This course covers both strategic as well as operational issues in supply chain and logistics management. Topics covered include strategic principles in logistics management, supply chain and logistic system design, demand and inventory management, logistics customer service, logistics information systems, order processing, transportation management, warehousing and materials handling. Recent developments in supply chain management such as third party logistics, quick response/efficient consumer response, vendor managed inventory, the bull-whip effect, cross docking, etc will also be covered.
This course aims at covering the planning, organizing, staffing, leading and controlling functions for successful implementation of various projects. This course deals with identification and solution for major problem areas within these functions. Major emphasis is given on forecasting quality control, inventory control, logistics and time management aspects of a project.
This course addresses a broad-spectrum of issues related to the design, planning, control, and improvements of business operations for both manufacturing and service organizations. The focus is on providing a basic understanding of the operations management function. The coverage encompasses understanding the operations management function in different contexts, analyzing typical decision problems in business operations, and enhancing linkages with other business functions. Topics covered include operations strategy, analysis and design of business processes, forecasting, inventory and supply chain management, and quality management and decision tools for management including tools for understanding and managing uncertainty in business. A variety of pedagogical tools are employed and key tactical and strategic imperatives that concern managers are emphasized throughout the course.
This course helps students designing and Improving Operations with the tools, conceptual frameworks, and technological understanding necessary to manage and improve operations in today’s increasingly challenging and complex business environment. It brings together important new concepts in operations management and information technology, showing students how to build operations that are lasting source of competitive advantage.
This course serves as an introduction to operations, viewed from the perspective of the general manager, rather than from that of the operations specialist. The coverage is very selective; the course concentrates on a small number of themes from the areas of operations management and information technology that have emerged as the central building blocks of world-class operations. It also presents a sample of key tools and techniques that have proven extremely useful. The topics covered are equally relevant to the manufacturing and service sectors.
This course focuses on a discussion of current topics on the principles, implementation and critical success factors of deploying Total Quality Management and Process Innovation in organizations. Also discussed are some of the techniques and tools used in implementing TQM and Process Innovation. These topics are approached from a managerial and practical perspective. The aim of this course is to develop a better understanding of the role of TQM in an organization and an enhanced appreciation for the complexity of issues facing the managers and users.
The course examines the management issues of organizing and allocating resources in the service industries, which make up a large part of advanced economies. Topics include the service concept, service delivery system design, the service encounter, service quality management, capacity planning, and the process of matching supply and demand.
This course focuses on planning and control of inventories, replenishments, manufacturing capacities and other supply chain resources. This course aims to develop planning and analytical skills useful for planning and controlling the supply chain. The course relies on MRP-based methodologies and some mathematical models and act as a complement to the supply chain systems course.
This course deals with physical systems for the production of goods and services. Emphasis is placed on managerial decisions concerning the design and operations of such systems. Topics include process analysis, planning and control, quality, capacity planning, and designing and improving production operations.
This course enhances the effectiveness and productivity of operations is a major goal of most organizations. Designing the operations of a firm will be critical to achieving this goal. This course aims to develop an understanding of the components that make up an integrated operating system and to impart modeling skills for understanding the design tradeoffs. The objectives of the course are to develop skills for designing and improving operations; to demonstrate the wide applicability of modeling methodology to different functional areas, with emphasis on manufacturing and service operations; to provide insights into actual business practices and outline the scope for applying the modeling and design ideas developed in this course and to develop optimization and simulation modeling skills.
This course prepares students to structure, organize, and manage operations in financial services firms, such as retail and investment banks, brokerage houses, and insurance companies. Topics covered include the strategic issues: product selection, process design, cross-selling, service strategy; the design of distribution channels: the interactions and synergies between the different distribution channels (branch offices, salespeople, call centers, ATM networks, on-line banking, etc.), channel coordination; the design of trading processes: capacity and product mix; the assessment of operational risk: statistical analysis of operational risk breakdowns, characteristics of effective controls, case studies of major operational breakdowns and the impact of information technology on operations: dependencies and interactions between operations and information technology.
This course introduces the basic principles and techniques of applied mathematical modeling for managerial decision making. Students learn to use some of the more important analytic methods (e.g., spreadsheet modeling, optimization, Monte Carlo simulation) to recognize their assumptions and limitations and to employ them in decision making. Students learn to develop mathematical models that can be used to improve decision making within an organization; sharpen their ability to structure problems and to perform logical analyses; translate descriptions of decision problems into formal models and investigate those models in an organized fashion; identify settings in which models can be used effectively, and apply modeling concepts in practical situations and strengthen their computer skills, focusing on how to use the computer to support decision making. The emphasis is on model formulation and interpretation of results, not on mathematical theory.
Technological change is highly dynamic. This course therefore aims to introduce emergent technologies and the latest thoughts and practices in the management of technology that are likely to have major impact.