St. Ambrose University – Davenport
518 W. Locust St.
Davenport, IA 52803
Admissions Office
admit@sau.edu
(319) 383-8800, 333-6300 or 800-383-2627
www.sau.edu
Courses:
Operational Planning, Scheduling and Control (engineering)
Addresses those activities in an organization that are directly
related to producing goods or providing services. Planning, execution
and control of functions are examined. The focus is on organizational
processes in which people, capital and material (inputs) are combined
to produce services and goods (outputs). Such processes may be
found in banks, factories, stores, hospitals, etc. Subjects include
forecasting, capacity planning, operations design, scheduling
and quality control. Prerequisites: IE 300 (co-requisite) and
295, or industry experience.
Operations Management (graduate course in the MBA program)
Quantitative techniques and the systems approach applied to understanding
and improving the operations of both manufacturing and service
organizations. Techniques from quality, learning, forecasting,
process design, scheduling, waiting lines, inventory and MRP are
utilized. Underlying principles such as tradeoff analysis, Pareto,
process control, and optimization of resource usage are emphasized
throughout. The objective is for the student to understand how
organizations actually achieve results and how to identify opportunities
to improve their operation. Production Scheduling and Inventory
Control
Production Scheduling and Inventory Control (graduate course
in the MBA program)
The objective of this course is to present concepts of optimization
and integration of marketing, forecasting, production scheduling
and manufacturing in order to develop the interrelationships of
these functions. The various types of inventories such as raw
materials, work in process, and finished goods, will be reviewed.
The effect of scheduling and inventory management on order-fill
ratios, cash flow, profitability, staffing requirements, and maintenance
and facility planning, will be considered. Course topics will
include production systems, inventory models, process equipment
layout, plant design and location, capacity analysis, inventory
management, systems, and just-in-time production.