Introduction
Overview
This is a new book in Operation Research that emphasizes the use of Python.
Operations Research (OR) or Management Science concerns advanced analytical methods for better decision making. It is a practical discipline that deals with quantitative thinking in managerial scenarios. It uses tools from mathematical sciences, such as modeling, statistics, and optimization, to arrive at optimal or near-optimal solutions to complex decision-making problems. Operations research is often concerned with determining the extreme values of real-world objectives, such as maximizing profit or minimizing cost.
Operations research is used to deal with real-world problems. For example:
Scheduling: hospital patients, classes, buses, planes, sporting events.
Marketing: store layout, advertising, social media, online ad placement, recommendations on a website.
Product development: product features, pricing, sales forecasts.
Inventory: how many to build, how many touchpads the store should have in stock.
Organizations: business management, cross-cultural issues, social networks.
Queueing: waiting for lines at amusement parks, banks, movie theaters, the line at the store to buy new electronic gadgets, traffic.
Environment: managing sustainable resources, reducing materials needed to manufacture a product.
Optimizing: internet search engines, product design.
Decision making: security, investment, what college to attend.
To use Lumache, first install it using pip:
(.venv) $ pip install lumache
Other ways of writing code:
>>> import lumache
>>> lumache.get_random_ingredients()
['shells', 'gorgonzola', 'parsley']