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The Applied Probability Society is a subdivision of the Institute for Operations Research and the Management Sciences (INFORMS). The Society is concerned with the application of probability theory to systems that involve random phenomena, for example, manufacturing, communication network, computer network, service, and financial systems. The Society promotes the development and use of methods for the improvement of evaluation, control, and design of these systems. Such methods include (stochastic) dynamic programming, queueing theory, Markov decision process, discrete event dynamic systems, point processes, large deviations, reliability, and so on. Our members include practitioners, educators, and researchers with backgrounds in business, engineering, statistics, mathematics, economics, computer science, and other applied sciences.

The Applied Probability Society also publishes Stochastic Systems. This open-access journal seeks to publish high-quality papers that substantively contribute to the modeling, analysis, and control of stochastic systems. The contribution may lie in the formulation of new mathematical models, in the development of new mathematical methods, or in the innovative application of existing methods. A partial list of applications domains that are germane to this journal include: service operations; logistics, transportation, and communications networks (including the Internet); computer systems; finance and risk management; manufacturing operations and supply chains; and revenue management.

To keep up-to-date with all the latest developments in the Applied Probability Society community, INFORMS members should make sure to subscribe for real-time or digest correspondence through INFORMS Connect. For INFORMS members outside of the Society or for community members outside of INFORMS who would like to receive updates as well, register here to receive select Applied Probability Society communication directly.

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Jobs of Interest to APS

  • Columbus, Ohio, The Performance Consulting organization is responsible for leading critical, strategic efforts throughout the business with the ultimate goal of improving both operating and financial performance. The Operations Research (OR) organization , which is part of Performance Consulting, leads and executes transformational advanced analytics projects in Operations across Consumer and Community Banking. As part of the OR organization, the Quantitative Modeler will leverage discrete event simulation and other operations research based methods and tools to identify, analyze, and drive improvement opportunities within CCB operations business units. Interested individuals should possess strong analytical, communication, project management, and interpersonal skills.  In addition, candidates should be adept at building relationships with clients, excel at presenting analytical insights in an interesting and insightful way, and be able to demonstrate business value as an outcome of work product.    Our organization is highly collaborative, bringing together individuals with diverse backgrounds and experiences to solve complex business problems. We are deeply committed to fostering an environment devoted to c ontinuous learning and are focused on building solutions which deliver business value. If you are passionate about working on challenging advanced analytics, modeling, or data science problems, this is an ideal opportunity. Responsibilities Modeling and Analytics Leverage a wide range of quantitative methods, including discrete event simulation, to analyze complex, multi-faceted business problems Execute full-stack model development (data gathering, exploration, and manipulation; model development; model validation) of simulation models Build and deploy prototype solutions to demonstrate concepts and prove business value Client and Engagement Management Perform assessments of the business to clearly define a problem statement, formulate an initial solution strategy, and achieve stakeholder agreement on proposed analytical work Actively manage the timely completion of all engagement milestones and tasks on long-term projects Proactively communicate with the sponsor, key stakeholders, and subject matter experts throughout the engagement as appropriate to foster strong relationships as a trusted advisor Deliver quantifiable and documented business value for the work performed Qualifications Bachelor's or Master's Degree in a quantitative field, preferred Operations Research, Systems Engineering, or Industrial Engineering 3+ years working on complex, highly-visible analytical projects in a large-scale, corporate environment Practical experience with and theoretical knowledge of discrete event simulation and/or agent-based simulation Practical experience with discrete event simulation software such as Simul8, FlexSim, AnyLogic, or Arena Practical experience with and theoretical knowledge of statistics (regression, distribution fitting, forecasting, bootstrapping) Practical experience with operations research techniques such as queuing systems, Monte Carlo methods, stochastic processes, Markov chains, andlinear programming Outstanding critical thinking and problem solving skills; adept at navigating an ambiguous, semi-structured work environment Proficiency in software for manipulating, modeling, and visualizing data (e.g. SAS, SQL, Python; knowledge of Tableau is a plus) Experience managing and processing large, unstructured data; familiarity with data warehousing and transformation tools and processes with exposure to multiple database technology implementations Superior ability to structure and scope complex problems, apply a range of analytical tools, gain and synthesize insights and develop solutions Client management skills - Able to closely partner with senior leaders, supervisors, front line employees and other stakeholders on projects Project management skills – Able to frame projects and establish required governance to move projects forward. Project Management Professional (PMP) certification and management consulting experience a plus Deep curiosity, creativity, and imagination; continuous learner
  • Tampa, Florida, The Department of Industrial and Management Systems Engineering (IMSE) at the University of South Florida (USF) invites applications for tenure-track/tenured faculty position(s) at Assistant/Associate Professor levels starting in August 2022. Research and educational interests of the applicants should intersect with the departmental core methodological research thrusts in data analytics and optimization with applications in smart city/urban infrastructure (including cybersecurity, healthcare systems, energy, water, transportation, and public health), and advanced manufacturing including bio-manufacturing . Minimum qualifications include: 1) a doctoral degree in industrial engineering or a related field from an accredited institution, 2) a strong record of publications in top tier peer reviewed journals and, if seeking an associate rank, a high citation h-index, 3) significant potential (or demonstrated experience) for conducting research, as principal investigator, funded by grants and contracts from peer reviewed federal agencies and competitive state and private sources, 4) potential/demonstrated ability to form multi-level, interdisciplinary research collaborations, 5) for the associate level, a strong record of successfully funding, mentoring, and graduating doctoral students, and 6) demonstrated experience/potential for developing and teaching undergraduate and graduate level courses, particularly Ph.D. level courses, for the associate level. Preferred qualifications include expertise in one or more areas including data mining and machine learning, computing architecture, decision making through stochastic optimization, and advanced manufacturing. Successful candidates will be expected to have a strong credential/potential for externally and competitively funded interdisciplinary research program and commitment to undergraduate and graduate education. Candidates are expected to have demonstrated leadership and communication skills, be able to work effectively in teams, integrate research, education and service activities, and be actively engaged in leadership in professional societies. Candidates must be committed to diversity among students, faculty and staff. An application package should include a cover letter indicating your interest in a specific rank , complete curriculum vitae with list of publications and research grants and contracts, names and detailed contact information for four references, a 1-page statement of the applicant’s research vision and a 1-page teaching statement. The cover letter should be addressed to Dr. Susana Lai-Yuen , Faculty Interview Panel Chair, Industrial and Management Systems Engineering, University of South Florida, 4202 E. Fowler Ave, ENB 118, Tampa, Florida, 33620. Applicants must electronically submit the application packet as one PDF file to the following website: https://www.usf.edu/work-at-usf/careers/index.aspx ( Note: Job Opening ID#27472 for Assistant Professor and ID#27473 for Associate Professor)). Review of applicants will begin on September 1, 2021, and will continue until the position(s) are filled. Women and minorities are strongly encouraged to apply. To request disability accommodations in the application and interview process, please notify Khoa Dinh, EOL Coordinator at (813) 974-9272.  
  • Plymouth, Minnesota, Description:  Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive. Job Purpose and Impact Sr. Operations Research Engineer will lead discussions with client domain experts, operations teams and other operations research engineers to gain direct insight on complex facility and process questions regarding material flow, personnel flow, utilization, space constraints and bottlenecks. In this role, you will develop and implement complex simulation and optimization models designed to answer questions on making our manufacturing and supply chains more effective. You will be responsible for complex project planning, model development and validation, deployment, and long term support of the solutions. Key Accountabilities Develop, validate and deploy complex simulation and optimization models to drive strategic and tactical decisions. Apply various modeling techniques to generate solutions to complex business problems such as resource planning, production planning, scheduling, facility location, portfolio optimization, supply chain management, pricing and revenue optimization. Partner collaboratively with internal business stakeholders and project managers to transform business requirements into a business solution. Compile simulation data, assumptions, calculations and results to provide insight to leadership using model results and reports. Develop innovative, repeatable, business use cases, and quickly develop prototypes to test these use cases. Develop a library of standard modeling elements for ease of use in future models. Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. Other duties as assigned Qualifications MINIMUM QUALIFICATIONS Bachelor’s degree in a related field or equivalent experience Proficiency in object-oriented programming frameworks Experience with email, spreadsheet and word processing applications Experience developing simulation and optimization models leveraging at least one of the various related commercial software tools Experience utilizing advanced knowledge to develop models in one or more of the following fields: discrete event simulation, discrete optimization, integer programming, dynamic programming, heuristics, genetic algorithms, or other metaheuristics Minimum of four years of related work experience   PREFERRED QUALIFICATIONS Master's degree in operations research, industrial engineering, applied mathematics, statistics, computer science or related field Experience in commercial optimization solvers Experience applying lean principles and methods to develop standardized model and data frameworks in order to identify best practices in model development Equal Opportunity Employer, including Disability/Vet.
  • Plymouth, Minnesota, Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.   Job Purpose and Impact The Operations Research Engineer will facilitate direct discussions with client subject matter experts, operations teams, and other operations research engineers to understand facility and process questions regarding material flow, personnel flow, utilization, space constraints, and bottlenecks. In this role, you will develop and implement simulation and optimization models designed to answer questions on making our manufacturing and supply chains more effective. You will be collaborating on project planning, model development and validation, deployment and long term support of the solutions. Key Accountabilities Develop and deploy simulation and optimization models to drive strategic and tactical decisions. Apply various modeling techniques to generate solutions to problems such as resource planning, scheduling, facility location, portfolio optimization, supply chain management, pricing and revenue optimization. Lead projects and coordinate tasks with other project team members. Work collaboratively with internal business stakeholders and project managers to transform and visualize the data and model results. Summarize and present validated results and actionable recommendations. Other duties as assigned Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff. Qualifications MINIMUM REQUIRED Bachelor’s degree in a related field or equivalent experience Experience with email, spreadsheet and word processing applications Knowledge of object oriented programming frameworks Knowledge of operations research modelling or simulation models Minimum of two years of related work experience PREFERRED Master's degree in operations research, industrial engineering, applied mathematics, statistics, computer science or related field Knowledge of developing simulation and optimization models leveraging at least one of the various related commercial software tools Knowledge of lean principles and methods to develop standardized model and data frameworks Experience utilizing advanced knowledge to develop models in one or more of the following fields: discrete event simulation, discrete optimization, integer programming, dynamic programming, heuristics, genetic algorithms or other metaheuristics Equal Opportunity Employer, including Disability/Vet.
  • Copenhagen, Denmark, The Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark (DTU) invites applications for a position as Professor in Management Science with focus on decision science in healthcare. The position as professor is a permanent faculty post, part of the division of Management Science. The position is also part of the Centre for Optimization Technology for Clinical Pathways co-funded by DTU and Region Zealand. You will be affiliated with Slagelse Hospital, where you will be offered the opportunity to work physically in the clinic. The position will provide you the opportunity to contribute significantly to establishing stronger ties between the theories and methods of decision science and the challenges met within the healthcare system. Attached to the position is also a PhD grant to support the research collaboration. Responsibilities and qualifications Healthcare systems are highly complex production systems calling for efficient planning of physical as well as human resources to offer the best possible care for patients. Such production systems cover the end-to-end logistics chain spanning the pre-hospital, the inpatient and the outpatient phases. An increase in the number of patients in healthcare systems combined with tight budgetary constraints demands a more efficient use of resources. To address the increasing challenges from short-term hospitalization, resource optimization, clinical specialization, and increased demand for specialized medical treatment in hospitals, the focus will be on the design of methods and technologies for optimising clinical pathways, including clinical workflows, clinical logistics, patient scheduling, staff scheduling, as well as the design and pilot testing of technologies for optimized coordination and communication. Scientifically, experience within the following areas is relevant: Computer-aided decision support for clinical pathways, healthcare planning and clinical logistics. Methods from Operations Research and Operations Management for studying clinical optimization problems. Design and implementation of simulation-based methods like discrete-event, agent-based models and system dynamics. Data science and AI methods for resource optimization—deterministic as well as dynamic and stochastic. Management Science considers it a strength to combine development of new theory with focus on real-life applications. The division is team-oriented, and the professor is expected to support this through peer activities. This position requires strong experience with interdisciplinary academic work. You will therefore bring the following: A PhD in technical or natural sciences incorporating management science (operations research and/or operations management). A high level of original scientific production at the highest international level that has contributed to further development of the subject area in question. Experience in research management, including attracting grants and securing funding for new projects, supervision of early career researchers, handling managerial tasks in national or international projects, conferences etc. Innovation and industrial collaboration with the interest in supporting the application of research results in commercial contexts, etc. Experience with working in a healthcare setting will be seen as an advantage. You are expected to take a lead role in teaching at the BEng, BSc, MSc, and PhD levels. If you have an international background, DTU can provide Danish language courses enabling you to teach in Danish within 2-3 years. You will be assessed against the responsibilities and qualifications stated above and the following general criteria: Documented experience and quality of teaching and curriculum development Research impact and experience, funding track record and research vision International impact and experience Societal impact Innovativeness, including commercialization and collaboration with industry Leadership, collaboration, and interdisciplinary skills Communication skills Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The salary for the position will be determined by the applicants qualifications and in agreement with the relevant union. Further information on qualification requirements and job content may be found in the Ministerial Order on Job Structure for Academic Staff at Universities . The position in offered as a full employment at DTU under the cooperation program between DTU and Region Zealand of Denmark. The position is offered under the condition that you will work from two workplaces, which means that you have to divide your time between presence at both DTU campus in Lyngby and at Slagelse Hospital. Representatives from Region Zealand Denmark will be part of the hiring process. Further information Further information may be obtained from Head of Management Science Professor Jesper Larsen, tel.: +45 4525 3385, email: jesla@dtu.dk . You can read more about DTU Management at www.man.dtu.dk/english . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 1 September 2021 (Danish time) . Apply online here: Professor in Decision Science in Healthcare Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file . The file must include: Application (cover letter) addressed to the President Vision for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. DTU Management conducts excellent research in the intersection between management, technology and economics. We develop solutions in close cooperation with companies and public authorities. Our research aims at strengthening welfare, productivity and sustainability within the society. A key element is the role of technology and its interaction with industry and individuals. The department’s research is divided in four divisions: Innovation, Management Science, Sustainability and Transport. Furthermore, the department hosts a UN Collaborating Centre. The UN DTU Partnership conducts research, policy analysis and advising on a global scale. The department offers a wide range of courses and programs at bachelor, master and PhD level across DTU’s study programs. DTU Management employs about 300 people. We offer an international environment with around 50 different nationalities represented at the department. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

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