In this book, Professor Roy Nersesian examines a wide range of common business problems that require an optimal solution, yet where no linearity exists. That is, he tackles problems that cannot accurately be solved using Excel’s Solver or other traditional linear optimization tools. Instead, Prof. Nersesian leverages the power of Evolver’s unique genetic algorithms to address issues ranging from managing a stock portfolio to the timing of new plants. The book also comes with detailed example spreadsheets you can use and modify to meet your company’s particular needs.
Topics covered include:
• Project management
• Managing a loan portfolio
• Managing a stock portfolio
• Materials requirements and planning
• Job shop and production floor scheduling
• Production planning
• Curve fitting for plant loading
• Warehouse location planning
• Multi-rate shipping and inter-warehouse exchanges
• Assigning shipments to trucks
• Scheduling trains to station stops
• Assigning routes
• New plant sizing and timing
• Pricing models
• Assessing unit costs
• Determining a royalty and tax structure
• …And more!
Evolver Solutions for Business
$59.95Price
- Roy Nersesian
Roy L. Nersesian is a professor in the School of Business at Monmouth University, and an adjunct professor for the School of International and Public Affairs at Columbia University. Professor Nersesian holds a BS in physics from Rensselaer Polytechnic Institute, followed by 8 years in the U.S. Navy with his last position as Chief Engineer on a Polaris submarine. He graduated from Harvard Business School with an MBA and worked for a shipping company, a bank in shipping finance, and as a consultant for a ship brokerage firm all before beginning his academic career in 1985. He teaches quantitative analysis and is involved with various research consulting projects. Professor Nersesian has written several books, including Corporate Financial Risk Management published by Praeger Press, 2004, and Energy in the 21st Century published by M. E. Sharpe, the second edition of which was published in 2010.
