manufacturing support system is the some arrangement of the machine and software and process to work easily with properly handling of equipment like operation different types.it also conclude that all types of material handling system like automated storage and retrieval system etc are come in this categories.
Inventory control aims to ensure adequate supply without excessive overstock. It answers questions about when to order, where to store inventory, and how much to order. Two common inventory management techniques are the two-bin system and economic order quantity (EOQ) modeling, which help determine optimal order sizes and quantities. ABC analysis categorizes inventory items into A, B, and C categories to allow for different control and record-keeping based on importance.
Work measurement involves developing time standards for work tasks. A survey found 95% of manufacturing firms use work measurement for purposes like wage incentives, estimating costs, and production planning. Techniques for setting time standards include direct time studies, using standard data, predetermined systems, experience estimates, and work sampling. Computerized systems provide advantages like reducing the time to set standards, greater accuracy and uniformity, easier maintenance, and improved manufacturing data.
This document discusses various manufacturing techniques and processes, including craft production, mechanization, automation, and clean manufacturing. It addresses topics like assembly line production, computer-aided manufacturing, costs of production, and strategies for reducing pollution in manufacturing processes. The overall focus is on outlining different manufacturing methods and technologies as well as economic and environmental considerations related to product development and production.
Product planning identifies market requirements to define a product's features. It serves as the basis for pricing, distribution, and promotion decisions. Value analysis aims to increase value, defined as function over cost, by improving function or reducing cost. Lack of product planning can lead to unsatisfied customers, quality issues, and loss of brand name. Process planning involves routing, scheduling, dispatching, and follow up based on product information, processes, capacity, orders, due dates, and resources. Economic batch quantity determines the optimal batch size to minimize average costs by balancing setup costs and inventory holding costs.
This document provides an overview of group technology (GT) in manufacturing. It defines GT as an approach that groups similar parts into families to take advantage of their common design and production processes. The key benefits of GT include reduced setup times and inventory costs through specialized machine cells for each part family. While identifying appropriate part families and rearranging production equipment into cells can be challenging initially, GT aims to improve manufacturing efficiency through standardization and reduced material handling.
Unit 5-IE6605 & PRODUCTION PLANNING AND CONTROLMohanumar S
Inventory control aims to ensure adequate supply without excessive overstock. It answers questions about when to order, where to store inventory, and how much to order. Two common inventory management techniques are the two-bin system and economic order quantity (EOQ) modeling, which aim to minimize total inventory costs. ABC analysis categorizes inventory into A, B, and C items to allow for different control and record-keeping based on importance and cost.
Material Requirement planning (factors,inputs,outputs,benifits)razinbabaria786
MRP is a computerized system that converts a master production schedule into detailed procurement schedules for raw materials and vendor components. It aims to ensure the right quantity of materials are available at the right time to efficiently produce the required quantity of finished products while minimizing inventory levels. MRP takes into account factors like dependent/independent demands, lumpy demand, lead times, and common use items. Its key outputs include planned order releases, work orders, purchase orders, and rescheduling/cancellation notices.
manufacturing support system is the some arrangement of the machine and software and process to work easily with properly handling of equipment like operation different types.it also conclude that all types of material handling system like automated storage and retrieval system etc are come in this categories.
Inventory control aims to ensure adequate supply without excessive overstock. It answers questions about when to order, where to store inventory, and how much to order. Two common inventory management techniques are the two-bin system and economic order quantity (EOQ) modeling, which help determine optimal order sizes and quantities. ABC analysis categorizes inventory items into A, B, and C categories to allow for different control and record-keeping based on importance.
Work measurement involves developing time standards for work tasks. A survey found 95% of manufacturing firms use work measurement for purposes like wage incentives, estimating costs, and production planning. Techniques for setting time standards include direct time studies, using standard data, predetermined systems, experience estimates, and work sampling. Computerized systems provide advantages like reducing the time to set standards, greater accuracy and uniformity, easier maintenance, and improved manufacturing data.
This document discusses various manufacturing techniques and processes, including craft production, mechanization, automation, and clean manufacturing. It addresses topics like assembly line production, computer-aided manufacturing, costs of production, and strategies for reducing pollution in manufacturing processes. The overall focus is on outlining different manufacturing methods and technologies as well as economic and environmental considerations related to product development and production.
Product planning identifies market requirements to define a product's features. It serves as the basis for pricing, distribution, and promotion decisions. Value analysis aims to increase value, defined as function over cost, by improving function or reducing cost. Lack of product planning can lead to unsatisfied customers, quality issues, and loss of brand name. Process planning involves routing, scheduling, dispatching, and follow up based on product information, processes, capacity, orders, due dates, and resources. Economic batch quantity determines the optimal batch size to minimize average costs by balancing setup costs and inventory holding costs.
This document provides an overview of group technology (GT) in manufacturing. It defines GT as an approach that groups similar parts into families to take advantage of their common design and production processes. The key benefits of GT include reduced setup times and inventory costs through specialized machine cells for each part family. While identifying appropriate part families and rearranging production equipment into cells can be challenging initially, GT aims to improve manufacturing efficiency through standardization and reduced material handling.
Unit 5-IE6605 & PRODUCTION PLANNING AND CONTROLMohanumar S
Inventory control aims to ensure adequate supply without excessive overstock. It answers questions about when to order, where to store inventory, and how much to order. Two common inventory management techniques are the two-bin system and economic order quantity (EOQ) modeling, which aim to minimize total inventory costs. ABC analysis categorizes inventory into A, B, and C items to allow for different control and record-keeping based on importance and cost.
Material Requirement planning (factors,inputs,outputs,benifits)razinbabaria786
MRP is a computerized system that converts a master production schedule into detailed procurement schedules for raw materials and vendor components. It aims to ensure the right quantity of materials are available at the right time to efficiently produce the required quantity of finished products while minimizing inventory levels. MRP takes into account factors like dependent/independent demands, lumpy demand, lead times, and common use items. Its key outputs include planned order releases, work orders, purchase orders, and rescheduling/cancellation notices.
This document provides an overview of material requirements planning (MRP). MRP is a computer-based information system that translates master schedule requirements for end items into time-phased requirements for subassemblies, components, and raw materials. The key inputs to MRP are the master production schedule, bill of materials, and inventory records. MRP processing involves calculating gross requirements, scheduled receipts, projected on hand, net requirements, planned-order receipts, and planned-order releases. The primary outputs of MRP are planned orders, order releases, and changes to due dates or order quantities. MRP provides advantages like minimized inventory, accurate information, and greater responsiveness, but also has disadvantages such as reliance on accurate information
The document defines Manufacturing Planning and Control (MPC) as a methodology to efficiently manage material flow, resource utilization, and respond to customer demand. It presents a framework for MPC with key areas of international context, customer role, and information technology role. The framework also outlines the front end, engine, and back end components of an MPC system and how it can be classified based on production characteristics.
This document discusses production planning and control. It outlines several key objectives of production planning including minimizing costs and inventory while maximizing customer service and production efficiency. The document then describes different types of production systems like continuous, job-based, and intermittent production. It also discusses important aspects of production like product design, development, marketing, functional operations, aesthetics, and profit considerations. Standardization, simplification, and break-even analysis are also covered as important strategies for production.
The document discusses concepts related to computer aided planning and control in manufacturing. It covers topics like production planning and control, material requirements planning (MRP), inventory management, and Just-in-Time manufacturing. Production planning and control involves production planning, production control, and aims to efficiently direct resources to meet production goals. MRP is a technique that converts a master production schedule into detailed schedules for raw materials and components. Inventory management and economic order quantity models are also examined.
Unit 3-IE6605 & PRODUCTION PLANNING AND CONTROLMohanumar S
Product planning identifies market requirements to define a product's features. It serves as the basis for pricing, distribution, and promotion decisions. Value analysis aims to increase value, defined as function over cost, by improving function or reducing cost. Lack of product planning can lead to unsatisfied customers, quality issues, and loss of brand name. Process planning involves routing, scheduling, dispatching, and follow up based on product information, processes, capacity, orders, due dates, and resources. Economic batch quantity determines the optimal batch size to minimize average costs by balancing setup costs and inventory holding costs.
The document discusses various topics related to process selection including types of processes, techniques, and factors to consider. It describes three main types of processes: project form, intermittent flow, and continuous flow. Project form involves short-term tasks with different functional specializations. Intermittent flow includes various standard operations and complex planning. Continuous flow is difficult to adapt but allows capital-intensive automation. Flexible manufacturing systems combine advantages of continuous and intermittent flow. Process selection depends on factors like production volume and product variety.
Introduction of material resource planning,The basic MRP concepts , Inputs to MRP ,1.Master production Schedule ,2.Bill-of-materials file, 3 .Inventor Record File ,MRP output Records, benefits of MRP , Capacity Requirements Planning (CRP),inputs to the CRP ,major outputs of CRP ,Enterprise Resource Planning (ERP),stages of ERP
Computer integrated production planning systemTrony Tron
This document discusses computer integrated production planning systems. It outlines different types of companies that would utilize such systems, including automobile, mobile, robotics, and food manufacturing companies. It emphasizes that production planning needs to consider customer needs through market analysis and forecasting, as well as availability of raw materials. The document then describes how production planning systems bring all of these processes under one system and allow planning to occur at various levels from long to short range. It highlights how computer integration allows modification from anywhere and monitoring of the entire product lifecycle.
Inventory control aims to ensure adequate supply without excessive overstock. It answers questions about when to order, where to store inventory, and how much to order. Two common inventory management techniques are the two-bin system and economic order quantity (EOQ) modeling, which help determine optimal order sizes and quantities. ABC analysis categorizes inventory items into A, B, and C groups to apply different control and recordkeeping policies based on importance and value.
An integrated warehouse management system based on demand flow technology (DFT) can optimize material handling in a manufacturing plant. DFT is a pull manufacturing system that triggers production based on customer demand using kanban techniques. It accommodates small lot sizes down to single units and allows flexibility in scheduling. Implementing DFT requires major changes to corporate culture, organization structures, management attitudes, and worker relationships. Adopting DFT can eliminate inspector jobs, dramatically reduce cycle times and work in progress, enable faster inventory turnover, and support both JIT and TQM operations.
Product planning identifies market requirements to define a product's features. It serves as the basis for pricing, distribution, and promotion decisions. Value analysis aims to increase value, defined as function over cost, by improving function or reducing cost. Lack of product planning can lead to unsatisfied customers, quality issues, and loss of brand name. Process planning involves routing, scheduling, dispatching, and follow up based on product information, processes, capacity, orders, due dates, and resources. Economic batch quantity determines the optimal batch size to minimize average costs by balancing setup costs and inventory carrying costs.
The document discusses the evolution of computer systems used in manufacturing from early reorder point systems to more advanced modern systems like MRP, JIT, and MRP II. A manufacturing information system is defined as a computer-based system that works with other functional systems to support management in solving manufacturing problems. It consists of input subsystems, output subsystems, and users.
Inventory control aims to ensure adequate supply without excessive overstock. It answers questions about when to order, where to store inventory, and how much to order. Two common inventory management techniques are the two-bin system and economic order quantity (EOQ) modeling, which aim to minimize total inventory costs. ABC analysis categorizes inventory into A, B, and C items to apply appropriate control policies to each.
The document discusses materials requirements planning (MRP), which coordinates the flow of components and inputs through the production process. MRP was developed after World War II to improve upon quarterly ordering systems as demand became more based on forecasts rather than confirmed orders. It takes production forecasts and breaks them down into weekly schedules using a bill of materials to determine dependent demand for components. MRP provides schedules and priorities to help manage inventory levels and avoid stockouts. It requires accurate data on master production schedules, bills of materials, inventory levels, and order status.
This document discusses computer aided process planning (CAPP). It outlines the key steps in process planning including drawing interpretation, material and process selection, selecting machines and tools, setting process parameters, quality assurance methods, cost estimating, documentation, and communicating the plan to the shop floor. CAPP aims to reduce errors and improve efficiency over manual planning. The benefits of CAPP include process rationalization, productivity gains, cost reductions, faster response to changes, and incorporating other applications. CAPP systems can be either retrieval-based, recalling plans for similar parts, or generative, creating new plans from scratch.
The document describes the traditional 'push' system of manufacturing and its weaknesses compared to the 'pull' system. The traditional system starts in the factory with production based on demand forecasts, involves storage of materials and components, and ends with finished goods in storage until purchased by customers. This pushes products from the factory to customers. In contrast, the 'pull' system starts with customer orders and uses a pull system of production down the process chain triggered by customer demand. The key principles of the 'pull' system emphasize minimizing waste and maximizing flow, utilization, flexibility, and communication.
MRP System Structure (Input and Output)
Master Production Schedule (MPS)
Bill of Material (BOM)
Inventory Records File
MRP Terminology
MRP Explosion Process
MRP Management
MRP and JIT
The document discusses computer integrated manufacturing (CIM) and its key components. CIM involves integrating manufacturing operations through information systems and networks. It aims to simplify production, automate processes, and integrate functions. CIM can provide benefits like improved quality, flexibility and reduced costs. The document outlines CIM concepts like computer-aided manufacturing and manufacturing execution systems, and how communication networks are essential for enterprise integration in CIM.
This document discusses cellular manufacturing and group technology. It describes group technology as organizing manufacturing by grouping parts with similar shapes, dimensions, or manufacturing processes. This justifies batch production and increases efficiency. Cellular manufacturing involves designing machine cells and layouts to group similar production processes together. The document discusses various part classification and coding methods used to analyze production flow and form part families based on design and manufacturing attributes. This includes visual inspection and coding schemes involving hierarchical, attribute, or decision tree codes.
InstantGMP Compliance Series - Improving Quality through In-Process ControlInstantGMP™
In-Process controls are needed at each step of a manufacturing procedure where the control of a critical process can affect the quality of the final product. This presentation explains how to set and use in-process controls.
This document provides an overview of an industrial automation course. It discusses key topics that will be covered, including production systems, automation strategies, types of automation, and reasons for automating manufacturing processes. The course will examine various industrial automation components and systems, such as sensors and actuators, automated machine tools, robotics, and flexible manufacturing systems. Students will work on a design project and learn through lectures, course notes, textbooks, and YouTube videos.
Production is the process of transforming inputs into outputs through a value-adding process. It involves converting raw materials, labor, capital equipment, information, and energy into finished goods and services. Productivity measures the efficiency of production by dividing total outputs by total inputs. It can be improved by increasing worker skills, adopting new technology, boosting employee motivation, and optimizing resource management. Measuring productivity helps evaluate how efficiently an organization utilizes its resources to produce outputs.
This document provides an overview of material requirements planning (MRP). MRP is a computer-based information system that translates master schedule requirements for end items into time-phased requirements for subassemblies, components, and raw materials. The key inputs to MRP are the master production schedule, bill of materials, and inventory records. MRP processing involves calculating gross requirements, scheduled receipts, projected on hand, net requirements, planned-order receipts, and planned-order releases. The primary outputs of MRP are planned orders, order releases, and changes to due dates or order quantities. MRP provides advantages like minimized inventory, accurate information, and greater responsiveness, but also has disadvantages such as reliance on accurate information
The document defines Manufacturing Planning and Control (MPC) as a methodology to efficiently manage material flow, resource utilization, and respond to customer demand. It presents a framework for MPC with key areas of international context, customer role, and information technology role. The framework also outlines the front end, engine, and back end components of an MPC system and how it can be classified based on production characteristics.
This document discusses production planning and control. It outlines several key objectives of production planning including minimizing costs and inventory while maximizing customer service and production efficiency. The document then describes different types of production systems like continuous, job-based, and intermittent production. It also discusses important aspects of production like product design, development, marketing, functional operations, aesthetics, and profit considerations. Standardization, simplification, and break-even analysis are also covered as important strategies for production.
The document discusses concepts related to computer aided planning and control in manufacturing. It covers topics like production planning and control, material requirements planning (MRP), inventory management, and Just-in-Time manufacturing. Production planning and control involves production planning, production control, and aims to efficiently direct resources to meet production goals. MRP is a technique that converts a master production schedule into detailed schedules for raw materials and components. Inventory management and economic order quantity models are also examined.
Unit 3-IE6605 & PRODUCTION PLANNING AND CONTROLMohanumar S
Product planning identifies market requirements to define a product's features. It serves as the basis for pricing, distribution, and promotion decisions. Value analysis aims to increase value, defined as function over cost, by improving function or reducing cost. Lack of product planning can lead to unsatisfied customers, quality issues, and loss of brand name. Process planning involves routing, scheduling, dispatching, and follow up based on product information, processes, capacity, orders, due dates, and resources. Economic batch quantity determines the optimal batch size to minimize average costs by balancing setup costs and inventory holding costs.
The document discusses various topics related to process selection including types of processes, techniques, and factors to consider. It describes three main types of processes: project form, intermittent flow, and continuous flow. Project form involves short-term tasks with different functional specializations. Intermittent flow includes various standard operations and complex planning. Continuous flow is difficult to adapt but allows capital-intensive automation. Flexible manufacturing systems combine advantages of continuous and intermittent flow. Process selection depends on factors like production volume and product variety.
Introduction of material resource planning,The basic MRP concepts , Inputs to MRP ,1.Master production Schedule ,2.Bill-of-materials file, 3 .Inventor Record File ,MRP output Records, benefits of MRP , Capacity Requirements Planning (CRP),inputs to the CRP ,major outputs of CRP ,Enterprise Resource Planning (ERP),stages of ERP
Computer integrated production planning systemTrony Tron
This document discusses computer integrated production planning systems. It outlines different types of companies that would utilize such systems, including automobile, mobile, robotics, and food manufacturing companies. It emphasizes that production planning needs to consider customer needs through market analysis and forecasting, as well as availability of raw materials. The document then describes how production planning systems bring all of these processes under one system and allow planning to occur at various levels from long to short range. It highlights how computer integration allows modification from anywhere and monitoring of the entire product lifecycle.
Inventory control aims to ensure adequate supply without excessive overstock. It answers questions about when to order, where to store inventory, and how much to order. Two common inventory management techniques are the two-bin system and economic order quantity (EOQ) modeling, which help determine optimal order sizes and quantities. ABC analysis categorizes inventory items into A, B, and C groups to apply different control and recordkeeping policies based on importance and value.
An integrated warehouse management system based on demand flow technology (DFT) can optimize material handling in a manufacturing plant. DFT is a pull manufacturing system that triggers production based on customer demand using kanban techniques. It accommodates small lot sizes down to single units and allows flexibility in scheduling. Implementing DFT requires major changes to corporate culture, organization structures, management attitudes, and worker relationships. Adopting DFT can eliminate inspector jobs, dramatically reduce cycle times and work in progress, enable faster inventory turnover, and support both JIT and TQM operations.
Product planning identifies market requirements to define a product's features. It serves as the basis for pricing, distribution, and promotion decisions. Value analysis aims to increase value, defined as function over cost, by improving function or reducing cost. Lack of product planning can lead to unsatisfied customers, quality issues, and loss of brand name. Process planning involves routing, scheduling, dispatching, and follow up based on product information, processes, capacity, orders, due dates, and resources. Economic batch quantity determines the optimal batch size to minimize average costs by balancing setup costs and inventory carrying costs.
The document discusses the evolution of computer systems used in manufacturing from early reorder point systems to more advanced modern systems like MRP, JIT, and MRP II. A manufacturing information system is defined as a computer-based system that works with other functional systems to support management in solving manufacturing problems. It consists of input subsystems, output subsystems, and users.
Inventory control aims to ensure adequate supply without excessive overstock. It answers questions about when to order, where to store inventory, and how much to order. Two common inventory management techniques are the two-bin system and economic order quantity (EOQ) modeling, which aim to minimize total inventory costs. ABC analysis categorizes inventory into A, B, and C items to apply appropriate control policies to each.
The document discusses materials requirements planning (MRP), which coordinates the flow of components and inputs through the production process. MRP was developed after World War II to improve upon quarterly ordering systems as demand became more based on forecasts rather than confirmed orders. It takes production forecasts and breaks them down into weekly schedules using a bill of materials to determine dependent demand for components. MRP provides schedules and priorities to help manage inventory levels and avoid stockouts. It requires accurate data on master production schedules, bills of materials, inventory levels, and order status.
This document discusses computer aided process planning (CAPP). It outlines the key steps in process planning including drawing interpretation, material and process selection, selecting machines and tools, setting process parameters, quality assurance methods, cost estimating, documentation, and communicating the plan to the shop floor. CAPP aims to reduce errors and improve efficiency over manual planning. The benefits of CAPP include process rationalization, productivity gains, cost reductions, faster response to changes, and incorporating other applications. CAPP systems can be either retrieval-based, recalling plans for similar parts, or generative, creating new plans from scratch.
The document describes the traditional 'push' system of manufacturing and its weaknesses compared to the 'pull' system. The traditional system starts in the factory with production based on demand forecasts, involves storage of materials and components, and ends with finished goods in storage until purchased by customers. This pushes products from the factory to customers. In contrast, the 'pull' system starts with customer orders and uses a pull system of production down the process chain triggered by customer demand. The key principles of the 'pull' system emphasize minimizing waste and maximizing flow, utilization, flexibility, and communication.
MRP System Structure (Input and Output)
Master Production Schedule (MPS)
Bill of Material (BOM)
Inventory Records File
MRP Terminology
MRP Explosion Process
MRP Management
MRP and JIT
The document discusses computer integrated manufacturing (CIM) and its key components. CIM involves integrating manufacturing operations through information systems and networks. It aims to simplify production, automate processes, and integrate functions. CIM can provide benefits like improved quality, flexibility and reduced costs. The document outlines CIM concepts like computer-aided manufacturing and manufacturing execution systems, and how communication networks are essential for enterprise integration in CIM.
This document discusses cellular manufacturing and group technology. It describes group technology as organizing manufacturing by grouping parts with similar shapes, dimensions, or manufacturing processes. This justifies batch production and increases efficiency. Cellular manufacturing involves designing machine cells and layouts to group similar production processes together. The document discusses various part classification and coding methods used to analyze production flow and form part families based on design and manufacturing attributes. This includes visual inspection and coding schemes involving hierarchical, attribute, or decision tree codes.
InstantGMP Compliance Series - Improving Quality through In-Process ControlInstantGMP™
In-Process controls are needed at each step of a manufacturing procedure where the control of a critical process can affect the quality of the final product. This presentation explains how to set and use in-process controls.
This document provides an overview of an industrial automation course. It discusses key topics that will be covered, including production systems, automation strategies, types of automation, and reasons for automating manufacturing processes. The course will examine various industrial automation components and systems, such as sensors and actuators, automated machine tools, robotics, and flexible manufacturing systems. Students will work on a design project and learn through lectures, course notes, textbooks, and YouTube videos.
Production is the process of transforming inputs into outputs through a value-adding process. It involves converting raw materials, labor, capital equipment, information, and energy into finished goods and services. Productivity measures the efficiency of production by dividing total outputs by total inputs. It can be improved by increasing worker skills, adopting new technology, boosting employee motivation, and optimizing resource management. Measuring productivity helps evaluate how efficiently an organization utilizes its resources to produce outputs.
The VFF project aims to create a holistic, extensible, and scalable Virtual Factory Framework. The project has a budget of 12.075 million euros and runs from 2009 to 2012. It involves multiple partners collaborating on four pillars: technical, logistical, quality, and factory planning. The goals are to reduce costs and improve quality, flexibility, and productivity through virtual simulation and optimization of factory processes, reconfiguration, and planning.
The Role of Models in Semiconductor Smart ManufacturingKimberly Daich
This document discusses the role of models in smart manufacturing. It defines smart manufacturing as cyber-physical systems that monitor physical processes, create virtual copies, and make decentralized decisions via the Internet of Things in real-time. The presentation outlines how equipment models have evolved through SEMI standards and are now sufficient to support application interoperability. It provides examples of how equipment models can be leveraged for applications like substrate tracking, process execution tracking, lot completion estimation, and fault detection/classification. The document concludes that models will play an increasingly important role in smart manufacturing as the number and variety of connected components grows.
The experiment aimed to monitor energy and gas consumption on an aircraft parts production line. Sensors were installed to measure consumption of autoclaves and machines. Apache Flink processed streaming data and Orion stored it. Knowage visualized trends and provided indicators. The system identified optimization rules, applying a new recipe reducing energy 11.12%, gases 12.92%, and production time 8%, meeting KPI targets. COVID-19 impacted sensor installation but rules still provided decision support.
IIoT-in-a-Box: Applicazioni di Internet of Things per l'automazione industriale
Presented by Andrea Ceiner, Eurotech and Barbara Angelini, IBM at SAVE 2015 in Verona (Italy)
A plan, process, or manufacturing strategy that forces congruence between the...NiranjanDeshmukh9
CIM Technology. A plan, process, or manufacturing strategy that forces congruence between the corporate objectives and marketing goals and production capability of a company
This document provides an introduction to computer integrated manufacturing (CIM). It defines CIM as the integration of the total manufacturing enterprise through computer systems and data communications to improve organizational efficiency. The document outlines the components of CIM which include CAD, CAM, CAPP, and other computerized manufacturing support systems. It also discusses the benefits of automating manufacturing support systems and different levels of automation from fixed to flexible systems.
This document provides an introduction to computer integrated manufacturing (CIM). It defines CIM as the integration of the total manufacturing enterprise through computer systems and data communications to improve organizational efficiency. The document outlines the components of CIM which include CAD, CAM, CAPP, and other computerized manufacturing support systems. It also discusses how CIM aims to improve communication between people and machines in the manufacturing process.
In this presentation, we will discuss production planning system, factors determining production control procedure, role of production planning and control in operations management, scope of production planning and control, its phases and principles. We will also talk about framework for strategy formulations and task control, PPC limitations, effectiveness, PPC in different systems, requirement of an effective PPC in a system and make or buy analysis.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit: http://www.welingkaronline.org/distance-learning/online-mba.html
Production Planning and Control
Objective of PPC
Classification/Functions of PPC
Levels of PPC
Factors determining Production Planning Procedures
Production Planning System
Factors Determining PC procedures
This document provides an overview of automation in manufacturing processes. It discusses numerical control, adaptive control, material handling systems, industrial robots, and sensor technology as key aspects of automation. The goals of automation are also outlined, such as improving productivity, quality, and reducing costs. The document then covers computer-integrated manufacturing systems, including computer-aided design/engineering, manufacturing, process planning, group technology, flexible manufacturing systems, and just-in-time production.
Planning for high volume standardised productNidhi Vats
This document discusses planning for mass production of standardized products. It begins with defining production systems and describing different types - job shop, batch, and continuous production. It then covers the history of mass production and Ford's moving assembly line. Key aspects of mass production are standardized products/processes and production planning and control. Standardization aims to produce variety from minimal parts. Production planning coordinates departments and aims for efficient resource use and meeting production objectives. It describes production planning procedures and purposes. Mass production planning involves process planning, capacity planning, routing, scheduling, and product design considerations.
This document discusses the impact of changing technology on management accounting. It describes how new technologies like CAD, CAM, CIM, FMS, cellular manufacturing and ERP systems have modernized production systems. These integrated systems allow for increased flexibility, reduced setup times, decentralized production through work cells, real-time data access, and decreased inventory costs. The changing technologies require management accounting to adapt and provide information to support just-in-time production, improved quality control, and better customer service.
Industrial Engineering unit 4.Production planning and control Notes by badebhau.Er. Bade Bhausaheb
Production planning and control aims to efficiently and effectively manage operations in a manufacturing organization. It addresses issues like low productivity, inventory management, and resource utilization. The key objectives of production planning and control are to optimize capacity utilization, maintain optimal inventory levels, minimize costs, and ensure quality. Production planning involves determining what to produce, when, how much, and other long-term decisions. Production control techniques are used to achieve production planning targets by regulating inventory, scheduling production, and optimizing resource usage.
The key factors that determine production control procedures are:
1) The nature of production - whether the process is continuous, intermittent, or a combination. Continuous processes have standardized routing and quality control while intermittent processes have a variety of materials and multi-operation production.
2) The complexity of operations - which increases with the variety of operations, parts, processes, machine variations, and dependencies between processes.
3) The magnitude of operations - larger operations and more physically separated departments require more formal and centralized production control organizations and procedures.
This presentation is focused on the topic of automation and its various applications. It is my pleasure to share with you the information and insights that we have gathered on this subject.
Automation Notes on Manufacturing in Industries.pptPrabhuSwamy24
1. Automation is a technology that uses mechanical, electronic, and computer-based systems to operate processes without human assistance. This allows manufacturing processes to increase speed and reduce costs while improving quality.
2. There are three basic types of automated manufacturing systems - fixed automation with a set sequence of operations, programmable automation where the sequence can be changed through programming, and flexible automation that can continuously produce a variety of products with minimal changeover time.
3. The benefits of automation include increased productivity and labor efficiency, reduced labor costs, improved quality and worker safety, and the ability to accomplish processes that cannot be done manually.
1. Automation is a technology that uses mechanical, electronic, and computer-based systems to operate processes without human assistance. This allows manufacturing processes to increase speed and reduce costs while improving quality.
2. There are three basic types of automated manufacturing systems - fixed automation with a set sequence of operations, programmable automation where the sequence can be changed via a program, and flexible automation which can continuously produce a variety of products with minimal changeover time.
3. The benefits of automation include increased productivity and quality, reduced costs and labor needs, and improved worker safety. Automation allows for specialized, simultaneous, and integrated operations along with enhanced process control and computer integration of manufacturing.
Similar to Tex Win project: Overview ( textile, plastics, product/process quality, production optimisation, adaptive control system, case-based reasoning, machine configuration ) (20)
Short presentation of the eBIZ reference architecture: vision and features, t...Enea CROSS-TEC (English)
Slides "Short presentation of the eBIZ reference architecture: vision and features, the direction of next steps".
Presented in Frankfurt at eBIZ FAshion Forum, organised by GCS, ENEA and Euratex on 19th September 2018 in the framework of th eeBIZ 4.0 project.
Short presentation about the reasons for adopting eBIZ, it might be considered as a short introduction to eBIZ,
Developed for eBIZ 4.0 project (see http://www.moda-ml.org or www.ebiz-tcf.eu);
presented at RegioTex initiative in Bologna, June 2017 (http://www.moda-ml.org?p=690&li=en).
The content of this course represents the views of the authors only and is their sole responsibility;
it cannot be considered to reflect the views of the European Commission and/or the Executive Agency for Small and Medium-sized Enterprises or any other body of the European Union.
The European Commission and the Agency do not accept any responsibility for use that may be made of the information it contains.
Short introductive course for the adoption of eBIZ, the data exchange specification for eBusiness in European textile clothing and footwear industry.
It has been produced in the framework of the eBIZ 4.0 project funded in the framework of the COSME programme of the European Union
The course is based on 7 short modules
1 Terminology
2 eBIZ
3 eBIZ applicative domain
4 Focus on…
4a Focus on… Fabric
4b Focus on… Garment
5 The adoption path, use profiles
6 Resources and documentation
7 Validation and control
More information in www.ebiz-tcf.eu and www.moda-ml.org
The content of this course represents the views of the authors only and is their sole responsibility;
it cannot be considered to reflect the views of the European Commission and/or the Executive Agency for Small and Medium-sized Enterprises or any other body of the European Union.
The European Commission and the Agency do not accept any responsibility for use that may be made of the information it contains.
Short introductive course for the adoption of eBIZ, the data exchange specification for eBusiness in European textile clothing and footwear industry.
It has been produced in the framework of the eBIZ 4.0 project funded in the framework of the COSME programme of the European Union
The course is based on 7 short modules
1 Terminology
2 eBIZ
3 eBIZ applicative domain
4 Focus on…
4a Focus on… Fabric
4b Focus on… Garment
5 The adoption path, use profiles
6 Resources and documentation
7 Validation and control
More information in www.ebiz-tcf.eu and www.moda-ml.org
The content of this course represents the views of the authors only and is their sole responsibility;
it cannot be considered to reflect the views of the European Commission and/or the Executive Agency for Small and Medium-sized Enterprises or any other body of the European Union.
The European Commission and the Agency do not accept any responsibility for use that may be made of the information it contains.
Short introductive course for the adoption of eBIZ, the data exchange specification for eBusiness in European textile clothing and footwear industry.
It has been produced in the framework of the eBIZ 4.0 project funded in the framework of the COSME programme of the European Union
The course is based on 7 short modules
1 Terminology
2 eBIZ
3 eBIZ applicative domain
4 Focus on…
4a Focus on… Fabric
4b Focus on… Garment
5 The adoption path, use profiles
6 Resources and documentation
7 Validation and control
More information in www.ebiz-tcf.eu and www.moda-ml.org
The content of this course represents the views of the authors only and is their sole responsibility;
it cannot be considered to reflect the views of the European Commission and/or the Executive Agency for Small and Medium-sized Enterprises or any other body of the European Union.
The European Commission and the Agency do not accept any responsibility for use that may be made of the information it contains.
Short introductive course for the adoption of eBIZ, the data exchange specification for eBusiness in European textile clothing and footwear industry.
It has been produced in the framework of the eBIZ 4.0 project funded in the framework of the COSME programme of the European Union
The course is based on 7 short modules
1 Terminology
2 eBIZ
3 eBIZ applicative domain
4 Focus on…
4a Focus on… Fabric
4b Focus on… Garment
5 The adoption path, use profiles
6 Resources and documentation
7 Validation and control
More information in www.ebiz-tcf.eu and www.moda-ml.org
The content of this course represents the views of the authors only and is their sole responsibility;
it cannot be considered to reflect the views of the European Commission and/or the Executive Agency for Small and Medium-sized Enterprises or any other body of the European Union.
The European Commission and the Agency do not accept any responsibility for use that may be made of the information it contains.
Short introductive course for the adoption of eBIZ, the data exchange specification for eBusiness in European textile clothing and footwear industry.
It has been produced in the framework of the eBIZ 4.0 project funded in the framework of the COSME programme of the European Union
The course is based on 7 short modules
1 Terminology
2 eBIZ
3 eBIZ applicative domain
4 Focus on…
4a Focus on… Fabric
4b Focus on… Garment
5 The adoption path
6 Resources and documentation
7 Validation and control
More information in www.ebiz-tcf.eu and www.moda-ml.org
The content of this course represents the views of the authors only and is their sole responsibility;
it cannot be considered to reflect the views of the European Commission and/or the Executive Agency for Small and Medium-sized Enterprises or any other body of the European Union.
The European Commission and the Agency do not accept any responsibility for use that may be made of the information it contains.
Short introductive course for the adoption of eBIZ, the data exchange specification for eBusiness in European textile clothing and footwear industry.
It has been produced in the framework of the eBIZ 4.0 project funded in the framework of the COSME programme of the European Union
The course is based on 7 short modules
1 Terminology
2 eBIZ
3 eBIZ applicative domain
4 Focus on…
4a Focus on… Fabric
4b Focus on… Garment
5 The adoption path
6 Resources and documentation
7 Validation and control
More information in www.ebiz-tcf.eu and www.moda-ml.org
The content of this course represents the views of the authors only and is their sole responsibility;
it cannot be considered to reflect the views of the European Commission and/or the Executive Agency for Small and Medium-sized Enterprises or any other body of the European Union.
The European Commission and the Agency do not accept any responsibility for use that may be made of the information it contains.
The document discusses the eBIZ initiative, which aims to promote eBusiness adoption in the European textile industry. eBIZ defines standard processes and document formats to facilitate electronic message exchanges along supply chains. It provides a reference architecture and rules for application integration and interoperability. The standards are managed by EURATEX and technical support is provided by ENEA.
This document provides an introduction to key concepts in electronic business or eBIZ adoption. It defines terminology like electronic documents, actors or roles, processes, and transactions. It explains how standards are represented using XML schemas and business rules are defined using schematron. The document outlines the importance of conformance for interoperability and discusses the relationship between integration and interoperability. Finally, it introduces the concept of use profiles to reduce ambiguity and improve implementation of eBIZ specifications in a given industry context.
The SET project aims to save energy in textile SMEs across Europe. It has nine partners from seven European countries and creates an Energy Saving and Efficiency Tool (ESET) to assess energy usage at 150 textile companies. ESET allows companies to compare their performance to benchmarks and identifies energy savings opportunities. It provides indicators on energy consumption, costs, and specific consumption compared to production. ESET also includes a database of 220 best practices for energy efficiency across the textile sector. The goal is to increase awareness of energy efficiency opportunities and unlock potential savings for more textile SMEs.
The ESET (Energy Saving and Efficiency Tool) created by the SET project helps textile companies monitor their energy use, benchmark their efficiency against similar companies, identify departments and technologies that could be improved, and assess the profitability of potential investments in energy efficiency. The ESET consists of software and a website that allows over 150 textile SMEs to track energy usage over time, compare their performance to 10 similar firms, see which areas may be wasting energy, and evaluate options to reduce costs based on their usage data. The tool was developed over 2,600 hours at a cost of €105,000, most of which was funded by the EU, and is provided to textile companies for free.
A sectorial approach to benchmarking and Energy Efficiency best practices to...Enea CROSS-TEC (English)
The document summarizes the SET project which aims to promote energy efficiency in small and medium textile enterprises. It describes the EM2M campaign which SET is part of, and the unique Energy Saving and Efficiency Tool (ESET) developed by SET to help 150 companies identify energy savings opportunities. The approach involved applying ESET to 50 companies directly and training another 100. Results showed that companies often lacked awareness of energy usage and savings potential in auxiliary systems. While progress has been made in motivating firms, implementing efficiency measures remains a challenge.
This document discusses tools to help textile and clothing companies reduce their energy consumption and costs. It introduces the Energy Saving Scheme (ESS) which includes three Excel-based tools: the Energy Distribution Support Tool (EDST), Energy Management and Benchmark Tool (EMBT), and Self Assessment Tool (SAT). The ESS tools allow companies to analyze their energy usage, compare performance to benchmarks, identify savings opportunities, and evaluate potential investments in energy efficiency improvements. Examples are provided to illustrate how different textile companies can utilize the tools to assess their energy consumption and costs.
The document discusses different renewable energy sources and combined heat and power (CHP) technologies for intelligent energy networks. It provides overviews and characteristics of solar energy (photovoltaics, heating, cooling, concentrating solar power), biomass energy, wind energy, geothermal energy, hydraulic energy, and CHP technologies. CHP is defined as an integrated system that produces electricity and thermal energy from a single fuel source. It can improve efficiency and reduce emissions compared to separate thermal and electric production.
This is a training module developed in the European project SESEC. More information and the full training can be found here: http://www.sesec-training.eu ...
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
2. Project Type
Acronym: TexWIN
Full Title: Textile Work Intelligence by
closed-loop control of product and
process quality in the Textile Industry
Project number: CP-FP 246193-2 TexWIN
Type of funding scheme: Small or medium-scale focused research projects
Work programme topic: FP7-NMP-2009-SMALL-3
Adaptive control systems for responsive factories
Duration : 16/03/2010 – 15/03/2013 (3 years)
Costs/Funding/PM: 4.8 Mio Euro / 3.3 Mio Euro / 492PM
www.texwin.eu
michael.weiss@ditf-denkendorf.de
dieter.stellmach@ditf-denkendorf.de
22
5. Objectives
Better utilization of manufacturing capacities
• Reduced stop times
• Reduced sampling effort
Better utilization of production facilities
• Higher machine efficiency
• Better product quality
• Increased flexibility
Improvement of development and planning processes
• More and better process and product information
• Consideration of other factors, e.g. CO2emission of
production
6. TexWIN Control Structure (1)
Factory
Controller
Factory
Controller
Factory
Controller
Factory
Controller
Factory
Controller
Factory
Controller
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
...
...
MES / ERP / SCM
and other Systems
MES / ERP / SCM
and other Systems
TexWIN-
System
Factory
Controller
Factory
Controller
Factory
Controller
Factory
Controller
Factory
Controller
Factory
Controller
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
Production Unit
Controller
Production Unit
Controller
Production UnitProduction Unit
...
...
MES / ERP / SCM
and other Systems
MES / ERP / SCM
and other Systems
TexWIN-
System
7. TexWIN Control Structure (2)
Two layers of the Controle Structure:
• Factory Controller: optimisation, harmonisation and
coordination of the process chain
– information and specification about quality of the resulting product
will be used for optimisation of the production process
– coordination of a running production process
– provides interfaces to communicate with other Factory Controllers,
ERP, and MES
• Production Unit Controller: experience based adaptive
control of individual production units
– Case Based Reasoning (CBR)
– creation of a large case base and the adjustment
of the adaptation rules by the Analysis module
8. Control Cascade
Factory ControllerFactory Controller
Factory CoordinationFactory Coordination
Production Unit ControllerProduction Unit Controller
Case Based ReasoningCase Based Reasoning
AnalysisAnalysis
Case DataCase Data
Factory OptimisationFactory Optimisation
Individual Production UnitIndividual Production Unit
Case AdaptationCase Adaptation
Factory ControllerFactory Controller
Factory CoordinationFactory Coordination
Production Unit ControllerProduction Unit Controller
Case Based ReasoningCase Based Reasoning
AnalysisAnalysis
Case DataCase Data
Factory OptimisationFactory Optimisation
Individual Production UnitIndividual Production Unit
Case AdaptationCase Adaptation
10. Targeted Results
Exploitable Result Type
TexWIN-Concept for factory control Conception
TexWIN-system (factory controller, production unit
controller, communication framework)
Software &
Method
TexWIN interfaces to machinery and to enterprise
software
Software
Basic case base for textile and plastics Knowledge
Standards and ontologies for factory communication in
textiles and plastics
Knowledge
(mainly public)
KPIs for factory operation assessment in textiles and
plastics
Knowledge
Application guidelines and templates Knowledge
New /changed processes for production development
planning machinery changes factory optimisastion
Method