Supply Chain Management 366 Supply Chain Modeling

Spring, 2015

Instructor: Phil Fry Office: MBEB 3237 Office Phone: 426-4276 Email: pfry@boisestate.edu Office Hours: Monday 12:00-1:30 until March 1. Monday 3:40-4:30. Wednesday: 10:00-12:00 and 3:40 -4:30. Other times by appointment. Course Website: http://blackboard.boisestate.edu

Prerequisite: SCM 345 or equivalent Course Resources: The Operations Management Customized Textbook for SCM 366 from McGraw-Hill (available at the BSU bookstore). . Course Overview & Objectives: This course is an introduction to supply chain modeling. The course will focus on solving supply chain and operations issues with models created using an electronic spreadsheet. The focus of the course is on formulating and solving operations and supply chain management decisions. Students who successfully complete this course will be able to:

1. Formulate spreadsheet models for supply chain inventory and ordering decisions. 2. Formulate and solve linear optimization models related to production planning, resource

allocation, and transportation and distribution decisions. 3. Perform sensitivity and what-if analysis for model solutions. 4. Formulate network optimization models to support facility location and capacity

allocation decisions. 5. Solve network optimization models to support facility location and capacity allocation

decisions. 6. Incorporate “Go- No Go” decisions, “Either-Or” constraints, and other contingent

constraints using binary integer programming. 7. Solve binary integer programming models. 8. Formulate decision models, which incorporate demand uncertainty, to determine optimal

ordering decisions in a make to stock environment. 9. Understand the relationship between item forecasting and inventory replenishment in a

make to stock environment. 10. Formulate and solve models for managing reactive production and supplier capacity. 11. Understand how and under what conditions revenue management can be an effective tool

for matching supply and demand in the supply chain. 12. Formulate and solve revenue management models & describe the tradeoffs that must be

considered when making revenue management decisions. 13. Develop, run, and analyze spreadsheet simulation models. 14. Prepare reports and summaries for management decision-making.

Grading Scale: Semester grades will be assigned using the following scale:

Total Points

Final Grade

> = 450 A 440 A - 430 B + 400 B 390 B - 380 C + 350 C 340 C - 330 D + 300 D 290 D -

< = 289 F Key Dates to Remember:

January 26th March 20th

Last day to register/add or drop w/o a “W” Last day to drop classes with a W or completely withdraw from regular session.

March 23rd – March 27th Spring Vacation May 1st

May 4th-8th Last Day of Classroom Instruction

Final Examinations Class Final Scheduled for May 4th 10:00-12:00

Students in this class will learn or practice the following COBE Core Curriculum concepts, methods, and skills:

1. Understand and apply analytical and disciplinary concepts and methods related to business and economics:

1.5. Information Technology Management

1.10. Mathematics & Statistics

1.11. Supply Chain Management

2.1. Communicate effectively: Write messages and documents that are clear, concise, and compelling

2.2. Communicate effectively: Give oral presentations that use effective content, organization, and delivery

3. Solve problems, including unstructured problems, related to business and economics

4. Use effective teamwork and collaboration skills

5. Resolve ethical issues related to business and economics

Course Outline: This is a tentative course outline. Changes to the following course outline may occur if scheduling conflicts arise or if such changes are necessary to enhance topic coverage or to improve the flow of the course. Changes will be posted on Blackboard. Please check Blackboard daily for updates.

Class Date Topic Reading Course Objective

1/12 Course Overview & Introduction to Spreadsheet Modeling. Developing a Spreadsheet Model.

Sensitivity and What-If Analysis

1

1/19 ML King Official Class Holiday 1/26 Introduction to Spreadsheet Modeling & Modeling

Insights. LP Formulations & Applications Chapters 2,3 & 4

2

2/2 LP Formulations, Applications & Modeling Chapters 3

& 4 2

2/9 LP Modeling & Sensitivity Analysis Chapters 5 2,3 2/16 President’s Day Official Class Holiday 2/23 Network Optimization Chapter 6 4,5 3/2 Network Optimization Modeling Chapter 6 4, 5 3/9 Modeling Binary Decisions & Constraints Chapter 7 4, 5, 14 3/16 Betting on Uncertain Demand. The News Vendor

Model. Chapter 11 8, 9

3/23 Spring Break 3/30 Betting on Uncertain Demand & Quick Response

with Reactive Capacity Chapters

11,12 8, 9,14

4/6 Revenue Management with Capacity Controls Chapter 15 11,12 4/13 Revenue Management with Capacity Controls Chapter 15 11, 12 4/20 Spreadsheet Simulation 11, 12,14 4/27 Spreadsheet Simulation & Course Wrap Up 11,12

Assignments: While it is the intent to require all of the assignments listed below modifications may be required due to schedule changes, topic coverage modifications, and/or other unexpected events. Therefore, this is a tentative list of assignments. Actual assignments and due dates will be announced in class and posted on Blackboard. Please check Blackboard often for updates and changes.

Problem Sets, Case Assignments, & Final Examination

Assignment Value Course Objectives

Inventory Modeling Assignment 20 1 2.9 (Part A only) 10 2

2.10 (Parts A, B & C) 10 2 Case 2-1 30 2,14

3.5 (Parts B & D) 10 2

3.19 (Part A only) 10 1, 2 3.21 (Part A only) 10 1, 2

3.28 10 1, 2

4.S1 10 1, 2 4.S2 10 1, 2

5.1 (Parts A, B, C, E, & G) 10 3

6.1 10 4, 5 6.2 10 4, 5 6.3 10 4, 5

Case: Manufacturing & Distribution at Green Grass

30 4,5

7.14 10 6, 7 7.15 10 6, 7

11.3 10 8, 9 11.6 10 8, 9 11.10 10 8, 9

LL Bean Item Forecasting & Replenishment Case 30 9, 14

12.2 10 10

15.5 10 11, 12, 13 15.6 10 11, 12, 13

Revenue Management in a Supply Chain 20 11, 12, 13

Spreadsheet Simulation Assignment I 10 13, 14 Spreadsheet Simulation Assignment II 10 13, 14 Spreadsheet Simulation Assignment III 20 13, 14

Final Examination 130 1-14

TOTAL POSSIBLE 500