PPT-ISEN 315

Spring 2011 Dr Gary Gaukler Newsvendor Model Assumptions Assumptions One short selling season No resupply within selling season Single procurement at start of season Known costs known demand distribution. S M Tech Student RIT Kottayam Kerala India Asst Professor RIT Kottayam Kerala India Scientist NATPAC Trivandrum Kerala India ABSTRACT An Accident is a rare multifactor event preceded by a situation or event wher ein one or more road users failed to Spring 2011. Dr. Gary Gaukler. Lot Size Reorder Point Systems. Assumptions. Inventory levels are reviewed continuously (the level of on-hand inventory is known at all times). Demand is random but the mean and variance of demand are constant. (stationary demand). Spring 2011. Dr. Gary Gaukler. Inventory Control. Deterministic inventory control. Stochastic inventory control. MRP / Lot sizing / JIT. Supply chain management. Reasons for Holding Inventories. Relevant Costs. Spring 2011. Dr. Gary Gaukler. Introduction to Aggregate Planning. Goal: To plan gross work force levels and set firm-wide production . plans, based on predicted demand for aggregate units.. . Hierarchy of Planning . Introduction to Production and Manufacturing . Systems. Dr. Gary Gaukler. Quality and Profit. Profit = Revenue . – Cost. Quality impacts on the revenue side:. Quality impacts on the cost side:. 3. Defining Quality. Spring 2011. Dr. Gary Gaukler. Demand Uncertainty. How do we come up with our random variable of demand?. Recall naïve method:. Demand Uncertainty. Demand Uncertainty and Forecasting. Using the standard deviation of forecast error:. Spring 2011. Dr. Gary Gaukler. Two-equation Smoothing Model. Add linear trend:. Assume . D. t. = . m. + t . G. + . e. t. . . S. t. = . a. . D. t. + (1-. a. ) [. S. t-1. + 1 . G. t-1. ],. Spring 2011. Dr. Gary Gaukler. A First Operations Model: Capacity . Strategy. Fundamental issues:. Amount. . When adding capacity, what is the optimal amount to add? . Too . little. Too . much. Timing. Location Logistics. Dr. Gary M. Gaukler. Fall 2011. Heuristics. The myopic algorithm identifies the . n. median locations. . Customers are assigned to their closest median.. . Improvement heuristic:. Location Logistics. Dr. Gary M. Gaukler. Fall 2011. Setup of a Facility Location Problem. Locate new facilities. Considering:. Interaction with existing facilities. Customer demands. Customer locations. Pedestrian Master Plan. Summary of . results of. April–May . 2014 online . survey. June 9, 2014. E. ISEN. |L. ETUNIC. Overview . of online survey. Purpose: . Get input on existing conditions and needs. Location Logistics. Dr. Gary M. Gaukler. Fall 2011. SFMS with Rectilinear Distances. Rectilinear distance:. Total cost:. SFMS with Rectilinear Distances. Properties of total cost function:. Graph:. Consequences:. Dr. Gary M. Gaukler. Fall 2011. Heuristics. The myopic algorithm identifies the . n. median locations. . Customers are assigned to their closest median.. . Improvement heuristic:. Myopic Example. ceedatculturallyvaluedgoalsegconcerningworkloveandhealththantheirlesshappypeersHoweverthelargenumberofavailablecorrelationalstudiesinthiscategoryalsoincludesrele-vantresearchexaminingbehaviorandcognit