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Viewing: ISE 562/OR 562/TE 562 : Simulation Modeling

Last approved: Sat, 01 Oct 2016 08:01:24 GMT

Last edit: Sat, 01 Oct 2016 08:01:24 GMT

Change Type
Major
ISE (Industrial and Systems Engineering)
562
032376
Dual-Level Course
No
Cross-listed Course
Yes
Course Prefix:
TE
OR
Simulation Modeling
Simulation Modeling
College of Engineering
Fitts Department Industrial & Systems Engineering (14IE)
Term Offering
Spring Only
Offered Every Year
Spring 2017
Previously taught as Special Topics?
Yes
5
 
Course Prefix/NumberSemester/Term OfferedEnrollment
ISE589/TE589/OR591Spring 201131
ISE589/TE589/OR591Spring 201229
ISE589/TE589/OR591Spring 201322
ISE589/TE589/OR591Spring 201419
ISE589/TE589/OR591Spring 2015 - DE Only14
ISE589/TE589/OR591Spring 201630
Course Delivery
Face-to-Face (On Campus)
Distance Education (DELTA)
Online (Internet)

Grading Method
Graded/Audit
3
16
Contact Hours
(Per Week)
Component TypeContact Hours
Lecture3
Course Attribute(s)


If your course includes any of the following competencies, check all that apply.
University Competencies

Course Is Repeatable for Credit
No
 
 
Stephen Roberts
Professor
Full

Open when course_delivery = campus OR course_delivery = blended OR course_delivery = flip
Enrollment ComponentPer SemesterPer SectionMultiple Sections?Comments
Lecture3030NoN/A
Open when course_delivery = distance OR course_delivery = online OR course_delivery = remote
Delivery FormatPer SemesterPer SectionMultiple Sections?Comments
LEC1010NoN/A

Is the course required or an elective for a Curriculum?
No
This course concentrates on design, construction, and use of discrete/continuous simulation object-based models employing the SIMIO software, with application to manufacturing, service, and healthcare. The focus is on methods for modeling and analyzing complex problems using simulation objects. Analysis includes data-based modeling, process design, input modeling, output analysis, and the use of 3D animation with other graphical displays. Object-oriented modeling is used to extend models and enhance re-usability.

Simulation modeling is not covered as a single course topic, but is incorporated in others which typically include analytic treatments of input, processes, and output.  This course aims to fill that need by providing a language-based course for multi-method simulation modeling.  The course incorporates traditional symbolic-based simulation modeling within the context of object-oriented structures using methods to employ existing objects and/or to create new objects in discrete and continuous environment.  Emphasis is on the creation and development of the simulation model.


No

Is this a GEP Course?
GEP Categories

Humanities Open when gep_category = HUM
Each course in the Humanities category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Mathematical Sciences Open when gep_category = MATH
Each course in the Mathematial Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Natural Sciences Open when gep_category = NATSCI
Each course in the Natural Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Social Sciences Open when gep_category = SOCSCI
Each course in the Social Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Interdisciplinary Perspectives Open when gep_category = INTERDISC
Each course in the Interdisciplinary Perspectives category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Visual & Performing Arts Open when gep_category = VPA
Each course in the Visual and Performing Arts category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Health and Exercise Studies Open when gep_category = HES
Each course in the Health and Exercise Studies category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
&
 

 
 

 
 

 
 

Global Knowledge Open when gep_category = GLOBAL
Each course in the Global Knowledge category of the General Education Program will provide instruction and guidance that help students to achieve objective #1 plus at least one of objectives 2, 3, and 4:
 
 

 
 

 
Please complete at least 1 of the following student objectives.
 

 
 

 
 

 
 

 
 

 
 

US Diversity Open when gep_category = USDIV
Each course in the US Diversity category of the General Education Program will provide instruction and guidance that help students to achieve at least 2 of the following objectives:
Please complete at least 2 of the following student objectives.
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Requisites and Scheduling
 
a. If seats are restricted, describe the restrictions being applied.
 

 
b. Is this restriction listed in the course catalog description for the course?
 

 
List all course pre-requisites, co-requisites, and restrictive statements (ex: Jr standing; Chemistry majors only). If none, state none.
 

 
List any discipline specific background or skills that a student is expected to have prior to taking this course. If none, state none. (ex: ability to analyze historical text; prepare a lesson plan)
 

Additional Information
Complete the following 3 questions or attach a syllabus that includes this information. If a 400-level or dual level course, a syllabus is required.
 
Title and author of any required text or publications.
 

 
Major topics to be covered and required readings including laboratory and studio topics.
 

 
List any required field trips, out of class activities, and/or guest speakers.
 

College(s)Contact NameStatement Summary
College of SciencesHoward BondellI looked at the proposal, and it is not an issue for Statistics. The course is very specific in designing simulations of systems and processes in ISE. They will use basic probability and statistics to analyze these simulated processes, but it is not a course that would overlap our subject matter.
Currently Stephen D. Roberts (ISE) and Jeffrey A. Joines (TE) have been co-teaching this class the past 5 years (once per year) as part of their regular teaching and therefore no new resources are required.

  • Methods for modeling and analyzing problems with simulation.

  • Animation of simulation processes

  • Modeling with simulation objects

  • Creating re-usable models and model components

  • Limited continuous/discrete simulation modeling

  • Graphical display and output representation

  • Simulation alternative subset selection and ranking and selection

  • Simulation Optimization

  • Case Studies


Student Learning Outcomes

By the end of the semester, the students will be able to:



  • Distinguish and contrast different simulation modeling techniques

  • Design and develop simulation models to solve complex problems

  • Analyze systems (e.g., manufacturing, supply chain, and service) using simulation models

  • Evaluate and choose best alternatives using subset selection, ranking and selection, and optimization

  • Design new simulation objects using object-oriented techniques of composition and inheritance


Evaluation MethodWeighting/Points for EachDetails
Homework15Roughly due fortnightly (5-6 assignments
Multiple exams45Three Semester Exams (15%, 15%, 15%)
Final Exam20Comprehensive Exam
Project15Simulation Project of a system is performed via a team of students
Other5Inclass lab assignments/pop quizzes are used to keep students engaged and on track.
TopicTime Devoted to Each TopicActivity
Introduction1 periodintroduction to simulation and SIMIO
Elemental Simulation Modeling2 periodsSimulation Objects, paths, arrivals, variables, properties, branching, work schedules
Data-Based Modeling2 periodsData tables, setting capacities, sequences, processing times, relational tables, statistics
Process Simulation2 periodsassembly, packaging, add-on processes, re-usable processes, tokens, tokenized processes
Flow and Capacity2 periodsServer configuration, resources requirements, failures, parallel servers, condensed waiting, parallel service, appointments, replication length
Workstations, Inventory, Supply Chains3 periodsSequence-dependent setups, materials management, just-in-time supply, inventory control, supply chains
Simulation Optimization and Output Analysis2 periodssolution ranking and selection, optimization, terminating systems analysis, steady-state systems and analysis
Materials Handling and Input Analysis2 periodsfixed path and free range vehicles, conveyors, input models and input sensitivity analysis
Resource Management and Mobile resources4 periodsResource needs, resource decision making, allocation of resources, workers, multiple workers, zero-time events, resource reservations, tasks, task sequences
Service Center Optimization1 periodbalking, reneging, cost optimizations
Object composition2 periodsanatomy of objects, sub-classing to create new objects
New Object creation2 periodsinheritance hierarchy, inheritance, new object development, assignments, add-on processes, resources, queuing
Continuous Simulations1 periodsContinuous Variables, Reneging, Interrupting, flow library
Simulation Application/Project Work2 periodsMore extensive simulation projects requiring new objects and applicatio9ns
mlnosbis 8/29/2016: Fully approved by College of Engineering and College of Textiles. No further consultation is required. Possible consultation with Sciences (Jo-Ann Cohen)?

ghodge 8/29/2016 No other consultation needed. Ready for ABGS reviewers.

8/31/2016: Consultation from Sciences noted above.

ABGS Reviewer Comments:
-No concerns
xzhang13 (Fri, 13 Nov 2015 00:33:24 GMT): The course has been co-taught successfully by Jeffrey A. Joines (TE) and Stephen D. Roberts (ISE) afor the past 5 years. No new resources are required.
Key: 8338