Human Knowledge in an Automated World

Many businesses struggle with optimization glitches in today’s fast-paced, digital world. Complex decision-making once decided by humans is now determined by ground-breaking, state-of-the-art and innovative software solutions. Applying industry research and high-level algorithms,optym.focuses on developing decision automation and optimization solutions for the transportation industry.

From Professor to Entrepreneur

总裁兼首席执行官博士Ravindra Ahuja Optym,an academic professor turned entrepreneur. His academic career extends over 30 years teaching at the Indian Institute of Technology, Massachusetts Institute of Technology and theUniversity of Florida(UF). Ravi began his entrepreneurial journey at UF conducting research for transportation and logistics companies.

“我发现了学术理论和行业实践之间的断开，”拉维解释道。“我观察到的优化进步并没有使运输业继续依赖和利用基本技术。”

The talent pool in Florida is excellent,” Ravi staid. “Being near the UF allows us to reach emerging talent.

Determined to transform the industry by connecting theory to practice, Ravi founded Optym in 2000. It developed from a start-up business in Gainesville, Florida to a global provider for decision automation and optimization solutions with over 225 employees with branches in four countries. His hands-on approach to solve problems, design algorithms, and utilize user-interfaces generates successful outcomes for clients and unlocks millions of dollars in extra profitability.

Florida Acquires Talent from 20 Countries

The team hails from 20 countries across six continents bringing different ethnic, cultural and educational backgrounds.

“This diversity fosters an atmosphere of cooperation, understanding and openness to new ideas and perspectives,” Ravi stated. “It allows us to learn more about each other and the world.”

Yet, with all the individual uniqueness, employees still share a passion for problem solving and producing positive societal impacts. The contributions of each employee are considered equal; therefore, inspiring team members to share ideas and opinions.

“We encourage employees to enhance and share knowledge through workshops, certifications and diverse channels of professional development,” Ravi said.

optym在数据分析，运营研究，信息技术，计算机科学和项目管理中使用专家，以扩展快速发展模式的系统。betway精装版苹果UF在街上的好事。从其国家赞誉的工程方案中与大学合作伙伴与大学合作，招募合格人才。

“The talent pool in Florida is excellent,” Ravi staid. “Being near the UF allows us to reach emerging talent. We pride ourselves on treating our team members as business owners, and we nurture employees’ long-term career goals.”

增强航空流程

Determining fly patterns is a multifaceted process impacting safety, product and revenue potential for airlines. Optym utilizes industry expertise and global reach to deliver advanced scheduling software optimizing operational functions that best allocate aircrafts, assets and resources to maximize network profitability. These comprehensive schedule development platforms meet customer demands, highlight schedule efficiency, estimate schedules within hours, advance operational performances, examine simulations, and strategize solutions.

“Southwest Airlineshired Optym to develop its first flight schedule optimization system,” Ravi said. “The software solutions developed by Optym are creating huge profitability improvements for Southwest.”

减少LTL运营商线路运输费用

Trucking companies carry over 70 percent of the freight tonnage moved within the United States. These volumes are forecasted to rise as population and consumption increases. Optym creates, analyzes and executes plans dealing with operational constraints and shipment volumes. Additionally, Optym recognizes areas of improvement and performance disruption management.

“越来越多于卡车（LTL）运营商体验最困难的优化问题，”Ravi解释说。“我们破解了这些困难的决策问题，并开发优化解决方案将线路运输降低了三到六个百分点。”

铁路决策解决方案

几个世纪以来，铁路系统运输地理位置，沙漠和山脉的进口和出口。该行业已扩展到一系列复杂的轨道，院子，火车，机车和船员网络。为了吸引商业，铁路公司必须提供可靠的时间表，优质服务和合理的成本。然而，多个网络存储铁路数据，这些数据通常会导致质量和集成问题。由于缺乏适当的数据，决策者可能不会辨别出明智的决策。经验丰富的员工退休，铁路公司正在失去域名专业知识;因此，必须捕捉人类洞察自动化以推进决策技能。

optym.acknowledges the difficulty rail companies encounter managing technical challenges and executing plans. Therefore, Optym simulations apply operational data to perform a variety of what-if studies and then recommend optimal configurations leading to effective, efficient and innovative solutions. To maximize productivity, data analytics prepare current data solutions in the appropriate format for train and locomotive scheduling, yard planning, and crew scheduling.

“We have partnerships withBHP BillitonandCSX Transportation拉维说，这两家最大的公司中最大的两个公司。“optym是建立创新应用的最前沿，这些应用是许多这些运输公司的首选。”

Live Efficiently

Ravi的创业旅程联锁理论与实践，在全世界构建更有效的优化。他认为，由于其人才池，有吸引力的氛围，文化祭，气候和低生活成本，佛罗里达州盖斯维尔是一个无与伦比的地理位置。随着迅速扩大的业务和刺激新的伙伴关系，阳光状态肯定是二十年来的金属型。