Operations Management OPMA 3306 – Forecasting Inventory Productivity Supply Chain 140 Questions Exam Pack | University of Texas at Arlington

This document is a comprehensive exam preparation resource containing approximately 140 questions with verified answers for OPMA 3306 Test 1 at UTA. It covers core operations and supply chain management concepts, including competitive dimensions (cost, quality, delivery speed, flexibility), productivity measurement, and the integration of operations strategy with corporate strategy. The material also explores forecasting techniques such as time series analysis, moving averages, exponential smoothing, and demand components (trend, seasonal, cyclical), as well as key performance measures like Mean Absolute Deviation (MAD) . In addition, the document provides in-depth coverage of inventory management systems, including fixed-order quantity models, fixed-time period models, and single-period models. It also addresses inventory costs (holding, ordering, shortage), safety stock, capacity planning, and supply chain risks (coordination vs disruption). This resource is highly relevant for students enrolled in Operations Management (OPMA 3306), Supply Chain Management, Business Analytics, and Industrial Engineering courses. It is ideal for undergraduate business students at the University of Texas at Arlington and similar programs, as well as learners preparing for exams or careers in logistics, operations, and supply chain management. The content aligns closely with widely used textbooks such as Operations Management by William J. Stevenson and Operations and Supply Chain Management by F. Robert Jacobs and Richard B. Chase. It reinforces high-yield concepts including forecasting models, inventory optimization, and strategic decision-making. The structured question-and-answer format enhances retention, supports active recall, and prepares learners for academic assessments and real-world business applications. Keywords: operations management exam questions, supply chain strategy competitive dimensions, forecasting time series moving average exponential smoothing, productivity output input measure, inventory management models fixed order quantity, safety stock inventory costs holding ordering shortage, capacity planning operations management, MAD forecast error measurement, supply chain risk coordination disruption