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Видеозаписи презентаций проектов-финалистов конкурса общества по исследованию операций INFORMS 2013 года (Edelman Award) Оптимизация и имитационное моделирование в планировании цепей поставок

Архив видеозаписей презентаций проектов, награжденных премиями американского общества исследования операций INFORMS

Глоссарий терминов в области математического программирования INFORMS

База кейсов по применению исследования операций INFORMS

Глоссарий терминов в области математического программирования INFORMS

Расширение модели Басса для прогнозирования новых продуктов Intel Forecasting demand for new products is increasingly difficult as the technology treadmill drives product lifecycles shorter and shorter. We present a model that perpetually reduces forecast variance as new market information is acquired over time. Our model extends Bass's idea of product diffusion to a more comprehensive theoretical setting using the notion of demand-leading indicators in a Bayesian framework. Successful implementation at Intel demonstrates not only improvement in time/efforts but also reduction in forecast errors that leads to significant cost savings.

Архив видеозаписей с конференций INFORMS о практическом применении моделирования

Архив видеозаписей презентаций финалистов конкурсов в сфере аналитики, проводимых INFORMS - Wagner и Franz Edelman Award

«Используя информацию о циклических продажах, мы разрабатываем инновационную модель объединенения отложенного распределения и практических механизмов оптимизации. Благодаря системам EDI / RFID модели и алгоритмы были реализованы в крупнейшей в Израиле медиа-группе Yedioth для поддержки решений о распространении печатных журналов. Было документально зафиксировано резкое снижение уровней производства и возврата с одинаковым уровнем продаж. Новая модель распределения пилотируется в других отраслях и ставит новые исследовательские вопросы ». "Using in-cycle sales information, we develop an innovative pooling model of Delayed Distribution, and practical optimization algorithms. Enabled by EDI/RFID systems, the models and algorithms were implemented in Yedioth, the largest media group in Israel, to support distribution decisions of its print magazines. Dramatic reduction in production and return levels with same levels of sales were documented. The new distribution model is piloted in other industries, and opens new research questions."

"Фирмы подвержены различным рискам, связанным с низкой вероятностью / высоким уровнем воздействия, которые могут нарушить их операции и цепи поставок.Эти риски трудно предсказать и количественно оценить, и поэтому ими трудно управлять. В результате руководители могут применять контрмеры не оптимально, оставляя свои фирмы под угрозой, тратя ресурсы на смягчение других рисков, которые не будут наносить значительный ущерб. В трехлетнем исследовательском сотрудничестве с Ford Motor Company мы рассматриваем эту практическую необходимость, разрабатывая новую модель риска, которая оценивает воздействие сбоя, происходящего где угодно в цепочке поставок фирмы. Наш подход исключает необходимость оценивать вероятность, связанную с каким-либо конкретным риском разрушения, до тех пор, пока компания не узнает, как реализация такого сбоя повлияет на ее работу. В результате компания может принимать более обоснованные решения о том, где сосредоточить свои ограниченные ресурсы управления рисками. Мы демонстрируем, как Форд применял эту модель для выявления ранее непризнанных рисков, оценки де

Презентация финалистов конкурса Franz Edelman Awards/INFORMS о применении системной динамики в корпоративном управлении крупной инжиниринговой компанией

IBM Supply Chain Management Virtual User Group Meetings provide you with updated and useful information about our SCM products and how you can get the best value for your organization from our technology and solutions.

Список проектов-финалистов премии Франца Эдельмана за успехи в применении исследования операций - с 1972 по 2011 годы. Интересны перечень областей приложения и достигнутый экономический эффект

"Ingram Micro, the world's largest technology distributor operates in a high volume low margin environment. The company started its Business Intelligence & Analytics practice in North America (NA) about 6 years ago. Since then the group has built and deployed a scalable highly innovative price optimization engine, imprime™, for NA's $8B spot business, a set of analytics apps, imsmart™ for its internal sales organization and an integrated digital marketing platform, intelligence.ingrammicro.com, to run data-driven marketing campaigns to its customers and end customers. Since 2011, these products and analytical programs have yielded a cumulative benefit of $1.12 Billion of incremental product revenue and $28M of incremental gross profit. These solutions have been effective in driving profitable growth and are scalable. Our next steps are to continue to drive these best practices within the other regions outside NA and continue our sales enablement activities."

"We partnered with the online flash sales retailer Rue La La to develop and implement a pricing decision support tool that sets initial prices for new products. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time discounts (typically 2-3 days) on designer apparel and accessories. Our approach is two-fold and begins with developing a demand prediction model for new products. The two biggest challenges faced when building our demand prediction model include estimating lost sales due to stockouts, and predicting demand for styles that have no historical sales data. We use descriptive analytics (clustering) and predictive analytics (regression) to address these challenges and predict future demand. Regression trees - an intuitive, yet non-parametric regression model - prove to be effective predictors of demand."

"The planning of spare engines and engine parts is a challenging and important task for airlines to seamlessly support flying and engine repair operations. Engines are expensive and critical assets that make this problem important from the financial and operational perspectives. In this talk, we present an application of a simulation-based approach utilized for planning the ownership level of spare engines and engine parts required to achieve a target service level or out-of-service (OTS) aircraft performance metrics. Our application considers both single and multi-location settings as well as two levels of modeling: a higher level where the repairable components are the engines as a whole, and a lower level that focuses on the repair of the individual engine parts. "

"The Mayo Clinic Department of Orthopedic Surgery was facing low utilization of their operating rooms (ORs) for spine surgical procedures, combined with fluctuating empty days and days with overtime to complete scheduled surgeries. Extremely long days ended up being unsafe days with increased provider fatigue and higher likelihood of errors. Investigation revealed the cause to be inaccurate estimation of surgical and non-surgical duration and scheduling of surgeries rather than limited surgery demand. Existing scheduling optimization research in the literature was inadequate, as they provided a single "optimal" solution. Often, the single optimal solution was not satisfactory to the patients and the providers. The team 1) conducted descriptive research using historical data to identify clinical and operational factors; 2) developed and implemented predictive models for the duration of surgical and nonsurgical times in the OR based on these factors; and 3) developed and implemented a prescriptive scheduling search algorithm that suggests multiple slots for a given surgery thereby providing flexibility while ensuring high probability of completion of surgical day without much overtime (completion closer to 5 pm)."

"We describe a software application that enables owners of generation output from a virtualized Federal Columbia River Power System to safely operate the system while also shaping the generation to meet their energy and economic needs. The application, known colloquially as The Optimizer, employs modern Operations Research techniques to convert a highly non-linear problem into a linear one so as to create a robust solution for the entire, six-dam system on an hourly basis; over a ten-day time horizon; within seconds to minutes. The tool permits two operators to manage and optimize the entire generation portfolios for nine utilities simultaneously in a very stringent time frame around the clock, and enables planners to ensure that the operation of the river meets all of the requirements for flood control, fish management, electrical reliability, safe dam operation, and recreation under high degrees of uncertainty. As a result, the Optimizer allows utilities to integrate renewable, environmentally friendly wind and solar generation into their resource portfolio with hydro generation and empowers fast decision making and adaptation to rapidly changing conditions."