A process that monitors standards by take measurements and corrective action as needed. It is in control when only variation is natural, if variation is assignable then discover cause eliminate it. Take samples to inspect/ measure- reduce inspection time, reduce opportunity of bad quality. Control charts graph of process data over time-show natural and assignable causes. Control charts for variable data (characteristic that is measured, length,height, etc) are X-chart (average) and R-chart (range)must use x and r to get correct results. central limit theorem follow normal curve. When we know . When we don’t know . Control charts for attributes (categorical-defective, good/bad) P-chart (percent) or C-chart (count number). . X-bar chart is sensitive to process mean, R-bar chart is sensitive to process standard deviation. 3 management issues for control charts. 1. Select points that need SPC. 2. Determine charting technique. 3. Set clear policy/procedure. Process capability ability to meet design specifications/Measure of relationship between natural variation of process and design specifics. to be capable. Acceptance sample- take random samples, inspect, deiced whether to reject the whole lot based on results. Only screen lots. Automated inspection 100% inspection at low costs.
Supply Chain Management:
Coordination of all supply chain activities start with raw materials and end with a satisfied customer. Objective is to maximize supply chain competitive advantage(low-cost, response, and differentiation) and benefit the consumer. Include(suppliers, manufacturers, service providers, distributors, wholesalers, retailers, final customers). Supplier relationships becoming integrated and long-term. Sourcing issues: Make-or-buy decisions( choose between produce component in house or outsource it. Outsource( transfer traditional internal activities and resources to outside vendors, efficient in specialization, never outsource core