DISC 230 Introduction to Business Process Modeling Spring Semester 2018 Instructor Room No. Office Hours Email Telephone Secretary/TA TA Office Hours Course URL (if any) Mian Khalid Rehman 441 (SDSB) khalid.rehman@lums.edu.pk Sec: Malik Imran/ TA: http://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 Elective 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. COURSE PREREQUISITE(S) MATH 101 Calculus, Statistics (in past students without these backgrounds have also survived the course) 1/5
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 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 COURSE LEARNING OBJECTIVES Not directly covered Somewhat covered through objectives 1 & 2 2/5 COURSE ASSESSMENT ITEM, CP
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 Covered through objectives 1 & 2 Covered through objectives 1 4 Covered through objective 2, GRADING BREAKUP AND POLICY Attendance: 5% Class Participation (CP): 5% Assigned Case Studies (HWs): 10% Quizzes: 20% (5 Quizzes, 4 best shall be counted) : 10% Midterm Examination: 20% Final Examination: 30% 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 1,2 3,4,5,6 TOPICS Introduction to Operations Management, The scope of OM, OM & Decisions Making. Competitiveness Productivity, Strategy Forecasting Process, Qualitative & Quantitative Forecasting, Time Series, Associative Techniques, Forecasting Process, Time Series, Errors in Forecasting 3/5 RECOMMENDED READINGS Stevenson Chapters 1&2 Stevenson Chapter 3 OBJECTIVES/ APPLICATION Forecasting Techniques, Measuring Forecast Accuracy
7 8 9,10 11,12 13 Product & Service Design Stevenson Chapter 4 Understand the Objectives of Product & Service Design, Impact of Internal & External Factors on Design Capacity Planning Stevenson Chapter 5 Measuring Capacity, Developing Capacity Alternatives Case Study: Kirsten s Cookie Company Understand Process Flows, Capacity, Lead Times etc. Process Selection & Facility Layout Stevenson Chapter 6 Types of Processing, Basic Layout Types, Line Balancing Design of Work Systems Stevenson Chapter 7 Specialization, Impact of Working Conditions, Time & Motion Study 14 Location Planning Stevenson Chapter 8 15 Factors Affecting Location Decisions, Understanding the Location Decision Process Management of Quality Stevenson Chapter 9 Determinants of Quality, Cost of Quality / Poor Quality 16,17 Mid Term Exam Quality Control Case Study: Excerpts from The Goal Stevenson Chapter 10 18 Aggregate Planning Stevenson Chapter 11 18 19,20,21 22 23 24 Quality Control Techniques Understanding the Variables Affecting Planning, Exposure to Planning Techniques MRP & ERP Stevenson Chapter 12 System Inputs & Outputs, Benefits & Difficulties Inventory Management Case Study: Excerpts from The Goal Stevenson Chapter 13 Case Study: University Health Services Importance of Inventory, Introduction to inventory Systems & Models Detailed Data Analysis, Understand Bottlenecks & Service Levels, Analyze Proposals for Better Operations JIT & Lean Operations Stevenson Chapter 14 Objectives of JIT, Basic Requirements, Issues in JIT Scheduling Stevenson Chapter 16 Scheduling Techniques & Rules 25,26 27 Presentation of s (Groups) Course Review Power Point Presentations Final Exam 4/5
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 5/5