Welcome to Wood 330 – Industrial Engineering.

Course syllabus-Wood 330-2017

Instructor:          Dr. Taraneh Sowlati

Contact Info:     I have an open door policy and would be happy to help students outside the classroom. My contact info:

Room: FSC 2931

Telephone: 604-822-6109

E-mail: taraneh.sowlati@ubc.ca

Useful books and references:

• Heizer, J. Render, B. Operations Management. Canadian Edition. Pearson. 2014.
• Russell, R.S., Taylor III, B.W., Operations Management, Fourth Edition, Prentice Hall. 2003.
• Winston, W.L., Operations Research: Applications and Algorithms, Third Edition, ITP, 1994.
• Meyers, F.D., Stephens. M.P. Manufacturing Facilities Design and Material Handling. Second Edition. Prentice Hall. 2000.
• Dykstra, D.P. Mathematical Programming for Natural Resource Management. McGraw-Hill. 1984.
• Turner, W.C. Mize, J.H., Case, K.E. Nazemetz, J.W. Introduction to Industrial and Systems Engineering. Third Edition. Prentice Hall. 1993.
• Miller, D. M., Schmidt, J.W. Industrial Engineering and Operations Research. John Wiley and Sons 1984.
• Williams, H.P. Model Building in Mathematical Programming. Fifth Edition. Wiley. 2013. UBC Library Electronic Resource.
• Baker, K. R. Optimization Modeling with Spreadsheets. Second Edition. Wiley. 2011. UBC Library Electronic Resource.

Lectures:         Tuesday and Thursday 9:00-10:30     FSC 2964

Lab:                Thursday 10:30-12:30 FSC 2964 and CAWP computer lab

Teaching Assistants:  Evelyn Gao, Room : FSC 2943, Email: evelyn.gao@alumni.ubc.ca

Shaghaygh Akhtari, Room: FSC 2943, Email: sakhtari@mail.ubc.ca

Krishna Malladi,  Room: FSC 2943, Email: kmalladi@alumni.ubc.ca

Dengcheng Feng, Email : fdc1995@mail.ubc.ca

COURSE DESCRIPTION

Rationale

The emphasis of the Wood Products Processing Program is on producing graduates who perform confidently in a manufacturing setting, recognize the demands of the marketplace and develop designs and plans to produce a product in a safe, efficient and cost effective manner.

Industrial Engineering (IE) is concerned with the design, installation and improvement of integrated systems of people, materials and equipment in all sectors based on mathematics, physics, social sciences, and principles of engineering. It provides a systematic approach to determine the most effective ways for an organization to use resources, make work safer, easier and faster, increase quality and customer service, etc. that ultimately improves competitiveness and increases profitability.  Therefore, it is essential for students in the Wood Products Processing Program to be familiar with IE methods and techniques.

Objectives

This course provides an introduction to the methods and techniques used in Industrial Engineering. The objectives of the course are:

• To provide students with the understanding of Industrial Engineering methods and techniques to improve efficiency, productivity and competitive position of an organization.
• To provide students with the knowledge of real-life situations relative to the concept and systems learned.

Learning outcomes

Upon successful completion of this course, the student will be able to:

• describe industrial engineering and industrial engineers  activities
• describe why a model is used, types of models, the modeling process and guidelines in developing models
• classify products and processes, describe the characteristics of each
• delineate the importance of supply chains and the bullwhip effect, supply chain management, forest products supply chains and different decision making levels
• describe standard time, its importance in production planning, and employ a stop watch to calculate the standard time of a job
• define different types of inventory, different costs associated with keeping inventory, different inventory management systems, and calculate the optimum order quantity
• describe Monte Carlo simulation and the steps to take to develop a simulation model, develop and run Monte Carlo simulation models for inventory analysis with variable demand and variable lead time

• develop Linear Programming models to solve problems, use Excel Solver to solve them, and perform sensitivity analysis to evaluate the impact of changes in parameters on the optimum solution

Course organisation

There will be a mid-term and a final examination based on the material presented in the course, including the readings, presentations and class discussions. To pass the course, students need to pass the final exam, in case they fail the final exam, their course mark will be the same as their final exam mark. All the lecture notes are available for downloading from https://wood330.forestry.ubc.ca (note that attachments to the notes are not available for downloading). This will save you most of the note taking, but will require that you take an active part in the classroom dialogue.

Class participation

In order to succeed in this course, students need to be actively engaged in class discussions and activities, and facilitate the learning of others. Class attendance is mandatory.

Weekly labs

A variety of different activities such as field trips, assignments, and presentations will be done in the labs. Lecture and lab times will be used interchangeably. Assignments will be done in groups (group of two students) and each week students have to work with a different partner.

 Field trips

We will have four field trips to wood manufacturing facilities in the Lower Mainland. All students must attend the field trips.

 Time study project

Students will work in pairs on time study measurement using a stopwatch in the CAWP machine lab, and submit a report before the specified deadline. A short document describing the project will be handed out to students and will be explained in the class.

Presentations

Students will work in pairs, pick an area related to the course material from the given list, search and read relevant references, prepare a presentation and present it in the class. Groups and topics will be chosen on the first lab.

Assignments

Students will work individually on assignments on inventory management, Monte Carlo simulation and Linear Programming, use Excel to solve the problems, and submit their files to TAs before the deadline.

Late submission policy

Please note that late submission of assignments before the solutions are posted will be subject to 30% penalty, submission after the solutions are posted are not possible.

 Grading

Tentative schedule – 2017