A Process Outlook for Industrial Engineering

Video Lectures

Displaying all 34 video lectures.
Lecture 1
Introduction: Definition of the word “Process”
Play Video		 Introduction: Definition of the word “Process”
Lecture 1 (2014-02-05)
Introduction: Course Information. Definition of the word “Process”.

Study recommendation: Read lecture notes, comments on Quiz 1 (when available).
Keywords to remember: “Process”, “engineering”, “engineered process”, “decisions embedded into processes”.
Lecture 2
Course Information
Play Video		 Course Information
Lecture 2 (2014-02-05)
Introduction: Course Information. Definition of the word “Process”.

Study recommendation: Read lecture notes, comments on Quiz 1 (when available).
Keywords to remember: “Process”, “engineering”, “engineered process”, “decisions embedded into processes”.
Lecture 3
Process Examples: Service Systems
Play Video		 Process Examples: Service Systems
Lecture 3 (2014-02-12)
Wrap-up previous week + Process examples: Service Systems.

For each of the clips, observe the processes involved: 1) To understand operations considered; 2) To find out their relation; 3) To conceptualize possible related performance measures; 4) To propose ideas for improvement. Observation is a very useful complementary tool for understanding operations, the relations, and finally to initiate critical analysis for improvement.
Lecture 4
Process Examples: Service Systems II
Play Video		 Process Examples: Service Systems II
Lecture 4 (2014-02-12)
Wrap-up previous week + Process examples: Service Systems.

For each of the clips, observe the processes involved: 1) To understand operations considered; 2) To find out their relation; 3) To conceptualize possible related performance measures; 4) To propose ideas for improvement. Observation is a very useful complementary tool for understanding operations, the relations, and finally to initiate critical analysis for improvement.
Lecture 5
How to use process knowledge to
Play Video		 How to use process knowledge to "solve" IE problems?
Lecture 5 (2014-02-13)
How to use process knowledge to "solve" IE problems?

Keywords to remember: “performance measure”, “mathematical modeling”, “complex situations”, “improvement”, “trade-off”
Lecture 6
How to use process knowledge to
Play Video		 How to use process knowledge to "solve" IE problems? - Part 2
Lecture 6 (2014-02-13)
How to use process knowledge to "solve" IE problems?

Keywords to remember: “performance measure”, “mathematical modeling”, “complex situations”, “improvement”, “trade-off”
Lecture 7
Wrap-up of Previous Week
Play Video		 Wrap-up of Previous Week
Lecture 7 (2014-02-19)
Go over the improvement ideas discussed in sections. Re-emphasize the key-words of the previous week.
Lecture 8
Gantt Chart, Operation Chart, Process Charts Examples
Play Video		 Gantt Chart, Operation Chart, Process Charts Examples
Lecture 8 (2014-02-19)
Charts and diagrams; objectives; Gantt Chart, Operation Chart, Process Charts Examples.
Lecture 9
Flow Diagrams
Play Video		 Flow Diagrams
Lecture 9 (2014-02-20)
Charts and diagrams; objectives; Flow Diagrams. Discussion
Lecture 10
Networks – Shortest Path Problem I
Play Video		 Networks – Shortest Path Problem I
Lecture 10 (2014-02-26)
Networks – Shortest Path Problem

Study recommendation: Read “A Solution Method: Routing Through Networks: Read Chelst and Edwards (C&E) pp. 1-12”, and lecture notes.
Keywords to remember: “network representation”, “algorithm”
Lecture 11
Networks – Shortest Path Problem II
Play Video		 Networks – Shortest Path Problem II
Lecture 11 (2014-02-26)
Networks – Shortest Path Problem

Study recommendation: Read “A Solution Method: Routing Through Networks: Read Chelst and Edwards (C&E) pp. 1-12”, and lecture notes.
Keywords to remember: “network representation”, “algorithm”
Lecture 12
Traveling Salesman Problem I
Play Video		 Traveling Salesman Problem I
Lecture 12 (2014-02-27)
Traveling Salesman Problem

Study recommendation: Read C&E pp. 13-24, lecture notes.
Keywords to remember: “optimization”, “computational order of an algorithm”, “NP Hard”, “heuristics"
Lecture 13
Traveling Salesman Problem II
Play Video		 Traveling Salesman Problem II
Lecture 13 (2014-02-27)
Traveling Salesman Problem

Study recommendation: Read C&E pp. 13-24, lecture notes
Keywords to remember: “optimization”, “computational order of an algorithm”, “NP Hard”, “heuristics
Lecture 14
Video: Inside a Factory
Play Video		 Video: Inside a Factory
Lecture 14 (2014-03-12)
A Manufacturing System - Video: Inside a Factory

Keywords to remember: "schedule", "layout", make-to-order", "assembly", "quality control", "teamwork", "logistics"
Lecture 15
A Manufacturing System
Play Video		 A Manufacturing System
Lecture 15 (2014-03-12)
A Manufacturing System

Keywords to remember: “schedule”, “layout”, “make-to-order”, “assembly”, “quality control”, “teamwork”, “logistics”
Lecture 16
A Manufacturing System: Assignment Problem
Play Video		 A Manufacturing System: Assignment Problem
Lecture 16 (2014-03-13)
A Manufacturing System - Assignment Problem

Keywords to remember: “optimization”, “lower bound”, “structural properties”
Lecture 17
Wrap-up: Networks
Play Video		 Wrap-up: Networks
Lecture 17 (2014-03-19)
Wrap-up: Networks

Keywords to remember: “Performance Measure”, “effectiveness measures”, “efficiency measures”, “motivation for measuring performance”, types of measurement”, “how to measure”, “hierarchy of measures”
Lecture 18
Performance Measure and How to Measure
Play Video		 Performance Measure and How to Measure
Lecture 18 (2014-03-19)
Performance Measure and How to Measure.

Keywords to remember: “Performance Measure”, “effectiveness measures”, “efficiency measures”, “motivation for measuring performance”, types of measurement”, “how to measure”, “hierarchy of measures”
Lecture 19
Definition of
Play Video		 Definition of "decision" and relation to performance measure
Lecture 19 (2014-03-20)
Definition of "decision"; relation to performance measure. Example case

Keywords to remember: “Performance Measure”, “decision”, “decision-maker”, “problem owner”
Lecture 20
Framework for decision making under multiple criteria I
Play Video		 Framework for decision making under multiple criteria I
Lecture 20 (2014-03-26)
A Framework for decision making under multiple criteria

Keywords to remember: “Set of Alternatives”, “a set of criteria (same as set of measure or a composite measure)”, “scaling”, “data collection”, rescaling”, “weighing – assigning relative importance”, “decision process”, “cost/time trade-off in measuring”.
Lecture 21
Framework for decision making under multiple criteria II
Play Video		 Framework for decision making under multiple criteria II
Lecture 21 (2014-03-26)
A Framework for decision making under multiple criteria

Keywords to remember: “Set of Alternatives”, “a set of criteria (same as set of measure or a composite measure)”, “scaling”, “data collection”, rescaling”, “weighing – assigning relative importance”, “decision process”, “cost/time trade-off in measuring”
Lecture 22
Decision Trees
Play Video		 Decision Trees
Lecture 22 (2014-03-27)
Decision Trees

Keywords to remember: “decision trees”, “chance node”, "multi-stage decisions"
Lecture 23
Critical Thinking and Issues in Information Gathering
Play Video		 Critical Thinking and Issues in Information Gathering
Lecture 23 (2014-04-02)
Critical Thinking: Definition; activities of critical thinking; issues in information gathering; examples

Keywords to remember: “critical thinking”, “activities of critical thinking” “Verbal mapping”, “information source”, “traps (irrelevant argument, false analogy, etc.)”
Lecture 24
Issues in Information Gathering: Examples
Play Video		 Issues in Information Gathering: Examples
Lecture 24 (2014-04-02)
Critical Thinking: Definition; activities of critical thinking; issues in information gathering; examples

Keywords to remember: “critical thinking”, “activities of critical thinking” “Verbal mapping”, “information source”, “traps (irrelevant argument, false analogy, etc.)”
Lecture 25
Systems Thinking: Definitions and Examples I
Play Video		 Systems Thinking: Definitions and Examples I
Lecture 25 (2014-04-03)
Systems Thinking: Definitions and examples

Keywords to remember: “critical thinking”, “activities of critical thinking” “rational judgments”, “decision process”, “mathematical representation”, “mathematical representation”, “systems thinking”.
Lecture 26
Systems Thinking: Definitions and Examples II
Play Video		 Systems Thinking: Definitions and Examples II
Lecture 26 (2014-04-03)
Systems Thinking: Definitions and examples

Keywords to remember: “critical thinking”, “activities of critical thinking” “rational judgments”, “decision process”, “mathematical representation”, “mathematical representation”, “systems thinking”.
Lecture 27
Queuing Theory: Waiting Lines I
Play Video		 Queuing Theory: Waiting Lines I
Lecture 27 (2014-04-09)
Queuing Theory: Under this title, we will analyze waiting lines

Keywords to remember: “randomness”, “arrivals”, “service”, “traffic intensity”, “expected number in the system”, “expected waiting time”, “exponential distribution”, “Little’s Law”
Lecture 28
Queuing Theory: Waiting Lines II
Play Video		 Queuing Theory: Waiting Lines II
Lecture 28 (2014-04-09)
Queuing Theory: Under this title, we will analyze waiting lines

Keywords to remember: “randomness”, “arrivals”, “service”, “traffic intensity”, “expected number in the system”, “expected waiting time”, “exponential distribution”, “Little’s Law”
Lecture 29
Queuing Theory: Waiting Lines III
Play Video		 Queuing Theory: Waiting Lines III
Lecture 29 (2014-04-11)
Queuing Theory: Under this title, we will analyze waiting lines

Keywords to remember: “randomness”, “arrivals”, “service”, “traffic intensity”, “expected number in the system”, “expected waiting time”, “exponential distribution”, “Little’s Law”
Lecture 30
Simulations and Probabilities
Play Video		 Simulations and Probabilities
Lecture 30 (2014-04-24)
Simulation, probabilities.
Keywords to remember: “developing models for randomness”, “simulation”, “statistics”, “simulation model – representation of reality”, “simulation is an evaluative model”, “probability”, “probability mass function(pmf)”, “expected value”
Lecture 31
Mathematical Modeling Example: Linear Programming I
Play Video		 Mathematical Modeling Example: Linear Programming I
Lecture 31 (2014-05-07)
Mathematical modeling example: Linear Programming

Keywords to remember: “decision variable”, “performance measure”, “objective function”, “constraint”, “mapping descriptions into symbols – mathematical modeling – formulating the problem”, “feasible region”, “characterization of an optimal solution: corner point – extreme point”
Lecture 32
Mathematical Modeling Example: Linear Programming II
Play Video		 Mathematical Modeling Example: Linear Programming II
Lecture 32 (2014-05-07)
Mathematical modeling example: Linear Programming

Keywords to remember: “decision variable”, “performance measure”, “objective function”, “constraint”, “mapping descriptions into symbols – mathematical modeling – formulating the problem”, “feasible region”, “characterization of an optimal solution: corner point – extreme point”
Lecture 33
Definition of IE and Methodology of IE I
Play Video		 Definition of IE and Methodology of IE I
Lecture 33 (2014-05-14)
Wrap-up: Video: Big Bang Theory – Definition of IE, Methodology of IE, IE Curriculum at Bilkent University.

Study recommendation: Bilkent IE WEB page, Comments on Exam 2, Lecture Notes Keywords to remember: All keywords considered previously
Lecture 34
Definition of IE and Methodology of IE II
Play Video		 Definition of IE and Methodology of IE II
Lecture 34 (2014-05-15)
Wrap-up: Video: Definition of IE, Methodology of IE, IE Curriculum at Bilkent University.

Study recommendation: Bilkent IE WEB page, Comments on Exam 2, Lecture Notes Keywords to remember: All keywords considered previously