SlideShare a Scribd company logo
1 of 84
Process planning – Computer Aided Process Planning
(CAPP) – Logical steps in Computer Aided Process
Planning – Aggregate Production Planning and the Master
Production Schedule
Material Requirement planning – Capacity Planning-
Control Systems-Shop Floor Control-Inventory Control
Brief on Manufacturing Resource Planning-II (MRP-II) &
Enterprise Resource Planning (ERP)
ο‚–
ο‚™ The design is developed and done by design
department
ο‚™ To convert the product design into a product, a
manufacturing plan is required
ο‚™ The activity of developing a such plan is called
process planning
ο‚™ It consists of set of instructions that describes how to
manufacture the product and its parts
Process Planning
ο‚–
Role of Process Planning in
CAD/CAM Integration
ο‚–
ο‚™ Interpreting part print analysis & symbols
ο‚™ Gathering the fundamental details of product design
ο‚™ Selecting the machining process
ο‚™ Selecting proper machining with allied tooling
ο‚™ Sequencing the operations
ο‚™ Inspecting equipment in order to meet quality
ο‚™ Determining the tolerance, cutting tool, cutting
conditions
ο‚™ Time study & work study
Responsibility of Process
Planning Engineer
ο‚–
ο‚™ Drawing interpretation
ο‚™ Material Evaluation & Process Selection
ο‚™ Selection of Machine, Tooling & Work holding
devices
ο‚™ Setting process parameters
ο‚™ Selection of Quality Assurance Methods
ο‚™ Cost Estimating
ο‚™ Preparing the Process Planning Documentation
ο‚™ Communicating the Knowledge in shop floor
Process Planning
Activities
ο‚–
ο‚–
ο‚™Here the component drawings should be
analyzed in detail to identify its features,
dimensions, geometric tolerances, surface
finish specifications, the material
specification and the number of parts
required
Drawing interpretation
ο‚–
ο‚™ This step is to determine the type of processing
operation that has the capability to generate the
various type of features, given the tolerance
requirements.
ο‚™ The sequence of operations required to transform the
features , dimensions and tolerances on the part from
a rough(initial) to a finished state is determined.
Material Evaluation &
Process Selection
ο‚–
ο‚™ When type of manufacturing has been determined ,
the next step in process planning is to select
appropriate Machine, Tooling & Work holding
devices
ο‚™ Machine selection requires how the part would be
processed on each of the alternative so that the best
machine can be selected
Selection of Machine, Tooling
& Work holding devices
ο‚–
ο‚™ The next step in process planning is to calculate the
specific operation setup time and the cycle times on
each machine.
ο‚™ Determination of setup time requires knowledge of
available tooling and the sequence of steps necessary
to prepare the machine for processing the given
work piece
Setting process parameters
ο‚–
ο‚™ Here the tools and techniques to be used for Quality
Assurance inspection are specified clearly.
ο‚™ Inspection criteria has to be specified by the process
planner for the critical processing factors (such a s
dimensional and geometric tolerances and surface
finish specifications)
Selection of Quality
Assurance Methods
ο‚–
ο‚™ The probable cost of the product before the start of
its manufacture
ο‚™ With the available cost and time data, the material
cost, labour cost and overheads are estimated.
Cost Estimating
ο‚–
ο‚™ The next step in process planning is to document
clearly all the information in detail
ο‚™ It is generally documented as a job routing or
operation sheet.
ο‚™ Operation sheet is also called route sheet or
instruction sheet or traveller or planner
Process Planning
Documentation
ο‚–
ο‚™ The Major and Final step in process planning is to
communicate the manufacturing knowledge to the
shop floor
ο‚™ Communication is essential to ensure that the part
will be processed accordingly to the most
economically possible way through process
planning.
Communicate Process
Knowledge
ο‚–
ο‚™ In order to overcome the drawbacks of manual
process planning, the computer aided process
planning is used.
ο‚™ With the use of computers in the process planning,
one can reduce the routine clerical work of
manufacturing engineers.
ο‚™ Also it provides the opportunity to generate rational,
consistent and optimal plans.
COMPUTER AIDED PROCESS
PLANNING (CAPP)
ο‚–
ο‚™ Process rationalization and standardization.
ο‚™ Productivity improvement
ο‚™ Product cost reduction
ο‚™ Elimination of human error
ο‚™ Reduction in time
ο‚™ Reduced clerical effort and paper work
ο‚™ Improved legibility
ο‚™ Faster response to engineering changes
ο‚™ Incorporation of other application programs
Befits Of CAPP
ο‚–
ο‚™ The two basic approaches of CAPP system are
ο‚– Retrieval CAPP system
ο‚– Generative CAPP system
Approaches of CAPP
ο‚–
ο‚™ The basic idea behind the retrieval CAPP is that
similar parts will have similar process plans.
ο‚™ In this system, a process plan for a new part is
created by recalling, identifying and retrieving an
existing plan for a similar part, and making the
necessary modifications for the new part.
Retrieval CAPP system
ο‚–
ο‚™ In the generative approach, an automatic
computerised system is used to synthesize or
generate each individual process plan automatically
and without reference to any prior plan.
ο‚™ A generative CAPP system generates the process
plan based on decision logics and pre-coded
algorithms.
Generative CAPP system
ο‚–
ο‚™ Classification and coding capabilities
ο‚™ Graphics capabilities
ο‚™ Work instruction creation and maintenance
ο‚™ Process planning capabilities
ο‚™ Time standard capabilities
ο‚™ Machining parameters
ο‚™ Total system considerations
ο‚™ Vendor qualifications
Criteria for selecting a CAPP
system
ο‚–
ο‚™ Production planning and control (PPC) is aimed at
achieving the efficient utilisation of resources (material,
men, facility, etc) in the manufacturing organisation
through planning, coordinating and control of
production activities that transform the raw material into
finished products in a most optimal manner.
ο‚™ Production planning and control = Production planning
+ production control
Production planning
and control systems
ο‚–
ο‚™ Production planning is a pre production activity. It is
the pre-determination of manufacturing
requirements such as manpower, materials,
machines and manufacturing process.
ο‚™ It is concerned with
ο‚– Deciding which products to make, how many of each,
and when they should be completed
ο‚– Scheduling the production and delivery of the parts
and products
ο‚– Planning the manpower and equipment resources
needed to accomplish the production plan
Production planning
ο‚–
ο‚™ Aggregate production planning
ο‚™ Master production planning
ο‚™ Material requirements planning (MRP)
ο‚™ Capacity planning
Activities of production
planning
ο‚–
ο‚™ Production control is concerned with determining
whether the necessary resources to implement the
production plan have been provided or not.
ο‚™ Production control tries to take corrective action to
match the planned and actual production.
Production control
ο‚–
ο‚™ Shop floor control
ο‚™ Inventory control
ο‚™ Manufacturing resource planning (MRP II)
ο‚™ Just in time production systems
Activities of production
control
ο‚–
Relationship between production
planning and control
ο‚–
ο‚–
ο‚™ Aggregate planning is the process of planning the
quantity and timing of output over the intermediate
time horizon (3 months to 1 year).
ο‚™ The aggregate production plan is based upon the
demand forecasts provided by the marketing
department.
Aggregate Production
Planning
ο‚–
ο‚™ The main purpose of the aggregate plan is to specify
the optimal combination of production rate,
workforce level and inventory on hand.
ο‚™ To maximize profits/minimize costs
ο‚™ To maximize customer service
ο‚™ To minimize inventory investment
ο‚™ To minimize changes in workforce levels
ο‚™ To maximize utilization of plant and equipment.
Objectives of Aggregate
planning
ο‚–
Flow chart of aggregate plan
and master schedule
ο‚–
The operations planning and
scheduling system
ο‚–
Inputs to and outputs from
aggregate production planning
ο‚–
ο‚™ The aggregate plan is an intermediate planning
stage, and in the next stage the aggregate plan is to
be disaggregated (broken down into parts) to include
information about the different models of the
product to be produced.
ο‚™ This disaggregated plan is known as master
production schedule (MPS).
ο‚™ MPS is the result of the disaggregation of an
aggregate plan.
Master Production
Schedule
ο‚–
ο‚–
ο‚™ To schedule end items to be completed promptly
and when promised to customers.
ο‚™ To avoid overloading or under loading the
production facility so that production capacity is
efficiently utilized and low production costs result.
Objectives of MPS
ο‚–
ο‚™ To translate aggregate plans into specific end items.
ο‚™ To evaluate alternative schedules.
ο‚™ To generate material requirement.
ο‚™ To generate capacity requirement
ο‚™ To facilitate information processing
ο‚™ To maintain valid priorities
ο‚™ To effectively utilize capacity
Functions of MPS
ο‚–
ο‚–
ο‚™ Material requirement planning is a computational
technique that converts the master schedule for final
products into a detailed schedule for the raw
materials and parts used in the final products.
Material Requirement
Planning (MRP)
ο‚–
ο‚™ MRP drives demand for components, subassemblies,
materials, etc., from demand and production
schedules of parent items.
ο‚™ MRP offsets replenishment orders (purchase orders
or production schedules) relative to the date when
replenishment is needed.
Basic characteristics of
MRP
ο‚–
ο‚™ Master production schedule
ο‚™ Bill of materials file
ο‚™ Inventory record file
Inputs to MRP
ο‚–
ο‚–
ο‚™ Reduced inventory levels
ο‚™ Better production scheduling
ο‚™ Reduced production lead time
ο‚™ Reduced setup cost
ο‚™ Reduced product changeover cost
ο‚™ Better machine utilisation
ο‚™ Improved product quality
Benefits of MRP
ο‚–
ο‚™ Capacity planning is concerned with defining the
long-term and short term capacity needs of a firm
and determining how these needs will be met.
Capacity planning
ο‚–
ο‚™ Assessing existing capacity
ο‚™ Forecasting future capacity needs
ο‚™ Identifying alternative ways to modify capacity
ο‚™ Evaluating financial, economical and technological
capacity alternatives
ο‚™ Selecting a capacity alternative most suited to
achieve the strategic mission of the firm.
Activities involved in
capacity planning
ο‚–
ο‚™ Rough cut capacity planning
ο‚™ Capacity requirements planning
Stages of capacity
planning
ο‚–
ο‚™ RCCP is done in conjunction with the tentative
master production schedule to test its feasibility in
terms of capacity before the master production
schedule is finalized.
Rough Cut Capacity
Planning (RCCP)
ο‚–
ο‚–
ο‚™ Capacity requirement planning is a technique for
determining what labour/personnel and equipment
capacities are needed to meet the production
objectives symbolised in the master production
schedule (MPS) and the material requirements
planning (MRP).
Capacity Requirement
Planning
ο‚–
ο‚–
ο‚™ A shop floor control system is defined as a system
for utilizing data from the shop floor as well as data
processing files to maintain and communicate status
information on shop orders and work centre.
ο‚™ SFC is concerned with
ο‚™ The release of production orders to the factory
ο‚™ Monitoring and controlling the progress of orders
through the various work centres.
ο‚™ Acquiring information on the status of the orders.
Shop floor control
ο‚–
ο‚–
ο‚™ Assigning priority of each shop order (Scheduling)
ο‚™ Maintaining work in process quantity information
(Dispatching)
ο‚™ Conveying shop order status information to the office
(Follow up)
ο‚™ Providing actual output data for capacity control
purposes
ο‚™ Providing quantity by location by shop order for work in
process inventory and accounting purposes
ο‚™ Providing measurement of efficiency, utilisation and
productivity of manpower and machines.
Function of shop floor
ο‚–
ο‚™ Order release
ο‚™ Order scheduling
ο‚™ Order progress
Phases of SFC
ο‚–
ο‚–
ο‚™ This order release phase provides the documentation
needed to process a production order through the
factory.
ο‚™ Route sheet
ο‚™ Material requisitions
ο‚™ Job cards
ο‚™ Move tickets
ο‚™ Part lists
Order release
ο‚–
ο‚™ In this phase, the order scheduling module assigns
the production orders to the various work centres in
that plant.
ο‚™ In other words, order scheduling executes the
dispatching function in production planning and
control.
ο‚™ Two elements of order scheduling
ο‚– Machine loading
ο‚– Job sequencing
Order scheduling
ο‚–
ο‚™ The order progress phase monitors the status of the
various orders in the plant, work in progress and
other characteristics that indicate the progress and
performance of production.
Order progress
ο‚–
ο‚™ The factory data collection (FDC) system consists of
various paper documents, terminals and automated
devices through out the plant for collecting data on
shop floor operations.
Factory data collection
ο‚–
ο‚™ Number of pieces completed at a certain work
centres,
ο‚™ Direct labour time spent on each order,
ο‚™ List and number of parts that are scrapped,
ο‚™ List and number of parts requiring rework,
ο‚™ Equipment downtime, and
ο‚™ Time clocks used by employees to punch in and out
of work.
Types of data collected
by FDC
ο‚–
ο‚™ To supply status and performance data to the shop
floor control system.
ο‚™ To provide up-to-date information to the production
supervisors and production control personnel.
ο‚™ To enable the management to monitor
implementation of master schedule.
Objectives of FDC
system
ο‚–
ο‚™ Online data collection systems
ο‚™ Offline data collection systems
Types of data collection
systems
ο‚–
ο‚™ In an on-line system, the data are entered directly
into the plant computer system and are immediately
available to the order progress module.
ο‚™ Advantage: The data file representing the status of
the shop is always kept at the current state.
Online data collection
systems
ο‚–
ο‚™ In an off-line data collection system, the data are
collected temporarily in a storage device or in a
stand alone computer to be entered and processed by
plant computer in a batch mode.
ο‚™ Advantage: The offline data collection system is
easier to install and implement when compared to
online data system.
Offline data collection
systems
ο‚–
ο‚™ Inventory control may be defined as the scientific
method of determining what to order, when to order
and how much to order and how much to stock so
that costs associated with buying and storing are
optimal without interrupting production and sales.
Inventory management
ο‚–
ο‚™ To ensure continuous supply of materials so that
production should not suffer at any time.
ο‚™ To maintain the overall investment in inventory at
the lowest level, consistent with operating
requirements.
ο‚™ To avoid both overstocking and under stocking of
inventory.
ο‚™ To keep inactive, waste, surplus, scrap and obsolete
items at the minimum level.
Objectives of inventory
control
ο‚–
ο‚™ Ordering costs
ο‚™ Carrying costs
ο‚™ Shortage costs
ο‚™ Purchase costs
Costs associated with
inventory
ο‚–
ο‚™ Ordering costs are the costs associated with the
placement of an order for the acquisition of
inventories.
Ordering cost
ο‚–
ο‚™ Inventory carrying costs are the costs associated with
holding a given level of inventory on hand.
Holding (or inventory
carrying costs)
ο‚–
ο‚™ When the stock of an item is depleted and there is a
demand for it, then the shortage cost will occur. In
simple terms, shortage cost is the cost associated
with stock-out.
Shortage (or stock-out)
costs
ο‚–
ο‚™ Purchase costs are the costs incurred to purchase /
produce the item.
Purchase (or
production)cost
ο‚–
ο‚™ The amount of material procured or quantity
produced during one production cycle is known as
order quantity or lot size.
ο‚™ EOQ is that size of order which minimises the total
costs of carrying inventory and ordering.
Economic order
quantity
ο‚–
ο‚–
ο‚–
ο‚–
ο‚–
ο‚™ Fixed order quantity models (Q-models)
ο‚™ Fixed time period models (P-models)
Types of inventory
systems
ο‚–
ο‚–
ο‚–
ο‚™ MRP – II is defined as a computer based system for
planning, scheduling and controlling the materials,
resources and supporting activities needed to meet
the master production schedule (MPS)
Manufacturing resource
planning (MRP - II)
ο‚–
ο‚™ Management Planning
ο‚– Business strategy, aggregate production planning, master
production scheduling and budget planning
ο‚™ Customer services
ο‚– Sales forecasting, order entry, sales analysis and finished
goods inventory
ο‚™ Operations planning
ο‚– Purchase order and work order release
ο‚™ Operations execution
ο‚– Purchasing, product scheduling and control, shop floor control
and work in process inventory control
ο‚™ Financial functions
ο‚– Cost accounting, accounts receivable, accounts payable
Functions of MRP-II
ο‚–
ο‚–
ο‚™ ERP is a new system concept in which every
enterprise function is integrated in a seamless flow of
information.
ο‚™ This system integrates all facts of business including
sales and order entry, engineering, manufacturing,
finance and accounting, distribution, order planning
and execution and the supply chain flows.
Enterprise resource planning
(ERP)
ο‚–
ο‚™ ERP is a software architecture that integrates all the
functions of the enterprise.
ο‚™ ERP system requires a seamless flow of information
ο‚™ ERP is an extremely powerful, user friendly technology
ο‚™ ERP is supported by client server architecture for
communication at different levels of system.
Features of ERP system
ο‚–
1. Identify the needs of ERP implementation package
2. Evaluate the existing business situation
3. Make decision regarding desired situation through
benchmarking
4. Reengineer business process to achieve the desired
results
5. Evaluate various available ERP packages
6. Choose the suitable best ERP package
7. Install necessary hardware and networks
8. Finalise the ERP consultant
9. Implement ERP in phased manner
Implementation of ERP

More Related Content

What's hot

Computer Aided Process Planning (CAPP)
Computer Aided Process Planning (CAPP)Computer Aided Process Planning (CAPP)
Computer Aided Process Planning (CAPP)Pratik Gandhi
Β 
Process planning approaches
Process planning approaches Process planning approaches
Process planning approaches chethan kumar
Β 
Process Planning & Cost Estimation
Process Planning & Cost Estimation Process Planning & Cost Estimation
Process Planning & Cost Estimation Prabhu Bose
Β 
Cellular manufacturing and group technology
Cellular manufacturing and group technologyCellular manufacturing and group technology
Cellular manufacturing and group technologyHitendrasinh Zala
Β 
computer configuration& hardware for cad applications
computer configuration& hardware for cad applications computer configuration& hardware for cad applications
computer configuration& hardware for cad applications Jagilam Kumar
Β 
Industrial Engineering (Method Study and Work study)
Industrial Engineering (Method Study and Work study)Industrial Engineering (Method Study and Work study)
Industrial Engineering (Method Study and Work study)Vishal Shinde
Β 
Group technology
Group technologyGroup technology
Group technologyjntuhcej
Β 
Group Technology, coding and cell design
Group Technology, coding and cell designGroup Technology, coding and cell design
Group Technology, coding and cell designNauman khan
Β 
Introduction of computer aided manufacturing.pptx
Introduction of computer aided manufacturing.pptxIntroduction of computer aided manufacturing.pptx
Introduction of computer aided manufacturing.pptxChirag Patel
Β 
Computer Integrated Manufacturing
Computer Integrated Manufacturing  Computer Integrated Manufacturing
Computer Integrated Manufacturing suraj_21
Β 
COMPUTER AIDED PROCESS PLANNING
COMPUTER AIDED PROCESS PLANNINGCOMPUTER AIDED PROCESS PLANNING
COMPUTER AIDED PROCESS PLANNINGjntuhcej
Β 
Production planning and control
Production planning and controlProduction planning and control
Production planning and controlsrishti gupta
Β 
manufacturing resource planning
manufacturing resource planningmanufacturing resource planning
manufacturing resource planningDinesh Nikam
Β 
Part programming for nc machines
Part programming for nc machinesPart programming for nc machines
Part programming for nc machinesDorothy Kare
Β 
Reverse engineering
Reverse engineeringReverse engineering
Reverse engineeringSyed Zillay Ali
Β 
Computer Aided Process Planning (CAPP)
Computer Aided Process Planning (CAPP)Computer Aided Process Planning (CAPP)
Computer Aided Process Planning (CAPP)Bhushan Tawade
Β 

What's hot (20)

Computer Aided Process Planning (CAPP)
Computer Aided Process Planning (CAPP)Computer Aided Process Planning (CAPP)
Computer Aided Process Planning (CAPP)
Β 
Introduction to manufacturing process
Introduction to manufacturing processIntroduction to manufacturing process
Introduction to manufacturing process
Β 
Process planning approaches
Process planning approaches Process planning approaches
Process planning approaches
Β 
Process Planning & Cost Estimation
Process Planning & Cost Estimation Process Planning & Cost Estimation
Process Planning & Cost Estimation
Β 
Cellular manufacturing and group technology
Cellular manufacturing and group technologyCellular manufacturing and group technology
Cellular manufacturing and group technology
Β 
computer configuration& hardware for cad applications
computer configuration& hardware for cad applications computer configuration& hardware for cad applications
computer configuration& hardware for cad applications
Β 
Industrial Engineering (Method Study and Work study)
Industrial Engineering (Method Study and Work study)Industrial Engineering (Method Study and Work study)
Industrial Engineering (Method Study and Work study)
Β 
Work measurement
Work measurementWork measurement
Work measurement
Β 
Group technology
Group technologyGroup technology
Group technology
Β 
Group Technology, coding and cell design
Group Technology, coding and cell designGroup Technology, coding and cell design
Group Technology, coding and cell design
Β 
Work study
Work studyWork study
Work study
Β 
Introduction of computer aided manufacturing.pptx
Introduction of computer aided manufacturing.pptxIntroduction of computer aided manufacturing.pptx
Introduction of computer aided manufacturing.pptx
Β 
Method study
Method studyMethod study
Method study
Β 
Computer Integrated Manufacturing
Computer Integrated Manufacturing  Computer Integrated Manufacturing
Computer Integrated Manufacturing
Β 
COMPUTER AIDED PROCESS PLANNING
COMPUTER AIDED PROCESS PLANNINGCOMPUTER AIDED PROCESS PLANNING
COMPUTER AIDED PROCESS PLANNING
Β 
Production planning and control
Production planning and controlProduction planning and control
Production planning and control
Β 
manufacturing resource planning
manufacturing resource planningmanufacturing resource planning
manufacturing resource planning
Β 
Part programming for nc machines
Part programming for nc machinesPart programming for nc machines
Part programming for nc machines
Β 
Reverse engineering
Reverse engineeringReverse engineering
Reverse engineering
Β 
Computer Aided Process Planning (CAPP)
Computer Aided Process Planning (CAPP)Computer Aided Process Planning (CAPP)
Computer Aided Process Planning (CAPP)
Β 

Similar to Unit 2

Unit 2 cim
Unit 2 cimUnit 2 cim
Unit 2 cimrknatarajan
Β 
Process planning approaches
Process planning approaches Process planning approaches
Process planning approaches chethan kumar
Β 
Pom unit 3
Pom unit 3Pom unit 3
Pom unit 3riyavidya
Β 
Ppc New
Ppc NewPpc New
Ppc Newvishakeb
Β 
Production Planning and Control
Production Planning and ControlProduction Planning and Control
Production Planning and ControlAijaz Aryan
Β 
Computer aided process planning
Computer aided process planningComputer aided process planning
Computer aided process planningsushma chinta
Β 
Unit structure
Unit structureUnit structure
Unit structurejhakku
Β 
Chapter 7 automation techniques
Chapter 7  automation techniquesChapter 7  automation techniques
Chapter 7 automation techniquesMohamad Sahiedan
Β 
Basics of SAP for noobs (dummies)
Basics of SAP for noobs (dummies)Basics of SAP for noobs (dummies)
Basics of SAP for noobs (dummies)vins049
Β 
INTELLIGENT DECISION MAKING FOR REACTIVE SCHEDULING IN FMS
INTELLIGENT DECISION MAKING FOR REACTIVE SCHEDULING IN FMSINTELLIGENT DECISION MAKING FOR REACTIVE SCHEDULING IN FMS
INTELLIGENT DECISION MAKING FOR REACTIVE SCHEDULING IN FMSJyotiraman De
Β 
Chapter4EN.PDF.pdf
Chapter4EN.PDF.pdfChapter4EN.PDF.pdf
Chapter4EN.PDF.pdfPraveen Kumar
Β 
Automobile parts design diploma mechanical engineering
Automobile parts design diploma mechanical engineeringAutomobile parts design diploma mechanical engineering
Automobile parts design diploma mechanical engineeringlovely467637
Β 
Unit ii Process Planning
Unit ii Process PlanningUnit ii Process Planning
Unit ii Process PlanningAsha A
Β 
Master Scheduling and Material Requirement
Master Scheduling and Material RequirementMaster Scheduling and Material Requirement
Master Scheduling and Material RequirementMd Nur Islam Rohman
Β 
REDUCTION OF WASTAGES THROUGH PPC TECHNIQUES
REDUCTION OF WASTAGES THROUGH    PPC TECHNIQUESREDUCTION OF WASTAGES THROUGH    PPC TECHNIQUES
REDUCTION OF WASTAGES THROUGH PPC TECHNIQUESAsim Aslam
Β 

Similar to Unit 2 (20)

Unit 2 cim
Unit 2 cimUnit 2 cim
Unit 2 cim
Β 
M-2_CAPP.pptx
M-2_CAPP.pptxM-2_CAPP.pptx
M-2_CAPP.pptx
Β 
Process planning approaches
Process planning approaches Process planning approaches
Process planning approaches
Β 
Pom unit 3
Pom unit 3Pom unit 3
Pom unit 3
Β 
Ppc New
Ppc NewPpc New
Ppc New
Β 
Production Planning and Control
Production Planning and ControlProduction Planning and Control
Production Planning and Control
Β 
Unit 1 manufacturing system design
Unit   1 manufacturing system designUnit   1 manufacturing system design
Unit 1 manufacturing system design
Β 
Computer aided process planning
Computer aided process planningComputer aided process planning
Computer aided process planning
Β 
Unit structure
Unit structureUnit structure
Unit structure
Β 
PPC.pdf
PPC.pdfPPC.pdf
PPC.pdf
Β 
Chapter 7 automation techniques
Chapter 7  automation techniquesChapter 7  automation techniques
Chapter 7 automation techniques
Β 
Basics of SAP for noobs (dummies)
Basics of SAP for noobs (dummies)Basics of SAP for noobs (dummies)
Basics of SAP for noobs (dummies)
Β 
INTELLIGENT DECISION MAKING FOR REACTIVE SCHEDULING IN FMS
INTELLIGENT DECISION MAKING FOR REACTIVE SCHEDULING IN FMSINTELLIGENT DECISION MAKING FOR REACTIVE SCHEDULING IN FMS
INTELLIGENT DECISION MAKING FOR REACTIVE SCHEDULING IN FMS
Β 
Operations Planning
Operations PlanningOperations Planning
Operations Planning
Β 
Chapter4EN.PDF.pdf
Chapter4EN.PDF.pdfChapter4EN.PDF.pdf
Chapter4EN.PDF.pdf
Β 
Automobile parts design diploma mechanical engineering
Automobile parts design diploma mechanical engineeringAutomobile parts design diploma mechanical engineering
Automobile parts design diploma mechanical engineering
Β 
Unit ii Process Planning
Unit ii Process PlanningUnit ii Process Planning
Unit ii Process Planning
Β 
Master Scheduling and Material Requirement
Master Scheduling and Material RequirementMaster Scheduling and Material Requirement
Master Scheduling and Material Requirement
Β 
Integration of process planning and scheduling comparison of models approach
Integration of process planning and scheduling comparison of models approachIntegration of process planning and scheduling comparison of models approach
Integration of process planning and scheduling comparison of models approach
Β 
REDUCTION OF WASTAGES THROUGH PPC TECHNIQUES
REDUCTION OF WASTAGES THROUGH    PPC TECHNIQUESREDUCTION OF WASTAGES THROUGH    PPC TECHNIQUES
REDUCTION OF WASTAGES THROUGH PPC TECHNIQUES
Β 

More from dinesh babu

Metrology Measurements and All units PPT
Metrology Measurements and  All units PPTMetrology Measurements and  All units PPT
Metrology Measurements and All units PPTdinesh babu
Β 
Unit 5-CELLULAR MANUFACTURING AND FLEXIBLE MANUFACTURING SYSTEM (FMS) .pptx
Unit 5-CELLULAR MANUFACTURING AND FLEXIBLE MANUFACTURING SYSTEM (FMS) .pptxUnit 5-CELLULAR MANUFACTURING AND FLEXIBLE MANUFACTURING SYSTEM (FMS) .pptx
Unit 5-CELLULAR MANUFACTURING AND FLEXIBLE MANUFACTURING SYSTEM (FMS) .pptxdinesh babu
Β 
Unit 4-FUNDAMENTAL OF CNC AND PART PROGRAMING.pptx
Unit 4-FUNDAMENTAL OF CNC AND PART PROGRAMING.pptxUnit 4-FUNDAMENTAL OF CNC AND PART PROGRAMING.pptx
Unit 4-FUNDAMENTAL OF CNC AND PART PROGRAMING.pptxdinesh babu
Β 
Unit 3-ASSEMBLY OF PARTS AND CAD STANDARDS.pptx
Unit 3-ASSEMBLY OF PARTS AND CAD STANDARDS.pptxUnit 3-ASSEMBLY OF PARTS AND CAD STANDARDS.pptx
Unit 3-ASSEMBLY OF PARTS AND CAD STANDARDS.pptxdinesh babu
Β 
UNIT 2-Geometric Modeling.pptx
UNIT 2-Geometric Modeling.pptxUNIT 2-Geometric Modeling.pptx
UNIT 2-Geometric Modeling.pptxdinesh babu
Β 
UNIT 1-INTRODUCTION.pptx
UNIT 1-INTRODUCTION.pptxUNIT 1-INTRODUCTION.pptx
UNIT 1-INTRODUCTION.pptxdinesh babu
Β 
UNIT-5FIRE SAFETY AND INSTALLATION.pptx
UNIT-5FIRE SAFETY AND INSTALLATION.pptxUNIT-5FIRE SAFETY AND INSTALLATION.pptx
UNIT-5FIRE SAFETY AND INSTALLATION.pptxdinesh babu
Β 
UNIT-4-REFIGERATION PRINCIPLES.pptx
UNIT-4-REFIGERATION PRINCIPLES.pptxUNIT-4-REFIGERATION PRINCIPLES.pptx
UNIT-4-REFIGERATION PRINCIPLES.pptxdinesh babu
Β 
UNIT-3-Principles of illumination.pptx
UNIT-3-Principles of illumination.pptxUNIT-3-Principles of illumination.pptx
UNIT-3-Principles of illumination.pptxdinesh babu
Β 
UNIT-2-Electrical Systems.pptx
UNIT-2-Electrical Systems.pptxUNIT-2-Electrical Systems.pptx
UNIT-2-Electrical Systems.pptxdinesh babu
Β 
UNIT-1-MACHINERIES.pptx
UNIT-1-MACHINERIES.pptxUNIT-1-MACHINERIES.pptx
UNIT-1-MACHINERIES.pptxdinesh babu
Β 
UNIT- 2&3 based on gear life.pdf
UNIT- 2&3 based on gear life.pdfUNIT- 2&3 based on gear life.pdf
UNIT- 2&3 based on gear life.pdfdinesh babu
Β 
ELEMENTS OF TECHNOLOGY.pdf
ELEMENTS OF TECHNOLOGY.pdfELEMENTS OF TECHNOLOGY.pdf
ELEMENTS OF TECHNOLOGY.pdfdinesh babu
Β 
belt_drive.ppt
belt_drive.pptbelt_drive.ppt
belt_drive.pptdinesh babu
Β 
Unit ii engine auxiliary systems
Unit ii engine auxiliary systemsUnit ii engine auxiliary systems
Unit ii engine auxiliary systemsdinesh babu
Β 
Mm -unit iii
Mm -unit iii Mm -unit iii
Mm -unit iii dinesh babu
Β 

More from dinesh babu (20)

Metrology Measurements and All units PPT
Metrology Measurements and  All units PPTMetrology Measurements and  All units PPT
Metrology Measurements and All units PPT
Β 
Unit 5-CELLULAR MANUFACTURING AND FLEXIBLE MANUFACTURING SYSTEM (FMS) .pptx
Unit 5-CELLULAR MANUFACTURING AND FLEXIBLE MANUFACTURING SYSTEM (FMS) .pptxUnit 5-CELLULAR MANUFACTURING AND FLEXIBLE MANUFACTURING SYSTEM (FMS) .pptx
Unit 5-CELLULAR MANUFACTURING AND FLEXIBLE MANUFACTURING SYSTEM (FMS) .pptx
Β 
Unit 4-FUNDAMENTAL OF CNC AND PART PROGRAMING.pptx
Unit 4-FUNDAMENTAL OF CNC AND PART PROGRAMING.pptxUnit 4-FUNDAMENTAL OF CNC AND PART PROGRAMING.pptx
Unit 4-FUNDAMENTAL OF CNC AND PART PROGRAMING.pptx
Β 
Unit 3-ASSEMBLY OF PARTS AND CAD STANDARDS.pptx
Unit 3-ASSEMBLY OF PARTS AND CAD STANDARDS.pptxUnit 3-ASSEMBLY OF PARTS AND CAD STANDARDS.pptx
Unit 3-ASSEMBLY OF PARTS AND CAD STANDARDS.pptx
Β 
UNIT 2-Geometric Modeling.pptx
UNIT 2-Geometric Modeling.pptxUNIT 2-Geometric Modeling.pptx
UNIT 2-Geometric Modeling.pptx
Β 
UNIT 1-INTRODUCTION.pptx
UNIT 1-INTRODUCTION.pptxUNIT 1-INTRODUCTION.pptx
UNIT 1-INTRODUCTION.pptx
Β 
UNIT-5FIRE SAFETY AND INSTALLATION.pptx
UNIT-5FIRE SAFETY AND INSTALLATION.pptxUNIT-5FIRE SAFETY AND INSTALLATION.pptx
UNIT-5FIRE SAFETY AND INSTALLATION.pptx
Β 
UNIT-4-REFIGERATION PRINCIPLES.pptx
UNIT-4-REFIGERATION PRINCIPLES.pptxUNIT-4-REFIGERATION PRINCIPLES.pptx
UNIT-4-REFIGERATION PRINCIPLES.pptx
Β 
UNIT-3-Principles of illumination.pptx
UNIT-3-Principles of illumination.pptxUNIT-3-Principles of illumination.pptx
UNIT-3-Principles of illumination.pptx
Β 
UNIT-2-Electrical Systems.pptx
UNIT-2-Electrical Systems.pptxUNIT-2-Electrical Systems.pptx
UNIT-2-Electrical Systems.pptx
Β 
UNIT-1-MACHINERIES.pptx
UNIT-1-MACHINERIES.pptxUNIT-1-MACHINERIES.pptx
UNIT-1-MACHINERIES.pptx
Β 
UNIT- 2&3 based on gear life.pdf
UNIT- 2&3 based on gear life.pdfUNIT- 2&3 based on gear life.pdf
UNIT- 2&3 based on gear life.pdf
Β 
ELEMENTS OF TECHNOLOGY.pdf
ELEMENTS OF TECHNOLOGY.pdfELEMENTS OF TECHNOLOGY.pdf
ELEMENTS OF TECHNOLOGY.pdf
Β 
belt_drive.ppt
belt_drive.pptbelt_drive.ppt
belt_drive.ppt
Β 
Unit iii
Unit iiiUnit iii
Unit iii
Β 
Unit ii engine auxiliary systems
Unit ii engine auxiliary systemsUnit ii engine auxiliary systems
Unit ii engine auxiliary systems
Β 
Unit i
Unit iUnit i
Unit i
Β 
Unitv
Unitv   Unitv
Unitv
Β 
Unit iv
Unit ivUnit iv
Unit iv
Β 
Mm -unit iii
Mm -unit iii Mm -unit iii
Mm -unit iii
Β 

Recently uploaded

Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
Β 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)Dr SOUNDIRARAJ N
Β 
EduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AIEduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AIkoyaldeepu123
Β 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineeringmalavadedarshan25
Β 
DATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage exampleDATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage examplePragyanshuParadkar1
Β 
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEINFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEroselinkalist12
Β 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
Β 
Work Experience-Dalton Park.pptxfvvvvvvv
Work Experience-Dalton Park.pptxfvvvvvvvWork Experience-Dalton Park.pptxfvvvvvvv
Work Experience-Dalton Park.pptxfvvvvvvvLewisJB
Β 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
Β 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxKartikeyaDwivedi3
Β 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSCAESB
Β 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxDeepakSakkari2
Β 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfROCENODodongVILLACER
Β 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
Β 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
Β 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
Β 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHC Sai Kiran
Β 

Recently uploaded (20)

9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
Β 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
Β 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
Β 
EduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AIEduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AI
Β 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineering
Β 
DATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage exampleDATA ANALYTICS PPT definition usage example
DATA ANALYTICS PPT definition usage example
Β 
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEINFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
Β 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
Β 
Work Experience-Dalton Park.pptxfvvvvvvv
Work Experience-Dalton Park.pptxfvvvvvvvWork Experience-Dalton Park.pptxfvvvvvvv
Work Experience-Dalton Park.pptxfvvvvvvv
Β 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
Β 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Β 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
Β 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
Β 
young call girls in Green ParkπŸ” 9953056974 πŸ” escort Service
young call girls in Green ParkπŸ” 9953056974 πŸ” escort Serviceyoung call girls in Green ParkπŸ” 9953056974 πŸ” escort Service
young call girls in Green ParkπŸ” 9953056974 πŸ” escort Service
Β 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
Β 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdf
Β 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Β 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
Β 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
Β 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECH
Β 

Unit 2

  • 1. Process planning – Computer Aided Process Planning (CAPP) – Logical steps in Computer Aided Process Planning – Aggregate Production Planning and the Master Production Schedule Material Requirement planning – Capacity Planning- Control Systems-Shop Floor Control-Inventory Control Brief on Manufacturing Resource Planning-II (MRP-II) & Enterprise Resource Planning (ERP)
  • 2. ο‚– ο‚™ The design is developed and done by design department ο‚™ To convert the product design into a product, a manufacturing plan is required ο‚™ The activity of developing a such plan is called process planning ο‚™ It consists of set of instructions that describes how to manufacture the product and its parts Process Planning
  • 3. ο‚– Role of Process Planning in CAD/CAM Integration
  • 4. ο‚– ο‚™ Interpreting part print analysis & symbols ο‚™ Gathering the fundamental details of product design ο‚™ Selecting the machining process ο‚™ Selecting proper machining with allied tooling ο‚™ Sequencing the operations ο‚™ Inspecting equipment in order to meet quality ο‚™ Determining the tolerance, cutting tool, cutting conditions ο‚™ Time study & work study Responsibility of Process Planning Engineer
  • 5. ο‚– ο‚™ Drawing interpretation ο‚™ Material Evaluation & Process Selection ο‚™ Selection of Machine, Tooling & Work holding devices ο‚™ Setting process parameters ο‚™ Selection of Quality Assurance Methods ο‚™ Cost Estimating ο‚™ Preparing the Process Planning Documentation ο‚™ Communicating the Knowledge in shop floor Process Planning Activities
  • 7. ο‚– ο‚™Here the component drawings should be analyzed in detail to identify its features, dimensions, geometric tolerances, surface finish specifications, the material specification and the number of parts required Drawing interpretation
  • 8. ο‚– ο‚™ This step is to determine the type of processing operation that has the capability to generate the various type of features, given the tolerance requirements. ο‚™ The sequence of operations required to transform the features , dimensions and tolerances on the part from a rough(initial) to a finished state is determined. Material Evaluation & Process Selection
  • 9. ο‚– ο‚™ When type of manufacturing has been determined , the next step in process planning is to select appropriate Machine, Tooling & Work holding devices ο‚™ Machine selection requires how the part would be processed on each of the alternative so that the best machine can be selected Selection of Machine, Tooling & Work holding devices
  • 10. ο‚– ο‚™ The next step in process planning is to calculate the specific operation setup time and the cycle times on each machine. ο‚™ Determination of setup time requires knowledge of available tooling and the sequence of steps necessary to prepare the machine for processing the given work piece Setting process parameters
  • 11. ο‚– ο‚™ Here the tools and techniques to be used for Quality Assurance inspection are specified clearly. ο‚™ Inspection criteria has to be specified by the process planner for the critical processing factors (such a s dimensional and geometric tolerances and surface finish specifications) Selection of Quality Assurance Methods
  • 12. ο‚– ο‚™ The probable cost of the product before the start of its manufacture ο‚™ With the available cost and time data, the material cost, labour cost and overheads are estimated. Cost Estimating
  • 13. ο‚– ο‚™ The next step in process planning is to document clearly all the information in detail ο‚™ It is generally documented as a job routing or operation sheet. ο‚™ Operation sheet is also called route sheet or instruction sheet or traveller or planner Process Planning Documentation
  • 14. ο‚– ο‚™ The Major and Final step in process planning is to communicate the manufacturing knowledge to the shop floor ο‚™ Communication is essential to ensure that the part will be processed accordingly to the most economically possible way through process planning. Communicate Process Knowledge
  • 15. ο‚– ο‚™ In order to overcome the drawbacks of manual process planning, the computer aided process planning is used. ο‚™ With the use of computers in the process planning, one can reduce the routine clerical work of manufacturing engineers. ο‚™ Also it provides the opportunity to generate rational, consistent and optimal plans. COMPUTER AIDED PROCESS PLANNING (CAPP)
  • 16. ο‚– ο‚™ Process rationalization and standardization. ο‚™ Productivity improvement ο‚™ Product cost reduction ο‚™ Elimination of human error ο‚™ Reduction in time ο‚™ Reduced clerical effort and paper work ο‚™ Improved legibility ο‚™ Faster response to engineering changes ο‚™ Incorporation of other application programs Befits Of CAPP
  • 17. ο‚– ο‚™ The two basic approaches of CAPP system are ο‚– Retrieval CAPP system ο‚– Generative CAPP system Approaches of CAPP
  • 18. ο‚– ο‚™ The basic idea behind the retrieval CAPP is that similar parts will have similar process plans. ο‚™ In this system, a process plan for a new part is created by recalling, identifying and retrieving an existing plan for a similar part, and making the necessary modifications for the new part. Retrieval CAPP system
  • 19. ο‚– ο‚™ In the generative approach, an automatic computerised system is used to synthesize or generate each individual process plan automatically and without reference to any prior plan. ο‚™ A generative CAPP system generates the process plan based on decision logics and pre-coded algorithms. Generative CAPP system
  • 20. ο‚– ο‚™ Classification and coding capabilities ο‚™ Graphics capabilities ο‚™ Work instruction creation and maintenance ο‚™ Process planning capabilities ο‚™ Time standard capabilities ο‚™ Machining parameters ο‚™ Total system considerations ο‚™ Vendor qualifications Criteria for selecting a CAPP system
  • 21. ο‚– ο‚™ Production planning and control (PPC) is aimed at achieving the efficient utilisation of resources (material, men, facility, etc) in the manufacturing organisation through planning, coordinating and control of production activities that transform the raw material into finished products in a most optimal manner. ο‚™ Production planning and control = Production planning + production control Production planning and control systems
  • 22. ο‚– ο‚™ Production planning is a pre production activity. It is the pre-determination of manufacturing requirements such as manpower, materials, machines and manufacturing process. ο‚™ It is concerned with ο‚– Deciding which products to make, how many of each, and when they should be completed ο‚– Scheduling the production and delivery of the parts and products ο‚– Planning the manpower and equipment resources needed to accomplish the production plan Production planning
  • 23. ο‚– ο‚™ Aggregate production planning ο‚™ Master production planning ο‚™ Material requirements planning (MRP) ο‚™ Capacity planning Activities of production planning
  • 24. ο‚– ο‚™ Production control is concerned with determining whether the necessary resources to implement the production plan have been provided or not. ο‚™ Production control tries to take corrective action to match the planned and actual production. Production control
  • 25. ο‚– ο‚™ Shop floor control ο‚™ Inventory control ο‚™ Manufacturing resource planning (MRP II) ο‚™ Just in time production systems Activities of production control
  • 28. ο‚– ο‚™ Aggregate planning is the process of planning the quantity and timing of output over the intermediate time horizon (3 months to 1 year). ο‚™ The aggregate production plan is based upon the demand forecasts provided by the marketing department. Aggregate Production Planning
  • 29. ο‚– ο‚™ The main purpose of the aggregate plan is to specify the optimal combination of production rate, workforce level and inventory on hand. ο‚™ To maximize profits/minimize costs ο‚™ To maximize customer service ο‚™ To minimize inventory investment ο‚™ To minimize changes in workforce levels ο‚™ To maximize utilization of plant and equipment. Objectives of Aggregate planning
  • 30. ο‚– Flow chart of aggregate plan and master schedule
  • 31. ο‚– The operations planning and scheduling system
  • 32. ο‚– Inputs to and outputs from aggregate production planning
  • 33. ο‚– ο‚™ The aggregate plan is an intermediate planning stage, and in the next stage the aggregate plan is to be disaggregated (broken down into parts) to include information about the different models of the product to be produced. ο‚™ This disaggregated plan is known as master production schedule (MPS). ο‚™ MPS is the result of the disaggregation of an aggregate plan. Master Production Schedule
  • 35. ο‚– ο‚™ To schedule end items to be completed promptly and when promised to customers. ο‚™ To avoid overloading or under loading the production facility so that production capacity is efficiently utilized and low production costs result. Objectives of MPS
  • 36. ο‚– ο‚™ To translate aggregate plans into specific end items. ο‚™ To evaluate alternative schedules. ο‚™ To generate material requirement. ο‚™ To generate capacity requirement ο‚™ To facilitate information processing ο‚™ To maintain valid priorities ο‚™ To effectively utilize capacity Functions of MPS
  • 38. ο‚– ο‚™ Material requirement planning is a computational technique that converts the master schedule for final products into a detailed schedule for the raw materials and parts used in the final products. Material Requirement Planning (MRP)
  • 39. ο‚– ο‚™ MRP drives demand for components, subassemblies, materials, etc., from demand and production schedules of parent items. ο‚™ MRP offsets replenishment orders (purchase orders or production schedules) relative to the date when replenishment is needed. Basic characteristics of MRP
  • 40. ο‚– ο‚™ Master production schedule ο‚™ Bill of materials file ο‚™ Inventory record file Inputs to MRP
  • 42. ο‚– ο‚™ Reduced inventory levels ο‚™ Better production scheduling ο‚™ Reduced production lead time ο‚™ Reduced setup cost ο‚™ Reduced product changeover cost ο‚™ Better machine utilisation ο‚™ Improved product quality Benefits of MRP
  • 43. ο‚– ο‚™ Capacity planning is concerned with defining the long-term and short term capacity needs of a firm and determining how these needs will be met. Capacity planning
  • 44. ο‚– ο‚™ Assessing existing capacity ο‚™ Forecasting future capacity needs ο‚™ Identifying alternative ways to modify capacity ο‚™ Evaluating financial, economical and technological capacity alternatives ο‚™ Selecting a capacity alternative most suited to achieve the strategic mission of the firm. Activities involved in capacity planning
  • 45. ο‚– ο‚™ Rough cut capacity planning ο‚™ Capacity requirements planning Stages of capacity planning
  • 46. ο‚– ο‚™ RCCP is done in conjunction with the tentative master production schedule to test its feasibility in terms of capacity before the master production schedule is finalized. Rough Cut Capacity Planning (RCCP)
  • 48. ο‚– ο‚™ Capacity requirement planning is a technique for determining what labour/personnel and equipment capacities are needed to meet the production objectives symbolised in the master production schedule (MPS) and the material requirements planning (MRP). Capacity Requirement Planning
  • 50. ο‚– ο‚™ A shop floor control system is defined as a system for utilizing data from the shop floor as well as data processing files to maintain and communicate status information on shop orders and work centre. ο‚™ SFC is concerned with ο‚™ The release of production orders to the factory ο‚™ Monitoring and controlling the progress of orders through the various work centres. ο‚™ Acquiring information on the status of the orders. Shop floor control
  • 52. ο‚– ο‚™ Assigning priority of each shop order (Scheduling) ο‚™ Maintaining work in process quantity information (Dispatching) ο‚™ Conveying shop order status information to the office (Follow up) ο‚™ Providing actual output data for capacity control purposes ο‚™ Providing quantity by location by shop order for work in process inventory and accounting purposes ο‚™ Providing measurement of efficiency, utilisation and productivity of manpower and machines. Function of shop floor
  • 53. ο‚– ο‚™ Order release ο‚™ Order scheduling ο‚™ Order progress Phases of SFC
  • 55. ο‚– ο‚™ This order release phase provides the documentation needed to process a production order through the factory. ο‚™ Route sheet ο‚™ Material requisitions ο‚™ Job cards ο‚™ Move tickets ο‚™ Part lists Order release
  • 56. ο‚– ο‚™ In this phase, the order scheduling module assigns the production orders to the various work centres in that plant. ο‚™ In other words, order scheduling executes the dispatching function in production planning and control. ο‚™ Two elements of order scheduling ο‚– Machine loading ο‚– Job sequencing Order scheduling
  • 57. ο‚– ο‚™ The order progress phase monitors the status of the various orders in the plant, work in progress and other characteristics that indicate the progress and performance of production. Order progress
  • 58. ο‚– ο‚™ The factory data collection (FDC) system consists of various paper documents, terminals and automated devices through out the plant for collecting data on shop floor operations. Factory data collection
  • 59. ο‚– ο‚™ Number of pieces completed at a certain work centres, ο‚™ Direct labour time spent on each order, ο‚™ List and number of parts that are scrapped, ο‚™ List and number of parts requiring rework, ο‚™ Equipment downtime, and ο‚™ Time clocks used by employees to punch in and out of work. Types of data collected by FDC
  • 60. ο‚– ο‚™ To supply status and performance data to the shop floor control system. ο‚™ To provide up-to-date information to the production supervisors and production control personnel. ο‚™ To enable the management to monitor implementation of master schedule. Objectives of FDC system
  • 61. ο‚– ο‚™ Online data collection systems ο‚™ Offline data collection systems Types of data collection systems
  • 62. ο‚– ο‚™ In an on-line system, the data are entered directly into the plant computer system and are immediately available to the order progress module. ο‚™ Advantage: The data file representing the status of the shop is always kept at the current state. Online data collection systems
  • 63. ο‚– ο‚™ In an off-line data collection system, the data are collected temporarily in a storage device or in a stand alone computer to be entered and processed by plant computer in a batch mode. ο‚™ Advantage: The offline data collection system is easier to install and implement when compared to online data system. Offline data collection systems
  • 64. ο‚– ο‚™ Inventory control may be defined as the scientific method of determining what to order, when to order and how much to order and how much to stock so that costs associated with buying and storing are optimal without interrupting production and sales. Inventory management
  • 65. ο‚– ο‚™ To ensure continuous supply of materials so that production should not suffer at any time. ο‚™ To maintain the overall investment in inventory at the lowest level, consistent with operating requirements. ο‚™ To avoid both overstocking and under stocking of inventory. ο‚™ To keep inactive, waste, surplus, scrap and obsolete items at the minimum level. Objectives of inventory control
  • 66. ο‚– ο‚™ Ordering costs ο‚™ Carrying costs ο‚™ Shortage costs ο‚™ Purchase costs Costs associated with inventory
  • 67. ο‚– ο‚™ Ordering costs are the costs associated with the placement of an order for the acquisition of inventories. Ordering cost
  • 68. ο‚– ο‚™ Inventory carrying costs are the costs associated with holding a given level of inventory on hand. Holding (or inventory carrying costs)
  • 69. ο‚– ο‚™ When the stock of an item is depleted and there is a demand for it, then the shortage cost will occur. In simple terms, shortage cost is the cost associated with stock-out. Shortage (or stock-out) costs
  • 70. ο‚– ο‚™ Purchase costs are the costs incurred to purchase / produce the item. Purchase (or production)cost
  • 71. ο‚– ο‚™ The amount of material procured or quantity produced during one production cycle is known as order quantity or lot size. ο‚™ EOQ is that size of order which minimises the total costs of carrying inventory and ordering. Economic order quantity
  • 76. ο‚– ο‚™ Fixed order quantity models (Q-models) ο‚™ Fixed time period models (P-models) Types of inventory systems
  • 79. ο‚– ο‚™ MRP – II is defined as a computer based system for planning, scheduling and controlling the materials, resources and supporting activities needed to meet the master production schedule (MPS) Manufacturing resource planning (MRP - II)
  • 80. ο‚– ο‚™ Management Planning ο‚– Business strategy, aggregate production planning, master production scheduling and budget planning ο‚™ Customer services ο‚– Sales forecasting, order entry, sales analysis and finished goods inventory ο‚™ Operations planning ο‚– Purchase order and work order release ο‚™ Operations execution ο‚– Purchasing, product scheduling and control, shop floor control and work in process inventory control ο‚™ Financial functions ο‚– Cost accounting, accounts receivable, accounts payable Functions of MRP-II
  • 82. ο‚– ο‚™ ERP is a new system concept in which every enterprise function is integrated in a seamless flow of information. ο‚™ This system integrates all facts of business including sales and order entry, engineering, manufacturing, finance and accounting, distribution, order planning and execution and the supply chain flows. Enterprise resource planning (ERP)
  • 83. ο‚– ο‚™ ERP is a software architecture that integrates all the functions of the enterprise. ο‚™ ERP system requires a seamless flow of information ο‚™ ERP is an extremely powerful, user friendly technology ο‚™ ERP is supported by client server architecture for communication at different levels of system. Features of ERP system
  • 84. ο‚– 1. Identify the needs of ERP implementation package 2. Evaluate the existing business situation 3. Make decision regarding desired situation through benchmarking 4. Reengineer business process to achieve the desired results 5. Evaluate various available ERP packages 6. Choose the suitable best ERP package 7. Install necessary hardware and networks 8. Finalise the ERP consultant 9. Implement ERP in phased manner Implementation of ERP