The capacity of a company or industry to innovate and improve, produce, and market products in better conditions of price, quality, and opportunity than its rivals
Critical factors of customer satisfaction in relation to business competitiveness
Product quality
Service quality
Price
Competitive advantage
Something that cannot be easily replicated and is exclusive to a company or business
Value created internally that sets the business apart from its competition
The productivity with which a location uses its human, capital, and natural endowments to create value
Strategy
Plans for achieving organizational goals
Tactics
Methods and actions used to accomplish strategies
Types of operational strategies
Corporate strategy
Customer-driven operational strategy
Core competencies strategy
Competitive priorities strategy
Product or service development strategy
Cost-driven strategies
Outsourcing strategy
Flexibility strategy
SWOT analysis
Analyzing the organization's strengths, weaknesses, opportunities, and threats
Technological changes can bring both opportunities and threats for businesses
Productivity
A measure of how efficiently and effectively products and services are produced
Productivity
Doing things right (efficiency) and doing the right things to meet customer requirements (effectiveness)
High productivity can be a significant source of competitive advantage
Productivity
The ratio between process output units and process input units
Productivity measures how well resources are used
Productivity is important for both businesses and whole countries
Productivity
Effective use of resources, usually expressed as the ratio of output to input
Productivity for nonprofits
Means they can keep costs down while still doing a lot of good
Productivity for companies trying to make a profit
Shows how well they can compete with other businesses
Productivity
About getting more done with the resources you have, whether that's time, money, or people
Productivity measures are used to assess how well an entire industry or a whole country is performing
Business leaders pay close attention to productivity because it affects competitiveness
Forecasting
The process of making predictions of the future based on past and present data
Forecasting within operations management impacts all other operations decisions
Forecasts drive strategic operations decisions such as choice of competitive priorities, and large technology purchases
Different departments lie on the predictions of forecasting
Principles of forecasting
Forecasts are rarely perfect
Forecasts are more accurate for grouped data than for individual items
Forecasts are more accurate for shorter than longer time periods
Qualitative forecasting methods
Judgmental methods, generated subjectively, rely on educated guesses and characterized by human judgment and opinions
Quantitative forecasting methods
Mathematical modeling, based on mathematics
Executive opinion forecasting
Managers collaboratively develop a forecast, often used for strategic planning or adjusting for unusual events
Market research forecasting
Uses surveys and interviews to gauge customer preferences and generate new product ideas, often conducted by external firms
Delphi method forecasting
Aims to achieve consensus among experts while keeping their identities anonymous
Time series models
Assume information needed to generate a forecast is contained in a time series of data
Naive method
Assumes that the next period's forecast is equal to the current period's actual values
Simple mean or average method
The forecast is made by computing the average of all data
Moving average method
Only the data from the most recent periods are included in the average, as new data is added, the oldest data points are removed
Causal models
Explore cause and effect relationships, assume the variable being forecast is influenced by other variables
LEGO bricks empower individuals to explore endless creative possibilities by assembling various pieces
System design in operations management
Strategically combining resources and processes to achieve exceptional outcomes in delivering products and services
System design requires meticulous planning and innovation to integrate different elements effectively
System design demands continuous improvement and adaptation, companies must undergo multiple iterations, learning from trial and error