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Syllabus for: AGSY 375 Intro to Agricultural Systems

Spring 2004

Instructor:     
W. David Shoup
Professor of Agricultural and Biosystems Engineering, Electrical and Computer Engineering
Public Policy. Southern Illinois University Carbondale. 
BS, MS, Ph. D.  Purdue University. 
Phone:  618.536-2333.
Cell: 618.203.4080. 
FAX:  618.453.7800 
Email:  dshoup@siu.edu
Office: 116 Public Policy Institute,
           Mailcode 4429, Carbondale,IL 
           62901-4429. 
Office Hours: T,Th 7:30am-11:30 am.  Email anytime. 

Meeting Time and Place:  Evansville: Room 116 Kluthe Center from 7:00-9:40 PM on Tuesdays beginning January 13th.  Carbondale course meets Tuesdays and Thursdays from 1:00-2:15 in Agriculture 144. 

Course Objectives:  This course introduces tools of technical management that aid in decision making when managing an agricultural system.  Students should be able to: 

  • Define, plan, and analyze agricultural systems
  • Understand the key forces that affect management of agricultural systems
  • Utilize various efficiency formulas to estimate horsepower and fuel needs
  • Utilize various planning formulas to estimate capacity and efficiency of field and plant operations
  • Analyze and conduct systems reliability estimates
  • Calculate human reliability and attain acceptable systems reliability by planning redundancy
  • Understand basic principle of ergonomics in planning a systems
  • Understand and calculate estimates of waiting line analysis in ag. Systems
  • Be able to utilize several scheduling techniques
  • Be able to perform basic costing procedures
  • Understand basic principles of inventory control
  • Linear programming as a tool in planning
  • Understand and apply basic principles in planning layouts of farm and manufacturing facilities
  • Understand basics in environmental planning
  • Relate to new technologies coming during this decade

 

Texts and References:  You will need to purchase a copy of:  Agricultural Systems Management: Optimizing Efficiency and Performance by Peart and Shoup.  2004 Marcel Dekker, New York, NY.   

Other references: 
A Brief Introduction to Agricultural Systems Management. 
W. D. Shoup and J. W. Mishoe. 1994.  STM&S Publishing.  Tucson, Arizona. 
Machinery Management. 
Wendell Bowers. 1992.  Deere and Company.  Moline, Illinois. 
Operations and Systems Management for Agriculture. 
W. D. Shoup.  1995.  STM&S Publishing.  Tucson, Arizona. 

Prerequisites:  Consent of Instructor, basic email and computer skills 

Assignments and Grading:  This course will have ten short assignments, a mid-term exam, and a second half exam.  There will also be five special course readings for which written summaries are required.  The weighting of the course grade is as follows:

 

            Class Attendance                      15 @  10 points each               150 points

            Assignments                             10 @  25 points each               250 points

            Special Reading summaries         5 @  15 points each                 75 points

            Exams                                        2 @ 100 points each              200 points

            Course Notebook compilation                                                  25 points

          Point Total                                                                              700 points

 

Grading Scale: 

            A                     90%+

            B                     80%+

            C                     70%+

            D                     60%+

 

Attendance, Late Assignment, and Tardy Policies:  Attendance at all sessions is mandatory.  One miss is allowed without penalty.  Save it for when you may need it.  You should strive to be in a seat a few minutes before class time.  Ten points are awarded for your attendance and timeliness as long as you are not more than 15 minutes late for a session.  Assignments are due at the beginning of class.  There is a 5% deduction per day for late turn-ins and turn-ins after graded returns will receive a maximum of 50%. 

Quality of work Policy:  All assignments should be word processed, include graphics as appropriate, and include a cover page as follows:

             Title of Assignment

            Name

            Date

            Two line summary of assignment

Be sure to run a spell-check, but do not rely on it.  All problem sets should show complete work or steps and labeling of units to receive full credit in grading.  You should attain a large 3-ring notebook.  The notebook should be divided into 15 sections (one per session) and contained your class notes, returned assignments, and handouts.  Purchase and bring to each class a scientific calculator. 

ADA Policy:  The instructor complies and encourages students with approved  special needs to gain permission for special accommodations as allowed by the Americans with Disability Act. 

Other University Class Policies:  All students are expected to accomplish and perform their own work individually unless expressed specifically by the instructor to perform otherwise.  When utilizing phrases, graphs, etc. of others, you must cite these properly and give credit to the authors.  Students are encouraged to review academic policies regarding conduct, honesty, and rights and privileges as stated in the SIUC Undergraduate Catalog 2002-2003. 

Graduate Credit:  Students enrolled for graduate credit will have additional assignments.  Graduate students should identify themselves and meet with Dr. Shoup regarding assignments to attain graduate level. 

About Your Instructor:  Dr. W. David Shoup grew up on an Indiana crop/livestock farm, attained three degrees from Purdue University’s Agricultural Engineering Department, and also attended Michigan State University and the University of Florida.  He held various management positions for Tenneco Corporation including:  District Manager, 4WD product manager, Assistant Branch manager, and Chief Information Officer for the J. I. Case Company.  Dr. Shoup’s career has included academic professorships at University of Florida, University of Arizona, University of Tennessee, and Southern Illinois University.  He has performed research and consulting for many companies and government projects.  Among his awards and honors are the Paul Harris Fellow, Wakonse Teaching Fellow, and UT Outstanding Scholar.

Spring 2004 Course Outline*

Week of: 

1-13     Course overview, sign-ups, careers in Ag. Systems
            Defining Agricultural Systems Management
            Seven factors affecting technical management decisions
            Criteria for managing and evaluating agricultural systems
            14 technical management parameters 

1-20     Official MLK Holiday Recognition- Special Reading no class meeting* Carbondale class will meet on Thursday.* 

1-27     Concepts of Reliability as a system evaluation tool
             Series reliability
             Parallel reliability
            On-farm applications
             Processing and manufacturing applications- Potato chip processing/mulch bagging/agrichemical manufacturing
             Reliability of humans in the systems/role of people as “backups” 

2-3       Human Factors and Ergonomics
            Management goals in farming and processing
            How humans process information/ how to optimize the human in the system
            Integrating computers, automation, and robotics 

2-10     Evaluating Systems Efficiencies
            Field capacities and field efficiency calculations
            Cycle times and efficiencies in construction
            Efficiency evaluation in plant processing environments 

2-17     Queueing theory and its applications in agricultural systems planning
            Estimating horsepower requirements and tractive efficiencies 

2-24     Inventory management 

3-2       Exam I,  Safety in processing and OSHA regulations 

3-8       Spring Break at SIUC-no class 

3-16     Principles in facilities layout and management
            On-farm
            Manufacturing and processing
            Planning factors 

3-23     Scheduling techniques
            Gantt charts
            CPM (critical path method)/ PERT           

3-30     Linear programming uses
            Estimating costs
            Fixed costs
            Variable costs/repair costs/Total costs
            Basics of Excel use 

4-06     Break-Even costs
            Engineering economy models/time value of money 

4-13     The very basics of statistics as tools of management 

4-20     Principles of Packaging

4-29     Food Packaging and Processing

5-04     Exam

*  Instructor reserves right to alter outline and material for flexibility

 

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