Relevant bibliographies by topics / Automatic batch production systems

Academic literature on the topic 'Automatic batch production systems'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Automatic batch production systems"

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Kamel, Khaled, and Eman Kamel. "PLC Batch Process Control Design and Implementation Fundamentals." September 2020 2, no. 3 (June 9, 2020): 155–61. http://dx.doi.org/10.36548/jei.2020.3.001.

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Batch process control is typically used for repeated chemical reaction tasks. It starts with a measured liquid material filling operations followed by a controlled reaction leading to the discharge or transport of processed quantities of material. The input materials is contained in vessel reactor and subjected to a sequence of processing activities over a recipe predefined duration of time. Batch systems are designed to measure, process, and discharge a varying volume of liquid from drums, tanks, reactors, or other large storage vessel using a programmable logic controller (PLC). These systems are common in pharmaceutical, chemical packaging, Beverage processing, personal care product, biotech manufacturing, dairy processing, soap manufacturing, and food processing industries. This paper briefly discusses the fundamental techniques used in specifying, designing, and implementing a PLC batch process control [1, 2]. A simplified batch process is used to illustrate key issues in designing and implementing such systems. In addition to the structured PLC ladder design; more focus is given to safety requirements, redundancy, interlocking, input data validation, and safe operation. The Allen Bradley (AB) SLC 500 PLC along with the LogixPro simulator are used to illustrate the concepts discussed in this paper. Two pumps are used to bring in material during the tank filling and a third pump is used to drain processed product. The three pumps are equipped with flow meters providing pulses proportional to the actual flow rate through the individual pipes. The tank material is heated to a predefined temperature duration followed by mixing for a set time before discharge. Batch control systems provides automated process controls, typically and universally using PLC’s networked to HMI’s and other data storage, analysis, and assessment computers. The overall system perform several tasks including recipe development and download, production scheduling, batch management and execution, equipment performance monitoring, inventory, production history and tracking functionalities. Flexible batch control systems are designed to accommodate smaller batches of products with greater requirements / recipes variation, efficiently and quickly. In addition to providing process consistency, continuous batch process control quality improvements are attained through the automatic collection and analysis of real-time reliable and accurate event performance data [3, 4].
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Tomson, K., T. Paalme, P. S. Laakso, and R. Vilu. "Automatic laboratory-scale fed-batch procedure for production of recombinant proteins using inducible expression systems of Escherichia coli." Biotechnology Techniques 9, no. 11 (November 1995): 793–98. http://dx.doi.org/10.1007/bf00159403.

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Heloury, Jeanne, Guillaume Bouguéon, Thomas Deljehier, Audrey Jourand, Aude Berroneau, and Sylvie Crauste-Manciet. "Automation of Aseptic Sterile Preparation: Risk Analysis and Productivity Comparison with Manual Process." Pharmaceutical Technology in Hospital Pharmacy 4, no. 1 (May 2, 2019): 15–28. http://dx.doi.org/10.1515/pthp-2019-0001.

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Abstract Two automation methods for aseptic preparation in hospital pharmacy, robot and peristaltic pump, were compared to manual process both for risk analysis using Failure Modes Effects and Criticality Analysis (FMECA) method and for productivity using time analysis grids built for each process. The results obtained with the different workflow organizations showed that the worst-case conditions for productivity was production “on demand” of tailor-made preparations. in that case, the manual process was not significantly different from the robotic process (p-value=0.72). For the standardized preparations, the semi-automatic process preparing a batch from bulk solution from “to be reconstituted” drugs was significantly superior to the robotic process preparing repetitive series of doses (p-value<0.01). Productivity of the robot was dramatically increased when the robot performed standardized preparations either from ready to use solutions or mixed cycles due to the robot design. When different processes were FMECA analyzed for risk analysis the robotic process was found as the safer process in comparison to others with a total of Criticality Indexes of 1060, 719, 656 for manual, semi-automatic and robot, respectively. Except for the robotic, semi-automatic and manual processes needed additional IT control systems to limit the risk of failures.
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Nájera, S., M. Gil-Martínez, and J. A. Zambrano. "ATAD control goals through the analysis of process variables and evaluation of quality, production and cost." Water Science and Technology 71, no. 5 (January 14, 2015): 717–24. http://dx.doi.org/10.2166/wst.2015.006.

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The aim of this paper is to establish and quantify different operational goals and control strategies in autothermal thermophilic aerobic digestion (ATAD). This technology appears as an alternative to conventional sludge digestion systems. During the batch-mode reaction, high temperatures promote sludge stabilization and pasteurization. The digester temperature is usually the only online, robust, measurable variable. The average temperature can be regulated by manipulating both the air injection and the sludge retention time. An improved performance of diverse biochemical variables can be achieved through proper manipulation of these inputs. However, a better quality of treated sludge usually implies major operating costs or a lower production rate. Thus, quality, production and cost indices are defined to quantify the outcomes of the treatment. Based on these, tradeoff control strategies are proposed and illustrated through some examples. This paper's results are relevant to guide plant operators, to design automatic control systems and to compare or evaluate the control performance on ATAD systems.
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Keim, Juan Pablo, Robert Berthiaume, David Pacheco, and Stefan Muetzel. "Comparison of rumen in vitro fermentation of temperate pastures using different batch culture systems." Animal Production Science 57, no. 4 (2017): 690. http://dx.doi.org/10.1071/an15190.

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In vitro batch culture systems are popular because they are relatively inexpensive and allow the screening and testing of large amounts of samples in a short time. Most of the batch culture systems have been designed for the evaluation of gas produced during fermentation of substrates and different designs have been compared between laboratories, but very little work is published where methane production or volatile fatty acid production is compared. The aim of this study was to determine the degree of agreement between two different in vitro batch culture systems, from different laboratories when measuring in vitro fermentation kinetics and end products using pasture samples as substrates. The two systems were a manual and a fully automated pressure-based system. Duplicates of pasture samples were incubated in three consecutive runs. Concordance correlation coefficients between systems and estimates of variance components (pasture, incubation run and random error) for each system were determined for all measured variables. There were poor correlations between systems for most of the variables except for time to produce half of the asymptotic gas production and acetate molar proportion of volatile fatty acids. However, for both systems most of variance was due to pasture sample and then incubation run. The poor agreement between systems might be explained by the different laboratory protocols. Therefore, comparisons of absolute values from different batch culture systems or experiments must be done carefully. Alternatively, more standardisation in terms of sample preparation and incubation procedure may be needed to compare in vitro fermentation products among systems.
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Denkena, Berend, Marcel Wichmann, Klaas Maximilian Heide, and René Räker. "Laser Scanning Based Object Detection to Realize Digital Blank Shadows for Autonomous Process Planning in Machining." Journal of Manufacturing and Materials Processing 6, no. 1 (December 22, 2021): 1. http://dx.doi.org/10.3390/jmmp6010001.

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The automated process chain of an unmanned production system is a distinct challenge in the technical state of the art. In particular, accurate and fast raw-part recognition is a current problem in small-batch production. This publication proposes a method for automatic optical raw-part detection to generate a digital blank shadow, which is applied for adapted CAD/CAM (computer-aided design/computer-aided manufacturing) planning. Thereby, a laser-triangulation sensor is integrated into the machine tool. For an automatic raw-part detection and a workpiece origin definition, a dedicated algorithm for creating a digital blank shadow is introduced. The algorithm generates adaptive scan paths, merges laser lines and machine axis data, filters interference signals, and identifies part edges and surfaces according to a point cloud. Furthermore, a dedicated software system is introduced to investigate the created approach. This method is integrated into a CAD/CAM system, with customized software libraries for communication with the CNC (computer numerical control) machine. The results of this study show that the applied method can identify the positions, dimensions, and shapes of different raw parts autonomously, with deviations less than 1 mm, in 2.5 min. Moreover, the measurement and process data can be transferred without errors to different hardware and software systems. It was found that the proposed approach can be applied for rough raw-part detection, and in combination with a touch probe for accurate detection.
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Ćwikła, Grzegorz. "The Methodology of Development of the Manufacturing Information Acquisition System (MIAS) for Production Management." Applied Mechanics and Materials 474 (January 2014): 27–32. http://dx.doi.org/10.4028/www.scientific.net/amm.474.27.

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The acquisition of data on the state of the production process is essential in the management of a company. The ERP system, as well as company management, should be continuously supplied with up-to-date information about the state of the production system, but in many cases there is a gap between the business and manufacturing layers of a company. Data on the state of production orders, machines, materials and human resources have to be automatically acquired, transmitted, archived, pre-processed and converted to a form compatible with business layer systems. There is a need for the development of methodology, describing methods of data acquisition and pre-processing directly from the shop floor. The methodology should be universal, covering the needs of different types of technological processes (discrete, continuous, batch), branches of industry and levels of production automation, etc. This paper presents the methodology of the development of Manufacturing Information Acquisition System (MIAS) covering needs for automated data acquisition, archiving and pre-processing systems, able to provide on-line production processes information for various clients. MIAS can be used as a link between data sources, MES/ERP systems and company management. Furthermore, it can be used as a stand-alone management information tool.
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Liang, Steven Y., Rogelio L. Hecker, and Robert G. Landers. "Machining Process Monitoring and Control: The State-of-the-Art." Journal of Manufacturing Science and Engineering 126, no. 2 (May 1, 2004): 297–310. http://dx.doi.org/10.1115/1.1707035.

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Research in automating the process level of machining operations has been conducted, in both academia and industry, over the past few decades. This work is motivated by a strong belief that research in this area will provide increased productivity, improved part quality, reduced costs, and relaxed machine design constraints. The basis for this belief is two-fold. First, machining process automation can be applied to both large batch production environments and small batch jobs. Second, process automation can autonomously tune machine parameters (feed, speed, depth of cut, etc.) on-line and off-line to substantially increase the machine tool’s performance in terms of part tolerances and surface finish, operation cycle time, etc. Process automation holds the promise of bridging the gap between product design and process planning, while reaching beyond the capability of a human operator. The success of manufacturing process automation hinges primarily on the effectiveness of the process monitoring and control systems. This paper discusses the evolution of machining process monitoring and control technologies and conducts an in-depth review of the state-of-the-art of these technologies over the past decade. The research in each area is highlighted with experimental and simulation examples. Open architecture software platforms that provide the means to implement process monitoring and control systems are also reviewed. The impact, industrial realization, and future trends of machining process monitoring and control technologies are also discussed.
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Ding, Lin, Sajad Razavi Bazaz, Jesus Shrestha, Hoseyn A. Amiri, Sima Mas-hafi, Balarka Banerjee, Graham Vesey, Morteza Miansari, and Majid Ebrahimi Warkiani. "Rapid and Continuous Cryopreservation of Stem Cells with a 3D Micromixer." Micromachines 13, no. 9 (September 13, 2022): 1516. http://dx.doi.org/10.3390/mi13091516.

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Cryopreservation is the final step of stem cell production before the cryostorage of the product. Conventional methods of adding cryoprotecting agents (CPA) into the cells can be manual or automated with robotic arms. However, challenging issues with these methods at industrial-scale production are the insufficient mixing of cells and CPA, leading to damage of cells, discontinuous feeding, the batch-to-batch difference in products, and, occasionally, cross-contamination. Therefore, the current study proposes an alternative way to overcome the abovementioned challenges; a highly efficient micromixer for low-cost, continuous, labour-free, and automated mixing of stem cells with CPA solutions. Our results show that our micromixer provides a more homogenous mixing of cells and CPA compared to the manual mixing method, while the cell properties, including surface markers, differentiation potential, proliferation, morphology, and therapeutic potential, are well preserved.
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Бичков, С. А., О. Д. Донець, and В. Г. Читак. "ОСОБЛИВОСТІ СЕРІЙНОГО ВИРОБНИЦТВА РЕГІОНАЛЬНИХ ПАСАЖИРСЬКИХ ЛІТАКІВ АН-148 ТА АН-158." Open Information and Computer Integrated Technologies, no. 84 (July 2, 2019): 125–43. http://dx.doi.org/10.32620/oikit.2019.84.06.

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The main results and peculiarities of putting the family of regional passenger airplanes An-148/An-158 into the batch production are presented. Based on the results of audits of the Aviation Register of the Interstate Aviation Committee and the State Aviation Service of Ukraine the complex of works that had been performed allowed to obtain approval for putting of airplanes into the batch production. The production is carried out in accordance with the requirements of «Guidelines21.2Cfor the Certification and Supervision of Aircraft Production», «Guidelines 21.2D of Certification and Control Procedures over the Civil Aircraft Production», Standards ISO9001-2009 and EN9100 of «Quality Management Systems. Requirements». The functioning of the quality system is constantly monitored by internal inspections.To put the AN-148-100/158 airplanes into the batch production: technological preparation of production for about 65 000 parts, units and assemblies has been made; more than 19 300 items of special technological equipment and tools have been designed and manufactured; more than 75 000 sets of design documentation for the processes of manufacturing, assembling, controlling and testing parts, units, assemblies and systems of airplanes have been worked out; new technological processes in the forging and stamping, mechanical assembly production, aggregate and assembly manufacturing have been completed, improved and implemented; advanced metalworking tools have been tested and implemented in the production; works on restoration of efficiency and improvement of technological equipment have been performed; new technological processes of manufacturing parts and units on numerically controlled programmable machines have been completed and implemented; complex manufacturing and new production processes of manufacturing products from composite and nonmetallic materials, forging and stamping products, foundry and thermal production have been completed and implemented; new equipment and production processes of welding have been mastered and implemented; the information infrastructure of the company has been organized and is being developed; an integrated automated production management system (ASC) has been developed. It functions based on the main data scope computation on a central computer capable to connect users to view the data; automated workplaces based on personal computers have been organized; measures on recruitment and training of the personnel have been organized and carried out.
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Dissertations / Theses on the topic "Automatic batch production systems"

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Dwyer, Barry. "Automatic design of batch processing systems." Title page, abstract, table of contents and introduction only, 1999. http://web4.library.adelaide.edu.au/theses/09PH/09phd993.pdf.

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Doutriaux, Frederic. "Optimal sublot determination in multiple batch stage, two stage production systems." Thesis, Virginia Tech, 1995. http://hdl.handle.net/10919/41530.

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Bezuidenhoudt, Anya. "Design and implementation of a continuous PTFE depolymerisation system : moving from batch to semi-automated continuous TFE production." Diss., University of Pretoria, 2016. http://hdl.handle.net/2263/61347.

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At the University of Pretoria's Fluoropolymer Laboratory, an important long-term project is the development of a waste polytetrafluoroethylene (PTFE) depolymerisation process where TFE can be produced, purified and polymerised to reproduce pure PTFE. At the start of this project, the process consisted of a batch depolymerisation system, a sub-zero distillation column, and a polymerisation reactor system. The batch depolymerisation system could not produce enough gas per session to operate the downstream processes efficiently. The main aim of this investigation was to adapt the batch depolymerisation system to enable continuous depolymerisation by designing, implementing and testing a continuous PTFE screw feeder. With the screw feeder in place, the operating limits, with regard to temperature, pressure, and Teflon® PTFE 807N feed rate, were determined. The effects of temperature and pressure on the tetrafluoroethylene (TFE), hexafluoropropylene (HFP) and octafluorocyclobutane (OFCB) fractional composition were examined and the optimum operating conditions to maximise these products were determined statistically. An investigative approach was used in designing the hopper system. The optimum hopper wall angle and Teflon® PTFE 807N feed mixture was determined experimentally by testing four hopper angles, pure Teflon® PTFE 807N, and two Teflon® PTFE 807N mixtures (Teflon® PTFE 807N mixed with larger, compressed Teflon® PTFE 807N, particles in a 70:30 wt % and 50:50 wt % ratio) and two motor speeds. At all of the hopper angles and Teflon mixture configurations, rat-hole formation prevented the feeder from producing a constant flow rate. A hopper wall angle of 20° (to the vertical) together with plain Teflon® PTFE 807N were selected, as these two variables together helped to delay the formation of rat-holes the most. A stirrer was inserted in the hopper to negate the rat-holing problem. The continuous feeder was successfully designed, manufactured, calibrated, and installed. The feeder consists of a wedge-shaped hopper with a constant pitch, a tapered shaft screw and is capable of providing a maximum Teflon® PTFE 807N flow rate of approximately 20 g·min-1 for up to 40 min. Experimental test runs of the continuous depolymerisation system indicated that the minimum operating reactor temperature was 650 °C due to heat transfer and or rate of reaction limitations. The maximum flow rate of Teflon® PTFE 807N was determined to be 11 g·min-1 for the current reactor system. The maximum operating temperature and pressure were limited to 750 °C and 40 kPa, respectively, to avoid operating conditions that could lead to the increased production of PFIB. A three-level full factorial experimental design was used to determine the temperature and pressure effects on the fractional distribution of TFE, HFP, and OFCB under steady operating conditions. For pressure control purposed no carrier gas was used. The PTFE flow rate and experimental run time were kept constant at 11 g·min-1 and 15 min, respectively. The pressure in the system was regulated manually by constricting the flow of product gas out of the system. A maximum TFE mole percentage of 97 % was achieved at operating conditions of 650 °C and 2 kPa. The maximum HFP mole percentage (31 %) was observed at operating conditions of 750 °C and 20 kPa. A maximum of 55 % was observed at 750 °C and 40 kPa for OFCB. Statistical analysis of the continuous depolymerisation results indicate that TFE formation is highly sensitive to changes in pressure, with higher TFE yield fractions achieved at low pressures. The production of OFCB is highly sensitive to pressure, whereas the formation of HFP is equally affected by pressure and temperature changes. However, changes in pressure have a larger effect on the HFP production than temperature when operating at pressures lower than approximately 20 kPa. At higher pressures the sensitivity has the inverse affect, with temperature having a larger effect. As opposed to TFE, an increase in temperature and pressure leads to an increase in the HFP and OFCB concentration. To achieve a TFE mole percentages of 95 % and higher, the operating temperature of the system has to be kept in the range of 650 °C 720 °C, together with a system pressure of 2 kPa or less. Within the operating range of 730 °C 750 °C and 35 kPa 40 kPa a mole percentage of 50 % and higher can be expected for OFCB. A mole percentage of 19 % and higher can be expected for HFP in the operating range of 744 °C 750 °C and 32 kPa 40 kPa. It was determined through a kinetic analysis of the system, that the residence time of the product gas in the reactor has a large effect on the production of HFP, with an increase in residence time leading to a sharp increase in the HFP concentration and a decrease in the OFCB and TFE concentrations. Analysis of the determined product specific kinetics indicate that the predominant HFP production pathway at low residence times (< 3 s) is via the reaction of TFE with difluorocarbenes. At higher residence times the dominant reaction pathway is the dissociation OFCB.
Dissertation (MEng)--University of Pretoria, 2016.
Chemical Engineering
MEng
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Wang, Junwen. "QUALITY ANALYSIS IN FLEXIBLE MANUFACTURING SYSTEMS WITH BATCH PRODUCTIONS." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_diss/51.

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To improve product quality and reduce cost, batch production is often implemented in many exible manufacturing systems. However, the current literature does not provide any method to analyze the quality performance in a flexible manufacturing system with batch production. In this research, we present an analytical method with closed-form formula to evaluate the quality performance in such systems. Based on the model, we discover and investigate monotonic and non-monotonic properties in quality to provide practical guidance for operation management. To improve product quality, we introduce the notions of quality improvability with respect to product sequencing. In addition, we develop the indicators for quality improvability based on the data available on the factory floor rather than complicated calculations. We define the bottleneck sequence and bottleneck transition as the ones that impede quality in the strongest manner, investigate the sensitivity of quality performance with respect to sequences and transitions, and propose quality bottleneck sequence and transition indicators based on the measured data. Finally, we provide a case study at an automotive paint shop to show how this method is applied to improve paint quality. Moreover, we explore a potential application to reduce energy consumption and atmospheric emissions at automotive paint shops. By selecting appropriate batch and sequence policies, the paint quality can be improved and repaints can be reduced so that less material and energy will be consumed, and less atmospheric emissions will be generated. It is shown that such scheduling and control method can lead to significant energy savings and emission reduction with no extra investment nor changes to existing painting processes. The successful development of such method would open up a new area in manufacturing systems research and contribute to establish a solid foundation for an integrated study on productivity, quality and exibility. In addition, it will provide production engineers and operation managers a quantitative tool for continuous improvement on product quality in flexible manufacturing environment
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Raghavendra, Archana. "(Semi) automatic wrapper generation for production systems by knowledge inference." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000345.

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Thesis (M.S.)--University of Florida, 2001.
Title from title page of source document. Document formatted into pages; contains viii, 73 p.; also contains graphics. Includes vita. Includes bibliographical references.
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Tang, Haibin. "Comparison of Synchronized Flow with Classical Flow in Multi-Stage Production Systems." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1258399377.

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Lee, Kaizhao. "Multiple-part-type systems in high volume manufacturing : Kanban System design for automatic production scheduling." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46151.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
Includes bibliographical references (leaf 71).
A Kanban Production System is designed to help a factory line meet fluctuating demands for multiple part types. Based on the parameter settings of the Control-Point Policy, the optimum Kanban levels are obtained. The simulation software Simul8 was used to model the factory line and the Kanban system. Using the optimum Kanban levels, the Kanban system will act as an automatic production scheduling system that will indicate clearly when and how much of each part-type should be produced. Use of this system will avoid unnecessary inventory and changeover cost incurred by the existing Kanban system used by the factory line. Key words: Kanban, Control-Point Policy, Optimization Disclaimer: The content of the thesis is modified to protect the real identity of the attachment company. Company name and confidential information are omitted.
by Kaizhao Lee.
M.Eng.
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Salazar, Hornig Eduardo Javier [Verfasser]. "Scheduling multi-stage batch production systems with continuity constraints : the steelmaking and continuous casting system / Eduardo Javier Salazar Hornig." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2013. http://d-nb.info/104697002X/34.

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Maffei, Antonio. "Characterisation of the Business Models for Innovative, Non-Mature Production Automation Technology." Doctoral thesis, KTH, Produktionssystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105111.

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Manufacturing companies are nowadays facing an unprecedented series of challenges to their survival: global competition and product mass-customization are the shaping forces of tomorrow’s business success. The consequent need for agile and sustainable production solutions is the utmost motivation behind the development of innovative approaches which often are not in line with the state of art. It is well documented that companies fail in recognizing how such disruptively innovative approaches can yield an interesting economic output. This, in turn, enhances the risk of leaving the aforementioned promising technologies conceptually and practically underdeveloped.  In the field of automatic production systems the Evolvable Production System paradigm proposes modular architectures with distributed, autonomous control rather than integral design and hierarchical, centralized control. EPS technology is thus disruptive: it refuses the present paradigm of Engineer to Order in industrial automation by proposing an advanced Configure to Order system development logic. This dissertation investigates the possibility of using the recent sophisticated developments of the concept of Business Model as a holistic analytical tool for the characterization and solution of the issue of bringing disruptive and non-fully mature innovation to proficient application in production environments. In order to purse this objective the main contributions in the relevant literature have been extracted and combined to an original definition of business model able to encompass the aspects deemed critical for the problem. Such a construct is composed of three elements: (1) Value Proposition that describe the features of a technology that generates value for a given customer, (2) the Value Configuration and the (3) Architecture of the Revenue which describe the mechanisms that allows to create and capture such value respectively.    The subsequent work has focused on the EPS paradigm as a specific case of the overall problem. The first step has been a full characterization of the related value proposition through an innovative approach based on a bottom-up decomposition in its elementary components, followed by their aggregation into meaningful value offerings: with reference to the EPS paradigm such an approach has disclosed an overall value proposition composed of six potentially independent value offerings. This collection of Value Offerings has then been used as a basis to generate the EPS business models. In particular for each single offering a possible set of necessary activities and resources has been devised and organized in a coherent value configuration. The resulting creation mechanisms have then been linked among each other following a logical supplier-customer scheme for capturing the value: this allowed establishing the architecture of revenue, last element of the overall production paradigm. Finally the results have been validated in a semi-industrial system developed for the (IDEAS, 2010-2013) project through the individuation of the areas of application of such business models.

QC 20121120


FP7-IDEAS- Instantly Deployable Evolvable Assembly System
FP6- EUPASS-Evolvable Ultra-Precision Assembly Systems
XPRES- Initiative for excellence in production research
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Oostra, Huibert H. "Technical and management tools in dairy production : improvements in automatic milking systems and detection of cows with deviating behaviour /." Alnarp : Dept. of Agricultural Biosystems and Technology, Swedish Univ. of Agricultural Sciences, 2005. http://epsilon.slu.se/200511.pdf.

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Books on the topic "Automatic batch production systems"

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Fisher, Thomas G. Batch control systems: Design, application, and implementation. Research Triangle Park, N.C: Instrument Society of America, 1990.

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Zhang, J.-H. Automatic tool set selection for batch production ofturnedcomponents. Manchester: UMIST, 1994.

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Period batch control. Oxford: Clarendon Press, 1996.

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Evaluating control systems reliability: Techniques and applications. Research Triangle Park, N.C: Instrument Society of America, 1992.

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Chaotic and stochastic behaviour in automatic production lines. Berlin: Springer-Verlag, 1994.

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Hongler, Max-Olivier. Chaotic and stochastic behavior in automatic production lines. Berlin: Springer-Verlag, 1994.

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Robust industrial control systems: Optimal design approach for polynomial systems. Hoboken, NJ: Wiley, 2006.

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Hong, Wang. Bounded dynamic stochastic systems: Modelling and control. London: Springer, 2000.

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Controlling automated manufacturing systems. London: K. Page, 1986.

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O'Grady, P. J. Controlling automated manufacturing systems. New York, NY: Chapman and Hall, 1986.

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Book chapters on the topic "Automatic batch production systems"

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Simeth, Alexej, Jessica Plaßmann, and Peter Plapper. "Detection of Fluid Level in Bores for Batch Size One Assembly Automation Using Convolutional Neural Network." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 86–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85906-0_10.

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Lauer, Sascha, Sebastian Rieck, Martin-Christoph Wanner, and Wilko Flügge. "Partial Automated Multi-Pass-Welding for Thick Sheet Metal Connections." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021, 399–410. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74032-0_33.

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AbstractThe production of tubular-node-connections, which are required for the construction of offshore wind energy plants or converter platforms, is subject to high manufacturing standards. The welding process is currently carried out manually and requires a great deal of experience on the part of the welder. In this process, one or more branch member pipes are welded to a base pipe, which vary in their diameters and alignment to each other. This results in a small batch size for which no standard automation solution can be considered. The approach of a pre-defined offline path-planning is not expedient, since the weld metal forms differently with the multiple curved geometries and the desired target result cannot be achieved with an integrated compensation. The approach for automation combines the experience of a skilled welder with the accuracy of an industrial-robot. For implementation, the robot system moves along the welding contour with a 2D-profile sensor. The joint profile is recorded at defined measurement points. Parallel to the seam cross-section, the current gradient of the geometry in relation to the horizontal plane is stored. After all the information has been generated, it is visualized for the operator in a graphical user interface. The operator can use his experience in the field of welding technology and can carry out the positioning of the weld seam in every single scan generated. The decisions on positioning are stored in the system and serve as a base for a future implementation of an automatic system for positioning welding beads on multi-curved contours.
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Lanz, Minna, Jyrki Latokartano, and Roel Pieters. "Digital Innovation Hubs for Enhancing the Technology Transfer and Digital Transformation of the European Manufacturing Industry." In IFIP Advances in Information and Communication Technology, 210–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_15.

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AbstractThe European manufacturers are dealing with shorter product life-cycles and smaller batch sizes. Especially, the high-value products tend to be fully personalised, which makes the automatisation of the production difficult. However, the trend is that the production needs to be predictable and fully traceable to the process and even to the tool level. This adds pressure to have better data collection methods and also to increase of automation in different levels of production. The emergence of new technologies in the field of robotics allows the utilisation of automation in flexible manner. Within all areas of robotics, the demand for collaborative systems is rising as well. The level of desired collaboration and increased flexibility will only be reached if the systems are developed as whole e.g. perception, reasoning and physical manipulation. However, at the same time there is concerns on how to attract capable personnel to the factories. In order to fully implement and utilise the new robotics technologies the industry needs capable resources. For answering these needs there has been several attempts to build different types of industrial ecosystems to facilitate better the technology and knowledge transfer, and share of expertise. The main aim of the paper is to review recent actions regarding the robotics projects forming industrial ecosystems in the Horizon 2020 framework programme, and then introduce the TRINITY Digital Innovation Hub (DIH) project approach to form an industrial ecosystem in the field of robotics.
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Yao, David D., and Shaohui Zheng. "Process Control in Batch Production." In Dynamic Control of Quality in Production-Inventory Systems, 37–63. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/0-387-22779-2_4.

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Kermani, Mohamed Hachem, and Zizette Boufaida. "A2PF: An Automatic Protein Production Framework." In Advances in Intelligent Systems and Computing, 80–91. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71187-0_8.

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Bailer, Werner, Marco Masetti, Goranka Zorić, Marcus Thaler, and Georg Thallinger. "Semi-Automatic Content Annotation." In Media Production, Delivery and Interaction for Platform Independent Systems, 166–208. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118706350.ch5.

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Araujo, Luciano Fonseca, and Abelardo Alves Queiroz. "A Conceptual Model for Production Leveling (Heijunka) Implementation in Batch Production Systems." In IFIP Advances in Information and Communication Technology, 81–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16358-6_11.

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Kellenbenz, R., and H. Hoffmann. "Production of small batch quantities employing flexible production systems in metal forming." In Advanced Technology of Plasticity 1987, 1195–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-662-11046-1_65.

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Reuter, Christina, Timo Nuyken, Stephan Schmitz, and Stefan Dany. "Iterative Improvement of Process Planning Within Individual and Small Batch Production." In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 283–90. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22756-6_35.

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Chang, Chun Guang, and Yu Zhang. "Optimization Model Under Grouping Batch for Prefabricated Components Production Cost." In Advances in Intelligent Systems and Computing, 57–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69096-4_8.

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Conference papers on the topic "Automatic batch production systems"

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Liu, Lingchen, and Chao-Bo Yan. "Analysis and Improvement of Batch-Batch Production Systems." In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, 2022. http://dx.doi.org/10.1109/case49997.2022.9926500.

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Wu, Kan. "Classifications for batch service queues in production systems." In 2014 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2014. http://dx.doi.org/10.1109/coase.2014.6899404.

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Zhaoxiang Zhang, Yayi Wang, Junjun Geng, and Wei Zhao. "N2O production during nitrogen removal in sequence batch reactor wastewater treatment systems." In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5536726.

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Harbert, Timothy R. "Automation Improvements in Batch Cutting Process: The Last Profit Center for Pipelines." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64392.

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Two major developments have recently emerged driving pipeline companies to re-evaluate transmix and regrade generation within their systems, along with the process which is the primary driver of transmix production — batch cutting. Dramatic increases in product cost and the advent of ultra low sulfur (ULS) regulation and ULS products have brought renewed focus on transmix generation and control. Given that pipeline tariffs are generally controlled by government agencies, and power cost can only marginally be controlled, transmix/regrade reduction and the corresponding savings is probably the last great revenue generator for pipelines and shippers. Batch cutting techniques and technology have remained largely unchanged for several decades. However, new technologies and greater automation have created renewed opportunities to significantly reduce transmix/regrade on a system-wide basis. Analysis has shown that projects related to transmix reduction are highly profitable and improve the overall precision and accuracy of batch cutting. This paper reviews the sources of variability in the manual batch cut process and how this variability can be eliminated through automation and new technologies.
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Liang, Steven Y., Rogelio L. Hecker, and Robert G. Landers. "Machining Process Monitoring and Control: The State–of–the–Art." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32640.

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Automation at the process level for machining operations and machine tools has been a focus of research attention in both academia and industry alike for several decades. Research in this area has carried strong expectations in the context of increased productivity, improved part quality, reduced costs, and relaxed part design constraints. The basis for these expectations is two-fold. First, machining process automation, if exercised strategically and advantageously, can perform consistently for large batch production or flexibly for small batch jobs. Secondly, process automation can be set up to autonomously tune the machine parameters (feed, speed, depth of cut, etc.) in pursuit of desirable performance (tolerance, finish, cycle time, etc.), thereby bridging the gap between product design and process planning while reaching beyond the human operators’ capability. The success of manufacturing process automation hinges primarily on the effectiveness of process monitoring and control systems. This paper reviews the evolution and the state of the art of machining process monitoring and control technologies. Key issues to be presented include sensor techniques, control techniques, hardware availability, and implementation examples. Also to be reviewed are the benefits of the systems and the reasons for their delayed realization in many of today’s industrial application domains.
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Bai, Yong, and Yiming (Kevin) Rong. "Automated Generation of Fixture Configuration Design." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0089.

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Abstract Flexible fixturing is a necessary aspect of flexible manufacturing systems (FMS) and computer-integrated manufacturing systems (CIMS). Modular fixtures are most widely used in industry for job and small batch production. Computer-aided fixture design (CAFD) has become a research focus in implementing FMS and CIMS. Fixture configuration design is an important issue in CAFD. A review of the current research in CAFD indicates that one major problem impeding the automated generation of fixture configuration design is the negligence of study on fixture structures. This paper investigates fundamental structures of dowel-pin modular fixtures and fixturing characteristics of commonly-used modular fixture elements. A modular fixture element assembly relationship graph (MFEARG) is designed to represent combination relationships between fixture elements. Based on MFEARG, algorithms are developed to search all suitable fixturing unit candidates and mount them into appropriate positions on baseplate with an interference checking. A prototype system for automated design of dowel-pin modular fixture configurations is presented in this paper. Fixture design examples are given in the end of the paper.
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Wang, Junwen, Jingshan Li, Jorge Arinez, Stephan Biller, and Ningjian Huang. "Quality analysis in flexible manufacturing systems with batch productions." In 2008 IEEE International Conference on Automation Science and Engineering (CASE 2008). IEEE, 2008. http://dx.doi.org/10.1109/coase.2008.4626421.

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Chin, Chen Fai, Yee Mei Lim, and Wah Pheng Lee. "Designing Automated Batch-Processing Production Planning for Manufacturing based on Asset-Oriented Modelling." In International Conference on Digital Transformation and Applications (ICDXA 2020). Tunku Abdul Rahman University College, 2020. http://dx.doi.org/10.56453/icdxa.2020.1015.

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Value-based assets in manufacturing such as machines and production planning are critical to productivity and operational success. This paper proposes the implementation design of an intelligent system that produces flexible production planning based on asset-oriented modelling for batch-processing-oriented design. The research aims to reduce the machine changeover time and enables flexibility in production scheduling. The challenge of having such an automated production planning system is that it must be able to handle real-time customer orders, any ad hoc interruptions and unexpected downtime in any production lines. It is important to design an automated production planning system that can produce optimized scheduling that satisfies all hard-constraints in the system. Keywords: intelligent scheduling, manufacturing, production planning, manufacturing asset.
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Liu, Shanzhong, and Xiaona Song. "Fuzzy clustering analysis of batch production recipe." In 2015 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2015. http://dx.doi.org/10.1109/icamechs.2015.7287099.

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Adeola, Olatunji, Kolby Burmaster, Michael Phi, Shaun Arnold, Alexander Robinson, and Jackson Klein. "Drilling Execution and Completion Advancements Continue to Deliver for Guyana." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31230-ms.

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Abstract The ExxonMobil Wells organization, along with Hess Guyana Exploration Limited and CNOOC Petroleum Guyana Limited, executed a successful multi-rig campaign to achieve First Oil on the Liza Phase 1 project ahead of schedule, utilizing advanced deepwater completion technologies to deliver highly productive wells. Considering the sizable resource offshore Guyana, strategic partnerships have been established with drilling contractors and other service providers to build economies-of-scale. ExxonMobil's prior global experience is actively being leveraged in rig selection and well design. Standardization, both above and below the rotary, has allowed for increased flexibility on current and future well execution, maintaining optionality to rapidly adjust project pace. A deliberate contracting strategy with established rig providers has also opened access to top tier rigs with reduced procurement timelines, providing flexibility with total rig count and capability. With an integrated team approach focused on simulataneous operations (SIMOPS) mitigation, rig movements have been optimized within the field to prioritize the highest value work and streamline project delivery. Effective schedule integration with multiple drilling rigs and installation vessels has reduced SIMOPS downtime during Phase 1 project execution. Additionally, batch rig operations have allowed the team to capitalize on operational efficiencies. A combination of these factors led to on-time well delivery and helped the project achieve aggressive First Oil milestones. The team has implemented innovative technologies to maximize value and well reliability, including the following: integrated geosteering workflows, with Azimuthal Ultra-Deep Resistivity (AUDR), enabling maximum reservoir penetrations; a suite of low equivalent circulating density (ECD) drilling fluids that enable the drilling of narrow-margin, highly deviated wells; ExxonMobil's patented NAFPac™ openhole gravel pack technology and autonomous inflow control devices (AICDs) on stand-alone-screen completions to increase well life and reliability; and remotely operated vehicle (ROV) based tree intervention control systems and ROV actuated suspension valves allowing for offline installation of subsea trees. Additionally, the team implemented the first floating application of the NOVOS™ automated slip-to-slip drilling system. NOVOS™ has been coupled with an automated drilling advisory system (AutoDAS) and data analytics environments for continuous performance improvement. The production wells that were delivered for Liza Phase 1 have highly productive, low-skin completions averaging over 900 m in length and production rates in excess of 30 kbd/well. Advancements in completion technology and efficiency proven on Liza Phase 1 are being extended into Phase 2 development and beyond, providing additional reservoir management capability. Lastly, ExxonMobil's commitment to Guyana extends to its people. Guyanese personnel have benefitted from significant training provided by ExxonMobil and sub-contractors, and Guyanese Nationals represented approximately 40% of the workforce involved in Wells-related activities at the end of 2020.
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Reports on the topic "Automatic batch production systems"

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Asvapathanagul, Pitiporn, Leanne Deocampo, and Nicholas Banuelos. Biological Hydrogen Gas Production from Food Waste as a Sustainable Fuel for Future Transportation. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2021.2141.

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In the global search for the right alternative energy sources for a more sustainable future, hydrogen production has stood out as a strong contender. Hydrogen gas (H2) is well-known as one of the cleanest and most sustainable energy sources, one that mainly yields only water vapor as a byproduct. Additionally, H2 generates triple the amount of energy compared to hydrocarbon fuels. H2 can be synthesized from several technologies, but currently only 1% of H2 production is generated from biomass. Biological H2 production generated from anaerobic digestion is a fraction of the 1%. This study aims to enhance biological H2 production from anaerobic digesters by increasing H2 forming microbial abundance using batch experiments. Carbon substrate availability and conversion in the anaerobic processes were achieved by chemical oxygen demand and volatile fatty acids analysis. The capability of the matrix to neutralize acids in the reactors was assessed using alkalinity assay, and ammonium toxicity was monitored by ammonium measurements. H2 content was also investigated throughout the study. The study's results demonstrate two critical outcomes, (i) food waste as substrate yielded the highest H2 gas fraction in biogas compared to other substrates fed (primary sludge, waste activated sludge and mixed sludge with or without food waste), and (ii) under normal operating condition of anaerobic digesters, increasing hydrogen forming bacterial populations, including Clostridium spp., Lactococcus spp. and Lactobacillus spp. did not prolong biological H2 recovery due to H2 being taken up by other bacteria for methane (CH4) formation. Our experiment was operated under the most optimal condition for CH4 formation as suggested by wastewater operational manuals. Therefore, CH4-forming bacteria possessed more advantages than other microbial populations, including H2-forming groups, and rapidly utilized H2 prior to methane synthesis. This study demonstrates H2 energy renewed from food waste anaerobic digestion systems delivers opportunities to maximize California’s cap-and-trade program through zero carbon fuel production and utilization.
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Asvapathanagul, Pitiporn, Leanne Deocampo, and Nicholas Banuelos. Biological Hydrogen Gas Production from Food Waste as a Sustainable Fuel for Future Transportation. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2022.2141.

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In the global search for the right alternative energy sources for a more sustainable future, hydrogen production has stood out as a strong contender. Hydrogen gas (H2) is well-known as one of the cleanest and most sustainable energy sources, one that mainly yields only water vapor as a byproduct. Additionally, H2 generates triple the amount of energy compared to hydrocarbon fuels. H2 can be synthesized from several technologies, but currently only 1% of H2 production is generated from biomass. Biological H2 production generated from anaerobic digestion is a fraction of the 1%. This study aims to enhance biological H2 production from anaerobic digesters by increasing H2 forming microbial abundance using batch experiments. Carbon substrate availability and conversion in the anaerobic processes were achieved by chemical oxygen demand and volatile fatty acids analysis. The capability of the matrix to neutralize acids in the reactors was assessed using alkalinity assay, and ammonium toxicity was monitored by ammonium measurements. H2 content was also investigated throughout the study. The study's results demonstrate two critical outcomes, (i) food waste as substrate yielded the highest H2 gas fraction in biogas compared to other substrates fed (primary sludge, waste activated sludge and mixed sludge with or without food waste), and (ii) under normal operating condition of anaerobic digesters, increasing hydrogen forming bacterial populations, including Clostridium spp., Lactococcus spp. and Lactobacillus spp. did not prolong biological H2 recovery due to H2 being taken up by other bacteria for methane (CH4) formation. Our experiment was operated under the most optimal condition for CH4 formation as suggested by wastewater operational manuals. Therefore, CH4-forming bacteria possessed more advantages than other microbial populations, including H2-forming groups, and rapidly utilized H2 prior to methane synthesis. This study demonstrates H2 energy renewed from food waste anaerobic digestion systems delivers opportunities to maximize California’s cap-and-trade program through zero carbon fuel production and utilization.
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