1. PREAMBLE |
A SUPPLY CHAIN is a network of supplier, manufacturing, assembly, distribution,
and logistics facilities that perform the functions of procurement of materials,
transformation of these materials into intermediate and finished products,
and the distribution of these products to customers. Supply chains arise
in both manufacturing and service organizations. SUPPLY CHAIN MANAGEMENT
(SCM) is a systems approach to managing the entire flow of information,
materials, and services from raw materials suppliers
through factories and warehouses to the end customer. SCM is different
from SUPPLY MANAGEMENT which emphasizes only the buyer-supplier relationship.
Supply chain management has emerged as the new key to productivity and competitiveness of manufacturing and service enterprises. The importance of this area is shown by a significant spurt in research in the last five years and also proliferation of supply chain solutions and supply chain companies (e.g. i2, Manugistics, etc.). All major ERP companies are now offering supply chain solutions as a major extended feature of their ERP packages.
Supply chain management is a major application area for Internet Technologies
and Electronic Commerce (ITEC). In fact, advances in ITEC have contributed
to growing importance of supply chain management and SCM in turn has contributed
to many advances in ITEC.
1.2. Two Faces of Supply Chain Management
SCM has two major faces to it. The first can be called loosely as the
back-end and comprises the physical building blocks such as the
supply facilities, production facilities, warehouses, distributors,
retailers, and logistics facilities. The back-end essentially involves
production, assembly, and physical movement. Major decisions here include:
1. Procurement (supplier selection, optimal procurement policies, etc.)
2. Manufacturing (plant location, product line selection, capacity planning, production scheduling, etc.)
3. Distribution (warehouse location, customer allocation, demand forecasting, inventory management, etc.)
4. Logistics (selection of logistics mode, selection of ports, direct delivery, vehicle scheduling, etc.)
5. Global Decisions (product and process selection, planning under uncertainty, real-time monitoring and control, integrated scheduling)
Stochastic models (Markov chains, queueing networks), optimization models (LP, ILP, MILP, heuristics), and simulation provide the basis for the above decisions.
The second face (which can be called the front-end) is where IT and
ITEC play a key role. This face involves processing and use of information
to facilitate and optimize the back-end operations. Key technologies here
include: EDI (for exchange for information across different players in
the supply chain); Electronic payment protocols; Internet auctions (for
selecting suppliers, distributors, demand forecasting, etc.); Electronic
Business Process Optimization; E-logistics; Continuous tracking of customer
orders through the Internet; Internet-based shared services manufacturing;
etc.
2. OBJECTIVES OF THE COURSE |
To provide an insight into
the role of Internet Technologies and Electronic Commerce in supply chain
operations and to discuss
technical aspects of key ITEC components in supply chain management.
To bring out the role of
stochastic models (Markov chains, queueing networks); optimization models
(LP, ILP, MILP, GA, Constraint Programming); and simulation in supply chain
planning and decision-making. This will provide the foundation for design
and analysis of supply chains.
3. STRUCTURE OF THE COURSE |
Part 1: Building Blocks, Performance Measures, Decisions |
Building Blocks of a Supply Chain NetwortResources
Performance Measures
Decisions in the Supply Chain World
Models for Supply Chain Decision-Making
Lecture Notes
Problem Set: 1
Chapter 2: N. Viswanadham. Analysis of Manufacturing Enterprises. Kluwer Academic Publishers.
Chapter 7: N. Viswanadham. Analysis of Manufacturing Enterprises. Kluwer Academic Publishers.
Y. Narahari and S. Biswas. Supply Chain Management: Models and Decision Making
Ram Ganeshan and Terry P. Harrison. An Introduction to Supply Chain Management
D. Connors, D. An, S. Buckley, G. Feigin, R. Jayaraman, A. Levas, N. Nayak, R. Petrakian, R. Srinivasan. Dynamic modelling for business process reengineering. IBM Research Report 19944, 1995
Part 2: Supply Chain Inventory Management |
Economic Order Quantity ModelsResources
Reorder Point Models
Multiechelon Inventory Systems
Lecture Notes
Chapter 3: W.J. Hopp and M.L. Spearman. Factory Physics: Foundations of Manufacturing Management
Chapter 17: W.J. Hopp and M.L. Spearman. Factory Physics: Foundations of Manufacturing Management
Part 3: Mathematical Foundations of Supply Chain Solutions |
Use of Stochastic Models and Combinatorial Optimization in:ResourcesSupply Chain PlanningUnderstanding the "internals" of industry best practice solutions
Supply Chain Facilities Layout
Capacity Planning
Inventory Optimization
Dynamic Routing and Scheduling
Lecture Notes
Part 4: Case Studies |
Digital Equipment Case StudyResources
IBM Case Study
Lecture Notes
Part 5: Internet Techologies and Electronic Commerce in SCM |
Relation to ERPResources
E-procurement
E-Logistics
Internet Auctions
E-markets
Electronic business process optimization
Business objects in SCM
Lecture Notes
Syllabus
Course Organization & Overview Course Schedule Books and References |
Problems
Term Papers Mini Projects Useful Web Resources |