KROMITE consultants actively publish.

Here are a few standouts.

December 02, 2019


INFORMS 2019 Winter Simulation Conference Publication

The manufacture of granular or particulate products is difficult to understand and predict due to the complex nature of solid materials compared to that of liquids or gases. Particulate processes have risks of segregation, particle breakage, and complex flow behavior.  The application of a hybrid discrete rate and population balance simulation model to a high shear agglomeration process provides in-depth and dynamic insight into how a non-homogeneous product behaves across the entire process in addition to the individual process component level.

June 01, 2018

Exploring the Role of Set-Based Design in Trade-Off Analytics

This paper provides a literature review of published SBD research, and then focuses on developing trade-off analytics to support SBD decision-making to define value, evaluate sets, incorporate new information, and eliminate sets. The proposed approach is to align SBD terms with common systems engineering terms; identify a process to create design sets; develop a mathematical foundation for SBD evaluation in the cost versus value space; and illustrate how trade-off analytics can support SBD decision-making. This paper concludes that trade-off analytics provides a consistent and credible tool to perform trade-off analyses for SBD.

Evaluating the Impact of Pharmacies on Pandemic Influenza Vaccine Administration

The objective of this study was to quantify the potential retail pharmacy vaccine administration capacity and its possible impact on pandemic influenza vaccine uptake.

We developed a discrete event simulation model by use of ExtendSim software (Imagine That Inc, San Jose, CA) to forecast the potential effect of retail pharmacy vaccine administration on total weekly vaccine administration and the time needed to reach 80% vaccination coverage with a single dose of vaccine per person.

Results showed that weekly national vaccine administration capacity increased to 25 million doses per week when retail pharmacist vaccination capacity was included in the model. 

Pharmacists can increase the numbers of pandemic influenza vaccine doses administered and reduce the time to achieve 80% single-dose coverage. These results support efforts to ensure pharmacist vaccinators are integrated into pandemic vaccine response planning. (Disaster Med Public Health Preparedness. 2017;page 1 of 7)

Advanced Analytics for Agricultural Product Development

Kromite makes the cut for INFORMS "Feeding the World with Analytics". This selective multi-media compilation of timely INFORMS and non-INFORMS content highlights how operations research and analytics are being used to address challenges in our agri-food system

An Empirical Examination of Multiple Objective Risk Attitudes

We experimentally examined the relationships between the measurable value and utility functions of a non-monetary multidimensional decision situation for a number of subjects. The methods of probability equivalent and certainty equivalent utility elicitation provided similar results, which differs from previous work using economic decisions.

Indication Sequencing for a New Molecular Entity with Multiple Potential Oncology Indications

In this chapter, published as part of Optimization of Pharmaceutical R&D Programs and Portfolios, Kloeber, Stojanovic and Kim address portfolio optimization at a sub-portfolio level.

Portfolio Decision Analysis: Improved Methods for Resource Allocation

Portfolio Decision Analysis: Improved Methods for Resource Allocation provides an extensive, up-to-date coverage of decision analytic methods which help firms and public organizations allocate resources to "lumpy" investment opportunities while explicitly recognizing relevant financial and non-financial evaluation criteria and the presence of alternative investment opportunities.

A Global Approach to Discrete-Rate Simulation

Before the introduction of discrete rate simulation (DRS), simulating mixed continuous and discrete event (hybrid) systems presented unique challenges that existing simulation methodologies were not suited or adaptable enough to solve. In the 1990’s a new simulation methodology, discrete rate simulation, was developed to address those issues. The most challenging aspect of discrete rate simulation is to accurately calculate the movement of material (“flow”) over a wide range of simulated systems. To calculate flow rates, the first generation DRS technology used an iterative algorithm based on the propagation of potential rates. The iterative approach failed to provide an accurate calculation of flow for many DRS models, limiting the use of this technology to a small range of real world problems. Discussed here is how the second generation DRS technology uses a global oversight approach to model the full range of DRS systems and resolve the issues associated with earlier methods.

Roadmap to Success: Your First Simulation Model

Success in your first simulation model is crucial for the overall prospects of a new simulation program. Here we will outline the building of your first simulation model with emphasis on the overall process and what it takes to be a successful model builder.

Beyond the University: Simulation Education on the Job

Simulation modelers have a diversity of educational backgrounds including several engineering and scientific disciplines, mathematics and computer related fields. Many of the skills required to achieve modeling proficiency are learned “on the job”. Emerging trends in the demand for more complex and fully automated simulation applications are requiring simulators to develop a working knowledge of a much broader range of software technologies and modeling methodologies. Unfortunately, there are no structured educational programs for acquiring and developing these skills. Simulation apprenticeships provide an effective means for acquiring many of the essential and emerging simulation skills that are not delivered through conventional educational methods.

A Message-Based Discrete Event Simulation Architecture

This paper presents a message-based discrete event simulation architecture. It will examine each of the different types of messages used to schedule events, transfer items through the model, and resolve logic issues. Additional information is also presented on the supporting data structures.

Debugging Simulation Models

While much has been written about model validation and verification, the actual process of correcting, or debugging, a model is presented as an afterthought. This paper will describe different types of bugs and will present techniques, drawn from both the simulation modeling and application programming worlds, for determining the cause of an error in the model.

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Other Recommended Publications:

Handbook of Decision Analysis

The Handbook of Decision Analysis is a one of a kind guide to the best practices in decision analysis.  

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