The document discusses fed batch culture techniques in microbiology. It begins with an overview of batch culture where nutrients are added only once at the start of cell culture. Fed batch culture involves adding nutrients before and during cell culture to overcome issues like catabolic repression and substrate inhibition seen in batch culture. Catabolic repression occurs when catabolites prevent the formation of enzymes needed to break down alternative nutrients. The document uses E.coli grown on glucose and lactose to illustrate this phenomenon. Substrate inhibition happens when the substrate concentration exceeds the optimal level, inhibiting the reaction. Fed batch culture allows controlling nutrient levels to maximize cell growth and product yields. Its advantages over batch culture are highlighted.
Fermentation
Scale up of fermentation
Steps in scale up
Scale up fermentation process
Optimizing scale up of fermentation process
Rules followed while doing scale up
Studies carried out during scale up
Reference
There are three main types of bioreactors: mechanically agitated bioreactors which use propellers to stir tank reactors; air driven bioreactors which are pneumatically agitated using bubbles, columns, and loops; and non-agitated bioreactors like packed beds and fluidized beds that rely on fluid flow rather than mixing devices.
This document discusses cellular engineering and modeling of cell growth kinetics, including:
- Cell metabolism involves hundreds of enzyme-catalyzed reactions, and growth can be modeled based on limiting substrates.
- The Monod model relates specific growth rate to limiting substrate concentration.
- Continuous culture systems like chemostats operate at steady-state with dilution rate equal to specific growth rate.
- Critical dilution rate marks the point where cells are "washed out" of the system faster than they can grow.
This document discusses screening techniques used to isolate microorganisms of interest from a population. It describes primary screening as an initial process to discard many non-useful microbes while detecting a small percentage that may have industrial applications. Secondary screening further tests the capabilities of these isolated microorganisms to determine their real potential value. Some primary screening techniques mentioned include using crowded plates, detecting organic acid production, and screening for antibiotic production. The document also discusses improving crowded plate techniques and the goals and approaches of secondary screening to evaluate a microorganism's potential for industrial use.
This document discusses the development of inoculum for industrial fermentation processes. It defines inoculum as a mixture of cultured microbes and the media they are growing in. The key steps in inoculum development are preparing a suitable growth media, maintaining optimal pH and nutrient levels, and conducting growth in stepwise increasing volumes. Examples of common inoculum media compositions are provided for vitamin and bacterial insecticide production processes. Developing high quality inoculum is important for efficiently adapting cultures to fermentation conditions.
Process scale-up is a critical activity that enables a fermentation process achieved in research and development to operate at a commercially viable scale for manufacturing.
The function of the fermenter or bioreactor is to provide a suitable environment in which an organism can efficiently produce a target product—the target product might be cell biomass,metabolite and bioconversion Product. It must be so designed that it is able to provide the optimum environments or conditions that will allow supporting the growth of the microorganisms. The design and mode of operation of a fermenter mainly depends on the production organism, the optimal operating condition required for target product formation, product value and scale of production.
The choice of microorganisms is diverse to be used in the fermentation studies. Bacteria, Unicellular fungi, Virus, Algal cells have all been cultivated in fermenters. Now more and more attempts are tried to cultivate single plant and animal cells in fermenters. It is very important for us to know the physical and physiological characteristics of the type of cells which we use in the fermentation. Before designing the vessel, the fermentation vessel must fulfill certain requirements that is needed that will ensure the fermentation process will occur efficiently. Some of the actuated parameters are: the agitation speed, the aeration rate, the heating intensity or cooling rate, and the nutrients feeding rate, acid or base valve. Precise environmental control is of considerable interest in fermentations since oscillations may lower the system efficiency, increase the plasmid instability and produce undesirable end products.
The document discusses fed batch culture techniques in microbiology. It begins with an overview of batch culture where nutrients are added only once at the start of cell culture. Fed batch culture involves adding nutrients before and during cell culture to overcome issues like catabolic repression and substrate inhibition seen in batch culture. Catabolic repression occurs when catabolites prevent the formation of enzymes needed to break down alternative nutrients. The document uses E.coli grown on glucose and lactose to illustrate this phenomenon. Substrate inhibition happens when the substrate concentration exceeds the optimal level, inhibiting the reaction. Fed batch culture allows controlling nutrient levels to maximize cell growth and product yields. Its advantages over batch culture are highlighted.
Fermentation
Scale up of fermentation
Steps in scale up
Scale up fermentation process
Optimizing scale up of fermentation process
Rules followed while doing scale up
Studies carried out during scale up
Reference
There are three main types of bioreactors: mechanically agitated bioreactors which use propellers to stir tank reactors; air driven bioreactors which are pneumatically agitated using bubbles, columns, and loops; and non-agitated bioreactors like packed beds and fluidized beds that rely on fluid flow rather than mixing devices.
This document discusses cellular engineering and modeling of cell growth kinetics, including:
- Cell metabolism involves hundreds of enzyme-catalyzed reactions, and growth can be modeled based on limiting substrates.
- The Monod model relates specific growth rate to limiting substrate concentration.
- Continuous culture systems like chemostats operate at steady-state with dilution rate equal to specific growth rate.
- Critical dilution rate marks the point where cells are "washed out" of the system faster than they can grow.
This document discusses screening techniques used to isolate microorganisms of interest from a population. It describes primary screening as an initial process to discard many non-useful microbes while detecting a small percentage that may have industrial applications. Secondary screening further tests the capabilities of these isolated microorganisms to determine their real potential value. Some primary screening techniques mentioned include using crowded plates, detecting organic acid production, and screening for antibiotic production. The document also discusses improving crowded plate techniques and the goals and approaches of secondary screening to evaluate a microorganism's potential for industrial use.
This document discusses the development of inoculum for industrial fermentation processes. It defines inoculum as a mixture of cultured microbes and the media they are growing in. The key steps in inoculum development are preparing a suitable growth media, maintaining optimal pH and nutrient levels, and conducting growth in stepwise increasing volumes. Examples of common inoculum media compositions are provided for vitamin and bacterial insecticide production processes. Developing high quality inoculum is important for efficiently adapting cultures to fermentation conditions.
Process scale-up is a critical activity that enables a fermentation process achieved in research and development to operate at a commercially viable scale for manufacturing.
The function of the fermenter or bioreactor is to provide a suitable environment in which an organism can efficiently produce a target product—the target product might be cell biomass,metabolite and bioconversion Product. It must be so designed that it is able to provide the optimum environments or conditions that will allow supporting the growth of the microorganisms. The design and mode of operation of a fermenter mainly depends on the production organism, the optimal operating condition required for target product formation, product value and scale of production.
The choice of microorganisms is diverse to be used in the fermentation studies. Bacteria, Unicellular fungi, Virus, Algal cells have all been cultivated in fermenters. Now more and more attempts are tried to cultivate single plant and animal cells in fermenters. It is very important for us to know the physical and physiological characteristics of the type of cells which we use in the fermentation. Before designing the vessel, the fermentation vessel must fulfill certain requirements that is needed that will ensure the fermentation process will occur efficiently. Some of the actuated parameters are: the agitation speed, the aeration rate, the heating intensity or cooling rate, and the nutrients feeding rate, acid or base valve. Precise environmental control is of considerable interest in fermentations since oscillations may lower the system efficiency, increase the plasmid instability and produce undesirable end products.
Control systems are necessary in fermenters to carefully monitor and regulate parameters like temperature, pH, oxygen levels, agitation and foaming. Sensors integrated directly into the fermenter provide real-time readings of these parameters to control systems which can activate mechanisms to precisely adjust the fermentation process as needed through elements like heating/cooling systems, pumps to add acids/bases and valves to control gas flow. Proper monitoring and control of these critical parameters is essential for optimal microbial growth and product formation.
Bioprocess engineering, also biochemical engineering, is a specialization of chemical engineering or Biological engineering, It deals with the design and development of equipment and processes for the manufacturing of products such as agriculture, food, feed, pharmaceuticals, nutraceuticals, chemicals, and polymers and paper from biological materials & treatment of waste water. Bioprocess engineering is a conglomerate of mathematics, biology and industrial design, and consists of various spectrums like designing of bioreactors, study of fermentors (mode of operations etc.). It also deals with studying various biotechnological processes used in industries for large scale production of biological product for optimization of yield in the end product and the quality of end product. Bioprocess engineering may include the work of mechanical, electrical, and industrial engineers to apply principles of their disciplines to processes based on using living cells or sub component of such cells.
The document discusses bioreactors, also known as fermenters. It provides information on:
(1) Bioreactors use living cells or enzymes to generate a higher value product from a lower value substrate. They are commonly used for food processing, fermentation, and waste treatment.
(2) Bioreactors can be classified based on the agent used (living cells or enzymes) and process requirements (aerobic, anaerobic, solid state, immobilized cells).
(3) Key functions of bioreactors include agitation, aeration, temperature regulation, and foam control to provide an optimized environment for cell/product growth.
This document discusses different methods for immobilizing whole cells, including perfusion bioreactors and biofilm formation. Perfusion bioreactors culture cells continuously over long periods by feeding fresh media and removing waste, while various separation methods like hollow fiber membranes or centrifuges keep cells in the bioreactor. Perfusion offers advantages like improved product quality, smaller reactor size, and lower costs compared to traditional fed-batch systems. The document also covers immobilizing cells through entrapment in polymers, attachment to surfaces, or passive biofilm formation on supports.
This PPT dicusses about the Stirred Tank Bioreactor and its features mainly used in Fermentation process.
Useful for students doing their Bachelor's in Life Science
The document discusses upstream processing in biomanufacturing. Upstream processing involves growing cells in bioreactors to produce target proteins for pharmaceuticals. Key aspects of upstream processing include media preparation and sterilization, inoculum development, and cell culture in bioreactors. The main goal of upstream processing is to provide optimal environmental conditions for cell growth and protein production before downstream processing separates and purifies the target proteins.
Oxygen transfer is an important factor in aerobic fermentation processes. Dissolved oxygen must be maintained above the critical level for the microorganism being used, typically through aeration and agitation of the fermentation broth. The specific oxygen uptake rate of microorganisms increases with increasing dissolved oxygen concentration up to the critical level, above which no further increases in oxygen uptake occur. Maintaining dissolved oxygen concentrations greater than the critical level maximizes biomass production by meeting the microorganism's maximum oxygen demand.
This document summarizes the application of computers in fermentation. It discusses the initial use of computers in the 1960s for modeling fermentation processes. Computers are now used for logging process data, analyzing the data, and controlling fermentation processes. Sensors are used to monitor important factors like temperature, pH, dissolved oxygen, and mineral/nutrient levels to provide data inputs for computer control and modeling of fermentation.
Measurement of mass transfer coefficient (k la) Ashok Shinde
The document discusses measurement of the volumetric mass transfer coefficient (KLa), which indicates the rate of oxygen transfer in a bioreactor. It describes various methods to determine KLa values, including chemical and physical techniques like the sodium sulphite oxidation method. The document also covers factors that affect KLa, and how KLa values are used to scale bioreactors from laboratory to production scale.
This document discusses bioreactor control systems. It describes different types of control systems including manual control, automatic control, two-position controllers, proportional control, integral control, and derivative control. It explains that automatic control systems use four basic components: a measuring element, controller, final control element, and the process to be controlled. The document also summarizes different combinations of control methods, such as proportional plus integral control and proportional plus integral plus derivative control.
This document discusses the key components required for microbial growth and fermentation, including carbon, nitrogen, minerals, vitamins and oxygen. It outlines the goals of optimizing fermentation media to maximize product yield while minimizing undesirable byproducts. Finally, it examines various carbon sources, nitrogen sources, minerals, trace elements and antifoaming agents used in fermentation media formulation.
This document discusses bubble column reactors. It covers bubble column fundamentals, types of bubble columns, gas spargers, bubble flow dynamics, CFD modeling, and comparisons of experiments vs simulations. Bubble columns mix gas and liquid by injecting gas into the liquid in the form of bubbles. Gas is sparged at the bottom to create bubbles and distribute them uniformly. CFD modeling can simulate bubble column fluid dynamics using Eulerian or Lagrangian approaches. Experiments are used to validate simulations and better understand bubble column behavior.
This document describes the airlift bioreactor, which uses forced air circulation to mix cells and nutrients without mechanical agitation. It has an inner riser region where air is injected upwards, and an outer downcomer region where degassed media and cells circulate downwards. The density gradient between these regions drives continuous fluid circulation. The bioreactor has a gas separator, sparger, and headspace to introduce air, separate gases, and allow foaming. It is useful for culturing shear-sensitive cells as it provides gentle mixing with low energy use.
This document summarizes batch and continuous sterilization techniques. It discusses that batch sterilization involves injecting steam or direct heating of media to reach 121°C for 20-60 minutes. Continuous sterilization operates at a higher temperature of 140°C for only 30-120 seconds. The document also reviews advantages and disadvantages of each technique, such as batch sterilization being more energy intensive while continuous sterilization risks precipitating certain compounds. Air sterilization methods like filtration and UV radiation are also summarized.
Downstream processing refers to the stages involved after fermentation or bioconversion, including separation, purification, and packaging of the product. The key stages are removal of insolubles through filtration, centrifugation or flocculation, product isolation using techniques like liquid-liquid extraction or adsorption, product purification using chromatography or crystallization, and product polishing which prepares the product for packaging and storage. Downstream processing aims to recover and purify the target product from the fermentation or reaction broth.
This document discusses aeration and agitation in fermentation processes. It explains that fermentations require oxygen which is typically provided by aerating and agitating the fermentation broth. Several factors affect the rate of oxygen transfer from air bubbles into the liquid including the mass transfer coefficient (KLa) and gas-liquid interface area. Higher KLa and interface area values provide more efficient oxygen transfer. The document also discusses methods for determining the KLa of a fermenter, including the gassing out technique where dissolved oxygen is monitored as the solution is aerated. Maintaining an optimal dissolved oxygen concentration is important for maximum biomass or product formation.
Simulation programs provide process engineers with an effective tool for process development besides experiments and trial plants. Modern simulation programs allow engineers to simulate individual units as well as networks of units. There are advantages to using simulation tools such as better understanding safety aspects, time and cost savings, and optimization of process control. Simulation programs can be divided into two groups: stationary programs suitable for steady state processes, and instationary programs for dynamic systems. Common simulation programs and the basic approaches of sequential modular and equation-oriented are described.
Industrial Bioprocessing Simulation and Modelling
The document discusses industrial bioprocessing, simulation, and modeling. It provides an overview of bioprocessing history and applications. Process simulation and modeling tools are used to optimize efficiency without extensive experimentation. Downstream processing aims to purify products through techniques like filtration. Process design considers product properties and impurities. Scale-up requires maintaining parameters like bed height and velocity. Career opportunities exist in engineering and science roles in biopharmaceutical industries, with salary packages ranging from 3.25-8 LPA depending on level.
Control systems are necessary in fermenters to carefully monitor and regulate parameters like temperature, pH, oxygen levels, agitation and foaming. Sensors integrated directly into the fermenter provide real-time readings of these parameters to control systems which can activate mechanisms to precisely adjust the fermentation process as needed through elements like heating/cooling systems, pumps to add acids/bases and valves to control gas flow. Proper monitoring and control of these critical parameters is essential for optimal microbial growth and product formation.
Bioprocess engineering, also biochemical engineering, is a specialization of chemical engineering or Biological engineering, It deals with the design and development of equipment and processes for the manufacturing of products such as agriculture, food, feed, pharmaceuticals, nutraceuticals, chemicals, and polymers and paper from biological materials & treatment of waste water. Bioprocess engineering is a conglomerate of mathematics, biology and industrial design, and consists of various spectrums like designing of bioreactors, study of fermentors (mode of operations etc.). It also deals with studying various biotechnological processes used in industries for large scale production of biological product for optimization of yield in the end product and the quality of end product. Bioprocess engineering may include the work of mechanical, electrical, and industrial engineers to apply principles of their disciplines to processes based on using living cells or sub component of such cells.
The document discusses bioreactors, also known as fermenters. It provides information on:
(1) Bioreactors use living cells or enzymes to generate a higher value product from a lower value substrate. They are commonly used for food processing, fermentation, and waste treatment.
(2) Bioreactors can be classified based on the agent used (living cells or enzymes) and process requirements (aerobic, anaerobic, solid state, immobilized cells).
(3) Key functions of bioreactors include agitation, aeration, temperature regulation, and foam control to provide an optimized environment for cell/product growth.
This document discusses different methods for immobilizing whole cells, including perfusion bioreactors and biofilm formation. Perfusion bioreactors culture cells continuously over long periods by feeding fresh media and removing waste, while various separation methods like hollow fiber membranes or centrifuges keep cells in the bioreactor. Perfusion offers advantages like improved product quality, smaller reactor size, and lower costs compared to traditional fed-batch systems. The document also covers immobilizing cells through entrapment in polymers, attachment to surfaces, or passive biofilm formation on supports.
This PPT dicusses about the Stirred Tank Bioreactor and its features mainly used in Fermentation process.
Useful for students doing their Bachelor's in Life Science
The document discusses upstream processing in biomanufacturing. Upstream processing involves growing cells in bioreactors to produce target proteins for pharmaceuticals. Key aspects of upstream processing include media preparation and sterilization, inoculum development, and cell culture in bioreactors. The main goal of upstream processing is to provide optimal environmental conditions for cell growth and protein production before downstream processing separates and purifies the target proteins.
Oxygen transfer is an important factor in aerobic fermentation processes. Dissolved oxygen must be maintained above the critical level for the microorganism being used, typically through aeration and agitation of the fermentation broth. The specific oxygen uptake rate of microorganisms increases with increasing dissolved oxygen concentration up to the critical level, above which no further increases in oxygen uptake occur. Maintaining dissolved oxygen concentrations greater than the critical level maximizes biomass production by meeting the microorganism's maximum oxygen demand.
This document summarizes the application of computers in fermentation. It discusses the initial use of computers in the 1960s for modeling fermentation processes. Computers are now used for logging process data, analyzing the data, and controlling fermentation processes. Sensors are used to monitor important factors like temperature, pH, dissolved oxygen, and mineral/nutrient levels to provide data inputs for computer control and modeling of fermentation.
Measurement of mass transfer coefficient (k la) Ashok Shinde
The document discusses measurement of the volumetric mass transfer coefficient (KLa), which indicates the rate of oxygen transfer in a bioreactor. It describes various methods to determine KLa values, including chemical and physical techniques like the sodium sulphite oxidation method. The document also covers factors that affect KLa, and how KLa values are used to scale bioreactors from laboratory to production scale.
This document discusses bioreactor control systems. It describes different types of control systems including manual control, automatic control, two-position controllers, proportional control, integral control, and derivative control. It explains that automatic control systems use four basic components: a measuring element, controller, final control element, and the process to be controlled. The document also summarizes different combinations of control methods, such as proportional plus integral control and proportional plus integral plus derivative control.
This document discusses the key components required for microbial growth and fermentation, including carbon, nitrogen, minerals, vitamins and oxygen. It outlines the goals of optimizing fermentation media to maximize product yield while minimizing undesirable byproducts. Finally, it examines various carbon sources, nitrogen sources, minerals, trace elements and antifoaming agents used in fermentation media formulation.
This document discusses bubble column reactors. It covers bubble column fundamentals, types of bubble columns, gas spargers, bubble flow dynamics, CFD modeling, and comparisons of experiments vs simulations. Bubble columns mix gas and liquid by injecting gas into the liquid in the form of bubbles. Gas is sparged at the bottom to create bubbles and distribute them uniformly. CFD modeling can simulate bubble column fluid dynamics using Eulerian or Lagrangian approaches. Experiments are used to validate simulations and better understand bubble column behavior.
This document describes the airlift bioreactor, which uses forced air circulation to mix cells and nutrients without mechanical agitation. It has an inner riser region where air is injected upwards, and an outer downcomer region where degassed media and cells circulate downwards. The density gradient between these regions drives continuous fluid circulation. The bioreactor has a gas separator, sparger, and headspace to introduce air, separate gases, and allow foaming. It is useful for culturing shear-sensitive cells as it provides gentle mixing with low energy use.
This document summarizes batch and continuous sterilization techniques. It discusses that batch sterilization involves injecting steam or direct heating of media to reach 121°C for 20-60 minutes. Continuous sterilization operates at a higher temperature of 140°C for only 30-120 seconds. The document also reviews advantages and disadvantages of each technique, such as batch sterilization being more energy intensive while continuous sterilization risks precipitating certain compounds. Air sterilization methods like filtration and UV radiation are also summarized.
Downstream processing refers to the stages involved after fermentation or bioconversion, including separation, purification, and packaging of the product. The key stages are removal of insolubles through filtration, centrifugation or flocculation, product isolation using techniques like liquid-liquid extraction or adsorption, product purification using chromatography or crystallization, and product polishing which prepares the product for packaging and storage. Downstream processing aims to recover and purify the target product from the fermentation or reaction broth.
This document discusses aeration and agitation in fermentation processes. It explains that fermentations require oxygen which is typically provided by aerating and agitating the fermentation broth. Several factors affect the rate of oxygen transfer from air bubbles into the liquid including the mass transfer coefficient (KLa) and gas-liquid interface area. Higher KLa and interface area values provide more efficient oxygen transfer. The document also discusses methods for determining the KLa of a fermenter, including the gassing out technique where dissolved oxygen is monitored as the solution is aerated. Maintaining an optimal dissolved oxygen concentration is important for maximum biomass or product formation.
Simulation programs provide process engineers with an effective tool for process development besides experiments and trial plants. Modern simulation programs allow engineers to simulate individual units as well as networks of units. There are advantages to using simulation tools such as better understanding safety aspects, time and cost savings, and optimization of process control. Simulation programs can be divided into two groups: stationary programs suitable for steady state processes, and instationary programs for dynamic systems. Common simulation programs and the basic approaches of sequential modular and equation-oriented are described.
Industrial Bioprocessing Simulation and Modelling
The document discusses industrial bioprocessing, simulation, and modeling. It provides an overview of bioprocessing history and applications. Process simulation and modeling tools are used to optimize efficiency without extensive experimentation. Downstream processing aims to purify products through techniques like filtration. Process design considers product properties and impurities. Scale-up requires maintaining parameters like bed height and velocity. Career opportunities exist in engineering and science roles in biopharmaceutical industries, with salary packages ranging from 3.25-8 LPA depending on level.
Computer aided process design and simulation (Cheg.pptxPaulosMekuria
knowledge-based system for conceptual design
3. Aspen Process Economic Analyzer: economic evaluation
of process alternatives, sensitivity analysis, optimization.
4. Aspen Batch: batch process design and scheduling.
5. Aspen Custom Modeler: object-oriented environment for
rigorous modeling of non-standard unit operations.
6. Aspen Process Optimization: steady state optimization
and dynamic optimization of processes.
7. Aspen PIMS: plant information management system.
8. Aspen Petroleum Supply Chain: supply chain modeling.
9. Aspen One: plant-wide real-time optimization.
10. Aspen InfoPlus.21: plant information management.
Chapter 6-Process Selection and Facility Layout.pptxKristaella Requiz
This document provides an overview of process selection and facility layout. It discusses the five basic process types (job shop, batch, repetitive, continuous, and project) and how factors like volume and variety influence process selection. It also covers product layouts and process layouts, describing their main advantages and disadvantages. Other topics include technology management, automation, 3D printing, and reasons for redesigning facility layouts. The goal is to facilitate smooth workflow and optimize efficiency, quality, and costs.
The document discusses the V-model of the system development life cycle (SDLC). It begins by defining the SDLC as a structured process or framework for developing software. It then describes the key phases of the V-model - requirements analysis, design, implementation, unit testing, integration testing, system testing, and acceptance testing. Each phase in the development process (left side of the V) has a corresponding testing phase (right side of the V) to validate the work. The V-model aims to ensure quality at each stage and prevent defects from propagating through the lifecycle.
This document provides an overview of an upcoming training on industry preparedness for engineering graduates and new hires. The training will cover topics to help participants gain basic knowledge and awareness of manufacturing industry practices, terms, and expectations. It will include sections on general operational guidelines, common terms used, manufacturing tools, the industrial revolution, market demands, industry 4.0 and product design, management systems, industry expectations of freshers, self-awareness, interview basics, and resume building. The goal is to help individuals be minimally aware of industry requirements and contribute efficiently with a faster ability to learn on the job.
The document discusses object-oriented system development life cycles and methodologies. It describes Rumbaugh's Object Modeling Technique (OMT), which uses object models, dynamic models, and functional models to analyze, design, and implement systems. It also covers Booch methodology, which focuses on analysis and design using class, object, state, module, process, and interaction diagrams. Additionally, it mentions Jacobson's use case methodology for user-driven analysis.
The document provides an overview of production management. It defines production as the process of converting raw materials into finished goods through value-addition. Production management refers to applying management principles to oversee production activities and ensure specified products are produced to meet sales targets. The objectives of production management are to produce quality products in the right quantities, at the right time and place, and at the lowest possible cost. The document also describes different production systems based on volume, including job shop, batch, mass and continuous production.
This document discusses cellular manufacturing. It begins by explaining that cellular manufacturing involves grouping similar products together based on their manufacturing requirements and producing them in dedicated manufacturing cells. Each cell contains the necessary machines and resources to produce a family of similar parts. The document then discusses the advantages of cellular manufacturing, such as reduced setup times, inventory, and material handling. It also notes potential disadvantages like issues balancing cell production volumes. The remainder of the document provides details on implementing cellular manufacturing, including identifying part families, designing cell layouts, and arranging machines within each cell for efficient production flow.
This software allows users to calculate the life cycle cost (LCC) of equipment based on reliability, maintainability, and availability models. It accepts cost inputs like acquisition, operation, maintenance, and other costs. The LCC is calculated as the sum of these costs minus any revenues. The software contains modules for equipment data, cost calculation, sensitivity analysis, report generation, and more. It uses mathematical formulas and simulations to analyze how factors like maintenance schedules and part failures impact the total LCC.
This software allows users to calculate the life cycle cost (LCC) of equipment based on reliability, maintainability, and availability models. It accepts cost inputs like acquisition, operation, maintenance, and other costs. The LCC is calculated as the sum of these costs minus any revenues. The software contains modules for equipment data, cost calculation, sensitivity analysis, report generation, and more. It uses mathematical formulas and simulations to analyze how the LCC would be impacted by varying parameters over the life of the equipment.
The document discusses production planning and control over 5 units:
Unit I introduces production planning and control, including its definition, objectives, functions, elements, types of production systems, and factors in product design.
Unit II covers forecasting, its importance and types of forecasting techniques.
Unit III discusses inventory management, including relevant inventory costs, analysis techniques like ABC and VED, economic order quantity model, inventory control systems, and introductions to concepts like MRP, ERP, JIT, and supply chain management.
Unit IV defines routing and scheduling, the difference between them, and scheduling policies and techniques.
Unit V describes dispatching activities and procedures, the need for follow up, and
The document discusses production planning and control over 5 units. Unit 1 introduces production planning and control, including definitions, objectives, functions, elements and types of production systems. It also discusses product design factors. Unit 2 covers forecasting methods, including qualitative and quantitative techniques. Unit 3 discusses inventory management concepts like relevant inventory costs, ABC analysis and economic order quantity model. Unit 4 describes routing and scheduling. Unit 5 presents dispatching functions and the application of computers in production planning and control.
Statistical test based model in software engineeringyashpurohit2020
The Cleanroom software development model was developed by Dr. Harlan Mills in 1981. It is an incremental development model that focuses on quality assurance throughout the development process, rather than just at the end. The process involves specification, development, certification, and documentation teams. Requirements are formally specified and the system is developed incrementally in a mathematically provable manner using formal design and box structures. Statistical testing is used during certification to measure quality. Examples include the ReactOS operating system and Phoenix BIOS implementations.
This document discusses various models of the software development process including the waterfall model, sashimi model, prototyping model, V-model, transformational model, phased development model, and spiral model. It describes the key characteristics and phases of each model. The goal of process modeling is to help development teams understand the activities, resources, and constraints involved in software development projects.
Production planning and control refers to two strategies that work cohesively throughout the manufacturing process. Production planning involves what to produce, when to produce it, how much to produce, and more. A long-term view of production planning is necessary to fully optimize the production flow.
Production control uses different control techniques to reach optimum performance from the production system to achieve throughput targets.
Click below to ENROLL in the course OR Copy paste the URL below.
https://www.udemy.com/course/production-ppc
PRODUCTION PLANNING AND CONTROL PPC NOTES.pptxshishirrathod1
To understand the various components and functions of production planning and control
To know the recent trends like manufacturing requirement Planning (MRP) and Enterprise
Resource planning (ERP).
To know the importance of selection of material, machines, methods and manpower
This document provides an introduction to software engineering and object-oriented concepts. It defines key terms like program, documentation, software characteristics. It describes various software engineering methodologies like Coad and Yourdon, Booch, Rumbaugh, and Jacobson. It also discusses object-oriented modeling, the Unified Modeling Language (UML), and compares traditional vs. object-oriented approaches.
IRJET- Use of Simulation in Different Phases of Manufacturing System Life CycleIRJET Journal
This document discusses the use of simulation throughout the manufacturing system life cycle, from conceptual design to operations planning. It provides examples of how simulation can be used to design modular assembly systems and optimize production capacity and operations planning. The key benefits of simulation include shortened design time, improved system design quality, faster sales cycles, and better training of personnel. Simulation allows experimenting with different configurations before implementing real systems and helps identify bottlenecks and optimize performance.
The document summarizes key topics in production and operations management, including the importance of the production function, mass production techniques, production processes, the role of technology, factors in plant location decisions, the jobs of production managers in planning, layout, production control, and quality control, and some common quality standards.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
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Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
2. Bioprocessing…
• Technique that produces a biological material,
such as a genetically engineered microbial strain,
for commercial use.
• In other words, a bioprocess consists of a cell
culture in a bioreactor, which is a process able to
create an optimal growth environment. The
central object of a bioprocess is the cell. A living
cell is a highly complex system which is often
defined as the smallest autonomous biological
unit.
5. Bioprocess modeling
• In order to improve process understanding or
performance, different automatic tools can be
developed: simulators able to reproduce system
behaviors, software sensors which allow obtaining
an judgment of an unmeasured signal to maintain
optimal conditions.
• All these tools rely on a representation of the
considered system, a mathematical model. Such a
model may come in various shapes and be express
with varying degrees of mathematical formalism.
6. Bioprocess modeling
• The engineer prepare a block diagram of all unit
operations, feed streams and waste streams.
• Specify the process’s chemical and biological component,
the feed stream, the method of calculating physical
properties and the data used in the simulation.
• Specify specific design requirements and
operating condition of each unit-operation block.
7. Empirical Approach
• Measure productivity for
all combinations of plant
operating conditions, and
make correlations.
Advantage: Little thought
is necessary.
Disadvantage: Many
experiments are required.
8. Modeling Approach
• Establish a model and design experiments to
determine the model parameters. Compare the
model behavior with the experimental
measurements. Use the model for coherent design,
control and optimization.
Advantage: Fewer experiments are required and
greater understanding is obtained.
Disadvantage: Time is required for developing
models.
9. 1. Unit operation model- to compare the performance and capital
and operating cost of each equipment item.
2. Physical property model- to compute the property of materials
in a bioprocess.
3. Economic evaluation system- to calculate total plant cost,
manufacturing cost, and profitability.
4. Flowsheet system- to cover the integrated flaw sheet with design
constraints and perform sensitivity calculations.
5. Optimization system- to automatically maximize performance.
6. User-friendly computing environment- to allow engineers to
access the system through a continent, interactive work station.
10. Stages in the modeling procedure
• proper definition of the problem
• formulated in mathematical terms.
• Numerical methods of solution with digital simulation
• The validity of the solution depends on the correct choice of
theory(physical and mathematical model), the ability to
identify model parameters correctly and accuracy in the
numerical solution method.
• Care and judgment must be taken such that the model does
not become over complex
11. Spreadsheet
• A spreadsheet is an electronic piece of paper with
empty boxes, known as cells. The user can enter
data in those cells, perform calculations, and
generate results. Results from spreadsheets can
be easily plotted in a variety of graphs.
• Spreadsheet applications, such as Microsoft
Excel, Lotus 1-2-3, and Corel Quattro Pro have
become as easy to use as word processors and
graphics packages. In its simplest form,.
13. Process Simulators
• Process simulators are software tools that
enable the user to readily represent and
analyze integrated processes.
• They have been in use in the petrochemical
industries since the early 1960’s.
14. BioProcess Simulator (BPS)
• The minimum requirements for a biochemical process
simulator are the ability to handle batch as well as
continuous processes and the ability to model the unit
operations that are specific to bioprocessing.
• Aspen Plus (from Aspen Technology): was the first tool of
this type. For a given Flowsheet, BPS used to carry out
material and energy balances, estimate the size and cost of
equipment, and perform economic evaluation. BPS has had
limited commercial success because it was designed that
normally operate only in batch mode.
15. • BATCHES (from Batch Process Technologies): it having
applications in pharmaceuticals, biochemical's, and food
processing. It is especially useful for fitting a new process
into an existing facility and analyzing resource demand as a
function of time.
• BioPro Designer(superPRO) (from Biotechnology Process
Engineering Center (BPEC): BioPro handles material and
energy balances, equipment sizing and costing, economic
evaluation, environmental impact assessment, process
scheduling, and debottlenecking of batch and continuous
processes.
16. SuperPro Designer
• It is used to illustrate the role of such tools in bioprocess
design.
• Start by developing a flowsheet that represents the overall
process. Displays the flowsheet of a hypothetical process on
the main window of SuperPro Designer.
• The flowsheet is developed by putting together the required
unit operations and joining them with material flow streams.
17.
18. • The user initializes the flowsheet by registering (selecting
from the component database)the various materials that are
used in the process and specifying operating conditions and
performance parameters for the various operations.
• Example: A typical chromatography cycle includes
equilibration, loading, washing, elution, and regeneration.
The set of operations that comprise a processing step is called
a “unit procedure operation”. Each unit procedure contains
individual tasks e.g. equilibration, loading, etc. A unit
procedure is represented on the screen with a single
equipment icon.
19.
20. • In real meaning, a unit procedure is the recipe of a
processing step that describes the sequence of
actions required to complete that step. The recipe of
a chromatography unit procedure is specified. On the
left-hand side of that dialog, the program displays
the operations that are available in a
chromatography procedure; on the right-hand side, it
displays the registered operations.
• The significance of the unit procedure is that it
enables the user to describe and model the various
activities of batch processing steps in detail.
21.
22. • The initialization dialog of a chromatography elution
operation. Through this dialog, the user specifies the
elution strategy (isocratic or gradient), selects the
buffer streams (two different solutions are required
for gradient elution) identifies the component
(Sodium Chloride in this case) whose concentration
varies during elution, specifies its initial and final
concentration, etc. Through the Labor, etc. tab of the
same dialog window, the user provides information
about labor requirement during this operation.
23. Advantages of combined modeling and
simulation approach
Modeling improves understanding.
Models help in experimental design.
Models may be used predicatively for design and
control.
Models can be used in training and education.
Models may be used for process optimization.