Submission Guidelines
Join ORB: Topics in Operations Research
Linear programming, Integer programming, Dynamic programming, Game theory, Simulation, Heuristics, Artificial Intelligence, Optimization and Business Planning. An interdisciplinary science applied in industries, including manufacturing, healthcare, and transportation.
The Science of Making Better Decisions
Mathematics, Computer Science, and Statistics. The goal of OR is to develop mathematical models of real-world problems and then use these models to find optimal solutions. Mathematical models are often used to:
- inform decisions
- improve productivity
- maximize profits
OR concepts solve complex problems using mathematical models, statistical analysis, economics and management to make decisions in business situations where there is not enough information to be certain about the outcome.
Origins
Engineering, Logistics, and Finance. Scientists and engineers began to apply mathematical methods to military problems in the early 20th century. During World War II, OR was used to solve a variety of problems, including the optimal allocation of resources, the design of weapons systems, and the planning of logistics.
After the war, OR began to be used in other fields, such as business and government. In the 1950s, OR saw a rapid growth in popularity, and a number of new OR techniques were developed.
Modern Techniques and Perspectives
Industries, including transportation, manufacturing and healthcare use mathematical techniques to solve problems:
- Business: production planning, inventory management, and transportation scheduling.
- Governments: emergency planning, policy, crime, and pollution.
- Transportation and Logistics: transportation networks, facility location and layout, route planning, scheduling, and fleet management.
- Finance and Banking: portfolio optimization, risk management, credit scoring, fraud detection, trading strategies and pricing.
- Energy and Utilities: resource allocation, load balancing, renewable energy integration, maintenance scheduling and pricing.
- Telecommunications: network design, capacity planning, and routing.
- Military: weapons design, logistics, and battle planning.
- Healthcare: scheduling, delivery and quality improvement.
The Future is Bright
Operations Research is a powerful tool that can be used to solve a wide variety of problems. OR techniques are becoming more accessible to businesses and governments, thanks to the development of powerful software tools. These techniques are used in a variety of fields, and OR is constantly growing and evolving.
Your Chance to Make a Difference
Want to publish your stories with ORB? Leave a comment to be added as a writer and be a part of the next generation of problem-solvers. You can also submit your article offsite here. Highlight your experience with these methods in the comments or submit your story.
Try ORB’s OptiSage AI Teaching Assistant. OptiSage is your trusty digital companion here to guide you toward captivating topics and engaging narratives. Try OptiSage to for inspiration for your next OR writing endeavor.
Writers are expected to follow the Medium rules, curation guidelines, use a subheader, a high quality feature image and are encouraged to use the Listen feature for their story before publishing. Authors can use their images or their GenerativeAI images citing source as “Image by [Author Name or pseudonym, hyperlink if available] with [AI Model Name].” Authors can use superscript for numbering any references and list them at the bottom in the style:
- Author(s). Year. Title. Journal/Website Title. [updated month/year; accessed month/year]; volume(issue): pages. DOI if available.
Writers can submit 1 - 3 articles per week. ORG and Sustainable Cities do not have a limit. After submitting your story, Editors may correct formatting, spelling, grammar and remove link lists and uncited images. You can make slight revisions after publication staying within the style guidelines.
For Sustainable Cities use Kickers to cite cities in the format City, Country or Country if the story does not have one city.
Join ORB’s Wordsmith Workshop on Medium for more writing tips.
Operations Excellence page has ORB’s featured articles.
Thank you to our Editors Varun Tyagi, Diogo Ribeiro!
About ORB Editors
Varun Tyagi is a seasoned pro in LLM, ML, mathematics, innovative pricing strategies, and data engineering with a knack for leadership. Passionate about leveraging futuristic tech to tackle business challenges. Simplifying Logistics with Python: A Practical Guide to Bundling Moves
Diogo Ribeiro, I am a data scientist and mathematician with a passion for research, problem-solving, and writing. My work focuses on data-driven insights and practical solutions. Two-Way ANOVA Test
Packages for Analysis
- Pyomo: A modeling language and solver interface for mathematical optimization. It is a powerful and flexible tool that can be used to solve a wide variety of optimization problems.
- Gurobi is a commercial optimization solver that is known for its speed and accuracy. It is a good choice for solving large-scale OR problems.
- CVXOPT: A free software package for convex optimization. It is a fast and efficient solver for a variety of convex optimization problems.
- PuLP: A linear programming modeling language and solver interface. It is a user-friendly tool that can be used to solve linear programming problems.
- PySCIPOpt: A Python interface to the SCIP Optimization Suite. SCIP is a powerful open-source solver for a variety of optimization problems.
- pyOpt: A package for formulating and solving nonlinear constrained optimization problems. It is a versatile tool that can be used to solve a wide variety of nonlinear optimization problems.
Commonly used:
- NumPy: A library for scientific computing. It provides a variety of mathematical functions and data structures that are useful for operations research.
- SciPy: A library for scientific computing. It builds on NumPy and provides additional functionality for operations research, such as optimization solvers and statistical functions.
- Pandas: A library for data analysis. It provides a variety of tools for manipulating and analyzing data, which can be useful for operations research problems.
- Matplotlib is a plotting library that can be used to visualize the results of OR models.
** Advertise with us! For more information email: publishoperationsresearch@gmail.com **
New to ORB? Here are Published Stories in Operations Research and Popular Tags
2024
Bitwise Newsletter: February, March, April [2], May, June, July, August, September
- Gradient Descent, Smart Contracts, Optimizing Air Traffic Control, Retail, Bargains and Data-Driven Genius, Sharpen Your Skills: 25 Operations Research Problems
2023, ORB Published 45 Writer Stories, Added 41 Writers and 4 Editors
The most popular tags in 2023 were Artificial Intelligence, Technology, Data Science, Education, Learning To Code, Python, Coding, Algorithms, Analytics, Optimization, Operations Management, Operations Research, Deep Learning, Cybersecurity, Prompt Engineering, Communication, and Information Theory.
- Revenue Management, Essential Skills for Every Leader, Financial Analysis, Earnings, Forecasting, Demand Planning, Procurement to Implementation, Contracts
- Convex and Non-Linear Optimization, P Value: Solving Complex Problems with Confidence, Linear Algebra, Convergence, Optimization, Topology, Coding for Impact: Building the Tools We Need to Solve the World’s Biggest Problems, DevOps: How High-Performing Teams Develop and Deploy Software, Algorithms in Chess Engines, Computational Thinking, Experimentation,
- Queuing Theory: Manage Queues and Optimize Service, Methods and Models, How To Do Research That Matters: A Guide To Research Methods, The Most Told Stories, The People Who Made Operations Research Possible, Analytics Before AI, Completing Tasks Efficiently, Forecasting Models: Improve Accuracy to Make Better Decisions, Informed and Confident Decisions: How MCDM Can Help Experts Solve Complex Decision-Making Problems Faster
- 50 Must-Read Books in Operations Research, The Must-Read OR Papers of the Past Decade, Economics Nobel Prize Winners: A Legacy of Innovation and Impact, Operations Research Methods for Managers: A Guide to Improving Efficiency and Effectiveness, How Operations Research Can Help You Build and Manage More Effective Data Warehouses, Engineering Problems, Prompt Engineering
- GIS as The Future of Location Intelligence: Using Data and Analytics to Solve Complex Location-Based Problems, Stay Ahead of the Competition: How Agile Can Help High-Performing Teams Innovate More Quickly and Adapt to Change
- Making Better Decisions with Data in the Information Age, a Step-by-Step Guide, Smarter, More Efficient Transportation Systems, Frontiers of Innovation in the Age of Discovery
- Shaping the Future, Predict and Improve the Future, The Future of Problem Solving: How Emerging Technologies are Revolutionizing the Way We Make Decisions, Drive Innovation in Your Business: Develop New Products and Services
- The Science of Making Cities More Sustainable, UN SDGs and How Operations Research is Transforming the Way We Measure Impact, Operations Research for Good: How to Use Data and Analytics to Make a Positive Impact, World Trade, Methods in Trade, Bridging the Gap: Essential Phrases and A Guide to Effectively Communicate the Science of Decision-Making
