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Dr. Yuval Cohen
Department. of Industrial Engineering, Afeka Tel-Aviv College of Engineering, 69988, Tel-Aviv, Israel

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Research Keywords & Expertise

0 Industry 4.0
0 Human–Machine Interaction
0 service science
0 Smart intelligent systems
0 Artificial emotional intelligence

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Industry 4.0
Human–Machine Interaction
Operations management.

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Review
Published: 27 May 2021 in Applied Sciences
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After the Cold War, the defense industries found themselves at a crossroads. However, it seems that they are gaining new momentum, as new technologies such as robotics and artificial intelligence are enabling the development of autonomous, highly innovative and disruptive intelligent systems. Despite this new impetus, there are still doubts about where to invest limited financial resources to boost high-tech defense industries. In order to shed some light on the topic, we decided to conduct a systematic literature review by using the PRISMA protocol and content analysis. The results indicate that autonomous intelligent systems are being developed by the defense industry and categorized into three different modes—fully autonomous operations, partially autonomous operations, and smart autonomous decision-making. In addition, it is also important to note that, at a strategic level of war, there is limited room for automation given the need for human intervention. However, at the tactical level of war, there is a high probability of growth in industrial defense, since, at this level, structured decisions and complex analytical-cognitive tasks are carried out. In the light of carrying out those decisions and tasks, robotics and artificial intelligence can make a contribution far superior to that of human beings.

ACS Style

João Reis; Yuval Cohen; Nuno Melão; Joana Costa; Diana Jorge. High-Tech Defense Industries: Developing Autonomous Intelligent Systems. Applied Sciences 2021, 11, 4920 .

AMA Style

João Reis, Yuval Cohen, Nuno Melão, Joana Costa, Diana Jorge. High-Tech Defense Industries: Developing Autonomous Intelligent Systems. Applied Sciences. 2021; 11 (11):4920.

Chicago/Turabian Style

João Reis; Yuval Cohen; Nuno Melão; Joana Costa; Diana Jorge. 2021. "High-Tech Defense Industries: Developing Autonomous Intelligent Systems." Applied Sciences 11, no. 11: 4920.

Article
Published: 07 April 2021 in Journal of Intelligent Manufacturing
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ACS Style

Ahmad Barari; Marcos De Sales Guerra Tsuzuki; Yuval Cohen; Marco Macchi. Editorial: intelligent manufacturing systems towards industry 4.0 era. Journal of Intelligent Manufacturing 2021, 32, 1793 -1796.

AMA Style

Ahmad Barari, Marcos De Sales Guerra Tsuzuki, Yuval Cohen, Marco Macchi. Editorial: intelligent manufacturing systems towards industry 4.0 era. Journal of Intelligent Manufacturing. 2021; 32 (7):1793-1796.

Chicago/Turabian Style

Ahmad Barari; Marcos De Sales Guerra Tsuzuki; Yuval Cohen; Marco Macchi. 2021. "Editorial: intelligent manufacturing systems towards industry 4.0 era." Journal of Intelligent Manufacturing 32, no. 7: 1793-1796.

Journal article
Published: 12 March 2021 in Information
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The preliminary credibility assessment screening system (PCASS) is a US-based program, which is currently being implemented by intelligence units of the North Atlantic Treaty Organization (NATO) to make the initial screening of individuals suspected of infiltrating the Afghan National Defense and Security Forces (ANDSF). Sensors have been instrumental in the PCASS, leading to organizational change. The aim of this research is to describe how the ANDSF adapted to the implementation of PCASS, as well as implemented changes since the beginning of the program. To do so, we have conducted a qualitative, exploratory, and descriptive case study that allows one to understand, through the use of a series of data collection sources, a real-life phenomenon of which little is known. The results suggest that the sensors used in PCASS empower security forces with reliable technologies to identify and neutralize internal threats. It then becomes evident that the technological leadership that PCASS provides allows the developing of a relatively stable and consistent organizational change, fulfilling the objectives of the NATO and the ANDSF.

ACS Style

João Reis; Marlene Amorim; Nuno Melão; Yuval Cohen; Joana Costa. Counterintelligence Technologies: An Exploratory Case Study of Preliminary Credibility Assessment Screening System in the Afghan National Defense and Security Forces. Information 2021, 12, 122 .

AMA Style

João Reis, Marlene Amorim, Nuno Melão, Yuval Cohen, Joana Costa. Counterintelligence Technologies: An Exploratory Case Study of Preliminary Credibility Assessment Screening System in the Afghan National Defense and Security Forces. Information. 2021; 12 (3):122.

Chicago/Turabian Style

João Reis; Marlene Amorim; Nuno Melão; Yuval Cohen; Joana Costa. 2021. "Counterintelligence Technologies: An Exploratory Case Study of Preliminary Credibility Assessment Screening System in the Afghan National Defense and Security Forces." Information 12, no. 3: 122.

Editorial
Published: 04 March 2021 in Journal of Intelligent Manufacturing
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This paper presents a smart supervisory framework for a single process controller, designed for Industry 4.0 shop floors. This digitization of a full supervisory suite for a single process controller enables self-awareness, self-diagnosis, self-prognosis, and self-healing (by definition, these "self" elements are missing from other supervisory frameworks diagnosing numerous controllers in parallel). The proposed framework is aligned with the concept of a Cyber Physical System (CPS), since its implementation generates a rich cyber physical entity of the controlled process. This CPS entity can either be considered as the process digital twin, or can provide a solid basis for generating it. Finally, the framework includes the main characteristics of Industry 4.0, such as advanced use of Artificial Intelligence (AI) and big data analysis. The framework is based on four modules: (1) Control and Awareness module—performing both continuous process control and adjustments, as well as machine learning (ML) and statistical process control (SPC) for identifying abnormalities that require further diagnosis; (2) Process -diagnosis module—performing continual (recurrent) analysis of the process state and trends; (3) Prognosis and Healing module—performing prognosis and automated intervention via parameter changes, re-configurations, and automated maintenance; (4) External Interaction Platform—an interactive module for interfacing with experts, presenting them with the process analysis information and obtaining feedback from them as part of a learning process. Using an implementation showcase to illustrate the methodological framework’s applicability, we demonstrate its real-world potential. The proposed framework could serve as a guide for implementing smart process control and maintenance systems in Industry 4.0 shop floors. It could also provide a firm basis for comparison with future suggested frameworks. Future research directions could include pursuing improvements to the proposed process control framework and validating the framework by case studies of its implementation.

ACS Style

Yuval Cohen; Gonen Singer. A smart process controller framework for Industry 4.0 settings. Journal of Intelligent Manufacturing 2021, 32, 1975 -1995.

AMA Style

Yuval Cohen, Gonen Singer. A smart process controller framework for Industry 4.0 settings. Journal of Intelligent Manufacturing. 2021; 32 (7):1975-1995.

Chicago/Turabian Style

Yuval Cohen; Gonen Singer. 2021. "A smart process controller framework for Industry 4.0 settings." Journal of Intelligent Manufacturing 32, no. 7: 1975-1995.

Articles
Published: 14 January 2021 in International Journal of Production Research
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Collaborative robots (cobots) are important components of the Industry 4.0 paradigm and smart manufacturing. Cobots are known for their ability to interact with the operators in a shared workspace. Due to their spread in the last decade, cobot research proliferated. However, most individual studies focused on specific aspects of cobot deployment, and only scant attention was given to their evaluation (mostly not based on productivity criteria). Thus, better support is needed for cobot acquisition and deployment decisions. This paper answers this need by presenting a summary of the major considerations related to cobots acquisition and deployment, and providing a productivity analysis procedure that supports cobot acquisition and deployment decisions. Defining the cobots’ required characteristics and capabilities, effectively narrows the possible selection of cobots. However, it does not give information as to the economic value of acquiring and deploying a specific cobot. So, in addition to cobots’ characteristics and capabilities, this paper presents computational techniques to analyse and support this decision for a single workstation per se, and for a station in an assembly line. The difference between these two cases is discussed and analysed, and corresponding models are presented with computational examples.

ACS Style

Yuval Cohen; Shraga Shoval; Maurizio Faccio; Riccardo Minto. Deploying cobots in collaborative systems: major considerations and productivity analysis. International Journal of Production Research 2021, 1 -17.

AMA Style

Yuval Cohen, Shraga Shoval, Maurizio Faccio, Riccardo Minto. Deploying cobots in collaborative systems: major considerations and productivity analysis. International Journal of Production Research. 2021; ():1-17.

Chicago/Turabian Style

Yuval Cohen; Shraga Shoval; Maurizio Faccio; Riccardo Minto. 2021. "Deploying cobots in collaborative systems: major considerations and productivity analysis." International Journal of Production Research , no. : 1-17.

Conference paper
Published: 09 January 2020 in Business Information Systems
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This study characterizes call-center workload as a daily profile, and tests the effects of the “day-of-the-week” on the daily load profile. It then, tests the hypothesis that the service load of incoming calls is correlated with the number of abandoned calls. The analysis main conclusions are: (1) Regular workdays share similar hourly call profile, and same rush hours. (2) Weekend hourly profile is substantially different than the workdays’ profiles. (3) Regular workdays share similar profile of hourly abandoned calls. (4) There is a strong correlation between load profiles and profiles of abandoned calls. The discussion which follows summarizes the findings, reports on the same findings at another call center, and suggest a technique for curve fitting to the demand profile, and for computing the required workforce. The analysis process and the workforce planning could be applied on other call centers, and used as a basis for comparison.

ACS Style

Yuval Cohen; João Carlos Gonçalves dos Reis; Marlene Amorim. Empirical Analysis of Call Center Load & Service Level for Shift Planning. Business Information Systems 2020, 79 -91.

AMA Style

Yuval Cohen, João Carlos Gonçalves dos Reis, Marlene Amorim. Empirical Analysis of Call Center Load & Service Level for Shift Planning. Business Information Systems. 2020; ():79-91.

Chicago/Turabian Style

Yuval Cohen; João Carlos Gonçalves dos Reis; Marlene Amorim. 2020. "Empirical Analysis of Call Center Load & Service Level for Shift Planning." Business Information Systems , no. : 79-91.

Journal article
Published: 01 January 2020 in IFAC-PapersOnLine
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This paper discusses a new strategy for deploying cobots in assembly lines having manual stations. The paper first presents the contribution of absenteeism to the temporary appearance of bottleneck stations and the resulted lost throughput. It then delineates some barriers and obstacles of cobots’ deployment in these stations. Finally, it discusses the advantages of employing a cobot-specialist for a defined segment of the assembly line. The suggested role of the cobot-specialist is to quickly find ways in which a cobot will alleviate the work of a temporary workers filling positions of absentees. Such replacement workers are in their early stages of their learning curve, and are considerably slow, with high chances of becoming a bottleneck. A bottleneck station dictates the pace of the whole line and reducing its cycle-time, increases the throughput of the whole line. Thus, the suggested approach prevents throughput losses due to absenteeism. Having a line-segment specialist that is familiar with the various stations in his/her segment ensures both having some pre-prepared schemes of cobot deployment for each station, and the ability of rapid installation of the cobot. Moreover, replacement workers typically are too busy to deal with the cobot’s installation or operation. The approach is validated using ARENA simulation scenarios for various line segments.

ACS Style

Yuval Cohen; Shraga Shoval. A New Cobot Deployment Strategy in Manual Assembly Stations: Countering the Impact of Absenteeism. IFAC-PapersOnLine 2020, 53, 10275 -10278.

AMA Style

Yuval Cohen, Shraga Shoval. A New Cobot Deployment Strategy in Manual Assembly Stations: Countering the Impact of Absenteeism. IFAC-PapersOnLine. 2020; 53 (2):10275-10278.

Chicago/Turabian Style

Yuval Cohen; Shraga Shoval. 2020. "A New Cobot Deployment Strategy in Manual Assembly Stations: Countering the Impact of Absenteeism." IFAC-PapersOnLine 53, no. 2: 10275-10278.

Journal article
Published: 25 December 2019 in IFAC-PapersOnLine
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Collaborative robots (cobots) are intended to physically interact with humans in a shared workspace. While cobots research proliferated in the recent decade, only scant attention was given to the strategic consideration of deploying them. The obvious strategic consideration is related to economic cost-benefits trade-off. However, the economic decision is tightly tied to the technology improvement rate, as cobots lifetime expectancy strongly depend on the technological developments. In this regard, the difference between different types of cobots may be dramatic. Another strategic issue is the sociological effects including the reaction of the operators and unions to cobot deployment. This paper reviews the related literature and proposes a model to analyze the underlying factors and facilitate the decision making process of: where and when to deploy which cobots.

ACS Style

Yuval Cohen; Shraga Shoval; Maurizio Faccio. Strategic View on Cobot Deployment in Assembly 4.0 Systems. IFAC-PapersOnLine 2019, 52, 1519 -1524.

AMA Style

Yuval Cohen, Shraga Shoval, Maurizio Faccio. Strategic View on Cobot Deployment in Assembly 4.0 Systems. IFAC-PapersOnLine. 2019; 52 (13):1519-1524.

Chicago/Turabian Style

Yuval Cohen; Shraga Shoval; Maurizio Faccio. 2019. "Strategic View on Cobot Deployment in Assembly 4.0 Systems." IFAC-PapersOnLine 52, no. 13: 1519-1524.

Journal article
Published: 25 December 2019 in IFAC-PapersOnLine
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Self-awareness and awareness as a whole are important components of artificial intelligence (AI). In particular, awareness is a central pillar of Industry 4.0. This paper reviews the literature related to smart awareness of machines and parts, and draws the hierarchy of smart awareness evolution. The paper suggests an ordered hierarchy of awareness starting with the single sensor and ending with a machine-cell. The paper discuss the awareness issues related to entities in various awareness types, such as: self-awareness, through self-configuration, self-healing, and self-organizing. The paper discusses the issues related to the awareness of: sensors, parts, sub-assemblies, products, machines, and machine cells. These entities have some awareness differences and some awareness similarities discussed in this paper.

ACS Style

Yuval Cohen; Maurizio Faccio; Amir Elaluf. Hierarchy of Smart Awareness in Assembly 4.0 Systems. IFAC-PapersOnLine 2019, 52, 1508 -1512.

AMA Style

Yuval Cohen, Maurizio Faccio, Amir Elaluf. Hierarchy of Smart Awareness in Assembly 4.0 Systems. IFAC-PapersOnLine. 2019; 52 (13):1508-1512.

Chicago/Turabian Style

Yuval Cohen; Maurizio Faccio; Amir Elaluf. 2019. "Hierarchy of Smart Awareness in Assembly 4.0 Systems." IFAC-PapersOnLine 52, no. 13: 1508-1512.

Original article
Published: 05 August 2019 in The International Journal of Advanced Manufacturing Technology
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The 4th industrial revolution (Industry 4.0, I4.0) is based upon the penetration of many new technologies to the industrial world. These technologies are posed to fundamentally change assembly lines around the world. Assembly systems transformed by I4.0 technology integration are referred to here as Assembly 4.0 (A4.0). While most I4.0 new technologies are known, and their integration into shop floors is ongoing or imminent, there is a gap between this knowledge and understanding the form and the impact of their full implementation in assembly systems. The path from the new technological abilities to improved productivity and profitability has not been well understood and has some missing parts. This paper strives to close a significant part of this gap by creating a road map to understand and explore the impact of typical I4.0 new technologies on A4.0 systems. In particular, the paper explores three impact levels: strategic, tactical, and operational. On the strategic level, we explore aspects related to the design of the product, process, and the assembly system. Additionally, the paper elaborates on likely changes in assembly design aspects, due to the flexibility and capabilities that these new technologies will bring. Strategic design also deals with planning and realizing the potential of interactions between sub-assembly lines, kitting lines, and the main assembly lines. On the tactical level, we explore the impact of policies and methodologies in planning assembly lines. Finally, on the operational level, we explore how these new capabilities may affect part routing and scheduling including cases of disruptions and machine failures. We qualitatively assess the impact on performance in terms of overall flow time and ability to handle a wide variety of end products. We point out the cases where clear performance improvement is expected due to the integration of the new technologies. We conclude by identifying research opportunities and challenges for advanced assembly systems.

ACS Style

Yuval Cohen; Hussein Naseraldin; Atanu Chaudhuri; Francesco Pilati. Assembly systems in Industry 4.0 era: a road map to understand Assembly 4.0. The International Journal of Advanced Manufacturing Technology 2019, 105, 4037 -4054.

AMA Style

Yuval Cohen, Hussein Naseraldin, Atanu Chaudhuri, Francesco Pilati. Assembly systems in Industry 4.0 era: a road map to understand Assembly 4.0. The International Journal of Advanced Manufacturing Technology. 2019; 105 (9):4037-4054.

Chicago/Turabian Style

Yuval Cohen; Hussein Naseraldin; Atanu Chaudhuri; Francesco Pilati. 2019. "Assembly systems in Industry 4.0 era: a road map to understand Assembly 4.0." The International Journal of Advanced Manufacturing Technology 105, no. 9: 4037-4054.

Journal article
Published: 11 July 2019 in International Journal of Production Research
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ACS Style

Maya Golan; Yuval Cohen; Gonen Singer. A framework for operator – workstation interaction in Industry 4.0. International Journal of Production Research 2019, 58, 2421 -2432.

AMA Style

Maya Golan, Yuval Cohen, Gonen Singer. A framework for operator – workstation interaction in Industry 4.0. International Journal of Production Research. 2019; 58 (8):2421-2432.

Chicago/Turabian Style

Maya Golan; Yuval Cohen; Gonen Singer. 2019. "A framework for operator – workstation interaction in Industry 4.0." International Journal of Production Research 58, no. 8: 2421-2432.

Chapter
Published: 01 January 2019 in Advances in Marketing, Customer Relationship Management, and E-Services
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Cloud computing consumers wish to minimize their costs. Minimization depends on the technological infrastructure operated by providers. Cloud computing services are composed of services organized according to a hierarchy of software services, platforms, and infrastructures. Providers offer software services as bundles of services which include software, platform, and infrastructures. Bundling prevents customers from splitting their service purchases between different providers. Bundling policy is likely to change in the long run since it contradicts economic competition. This chapter assumes that in the future market forces will push providers to act in a free competitive market. The proposed model is aimed at the potential customer who wishes to find the optimal combination of service providers which minimizes his costs. The model suggests two possible strategies for implementation in organizations.

ACS Style

Eli Weintraub; Yuval Cohen. Optimizing Cloud Computing Costs of Services for Consumers. Advances in Marketing, Customer Relationship Management, and E-Services 2019, 83 -96.

AMA Style

Eli Weintraub, Yuval Cohen. Optimizing Cloud Computing Costs of Services for Consumers. Advances in Marketing, Customer Relationship Management, and E-Services. 2019; ():83-96.

Chicago/Turabian Style

Eli Weintraub; Yuval Cohen. 2019. "Optimizing Cloud Computing Costs of Services for Consumers." Advances in Marketing, Customer Relationship Management, and E-Services , no. : 83-96.

Journal article
Published: 01 October 2018 in International Journal of Information Systems and Social Change
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This article is based on an analysis of empirical data on various service demand patterns such as electricity and water consumption, banks, hospitals, communications and others. The research findings show similar patterns of demand for various different services in different parts of the world. The patterns reflect the relevant population's level of activity. Daytime services have typical peak hours during a workday. This is nicely explained by what the authors call the ‘Demand Biorhythm.' Many daytime services experience a double hump demand, whereas in the US the service demand may also have a single hump. The analysis shows a striking demand similarity of the same weekdays, and a significant difference between the demand of workdays and weekend days. Also, the first day of the week always experiences a demand surge. The article discusses ways to efficiently plan the service workforce and capacity based on the relevant demand patterns.

ACS Style

Yuval Cohen; Shai Rozenes. Demand Biorhythm Estimation for Setting Service Capacity. International Journal of Information Systems and Social Change 2018, 9, 30 -44.

AMA Style

Yuval Cohen, Shai Rozenes. Demand Biorhythm Estimation for Setting Service Capacity. International Journal of Information Systems and Social Change. 2018; 9 (4):30-44.

Chicago/Turabian Style

Yuval Cohen; Shai Rozenes. 2018. "Demand Biorhythm Estimation for Setting Service Capacity." International Journal of Information Systems and Social Change 9, no. 4: 30-44.

Conference paper
Published: 19 September 2018 in Lecture Notes in Management and Industrial Engineering
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This research draws on theories in discrete event simulation, order statistics and record-breaking statistics to develop a methodology for deciding when to stop a combinatorial optimization search. During the first optimization period, the objective function improves rapidly with the iterations, and the improvement slows gradually until it almost stalls. We adopt a popular method to detect the period of rapid improvements of the “warm-up period”, and then we propose a special control chart technique to identify with a given certainty reaching a steady state. Then, we suggest using the theory of record-breaking to decide on a stopping criterion. In addition, the paper develops estimates for the optimum bounds and estimates for value and timing of the next expected improvement. The advantages of this approach are discussed.

ACS Style

Yuval Cohen; Roy Gelbard; Marlene Amorim. When to Stop? A New Stop Criterion for Combinatorial Optimization Search Techniques. Lecture Notes in Management and Industrial Engineering 2018, 211 -218.

AMA Style

Yuval Cohen, Roy Gelbard, Marlene Amorim. When to Stop? A New Stop Criterion for Combinatorial Optimization Search Techniques. Lecture Notes in Management and Industrial Engineering. 2018; ():211-218.

Chicago/Turabian Style

Yuval Cohen; Roy Gelbard; Marlene Amorim. 2018. "When to Stop? A New Stop Criterion for Combinatorial Optimization Search Techniques." Lecture Notes in Management and Industrial Engineering , no. : 211-218.

Journal article
Published: 06 September 2018 in IFAC-PapersOnLine
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Currently machine operator interface is mainly focused on providing the operator with easy control over the production processes and easy access to related information. However, myriad of recent technological advances in variety of fields including AI, raise the question of what could be added to the operator-machine interaction capabilities and how. This article explores the possibilities to harness new capabilities in cognitive and behavioral knowledge as well as AI and “Industry 4.0” literature in order to outline the architectural framework and capabilities of future work-station‒operator interaction as a principal component of the human‒machine interaction in the “Industry 4.0” era. The proposed system is named “Workstation‒Operator Interaction 4.0” (WOI 4.0). The equipment’s capabilities allows an adaptive ongoing interaction that aims to improve operator performance, safety, well-being, and satisfaction, as well as production measures. The paper describes the main elements of the proposed WOI 4.0 architecture, and illustrates a case of smart machine‒operator interactions. The contributions, limitations, and implications of the proposed WOI 4.0 system in the “Industry 4.0” arena are discussed, and future research directions are presented.

ACS Style

Yuval Cohen; Maya Golan; Gonen Singer; Maurizio Faccio. Workstation‒Operator Interaction in 4.0 Era: WOI 4.0. IFAC-PapersOnLine 2018, 51, 399 -404.

AMA Style

Yuval Cohen, Maya Golan, Gonen Singer, Maurizio Faccio. Workstation‒Operator Interaction in 4.0 Era: WOI 4.0. IFAC-PapersOnLine. 2018; 51 (11):399-404.

Chicago/Turabian Style

Yuval Cohen; Maya Golan; Gonen Singer; Maurizio Faccio. 2018. "Workstation‒Operator Interaction in 4.0 Era: WOI 4.0." IFAC-PapersOnLine 51, no. 11: 399-404.

Journal article
Published: 01 April 2018 in Computers & Industrial Engineering
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This paper presents a novel method for solving the previously un-researched problem of multi-release work plan (MRWP). The research also suggests a technique for improving the run-time of metaheuristic search optimizations for this problem. The MRWP is required for many products and R&D projects that are characterized by a long-term planning horizon, spaced by intermediate releases. The intermediate releases enable the organization to keep its liquidity and survive and materialize the value for a given investment. The inclusion of features in a certain release impacts the value of the release, impacts the required workload, and impacts future development of other features. This problem is NP-hard. Thus, practical instances of this problem cannot be solved optimally in polynomial time. In this paper, we apply a clustering algorithm, based on novel similarity coefficients to reduce complexity and accelerate the convergence of a clonal selection search algorithm. Our goal is to provide a near-optimal yet simple method for quantitatively determining the feature content of all project releases. The four versions of the proposed algorithms are tested on a newly-developed set of instances and the results show the advantages of the combination of clustering mutations and random mutations over the pure cluster-based search. To examine the optimality-gap, a sample of benchmark MRWP solutions was generated. These solutions were obtained by a specially developed branch and bound algorithm developed for this study. The comparison of the optimal results to the metaheuristic results, proved that the metaheuristic yields optimal solutions in small problems, and their performance deteriorates slightly as the problem grows.

ACS Style

Ran Etgar; Roy Gelbard; Yuval Cohen. Feature assignment in multi-release work plan: Accelerating optimization using gene clustering. Computers & Industrial Engineering 2018, 118, 123 -137.

AMA Style

Ran Etgar, Roy Gelbard, Yuval Cohen. Feature assignment in multi-release work plan: Accelerating optimization using gene clustering. Computers & Industrial Engineering. 2018; 118 ():123-137.

Chicago/Turabian Style

Ran Etgar; Roy Gelbard; Yuval Cohen. 2018. "Feature assignment in multi-release work plan: Accelerating optimization using gene clustering." Computers & Industrial Engineering 118, no. : 123-137.

Chapter
Published: 01 January 2018 in Encyclopedia of Information Science and Technology, Fourth Edition
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Cloud computing consumers wish to minimize their costs. Minimization depends on the technological infrastructure operated by providers. Cloud computing services are composed of services organized according to a hierarchy of software services, platforms and infrastructures. Providers offer software services as bundles of services which include software, platform and infrastructures. Bundling prevents customers from splitting their service purchases between different providers. Bundling policy is likely to change in the long run since it contradicts economic competition. This paper assumes that in the future market forces will push providers to act in a free competitive market. The proposed model is aimed at the potential customer who wishes to find the optimal combination of service providers which minimizes his costs. The model suggests two possible strategies for implementation in organizations.

ACS Style

Eli Weintraub; Yuval Cohen; D.B.A. Mehdi Khosrow-Pour. Optimizing Cloud Computing Costs of Services for Consumers. Encyclopedia of Information Science and Technology, Fourth Edition 2018, 1627 -1637.

AMA Style

Eli Weintraub, Yuval Cohen, D.B.A. Mehdi Khosrow-Pour. Optimizing Cloud Computing Costs of Services for Consumers. Encyclopedia of Information Science and Technology, Fourth Edition. 2018; ():1627-1637.

Chicago/Turabian Style

Eli Weintraub; Yuval Cohen; D.B.A. Mehdi Khosrow-Pour. 2018. "Optimizing Cloud Computing Costs of Services for Consumers." Encyclopedia of Information Science and Technology, Fourth Edition , no. : 1627-1637.

Journal article
Published: 01 January 2018 in International Journal of Advanced Computer Science and Applications
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Organizations are exposed to cyber-attacks on a regular basis. Managers in these organizations are using scoring systems to evaluate the risks of the attacks they are exposed to. Information security methodologies define three major security objectives: confidentiality, integrity and availability. This work is focused on defining new network exposure measures affecting the availability. According to existing security scoring models network exposure risks are assessed by assigning availability measures on an ordinal scale using users’ subjective assessment. In this work quantitative objective measures are defined and presented, based on the specific organizational network, thus improving accuracy of the scores computed by the current security risk scoring models.

ACS Style

Eli Weintraub; Yuval Cohen. Defining Network Exposure Metrics in Security Risk Scoring Models. International Journal of Advanced Computer Science and Applications 2018, 9, 1 .

AMA Style

Eli Weintraub, Yuval Cohen. Defining Network Exposure Metrics in Security Risk Scoring Models. International Journal of Advanced Computer Science and Applications. 2018; 9 (4):1.

Chicago/Turabian Style

Eli Weintraub; Yuval Cohen. 2018. "Defining Network Exposure Metrics in Security Risk Scoring Models." International Journal of Advanced Computer Science and Applications 9, no. 4: 1.

Journal article
Published: 01 December 2017 in Universal Journal of Management
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While traditional project management advocates sticking to a baseline plan (composed of budget, schedule and specifications) this paper suggests a new planning approach that includes re-evaluation and optimizes the project's value while allowing strategic changes in the project scope, budget and schedule. The proposed optimization allows taking into account not only the project, but also the long term impact of changes on cash-flows, product reliability, firm reputation, and customer satisfaction. Such changes are not part of the traditional project management approach of sticking to the baseline and eliminating a scope creep. Such a new approach enables dealing with many important changes that occur during long term projects. This is particularly important in projects with large amount of uncertainty where new knowledge is revealed or discovered during the project lifespan, and significant events occur that impact the project or its deliverables. The paper analyses the factors that make this approach desirable and the type of projects where this approach would be especially attractive.

ACS Style

Yuval Cohen; Shai Rozenes; Roni Horowitz. Integrating Strategic Considerations and Value Co-creation in Project Management. Universal Journal of Management 2017, 5, 94 -99.

AMA Style

Yuval Cohen, Shai Rozenes, Roni Horowitz. Integrating Strategic Considerations and Value Co-creation in Project Management. Universal Journal of Management. 2017; 5 (2):94-99.

Chicago/Turabian Style

Yuval Cohen; Shai Rozenes; Roni Horowitz. 2017. "Integrating Strategic Considerations and Value Co-creation in Project Management." Universal Journal of Management 5, no. 2: 94-99.

Original articles
Published: 23 November 2017 in International Journal of Production Research
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This paper presents a novel technique for improving the runtime of metaheuristic search optimisations. The technique was applied on a new practical problem: several-release-problem (SRP) that characterises the modern industry. Many modern products are replaced by their next version due to incessant R&D activity, resulting in a short marketable life length. There are numerous such examples including the automotive industry, electronic devices and software products. These intermediate releases enable organisations to maximise their value for a given investment. The challenge faced by the industry is to decide which features to include in which version. The paper proves that SRP is NP-hard, thus cannot be solved practically using analytical approaches. A near-optimal, simple technique for determining the feature content of all version releases of the planning horizon is presented. The innovative approach utilises techniques adopted from the clustering domain to enhance the optimisation. The clustering enables skipping significant amounts of unattractive zones of the space. Verification and validation of the proposed technique are presented. The paper compares different heuristics and the shows that embedding the suggested clustering into general methods, yields significantly shorter runtime, and improves the solution’s quality. The enhancement technique can be applied to other combinatorial problems and metaheuristics.

ACS Style

Ran Etgar; Roy Gelbard; Yuval Cohen. Presenting the several-release-problem and its cluster-based solution accelartion. International Journal of Production Research 2017, 57, 4413 -4434.

AMA Style

Ran Etgar, Roy Gelbard, Yuval Cohen. Presenting the several-release-problem and its cluster-based solution accelartion. International Journal of Production Research. 2017; 57 (14):4413-4434.

Chicago/Turabian Style

Ran Etgar; Roy Gelbard; Yuval Cohen. 2017. "Presenting the several-release-problem and its cluster-based solution accelartion." International Journal of Production Research 57, no. 14: 4413-4434.