◽  
Integrated Approach ◽  
Production Optimization ◽  
Efficient Manner ◽  
Casting Operation ◽  
Automated Generation ◽  
Manufacturing Optimization ◽  
Production Models

The advent of improved factory data collection offers a prime opportunity to continuously study and optimize factory operations. Although manufacturing optimization tools can be considered mainstream technology, most U.S. manufacturers do not take full advantage of such technology because of the time-intensive procedures required to manually develop models, deal with factory data acquisition problems, and resolve the incompatibility of factory and optimization data representations. Therefore, automated data acquisition, automated generation of production models, and the automated integration of data into the production models are required for any optimization analysis to be timely and cost effective. In this paper, we develop a system methodology and software framework for the optimization of production systems in a more efficient manner towards the goal of fully automated optimization. The case study of an automotive casting operation shows that a highly integrated approach enables the modeling and simulation of the complex casting operation in a responsive, cost-effective and exacting nature. Technology gaps and interim strategies will be discussed.

scholarly journals Life Cycle Assessment to Highlight the Environmental Burdens of Early Potato Production

Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 879
Author(s):  
Giuseppe Timpanaro ◽  
Ferdinando Branca ◽  
Mariarita Cammarata ◽  
Giacomo Falcone ◽  
Alessandro Scuderi
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Organic Farming ◽  
Ecological Model ◽  
Production Systems ◽  
Cost Effective ◽  
Potato Production ◽  
Conventional Agriculture ◽  
Production Models ◽  
Real Performance

Climate change, food security, and the protection of the planet’s resources require the adoption of sustainable production models. Achieving sustainable development in the agri-food sector enables the creation of new opportunities for operators, guiding farmers towards more environmentally friendly practices and offering cost-effective results. Organic farming paradigms are promoted by the transformation of some harmful practices of conventional agriculture, such as the wide use of chemical products of synthesis, the deep workings that favor the erosive processes, the excessive use of nitrogenous fertilizers. There are still gaps in the knowledge of the real performance of some products that strongly support the local economic system of Sicily (Italy). The research aims to highlight the differences in environmental impact caused by the cultivation of organic early potatoes compared to the conventional regime and the same per kg of product obtained. To this end, the widely used methodology for comparing the environmental impacts of agricultural production systems is the Life Cycle Assessment, which allows us to highlight the phases in which environmental criticalities are most concentrated. An interesting agroecological picture of knowledge emerges, since organic farming is by definition an ecological model that supports the principles of the Green Deal, it often requires interventions to improve the yields obtained in order to achieve a positive result both in terms of cultivated surface and kg of product obtained.

From Subsurface to Riser: An Integrated Approach to Subsea Surveillance

2010 ◽  
Author(s):  
Jon Machin
Keyword(s):  
Surveillance System ◽  
Production Control ◽  
High Reliability ◽  
Cost Effective ◽  
Integrated Approach ◽  
Production Optimization ◽  
Surveillance Systems ◽  
Physical Layers ◽  
Key Enabling Technologies ◽  
Reliability Performance

The high reliability performance of a subsea surveillance system, from subsurface to riser, is of the utmost importance for maximizing production availability. In designing such a surveillance system, there are a multitude of considerations that need to be addressed. These have traditionally focused on safe and cost effective production control system availability. However, they are now being extended to also address enablers for secondary recovery, production optimization, and increased recovery activities. This paper addresses the idea that latest-generation surveillance systems must operate seamlessly from the subsurface to the seabed and in turn from seabed to riser. In doing so they must integrate a number of key enabling technologies over different physical layers and predefined technical interfaces. They must also serve to integrate these technologies over the project management interfaces which arise from the selection of the different proprietary technologies, and the commercial and contractual barriers which can result.

scholarly journals Improvement of Factory Planning by Automated Generation of a Digital Twin

2020 ◽  
Author(s):  
Markus Sommer ◽  
Josip Stjepandić ◽  
Sebastian Stobrawa ◽  
Moritz von Soden
Keyword(s):  
Object Recognition ◽  
Production Systems ◽  
Cost Savings ◽  
Cost Effective ◽  
Shop Floor ◽  
Simulation Methods ◽  
Manufacturing Companies ◽  
Factory Planning ◽  
Automated Generation ◽  
Digital Twin

The simulation of processes in production systems is a powerful tool for factory planning. The application of simulation methods within the Digital Factory is becoming increasingly relevant as developments in the field of digitalization lead to more comprehensive, efficient, embedded and cost-effective simulation methods. Especially the integration within a Digital Twin, allows these advantages to be achieved for simulations. Here, the Digital Twin can be utilized for prospective planning, analysis of existing systems or process-oriented monitoring. In all cases, the Digital Twin offers manufacturing companies room for improvement in production and logistics processes leading to cost savings. However, many companies do not apply the technology, because the generation of a Digital Twin is cost-, time- and resource-intensive and IT expertise is required. This paper presents an approach for generating a Digital Twin in the built environment automatically and for utilization in factory planning. The obstacles will be overcome by using a scan of the shop floor, subsequent object recognition, and predefined frameworks for factory planning within the Digital Twin. Here, the effort for scanning the production hall is additional, while the subsequent object recognition, the generation of the CAD model and the simulation model, as well as the factory planning can be to a great extent automated and therefore carried out with a minimum of effort. Therefore, considerable cost savings can be expected here, which more than offset the additional effort for scanning.

scholarly journals A Cloud-Based Digital Farm Management System for Vegetable Production Process Management and Quality Traceability

2018 ◽  
Vol 10 (11) ◽  
pp. 4007 ◽  
Author(s):  
Feng Yang ◽  
Kaiyi Wang ◽  
Yanyun Han ◽  
Zhong Qiao
Keyword(s):  
Data Acquisition ◽  
Radio Frequency Identification ◽  
Management System ◽  
Large Scale ◽  
Process Management ◽  
Integrated Approach ◽  
Farm Management ◽  
Vegetable Production ◽  
Efficient Manner ◽  
Vegetable Farm

Farm Management Information Systems (FMISs) are being expanded to improve operation efficiency, reduce inputs, and ensure compliance with standards and regulations. However, this goal is difficult to attain in the vegetable sector, where data acquisition is time-consuming and data at different stages is fragmented by the potential diversity of crops and multiple batches cultivated at any given farm. This applies, in particular, to farms in China, which have small areas and low degrees of mechanization. This study presents an integrated approach to track and trace production efficiently through our Digital Farm Management System (DFMS), which adopts the cloud framework and utilizes Quick Response (QR) codes and Radio Frequency Identification (RFID) technology. Specifically, a data acquisition system is proposed that runs on a smartphone for the efficient gathering of planting information in the field. Moreover, DFMS generates statistics and analyses of planting areas, costs, and yields. DFMS meets the FMIS requirements and provides the accurate tracking and tracing of the production for each batch in an efficient manner. The system has been applied in a large-scale vegetable production enterprise, consisting of 12 farms distributed throughout China. This application shows that DFMS is a highly efficient solution for precise vegetable farm management.

The Mae on Project: Using Acupuncture for Symptom Relief and Improved Quality of Life for People Living with Hiv and Aids in Rural Thailand

2010 ◽  
Vol 28 (1) ◽  
pp. 37-41 ◽  
Author(s):  
Laura Louie ◽  
Nopporn Pathanapornpandh ◽  
Unchalee Pultajuk ◽  
Robert Kaplan ◽  
Ian Hodgson ◽  
...  
Keyword(s):  
Symptom Relief ◽  
Cost Effective ◽  
Integrated Approach ◽  
Hiv And Aids ◽  
People Living With Hiv ◽  
Preliminary Evaluation ◽  
Related Symptom ◽  
History Of ◽  
Living With Hiv

Acupuncture in combination with antiretroviral therapies is a potentially useful treatment for HIV-related symptom relief in resource-poor settings. Traditional Chinese medicine has a long history of being used to enhance immune function. In the setting of HIV, Chinese traditional medicine allows for symptom treatment without adding extra medications to a complex drug regime. This paper provides details of a project at Mae On Hospital in rural northern Thailand where allopathic/conventional treatments are used in tandem with acupuncture. A preliminary evaluation of the project suggests that an integrated approach to symptom relief is viewed positively by respondents receiving acupuncture, though further studies are required to confirm the association between acupuncture and symptom relief. The project also demonstrates the feasibility of developing a cost-effective acupuncture programme using local healthcare staff.

An integrated approach to identifying and characterising resilient urban food systems to promote population health in a changing climate

2015 ◽  
Vol 18 (13) ◽  
pp. 2498-2508 ◽  
Author(s):  
Sarah W James ◽  
Sharon Friel
Keyword(s):  
Population Health ◽  
Environmental Sustainability ◽  
Mixed Methods Research ◽  
Food Systems ◽  
Food System ◽  
Production Systems ◽  
Integrated Approach ◽  
Integrated Analysis ◽  
Climate Resilience ◽  
Urban Food Systems

AbstractObjectiveTo determine key points of intervention in urban food systems to improve the climate resilience, equity and healthfulness of the whole system.DesignThe paper brings together evidence from a 3-year, Australia-based mixed-methods research project focused on climate change adaptation, cities, food systems and health. In an integrated analysis of the three research domains – encompassing the production, distribution and consumption sectors of the food chain – the paper examines the efficacy of various food subsystems (industrial, alternative commercial and civic) in achieving climate resilience and good nutrition.SettingGreater Western Sydney, Australia.SubjectsPrimary producers, retailers and consumers in Western Sydney.ResultsThis overarching analysis of the tripartite study found that: (i) industrial food production systems can be more environmentally sustainable than alternative systems, indicating the importance of multiple food subsystems for food security; (ii) a variety of food distributors stocking healthy and sustainable items is required to ensure that these items are accessible, affordable and available to all; and (iii) it is not enough that healthy and sustainable foods are produced or sold, consumers must also want to consume them. In summary, a resilient urban food system requires that healthy and sustainable food items are produced, that consumers can attain them and that they actually wish to purchase them.ConclusionsThis capstone paper found that the interconnected nature of the different sectors in the food system means that to improve environmental sustainability, equity and population health outcomes, action should focus on the system as a whole and not just on any one sector.

Kollaborative Fabrikplanung/Collaborative factory planning

2021 ◽  
Vol 111 (03) ◽  
pp. 136-141
Author(s):  
Thomas Neuhäuser ◽  
Reinhard Zeiser ◽  
Aljoscha Hieronymus ◽  
Andrea Hohmann ◽  
Johannes Schilp
Keyword(s):  
Data Acquisition ◽  
Building Information Modeling ◽  
Production Systems ◽  
Information Modeling ◽  
Market Conditions ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Factory Planning ◽  
Building Information ◽  
Production Industry

Unternehmen des produzierenden Gewerbes sind mit einem zunehmend dynamischen Marktumfeld konfrontiert, weshalb fabrikplanerische Anpassungen immer schneller erfolgen müssen. Der größte Zeitanteil in Fabrikplanungsprojekten wird jedoch für die Datensuche, -aufbereitung und den anschließenden Informationsaustausch zwischen den unterschiedlichen Beteiligten aufgewendet. Um diesen Aufwand zu reduzieren, wird ein Konzept zur kollaborativen Fabrikplanung mit Building Information Modeling vorgestellt.   The production industry is facing increasingly dynamic market conditions. Therefore, the adaption of production systems must happen ever more quickly. However, data acquisition, processing and the subsequent exchange of information takes up a lot of time in factory planning projects. To reduce this effort, the paper introduces a method for collaborative factory planning based on building information modelling.

One-of-a-kind Production in Cyber-Physical Production Systems Considering Machine Failures

2021 ◽  
pp. 1-20
Author(s):  
Guido Vinci Carlavan ◽  
Daniel Alejandro Rossit
Keyword(s):  
Industry 4.0 ◽  
Information Technologies ◽  
Job Shop ◽  
Production Systems ◽  
Dispatching Rules ◽  
Shop Floor ◽  
Due Dates ◽  
Efficient Manner ◽  
Large Variability ◽  
Cyber Physical Production Systems

Industry 4.0 proposes the incorporation of information technologies at all levels of the production process. By incorporating these technologies, Industry 4.0 provides new tools for production planning processes, allowing to address problems in an innovative and efficient manner. From these technologies and tools, it is that in this work a One-of-a-Kind Production (OKP) process is approached, where the products tend to be highly customized. OKP implies working with a very large variability within production, demanding very efficient planning systems. For this, a planning model based on CONWIP-type strategies was proposed, which seeks to level the production of a shop floor configured in the form of a job shop. Even more, for having a more realistic shop-floor representation, machine failures have been included in the model. In turn, different dispatching rules were proposed to study the performance and analyze the behaviour of the system. From the results obtained, it is observed that, when the production demand is very exigent in relation with the capacity of the system, the dispatching rules that analyze the workload generated by each job tend to perform better. However, when the demand on the capacity of the production system is less intense, the rules associated with due dates are the ones that obtain the best results.

The Systems/Integrated Approach to Quality and Cost-Effective Care

1990 ◽  
Vol 6 (1) ◽  
pp. 25-44 ◽  
Author(s):  
Deborah A. Finkelstein ◽  
Susan Frissell
Keyword(s):  
Cost Effective ◽  
Integrated Approach ◽  
Effective Care

scholarly journals A flexible user-interface for audiovisual presentation and interactive control in neurobehavioral experiments

F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 20
Author(s):  
Christopher T Noto ◽  
Suleman Mazhar ◽  
James Gnadt ◽  
Jagmeet S Kanwal
Keyword(s):  
User Interface ◽  
Data Acquisition ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Stimulus Presentation ◽  
Cost Effective ◽  
Level Control ◽  
Interactive Control ◽  
High Level ◽  
Behavioral Monitoring

A major problem facing behavioral neuroscientists is a lack of unified, vendor-distributed data acquisition systems that allow stimulus presentation and behavioral monitoring while recording neural activity. Numerous systems perform one of these tasks well independently, but to our knowledge, a useful package with a straightforward user interface does not exist. Here we describe the development of a flexible, script-based user interface that enables customization for real-time stimulus presentation, behavioral monitoring and data acquisition. The experimental design can also incorporate neural microstimulation paradigms. We used this interface to deliver multimodal, auditory and visual (images or video) stimuli to a nonhuman primate and acquire single-unit data. Our design is cost-effective and works well with commercially available hardware and software. Our design incorporates a script, providing high-level control of data acquisition via a sequencer running on a digital signal processor to enable behaviorally triggered control of the presentation of visual and auditory stimuli. Our experiments were conducted in combination with eye-tracking hardware. The script, however, is designed to be broadly useful to neuroscientists who may want to deliver stimuli of different modalities using any animal model.

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