DISC 230 Introduction to Business Process Modeling Spring Semester 2018 Instructor Room No. Office Hours Email Raza Ali Rafique 319 (SDSB) TBA raza.ali@lums.edu.pk Secretary/TA Bushra Kanwal, Ext 5311 TA Office Hours Course URL (if any) TBA suraj.lums.edu.pk/~ro/ COURSE BASICS Credit Hours 3 Lecture(s) Nbr of Lec(s) Per Week 2 Duration 75 mins Recitation/Lab (per week) Nbr of Lec(s) Per Week Duration Tutorial (per week) Nbr of Lec(s) Per Week Duration COURSE DISTRIBUTION Core Elective Open for Student Category Close for Student Category COURSE DESCRIPTION Operations transform resource or data inputs into desired goods, services, or results, to create value for customers and the manufacturer or service provider. An operation in automotive industry may involve an automotive assembly. In banking, an operation may involve providing teller services to the customers. Similarly, at McDonalds an operation may involve producing Big Mac or French fries. A primary objective of any manager (regardless of the industry type) is to design, plan, execute, and continuously improve the operation for which he/she is responsible for, in a cost effective manner. A thorough understanding of the intricacies involved is a requisite for cost effective and efficient management of manufacturing and service operations. This is core business course that aims to provide an overview of fundamental operations management concepts as well as an indepth understanding of proven techniques and best practices. During the course, the similarities and differences in operations management for various types of commercial sectors (such as manufacturing, services, and etc.) shall be specifically highlighted. After completing this course student will potentially be able to understand key concepts in operations management and would be able to choose and apply operations management tools and techniques. 1/6
COURSE PREREQUISITE(S) MATH 101 Calculus, Statistics (in past students without these backgrounds have also survived the course) COURSE OBJECTIVES 1. To understand the dynamics of basic operations in manufacturing as well as service settings 2. To develop ability and technical skills to critically analyze operational problems 3. Develop students with a broad technical skill set to apply necessary tools to support the decision making processes related to setting up and managing business operations. 4. Develop students with strong problem solving and analytical skills LEARNING OUTCOMES After completing this course student will potentially be able to: 1. Understand key concepts in operations management and Choose and apply operations management tools and techniques. UNDERGRADUATE PROGRAM LEARNING GOALS & OBJECTIVES General Learning Goals & Objectives Goal 1 Effective Written and Oral Communication Objective: Students will demonstrate effective writing and oral communication skills Goal 2 Ethical Understanding and Reasoning Objective: Students will demonstrate that they are able to identify and address ethical issues in an organizational context. Goal 3 Analytical Thinking and Problem Solving Skills Objective: Students will demonstrate that they are able to identify key problems and generate viable solutions. Goal 4 Application of Information Technology Objective: Students will demonstrate that they are able to use current technologies in business and management context. Goal 5 Teamwork in Diverse and Multicultural Environments Objective: Students will demonstrate that they are able to work effectively in diverse environments. Goal 6 Understanding Organizational Ecosystems Objective: Students will demonstrate that they have an understanding of Economic, Political, Regulatory, Legal, Technological, and Social environment of organizations. Major Specific Learning Goals & Objectives Goal 7 (a) Discipline Specific Knowledge and Understanding Objective: Students will demonstrate knowledge of key business disciplines and how they interact including application to real world situations (Including subject knowledge). Goal 7 (b) Understanding the science behind the decision making process (for MGS Majors) Objective: Students will demonstrate ability to analyze a business problem, design and apply appropriate decision support tools, interpret results and make meaningful recommendations to support the decision maker 2/6
Indicate below how the course learning objectives specifically relate to any program learning goals and objectives. PROGRAM LEARNING GOALS AND OBJECTIVES Goal 1 Effective Written and Oral Communication Goal 2 Ethical Understanding and Reasoning Goal 3 Analytical Thinking and Problem Solving Skills Goal 4 Application of Information Technology Goal 5 Teamwork in Diverse and Multicultural Environments Goal 6 Understanding Organizational Ecosystems Goal 7 (a) Discipline Specific Knowledge and Understanding Goal 7 (b) Understanding the science behind the decision making process COURSE LEARNING OBJECTIVES Not directly covered Somewhat covered through objectives 1 & 2 Covered through objective 2 & 3 Covered through objective 2 & 3 Covered through objective 2 & 3 Covered through objectives 1 & 2 Covered through objectives 1 4 Covered through objective 2 COURSE ASSESSMENT ITEM Project, CP CP, quizzes, exams CP, quizzes, exams CP, quizzes, exams Project Project CP, quizzes, exams, Project Project GRADING BREAKUP AND POLICY Min Term 30% Quiz (5 7): 15% (No make up quiz) Project: 10% (To be completed in groups number of students in a group: TBA) Final Examination: 30% Attendance/CP/Instructor: 15% (5+5+5) **Note: Attendance will be taken in every class and you are strongly encouraged to attend all classes. Please make sure you arrive ahead of time. The lecture/lab (if any) will start at the appointed time. While the class/lab is in session, please turn your mobile devices off. Please do not use the lab time to browse the web or check emails etc. CP will be marked based on your attendance, quality of contribution and class work submission (codes/excel files/short questions etc.). In case of more than seven (7) absents without any intimation/petition you will be awarded F grade. 3/6
EXAMINATION DETAIL Midterm Exam Yes/No: Yes Combine Separate: N/A Duration: 90 Minutes Exam Specifications: Pre Mid Syllabus, Close Book & Notes, Calculators Allowed, Complicated Formulas Provided. Final Exam Yes/No: Yes Combine Separate: N/A Duration: 120 Minutes Exam Specifications: Post Mid Syllabus, Close Book & Notes, Calculators Allowed, Complicated Formulas Provided. COURSE OVERVIEW LECTURE TOPICS 1 Introduction, Scope of OM, OM & Decisions Making, Evolution of OM RECOMMENDED READINGS Stevenson Chapter 1 (Introduction to Operations Management) OBJECTIVES/ APPLICATION Understanding the Need for OM 2 Competitiveness, Operations Strategy, Productivity, Productivity Improvement 3,4,5,6 Steps in Forecasting Process, Qualitative & Quantitative Forecasting, Time Series Models, Seasonality, Associative Forecasting Techniques (uptil Least Squares Linear Regression), Comparing Forecasting Techniques, Errors in Forecasting 7,8 Need for Product Design or Redesign, Human Factors, Legal & Environmental Factors, Product Life Stages, Standardization & Mass Customization, Phases in Product Design & Development, Service Design Vs. Product Design, Supplement to Chapter 4 Reliability: Probability of Functioning When Activated, Probability of Functioning for a Given Length of Time Stevenson Chapter 2 (Competitiveness, Strategy & Productivity) Stevenson Chapter 3 (Forecasting) Stevenson Chapter 4 (Product and Service Design) Understanding Why Productivity Matters in OM Understanding Forecasting Techniques & Data Requirements, Measuring Forecast Accuracy Understanding the Objectives of Product & Service Design, Impact of Internal & External Factors on Design 4/6
9,10 Capacity Decisions, Defining & Measuring Capacity, Capacity Planning, When to Outsourcing, Developing Capacity Strategies, Cost Volume Analysis & BreakEven Point Stevenson Chapter 5 (Strategic Capacity Planning for Products & Services) Understanding How to Measure Capacity, Developing Capacity Alternatives, Deciding Between Alternative Capacity Options 11,12 Process Selection, Process Strategy, Repetitive Processing (Product Layouts), Non Repetitive Processing (Process Layouts), Fixed Position/Combination/ Cellular/Service Layouts, Line Balancing 13,14 Working Conditions, Job Design, Process Flow Charts, Motion Study, Work Measurement, Work Sampling, Supplement to Chapter 7 Learning Curves: Concept of Learning Curves, Criticism Stevenson Chapter 6 (Process Selection & Facility Layout) Stevenson Chapter 7 (Work Design & Measurement) Understanding the Types of Processing Layouts, Line Balancing Advantages Understanding the Impact of Working Conditions, Time & Motion Study, Learning Curves Application Mid Term Exam Mid Term Exam Mid Term Exam 15 Location Decisions, Evaluating Alternative Locations (Cost Profit Volume Analysis, Factor Rating, Center of Gravity Method) 16 Dimensions of Quality, Determinants of Quality, Poor Quality, Costs of Quality, Gurus of Modern Quality Management, Total Quality Management, Introduction to Quality Tools 17,18,19 Inspections, Statistical Process Control, Control Charts for Variables & Attributes, Run Tests, Process Capability Analysis Stevenson Chapter 8 (Location Planning & Analysis) Stevenson Chapter 9 (Management of Quality) Stevenson Chapter 10 (Quality Control) Understanding the Factors Affecting Location Decisions, Understanding the Location Decision Process & How to Decide Between Different Location Options Understanding What is Quality & TQM, Costs of Quality & Poor Quality, Understanding the Need for Inspections, Statistical Quality Control Techniques & How They Differ 20,21,22 Nature/Importance/Functions of Inventories, Inventory Costs, Inventory Ordering Policies (EOQ, EPQ & Quantity Discount Models), Reorder Point, SinglePeriod Model (Continuous & Discrete Stocking Levels) Stevenson Chapter 13 (Inventory Management) Understanding the Importance of Inventory, Introduction to Inventory Systems & Models Including Perishable Goods 5/6
23 The Seven Wastes, Additional Wastes, Building Blocks, Manufacturing Planning & Control. What is Value Stream Mapping? Lean Systems Stevenson Chapter 14 (JIT & Lean Operations) Understanding the Objectives of JIT, Basic Requirements & Issues in JIT 24 Scheduling Operations (High & Medium Volume Systems), Gantt Chart, Assignment Model, Sequencing & Priority Rules, Scheduling Services Stevenson Chapter 16 (Scheduling) Understanding Scheduling Techniques & Rules, Sequencing Priority Rules & Benefits 25,26,27 Power Point Presentations Presentation of Group Term Projects Power Point Presentations Power Point Presentations in Class, 5 8 Minutes per Group 28 Course Review Final Exam Final Exam Final Exam TEXTBOOK(S)/SUPPLEMENTARY READINGS Books: [Suggested Textbook] Stevenson, W.J., (2011), Operations Management, 11 th or Later Edition, McGraw Hill International Edition [Additional Reference] Nahmias, Steven, (2005), Production and Operations Analysis, 5 th or Later Edition, McGraw Hill Irwin 6/6