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IS 3660 Final Exam Study Guide (200+ Questions): Supply Chain Management, Forecasting, Inventory Models, Lean Operations & Quality Management

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Prepare for the Ohio University OIS 3660 Final Exam with this comprehensive study guide featuring 200+ expertly verified exam questions and answers covering the essential concepts of operations and information systems, supply chain management, forecasting, inventory management, lean operations, quality management, and process improvement. This resource provides an in-depth review of double marginalization, integrated supply chains, the Bullwhip Effect, TIRP principles, demand forecasting, trend analysis, seasonality, regression analysis, forecasting accuracy (MAD, MSE, MAPE), Newsvendor models, Economic Order Quantity (EOQ), Reorder Point (ROP), safety stock calculations, service levels, inventory optimization, lean manufacturing, takt time, Little's Law, process flow, mass customization, postponement, preponement, fan-out points, push-pull boundaries, statistical process control (SPC), process capability (Cp and Cpk), Six Sigma concepts, and quality improvement methodologies. The structured question-and-answer format reinforces quantitative problem-solving, strengthens analytical thinking, and prepares students for final examinations, quizzes, and business analytics assessments. This study guide also provides extensive coverage of operations strategy and supply chain decision-making, including inventory classification, lead time analysis, overbooking models, underage and overage costs, transportation waste, lean management principles, standard operating procedures (SOPs), process variability reduction, capacity planning, throughput optimization, work-in-process (WIP) limits, product-process matrix analysis, mass customization strategies, demand aggregation, risk pooling, statistical quality control, x-bar and R control charts, process capability analysis, Taguchi quality loss function, conformance quality, production scheduling, operational efficiency, and supply chain profitability. Practical quantitative exercises involving EOQ calculations, reorder point determination, regression forecasting, Newsvendor optimization, process capability calculations, inventory cost analysis, and forecasting models make this guide especially valuable for mastering operations management concepts commonly assessed in undergraduate business and operations management courses. This resource aligns with Operations and Information Systems curricula and serves as an excellent review tool for final examinations and business analytics coursework. Reference (APA 7th Edition) Cachon, G. P., & Terwiesch, C. (2024). Matching Supply with Demand: An Introduction to Operations Management (5th ed.). McGraw Hill. Heizer, J., Render, B., & Munson, C. (2024). Operations Management: Sustainability and Supply Chain Management (15th ed.). Pearson. Relevant Students: Ohio University OIS 3660 students, Operations Management students, Supply Chain Management students, Business Analytics students, Information Systems students, Logistics students, Industrial Engineering students, Operations Research students, Business Administration students, Management students, MBA students, Undergraduate Business students, and students preparing for operations management, supply chain, forecasting, and quality management examinations. Keywords: OIS 3660, OIS3660, Ohio University, OIS 3660 Final Exam, Operations Management, Supply Chain Management, Supply Chain Analytics, Operations and Information Systems, Forecasting, Demand Forecasting, Regression Analysis, Trend Analysis, Seasonality, MAD, MSE, MAPE, Bullwhip Effect, Double Marginalization, Integrated Supply Chain, TIRP, Inventory Management, EOQ, Economic Order Quantity, Reorder Point, ROP, Safety Stock, Service Level, Newsvendor Model, Overage Cost, Underage Cost, Inventory Optimization, Lean Operations, Lean Management, Lean Manufacturing, Takt Time, Little's Law, WIP Limits, Mass Customization, Product Process Matrix, Push Pull Strategy, Fan Out Point, Postponement, Preponement, Risk Pooling, Statistical Process Control, SPC, Process Capability, Cp, Cpk, Six Sigma, Quality Management, Control Charts, X Bar Chart, R Chart, Taguchi Loss Function, Business Analytics, Operations Strategy, Final Exam Questions, Study Guide

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Institution
OIS 3660
Course
OIS 3660

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OIS 3660 Final Study Guide (Pt.
2) 2026 Exam Questions and
Correct Answers | New Update



What does TIRP stand for? - ANSWER ✔✔Transparency, Incentive

compatibility, Robustness, and Pinch-Point


Why does double marginalization lead to lower sales? - ANSWER

✔✔When all parties in the supply chain add a margin, the final price is

higher, so fewer people are willing to buy the product/service

What is the effect of double marginalization?

All other answers are correct

,Higher customer price

Lower sales


Lower supply chain profits - ANSWER ✔✔All of the above


In which supply chain is the retail price lower and sales be higher? -

ANSWER ✔✔In the integrated supply chain


In these graphs, what does "q" stand for? - ANSWER ✔✔The sales

quantity


What is the Bullwhip effect? - ANSWER ✔✔It describes how the

variability in demand increases when orders "move" "upstream" in a

Supply Chain

Providing idiosyncratic discounts to your customers can lead to a

phenomenon called "forward buying". In the case of The Office, the

customer Blue Cross will probably purchase a lot more paper next time

they order, since they got such a great (and unexpected) discount. This

would then force Dunder Mifflin to order more from their supplier etc.,

potentially even causing the Bullwhip effect...


What is the best strategy to avoid forward buying? - ANSWER

✔✔Offer Every Day Low Pricing

, What's the difference between a trend and seasonality? - ANSWER

✔✔A trend is a relatively steady increase (or decrease) over time,

seasonality is a pattern that repeats (e.g., every year or even every

week).

If we are dealing with a very unstable dataset, then which forecasting

method will most likely result in the best (i.e., lowest) MAD, MSE,

MAPE? - ANSWER ✔✔Last Value


A regression analysis shows that #Visits to an online store determines

the number of sales quite accurately (i.e., R2 = 85%), following this

equation: Sales = 5,000 + 0.05*#Visits. If the number of Visits for next

month is forecasted to be 100,000, what will be the Sales? -

ANSWER ✔✔10,000


Which is harder to determine, the cost of overage or the cost of

underage? - ANSWER ✔✔The cost of underage


How is the setting of overbooking flights a Newsvendor setting? -

ANSWER ✔✔Because airlines weigh the costs of overbooking versus

empty seats




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