Production and Operations Management
Teacher
Dr. Prasanta K. Mohanty
Category
Core Courses
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Course Name : Production and Operations Management
Code(Credit) : CUTM1205(2-0-1)
Course Objectives
- Understand Manufacturing 4.0 and appreciate technology integration in smart production
- Understand the various production and operations design decisions and how they relate to the overall strategies of organizations.
- Understand the importance of product and service design decisions and its impact other design decisions and operations.
- Obtain an understanding of quality management practice in organizations and how total quality management and six-sigma facilitate organizational effectiveness.
- Understand the roles of inventories and basics of managing inventories in various demand settings.
Course Outcomes
| COS | COURSE OUTCOMES | MAPPING COS WITH POS (High-3; Medium-2; Low-1) |
| CO1 | Understand the knowledge on core features of the operations and production management function at the operational and strategic levels, specifically the relationships between people, process, technology, productivity and quality and how it contributes to the competitiveness of firms | PO1(3) |
| CO2 | Students will develop an integrated framework for strategic thinking and decision making to analyse the enterprise as a whole with a specific focus on production delivery processes | PO2(3), PO3(2) |
| CO7 | Sensitive to the impact on environments while dealing with production, use of technology and waste management | PO8(2) |
Course Syllabus
Module I: Manufacturing Operations Management - The Smart Backbone of Industry 4.0; Introduction, Basic concepts of Manufacturing Operations Management(MOM)/ Manufacturing Execution System(MES) for Industry 4.0
Smart manufacturing; The roots of smart manufacturing, Pillars of smart manufacturing; Pillar 1: Manufacturing technology and processes, Pillar 2: Materials, Pillar 3: Data, Pillar 4: Predictive engineering, Pillar 5: Sustainability, Pillar 6: Resource sharing and networking,
Operations Management and Strategy; Operations Decisions - A Framework, Cross-Functional Decision Making, Operations as a Process
Service Process Selection and Design; The Nature of Services, Service Strategy: Focus & Advantage, Service-System Design Matrix. Service Blueprinting, Service Fail-safing, Characteristics of a Well-Designed Service Delivery System
Module II: Process Analysis; key elements of process analysis: flow rates, and flow times, uncover bottlenecks, optimize labour and inventory, and complexities of multiple flow units.
Inventory Management; Purpose of Inventories, Costs of Inventories, Independent versus Dependent Demand, Economic Order Quantity, Continuous Review System, Periodic Review System, Using P and Q System in Practice, ABC Inventory Management, Betting on the Uncertain Demand. Service Levels and Lead Times; Newsvendor Model
Module III: Quality; quality in operations, from examining the common reasons for defects to the most widely used implementation techniques for addressing problems of quality and ensuring reliability and standards. sound strategy for maintaining quality and stability.
Module IV: Scheduling and Sequencing; Objective of Scheduling, Advanced Planning and Scheduling System. Sequencing; Gantt chart, Sequencing model - "n" jobs 1 machine, "n" jobs 2 machines, "n" jobs “m” machines
Service Operation Scheduling; Waiting Line Problems. Effect of Randomness on Thruput. Thruput Loss due to Impatience / Limited Buffers.
Texts:
- OM by Chase, Jacobs, Aquilano, Agarwal
- Krajewski, Ritzman, Malhotra- Operations Management, Pearson
- Gaither, Frazier, Operations Management, CENAGE
References:
- Roberta S. Russell & Bernard W. Taylor III, - “Operations Management”, Pearson/ PHI- ( PPT)
- Everette. Adam Jr., Ronald J. Ebert, - “Production and Operations Management”, PHI
- B.MAHADEVAN, “OPERATIONS MAANGEMENT” FOR CASELETS
Session Plan
Session 1
The Smart Backbone of Industry 4.0; Introduction, Basic concepts of Manufacturing Operations Management(MOM)
Session 1 Industry 4.0 & smart factory
Session 2
Manufacturing Execution System(MES) for Industry 4.0
Session 3
Smart manufacturing; The roots of smart manufacturing, Pillars of smart manufacturing; Pillar 1: Manufacturing technology and processes, Pillar 2: Materials, Pillar 3: Data, Pillar 4: Predictive engineering, Pillar 5: Sustainability, Pillar 6: Resource sharing and networking
Session 4
Operations Management and Strategy; Operations Decisions - A Framework, Cross-Functional Decision Making, Operations as a Process
Service Process Selection and Design; The Nature of Services, Service Strategy: Focus & Advantage, Service-System Design Matrix. Service Blueprinting, Service Fail-safing, Characteristics of a Well-Designed Service Delivery System
Session 4 Operation Function and Strategy
Session 5
Process Analysis; key elements of process analysis: flow rates, and flow times, uncover bottlenecks, optimize labour and inventory, and complexities of multiple flow
Session 6 & 7
Inventory Management; Purpose of Inventories, Costs of Inventories, Independent versus Dependent Demand, Economic Order Quantity
Session 8
Continuous Review System, Periodic Review System, Using P and Q System in Practice, ABC Inventory Management, Betting on the Uncertain Demand. Service Levels and Lead Times
Session 9
Newsvendor Model
Session 10
Quality; Concept of quality, Quality of design, Conformance & performance; Cost of poor process, Performance and quality
Session 11
Control chart; Process Control charts, Process out of control, X, R & P chart
Session 12
Product control, Acceptance sampling, OC curve
Session 14
Scheduling, Objective of Scheduling, Advanced Planning and Scheduling System Sequencing; Gantt chart, Sequencing model - "n" jobs 1 machine, "n" jobs 2 machines, "n" jobs “m” machines
Session 15 & 16
Service Operation Scheduling; Waiting Line Problems. Effect of Randomness on Thruput. Thruput Loss due to Impatience / Limited Buffers.
Session 17, 18, 19 & 20
Project Presentation by students
Case Studies
Case Studies
Our Main Teachers
A graduate in Electronics and Communication Engineering. Done MBA and Ph.D. in the area of Supply Chain Management. The academic interest lies in teaching courses; Project Management, Supply Chain Design, and Service Operation Management. The research interests are in Service Optimisation, Vendor Management Inventory, and Disruptive Innovations. Worked with many organizations viz; L & T […]