NPTEL Lecture series
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Transcript of NPTEL Lecture series
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
MODULE 3 Historical Background
• Inventory lot-sizing models
• Time-series forecasting
• Production Planning & Control
• Purchasing
• Sales & Distribution
All these functions have existed for a century !
• THE TRANSITION (1970 – 1995)
• Inventory models came under attack (70’s)
• Enter MRP � MRP II � ERP
• And from Japan, JIT, TQM, Kaizen, etc.
What Happened Thereafter?
• Need for better coordination /integration of functions
• Shorter time to manufacture
• Globalization
• Emergence of IT
• Led to the evolution of
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Evolution
What Is Supply Chain ?
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Or………., Is It This ?
Supply Chain Management Is a total systems approach to managing the entire flow of information,
materials and services from raw material suppliers through factories,
distribution centers and ware houses to the customer.
Distribution Centers Warehouses Customers Plants Suppliers
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Overview Of Supply Chain
Distributor
s
Factories/
Plants Supplier
Customers
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Supply Chain Types
External Supply Chain
• Involving other companies.
Internal Supply Chain
• Involving functions / departments /
• business units within the organisation.
SUPPLIERS
DISTRIBUTORS/ WAREHOUSES
CUSTOMERS
THIRD PARTY LOGISTICS
Supply /Inbound Logistics Production Distribution/Outbound logistics
Information Flow
Product Flow
Money Flow Services Flow
MANUFACTURERS
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Scm Functional Decisions
1. Procurement (Purchasing) decisions
• Supplier selection
• Sourcing / purchasing
• Vendor Managed Inventories
Objectives Of Purchasing
• Provide uninterrupted flow of materials
• Buy competitively and wisely
• Minimize inventory holding costs
Decisions
Functional Temporal
• Strategic
• Tactical
• Operational
• Procurement
• Production
• Logistics
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
• Source development
• To develop good vendor relationships
• Achieve maximum integration with other departments
• Train purchase personnel
• To develop policies and procedures to achieve objectives (1-7)
Purchasing Must Provide Material Of
Right Source
Right Price
Right Quantity
Right time
Right Quality
from the
at the
of the
at the
of the
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Right Quality
• Involves many factors:
• Price, installation cost, maintenance cost, life expectancy, market availability, workability and attitude of users
• Must balance three major considerations
How to determine ? How to define ? How to control ?
Describe such that vendor understands
Engineering Versus Economic
Right Source
• Influences the other 4 “Rights”
• Supplier goodwill
• Supplier identification (yellow pages), evaluation / rating and selection
• Buyer Seller relationships and ethics
• Factors to be considered include Quality, cost, delivery, credit terms distance etc
• In periods of stability, prosperity, recession
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Right Price
Methods Contracts Discounts
Right Quantity
• Inventory Control – traditional approach
• Material Requirement Planning (MRP)
• Just In Time (JIT) and Zero Inventory
Right Time
Timing Policies:
• Purchase according to current requirements (1 to 3 Months)
• Purchase according to market conditions
Perfect competition Imperfect competition Monopoly
Analyze price lists Competitive bidding Negotiation
Fixed price Cost type
Quantity, seasonal, cash
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
• Hand-to-mouth buying
• Forward buying (3 to 12 months)
• Speculative buying
• Depends on lead times
• Decides “When to order”
• JIT concepts
Scm Functional Decisions 2. Production decisions
• Process Design
• Manpower management
• Quality
• Inventory management
• Capacity planning and scheduling
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Scm Functional Decisions 3. Logistics decisions
What is Logistics ?
Production Decisions QUALITY
•Managing quality
•Quality Control and Improvement
MANPOWER MANAGEMENT
•Managing Workforce
•Job Design
•Performance Measurement & Improvement
PROCESS DESIGN
•Process Selection
•Service Operations Design
•Choice of Technology
•Process Flow Analysis
•Layout of Facilities
INVENTORY MANAGEMENT
•Independent Demand
•Materials Requirement Planning
•Just-in-time
CAPACITY PLANNING AND SCHEDULING
•Forecasting
•Aggregate Planning
•Scheduling Operations
•Project Planning
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Scm Functional Decisions
• Logistics decisions
• Materials Management Decisions (Inbound)
• Sales forecasting
• Order processing
• Inbound transportation
• Physical Distribution Decisions (Outbound)
• Configuration of distribution facilities
• Location of facilities
• Mode of transport
• Vehicle routing
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Physical Distribution Decisions
• When to deliver the products
• Where to deliver the products
• How to deliver the products at a reasonable cost.
Inventory
Inventory turnover ratio,
Obsolescence, Locked up capital,
Uncertain lead
times and
Warehousing & Packaging
Housekeeping,
Packaging costs,
Transportation
Rail,
Truck, Air,
Water and
Components of Logistics
Facility Structure
Warehouses, Factories,
Processing Centres,
Distribution
Centres,
Communications
& IT Technology base,
Trained manpower,
Good
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
TYPICAL CHANNELS OF DISTRIBUTION
PRODUCER
CONSUMER
DISTRIBUTION
ANUFACTURER ONSUMER
ETAILER
GENT
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Physical Distribution Objectives Distribution Channel Functions
Physical Distribution: Vehicle Routing Decisions Role Of Information Technology In Scm IOIS – Inter-organizational Information System
• EDI: Electronic Data Interchange
• ERP: Enterprise Resource Planning
Physical
distribution
Communication & transaction
Facilitating
Storage
Breaking
Bulk
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
• Barcode System
• Identifying products, services, assets and locations throughout the world
• Data Mining and Warehouse (Database)
• Intranet ( within companies)
• Extranet (between partners)
• Internet (WWW – World Wide Web)
• Decision Support System
Supply Chain Optimization
Optimization is used to improve a company’s supply chain performance in variety of areas
• Lower Supply Co sts
• Higher Profit Margins
• Increased Manufacturing Throughput
• Better Return on Assets
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Scope Of Supply Chain Modeling Three Levels Of Decision Hierarchy
� Location-allocation decisions � Demand planning � Distribution channel planning � Strategic alliances
� Inventory control � Production / distribution coordination � Order/freight consolidation
� Vehicle routing/scheduling � Workforce scheduling
Strategic
Tactical
Operational
� Outsourcing � Supplier selection � Information technology selection � Pricing � Network restructuring
� Material handling � Equipment selection � Layout design
� Record keeping � Packaging
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Modeling Approaches To Scm
Network Design
MIP Optimiza
tion
Optimal
Control
Dynamic Programmi
ng
WMS ERP GIS
Supply Chain Modeling
Deterministic Stochastic Hybrid Heuristic IT Driven Simulation
WMS – Warehouse Management System ERP – Enterprise Resource Planning GIS – Geographic Information System
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Deterministic Models
Assumption:
Model parameters are known with certainty.
(i) Network Models.
• Determine location of production, stocking, and sourcing facilities, and channels through which the products flow.
(ii) Mixed-Integer Programming (MIP) Models.
Includes models for
• vehicle routing and scheduling,
• facility location and sizing,
• shipment routing and scheduling,
• freight consolidation and
• selection of the mode of transportation.
np-complete - not amenable to optimization.
Stochastic Programming
• Some of the variables are not deterministic.
• Such models are appropriate
• When data evolve over time and decisions need to be made prior to observing the entire data stream.
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Robust Optimization Models
Uncertainty about problem data is treated as unknown-but-bounded.
Intervals of confidence for the data are considered.
Heuristic Models
• Intelligent approach that attempts to find good solutions.
• Empirical approached problem solving
• Thumb Rule
• Quick and Effective
• No guarantee of optimum
• Adequate for real life
Simulation Models
• Both strategic & operational elements.
• Evaluate alternative policies or decisions.
• Dynamic nature of supply chains.
Hybrid Models • Both deterministic & stochastic models.
• Inventory-theoretic & simulation models.
• Deal with both certainty and uncertainty.
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Hybrid Models
• Both deterministic & stochastic models.
• Inventory-theoretic & simulation models.
• Deal with both certainty and uncertainty.
It Driven Models
• Warehouse management system (WMS)
• Transportation management systems (TMS)
• Integrated transportation tracking,
• Collaborative planning and forecasting
• replenishment (CPFR),
• Material requirement planning (MRP),
• Distribution resource planning (DRP),
• Enterprise resource planning (ERP), and
• Geographic information systems (GIS).
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Requirements For Effective Scm Information Handling
• Lightness of data transferring – only essential information (not GIGO !)
• Transparency and speed of information
MODELS FOR VEHICLE ROUTING
Improvement
(2-opt, 3-opt)
Route-First,
Cluster-Second Cluster-First
Route-Second
Savings
Procedure
Insertion
Procedure
Genetic
Algorithms
Simulated
Annealing
Neural
Network Ant
Colony
Simulation Based
Approach
Intuitive Based
Approach
Lagrangean
Relaxation
Branch & Bound
Dynamic
Programming
Preference Based
Approach
Tabu
Search
Graphics
Capability
Particle
Swarm
Mathematical
Programming
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
• Accurate
• Timely access
• Defining the right amount of information for each level
Information Handling (Contd.)
• Information to right people To ensure that information reached the recipi
• ent
• To prevent and control data seepage
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Implementation
Co-operation, not Competition : Focus on jointly solving problems, not looking for someone to blame.
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
It Difficulty
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Trade-off between Accessibility and Security
On the Internet, nobody knows you’re a dog
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Scm – Overall Drawbacks
Problem Solution Benefits Possible Drawbacks
Large inventories
Smaller, more frequent deliveries
Reduced holding costs
Traffic congestion Other costs
Long lead times to
manufacture, to procure
Delayed differentiation
No transfer of load (point to point)
Quick response May not be feasible Lack of functional integration
Large number of parts
Modular Fewer parts Simpler ordering
Less variety
Quality cost Outsourcing Reduced cost, higher quality
Loss of control
Variation in demand, MPS, etc.
Shorter lead times, better forecasts
Able to match supply and
demand
Less variety
The Future Of Scm
• Soft issues
• Multi-objective formulations
• Dynamic decision rules
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
Design of model-based Decision Support System Shall we dream of an IT-driven, Customer-friendly, People-sensitive Supply Chain Management System ? WHERE DOES SCM STAND TODAY ? Fragmented ! Production managers don't know enough IT
IT professionals don't know enough Operations Management
Management Science II Dr.T.T.Narendran
Indian Institute of Technology Madras
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