David Ben-Arieh

• PhD Industrial Engineering (Purdue)
• Professor (Full) at Kansas State University

Sepsis is a life-threatening medical emergency, which is a major cause of death worldwide and the second highest cause of mortality in the United States. Researching the optimal control treatment or intervention strategy on the comprehensive sepsis system is key in reducing mortality. For this purpose, first, this paper improves a complex nonlinear...

Bayesian Optimization algorithm has become a promising approach for nonlinear global optimization problems and many machine learning applications. Over the past few years, improvements and enhancements have been brought forward and they have shown some promising results in solving the complex dynamic problems, systems of ordinary differential equat...

This paper investigates the epidemic control problem of the infectious disease epidemic system. The main objective of this paper is to design an epidemic control mechanism based on data instead of the subjective empirical method. Because the uncertainty of future epidemics prevents accurate scheduling for control triggers before an epidemic occurs,...

At present, high-dimensional global optimization problems with time-series models have received much attention from engineering fields. Since it was proposed, Bayesian optimization has quickly become a popular and promising approach for solving global optimization problems. However, the standard Bayesian optimization algorithm is insufficient to so...

This paper presents an Improved Bayesian Optimization (IBO) algorithm to solve complex high-dimensional epidemic models' optimal control solution. Evaluating the total objective function value for disease control models with hundreds of thousands of control time periods is a high computational cost. In this paper, we improve the conventional Bayesi...

Modeling the spread of infectious diseases and social responses is one method that can help public health policy makers improve the control of epidemic outbreaks and make better decisions about vaccination costs, the number of mandatory vaccinations, or investment in media efforts to inform the public of disease threats. Incubation period-the perio...

Visceral leishmaniasis (VL) is a fatal, neglected tropical disease primarily caused by Leishmania dono-vani (L. donovani) and Leishmania infantum (L. infantum). According to VL infectious data reports from severely affected countries, children and teenagers (ages 0-20) have a significantly higher vulnerability to VL infection than other populations...

Treatment strategy of a realistic health care system must consider both system and measurement errors. The traditional optimal control method is commonly applied to deterministic systems instead of dynamic systems with uncertain errors. Therefore, this paper considers uncertain errors and stochastic characteristics in a dynamic health care system a...

During the last decades, spatial games have received great attention from researchers showing the behavior of populations of players over time in a spatial structure. One of the main factors which can greatly affect the behavior of such populations is the updating scheme used to apprise new strategies of players. Synchronous updating is the most co...

Epidemics of infectious disease can be traced back to the early days of mankind. Only in the last two centuries vaccination has become a viable strategy to prevent such epidemics. In addition to the clinical efficacy of this strategy, the behavior and public attitudes affect the success of vaccines. This paper describes modeling the efficacy of vac...

This article presents two new mathematical models, an information forgetting curve (IFC) model and a memory reception fading and cumulating (MRFC) model, to examine forgetting and learning behaviors of individuals during an infectious disease epidemic. Both models consider how epidemic prevalence and community behavior-change information may affect...

As one major neglected tropical disease (NTD), visceral leishmaniasis (VL) is a fatal and deadliest disease, which mainly caused by Leishmania donovani (L. donovani) and Leishmania infantum (L. infantum) according to geographical transmission. By summarizing the VL infectious data reports from severely affected countries, we found that children and...

Individuals experiencing an epidemic may change their behaviors to prevent themselves from infection by balancing the benefits and costs based on the information about the infectious disease. This study incorporated two types of information, local information, which impacts local human contacts, and global information, which impacts people's travel...

This article presents two new mathematical models, an information forgetting curve (IFC) model and a memory reception fading and cumulating (MRFC) model, to examine forgetting and learning behaviors of individuals during an infectious disease epidemic. Both models consider how epidemic prevalence and community behavior-change information may affect...

Modeling a complex chain-effect of biological agents is of great interest to researchers and practitioners. The paper presents such a chain consisting of the tomato spotted wilt virus (TSWV) which is carried by the western flower thrips (WFT) as its host, and infects tomato plants among others. The TSWV is a virus that infects more than 1000 plant...

Modelling the dynamics of evolutionary competing species on a physical grid is a challenging modelling problem. This paper presents a novel modelling approach for synthesizing evolutionary dynamics of competing species using a spatial game perspective. This modelling approach describes the movement of players (‘species’ in our context) across a lat...

This paper proposes a new, information-transmission-based behavior-switch that applies the individual fear factor (IFF) to describe how information regarding current disease epidemics can cause human behavior change in a disease-dynamic system. This research is a first attempt to mathematically model how an individual's emotions influence behavior....

Sepsis is one of the disease with the highest lethally rate, and 24% to 51% sepsis patients met severe criteria within the first 24 hours. This research proposes an evidence based optimal control (EBOC) method, which includes four parts: disease model; data clustering and patterns classification; optimal control; learning sections. The final result...

This paper proposes a new behavior-switch based on SIR model, which describes how the individual fear factor (IFF) affect human behavior. Human behaviors are associated to IFF. Based on the spontaneous human behaviors, IFF is influenced by human knowledge and opinion about information. To best describe IFF can affect human behavior, we propose an e...

This paper presents and compares four mathematical models with unique spatial effects for a prey-predator system, with Tetranychus urticae as prey and Phytoseiulus persimilis as predator. Tetranychus urticae , also known as two-spotted spider mite, is a harmful plant-feeding pest that causes damage to over 300 species of plants. Its predator, Phyto...

Visceral leishmaniasis (VL), a vector-borne disease caused by protozoan flagellates of the genus Leishmania, is transmitted by sand flies. After malaria, VL is the second-largest parasitic killer, responsible for an estimated 500,000 infections and 51,000 deaths annually worldwide. Mathematical models proposed for VL have included the impact of dog...

We present an agent-based model (ABM) to simulate a hepatic inflammatory response (HIR) in a mouse infected by Salmonella that sometimes progressed to problematic proportions, known as “sepsis”. Based on over 200 published studies, this ABM describes interactions among 21 cells or cytokines and incorporates 226 experimental data sets and/or data es...

Comparison of IL-10: TNF-α ratio among healing response, hyperinflammatory response, and organ dysfunction responses vs. the first 14 hrs of infection time. Mean values of IL-10: TNF-α ratios were measured at each simulation time point (replications = 10). (TIF)

Probabilities of leading to heading response, persistent infection, hyperinflammatory response, and organ dysfunction in the presence of Acquired Immunity. Salmonella initial loads range from 200 to 3200 counts. (TIF)

Experimental data and value of system parameters in IMMABM. (DOCX)

Agent Behaviors and Agent Update Rules in IMMABM. (DOCX)

Agent Types and Agent Behaviors in IMMABM Based on Biological Behaviors (Agent types in “Agent Behavior(s)” are highlighted in Italic format, except terminology Salmonella enterica serovar Typhimurium (Salmonella) is Italic format in both “Biological Behavior(s)” and “Agent Behavior(s)”). (DOCX)

In general, sepsis is recognized as the “blood poisoning disease” because sepsis occurs when harmful chemical substances enter the blood. In clinics, sepsis is formally defined as a potentially life-threatening complication of diseases accompanied by symptoms such as high fever, hot flushed skin, elevated heart rate, altered mental status, and so o...

Patients who suffer from sepsis or septic shock are of great concern in the healthcare system. Recent data indicate that more than 900,000 severe sepsis or septic shock cases developed in the United States with mortality rates between 20% and 80%. In the United States alone, almost $17 billion is spent each year for the treatment of patients with s...

Most spatial game analysis assumes that players use a fixed set of strategies. In reality, however, players may change actions or strategies during a game, especially if original strategies are not successful. This paper presents this concept in the context of spatial evolutionary games, demonstrated by a 2 by 2 evolutionary game in which each play...

Patients who have sepsis are most likely to suffer from organ dysfunction. Organ dysfunction caused by sepsis results in high mortality rate and health care financial loss. The complexity of sepsis results in various dynamic patterns of sepsis for individual patients. Agent-based models provide a means to capture complex information in sepsis devel...

Sepsis is a systemic inflammatory response (SIR) to infection. In this work, a system dynamics mathematical model (SDMM) is examined to describe the basic components of SIR and sepsis progression. Both innate and adaptive immunities are included, and simulated results in silico have shown that adaptive immunity has significant impacts on the outcom...

This study is designed to simulate and compare mathematical models that represent a prey-predator system between Tetranychus urticae and Phytoseiulus persimilis. The prey, Tetranychus urticae, also known as a two-spotted spider mite, is a species of a plant-feeding mite known for living as a pest in greenhouses as well as on field-grown crops. Regu...

In this paper, a new behavior-switching based SIR model using spatial evolutionary game is constructed to predict the spread of infectious disease. Information dissemination, as a significant factor which impacts human behaviors, is emphasized in modeling the epidemic dynamics of infectious diseases. Individuals make behavior changes based on the i...

The twospotted spider mite, Tetranychus urticae, is one of the most serious pests that cause damage to crops. Its predator, a mite of the family Phytoseiulus persimilis, plays an important role in keeping the spider mites population under control. In this paper we review three mathematical models developed earlier and add a new model called Integro...

Sepsis is a systemic inflammatory response (SIR) to infection. In this work, a system dynamics mathematical model (SDMM) is examined to describe the basic components of SIR and sepsis progression. Both innate and adaptive immunities are included, and simulated results in silico have shown that adaptive immunity has significant impacts on the outcom...

This paper presents a methodology that combines information transmission, contact networks, and changes of human behaviors in modeling the dynamics of infectious diseases. The methodology presented is based on a spatial evolutionary game with additional information representing human behavior. This approach is used to model the transmission process...

Tomato spotted wilt virus (TSWV) is a plant infecting virus and it impacts many food and ornamental crops, resulting in crop disease epidemics and huge economic loss. TSWV is transmitted exclusively by thrips, the most efficient of which is Western flower thrips, Frankliniella occidentalis (WFT). There is no single management method which can be ad...

In this paper, two mathematical models for vector-borne disease are constructed for the prediction of the transmission of Tomato Spotted Wilt Virus (TSWV) by western flower thrips, Frankliniella occidentalis (WFT), considering time delay effects and age structures. The purpose of the work is to provide mathematical analysis of the model and discuss...

The aim of this paper is to present and compare three mathematical models for a prey-predator system with Tetranychus urticae as prey and Phytoseiulus persimilis as predator. Tetranychus urticae, also known as two-spotted spider mite, is one of the most serious plant-feeding pests that cause damage to crops. Its predator, Phytoseiulus persimilis, i...

Agent-based models (ABMs) are capable of constructing individual system components at different levels of representation to describe non-linear relationships between those components. Compared to a traditional mathematical modeling approach, agent-based models have an inherent spatial component with which they can easily describe local interactions...

Patients who suffer from sepsis or septic shock are clinically in relation to organ dysfunction, which results in high mortality rate and healthcare financial loss. This paper presents a system dynamics mathematical model (SDMM) and a multi-agent-based model (MABM), which model and simulate the human's innate immune responses of sepsis. Our goal wa...

Modeling spatially structured population including human mobility, contact networks, and information transmission networks, can be used as a powerful tool to study the dynamics of infectious diseases and predict the spread of epidemics. When an infectious disease spread out in human communities, individuals may alter their behaviors to protect them...

This research proposes an agent-based simulation model combined with the strength of systemic dynamic mathematical model, providing a new modeling and simulation approach of the pathogenesis of AIR. AIR is the initial stage of a typical sepsis episode, often leading to severe sepsis or septic shocks. The process of AIR has been in the focal point a...

In today’s competitive environment, manufacturing facilities have to be more responsive to the frequent changes in product mix and demand by realigning their organizational structure for minimizing material handling cost. However, manufacturing firms are reluctant to modify the layout as it leads to operation disruption and excess rearrangement cos...

A common concern in acute care wards is the workload on nurses. There are many approaches to measure and control workload including a prescribed patient to nurse ratio. This work analyzes the nurses' workload caused by patients and by excessive walking and reduces it using a zoning concept. Using this approach, nurses are assigned to zones within t...

This paper presents a method for utilizing Data Envelopment Analysis (DEA) with sparse input and output data using fuzzy clustering concepts. DEA, a methodology to assess relative technical efficiency of production units is susceptible to missing data, thus, creating a need to supplement sparse data in a reliable and accurate manner. The approach p...

This is not a work, this is only the cover page with the list of contents of the Volume 63, Issue 1 of the journal "Computers & Industrial Engineering" where the work titled "Mining association rules from time series to explain failures in a hot-dip galvanizing steel line", with doi 10.1016/j.cie.2012.01.013, was published in 2012. The list of con...

Daily global competition forces manufacturers to introduce an increasing number of products with shorter life span and at a lower cost. Moreover,this is achieved in an environment where demands are uncertain and with short lead times. Therefore, the focus of this chapter is a platform based production strategy that would ensure the economic product...

his chapter describes a methodology to reduce patient waiting time in a for-profit ambulatory surgical center. Patients in this facility are scheduled in advance for the various operations, and yet operations start late, last longer than expected creating undesired delays. Although this facility is limited to ambulatory surgery, it provides a large...

Obtaining a group consensus is a critical step in making effective business decisions. In this chapter the consensus process is defined as a dynamic and interactive group decision process, which is coordinated by a moderator, who helps the experts to gradually move their opinions until a consensus is reached. This paper describes the importance of...

This research proposes an agent-based simulation model combined with the strength of systemic dynamic mathematical model, providing a new modeling and simulation approach of the pathogenesis of AIR. AIR is the initial stage of a typical sepsis episode, often leading to severe sepsis or septic shocks. The process of AIR has been in the focal point a...

Today’s globally competitive world of manufacturing requires participating firms to introduce an increasing number of products with shorter life span, at a lower cost, in an environment where demands are uncertain and with shorter lead times to fulfill those demands. One approach towards meeting these demands is the use of mass customization, speci...

Simultaneous optimization of interrelated manufacturing processes viz. part sequencing and operation sequencing is required for the efficient allocation of production resources. Present paper addresses this problem with an integrated approach for Single Stage Multifunctional Machining System (SSMS), and identifies the best part sequence available i...

RATIONALE: Sepsis is of great concern to many healthcare systems since in the United States along more than 750,000 sepsis cases and 250,000 deaths annually while patients are in a hospital. Hence, determining the key factors affecting the development of sepsis and finding the proper care options are essential for treating this disease. This resear...

The purpose of this article is to provide an overview of the field of human factors (HFs) and its role in telehealth. We discuss HF concepts and methodologies that affect the design, implementation, and evaluation of telehealth applications and provide examples from numerous application areas that highlight the significance of HF principles and met...

DEA, a non-parametric methodology to assess efficiency of production units, is quite sensitive to missing data. In this paper, we propose a new approach called Average Ratio Method to replace missing input or output values. This method has several advantages such as being computational efficient, being consistent with the various DEA models and pro...

Manufacturers add numerous product variants to address different customer preferences for mass customization. One approach to implement the mass customization is to develop or produce products based on the platform architecture. A platform is a set of common components, modules or parts shared by product variants in one product family. One product...

Simultaneously optimization of interrelated manufacturing processes viz. part sequencing and operation sequencing is required for the efficient allocation of production resources. Present paper addresses this problem with an integrated approach for Single Stage Multifunctional Machining System (SSMS), and identifies the best part sequence available...

The focus of manufacturing has been shifting from mass production to mass customization and producers are seeking ways to reduce production costs, still offering a competitive basket of products. One approach for implementing mass customization is to develop or produce products based on platform architecture. Variant products make use of the produc...

Group consensus is an important method for making business decisions. In this paper, the consensus process is defined as a dynamic and interactive group decision process, which is coordinated by a moderator who helps the experts to gradually move their opinions closer to each other. This paper describes the importance of group consensus and the nee...

A manufacturing enterprise is a complex hierarchical entity with multiple components that are essential to the success of the firm. Such an enterprise must implement successful strategic and tactical policies at the various levels of the organization. High-level executive strategies determine long-term investment policies, while lower level decisio...

Modern manufacturing systems are facing a globally competitive market to an extent not experienced before. This competitive pressure forces manufacturers to produce more products with shorter life span and better quality, yet at a lower cost. To succeed in this environment, manufacturing firms need to have an accurate estimate of product design and...

Contemporary manufacturing is characterised by fierce competition on price, quality and features offered. Successful manufacturers avoid developing products individually and base their products on a platform, using it as the starting point and then adding or removing components to create the desired variety. In this paper, we select the optimal pla...

Consensus is a pivotal concept in group decision making. Many times, such a consensus is achieved by the experts shifting their opinion towards a point of mutual consent. Such a shift in many cases is the result of laborious negotiations, which escalates the cost of reaching the consensus. Moreover, many times the group decision is multi-criteria o...

Group decision-making problem is a common and crucial human activity. Many times due to inherent uncertainty, exact numbers can be either costly or unnecessary to be applied to express experts’ opinions or preferences. The use of linguistic labels makes expert judgment more reliable and informative for decision-making.This paper presents a new fusi...

Group decision-making is a crucial activity, necessary in many aspects of our civilization. In many cases, due to inherent complexity, experts cannot express their opinion or preferences using exact numbers, thus resorting to a qualitative preference such as linguistic labels. Another complicating factor is the fact that very seldom all individuals...

Group decision making is a common and important activity in everyday life. In many cases, due to inherent uncertainty, experts cannot express their score or preference using exact numbers. The use of linguistic labels makes expert judgment more reliable and informative for decision-making. One of the problems of group decision making in fuzzy domai...

Developments in Multi-Criteria (MCDM) and Multi-Expert decision-making allow for using linguistic quantifiers such as ‘all’, ‘most’, ‘at least half’ and similar terms as quantifiers for the decision. Additionally, new methods of aggregating the various opinions have been developed, giving the decision maker an increasingly large variety of options....

The SPAN (Successive Proportional Additive Numeration or Social Participatory Allocation Network) is a procedure that converts individual judgments into a group decision. The procedure is based on a voting design by which individual experts allocate their votes iteratively between their preferred options and other experts. The process ends when all...

Majority of the products can be assembled in several ways that means the same final product can be realized by different sequences of assembly operations. Different degree of difficulty is associated with each sequence of assembly operation and such difficulties are caused by the different mechanical constraints forced by the different sequences of...

The proliferation and increased precision of global positioning system (GPS) devices enable the technology to be used in new and innovative applications. In the past few years, the Kansas Department of Transportation collected spatial data on a highway system using annual GPS surveys. This research deals with the problem of handling very large amou...

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The recent surge in global competition over manufacturing goods has led to a continued effort to reduce price, improve quality and reach the market faster. An important element of competitive performance is the ability to provide accurate and fast cost estimation. This frontier has been challenged from several directions including development of be...

The generalized traveling salesman problem (GTSP) is stated as follows. Given a weighted complete digraph and a partition V1,…,Vk of its vertices, find a minimum weight cycle containing exactly one vertex from each set . We study transformations from GTSP to TSP. The ‘exact’ Noon–Bean transformation is investigated in computational experiments. We...

Process planning for rotational parts can be described as deciding on the order of machining the various features. However, this problem entails more details since each feature, hypothetically, can be machined by a left- or a right-hand tool, and in many cases, the parts can be chucked from either end. Another complicating factor is that some featu...

The fierce global competition in the international markets forces manufacturers to compete in quality, cost, and the time to market aspects of their products. Knowing the cost of the manufactured components is essential for efficient operation and competitive production.The current evolution of competitive manufacturing requires a shorter market li...

The Space Shuttle has been identified for use through 2020. Payload carrier systems will be needed to support missions through the same time frame. To support the future decision making process with reliable systems, it is necessary to analyze design integrity, identify possible sources of undesirable risk and recognize required upgrades for carrie...

It is commonly accepted today that competitive, service-oriented or manufacturing organizations are overloaded with information to an extent not experienced before. Moreover, technical employees as well as managers at all levels of an organization devote increasing resources to handling this flow of information. While the inundation of information...

The proliferation and increased precision of GPS (Global Positioning System) devices enable the technology to be used in new and innovative applications. In the last few years, Kansas Department of Transportation (KDOT) has developed an effort to map 11,000 miles of Kansas highways using GPS. This research deals with the problem of handling very la...

The fierce global competition forces manufacturers to compete in quality, cost, and time-to-market aspects of their products. Knowing the cost of the manufactured components is essential for efficient operation and competitive production. Activity Based Costing (ABC) has become a mature cost estimation and accounting methodology, but cost estimatio...

This paper presents a distributed Enterprise Resource Planning System under novel deployment considerations. These considerations includes complex data modeling, optimization of various demand chain models, and distributed applications deployment. The results can be categorized in two folds: information system methodologies in support of such a dis...

An effective approach for specifying user requirements in project management is making use of past project cases. Using this approach, the user retrieves similar projects from past cases and compiles the new set of user requirements based on these past cases. The similarity of two projects, which are described and characterized by a set of attribut...

Cost estimation of machined parts is a curial activity in the business cycle of manufacturing finns. Cost estimation, similar to process planning, requires high level of manufacturing expertise, familiarity with the manufacturing resources and consumes considerable resources.

Estimating the manufacturing cost of a machined part is a critical task with high importance to manufacturing firms. Accurate cost estimation is important for cost control, successful bidding for jobs, and maintaining a competitive position in the marketplace. There are three main approaches towards cost estimation: estimation based on past experie...

Group Technology (GT) is a methodology which utilizes the similarity among parts or machine features. As such, the relevant features of the parts have to be considered in order to get the best grouping. In addition, GT methods require that the information is known in advance and remains constant. Contemporary manufacturing, on the other hand, advoc...

Computer-aided process planning is becoming a widely prevalent technology in modern manufacturing systems. The research presented here describes a new methodology for generating process plans based on the analogy deductive paradigm. The method uses rules that represent relations between two shapes and allow inference of the type: shape A is to shap...

Modern manufacturing systems rely on a smooth and quick transformation of the design specification into manufacturing instructions. The shift towards feature-based design and manufacturing supports this effort. One of the weak links in this chain of activities is the conversion of the design features into the manufacturing features. This article pr...

Shop floor control has been a key area for research for several decades. Most of the control methods developed are centralized and static. This paper presents a real-time distributed shop floor control system which dynamically routes and schedules the jobs among several nonidentical candidate machines using real-time information. The approach used...

The classification model based on a decision tree representation offers a solution to the real-time scheduling, sequencing, and routing of jobs on various machines at a manufacturing shop floor. In the paper, a decision tree classifier is induced from data generated from simulation runs of a real-time distributed shop floor control system. The simu...

Group Technology (GT) is a methodology that utilizes the similarity among parts or machine features. As such, the relevant features of the parts have to be considered in order to get the best grouping. This information is required in advance and has to remain constant. Contemporary manufacturing, on the other hand, advocates flexibility with less c...

This article describes a process planning system that utilizes case-based reasoning. The system, CBPlan, uses a feature-based part representation as a key to the case library. This representation is converted into queries that try to find a match in the case library, a match that points to the process plan. If the entire part does not have a match...

Contemporary computer technology allows robotic cells to communicate and cooperate. However, this expanded functionality requires more intelligence and better management of the cooperating robots.This paper presents a software methodology to accommodate real time constraints imposed by cooperating robots, or any other task related constraint. This...

Contemporary Group Technology (GT) methods apply coding schemes as a popular method for capturing the design and manufacturing information pertinent to the parts to be grouped. Coding schemes are very popular and many different coding systems are commercially available. The main disadvantage of current coding systems, however, is their generality a...

Traditionally, the assembly line balancing problem dealt with balancing linear assembly lines given a precedence diagram of the jobs involved. The objective of this problem is either to maximize the workstations throughput, or minimize the number of workstations, given a cycle time. The job times are traditionally assumed to be independent of the a...