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Caroline C. Krejci
Industrial, Manufacturing, and Systems Engineering, University of Texas at Arlington, Arlington, TX, USA

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Journal article
Published: 16 July 2021 in European Journal of Engineering Education
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Policymakers and industry representatives have called for an increase in the number of engineering graduates, but many students, even in their final year of their programs, remain unsure of their plans to enter engineering as a career. The research question guiding this study is: how do changes in students’ perceptions of the field of engineering relate to how they describe their development of engineering identity? To address this question, focus group interviews were conducted with 62 students across 15 engineering majors and three universities in the United States. Results indicate that students find engineering to be broader than anticipated, which implicates how they imagine they might contribute to the field. Students perceive that perseverance, collaboration, and opportunities for authentic engagement with practice lead to academic success and better employment outcomes, and they recognise lifelong learning will help them continually adapt to the dynamic and complex nature of the engineering field.

ACS Style

Bryce E. Hughes; William J. Schell; Brett Tallman; Tessa Sybesma; Monika B. Kwapisz; Emma Annand; Shannon Ranch; Caroline Krejci; Christy Bozic; Daria Kotys-Schwartz. Entering the community of practice: changes in engineering students’ engineering identities and perceptions of the field. European Journal of Engineering Education 2021, 1 -19.

AMA Style

Bryce E. Hughes, William J. Schell, Brett Tallman, Tessa Sybesma, Monika B. Kwapisz, Emma Annand, Shannon Ranch, Caroline Krejci, Christy Bozic, Daria Kotys-Schwartz. Entering the community of practice: changes in engineering students’ engineering identities and perceptions of the field. European Journal of Engineering Education. 2021; ():1-19.

Chicago/Turabian Style

Bryce E. Hughes; William J. Schell; Brett Tallman; Tessa Sybesma; Monika B. Kwapisz; Emma Annand; Shannon Ranch; Caroline Krejci; Christy Bozic; Daria Kotys-Schwartz. 2021. "Entering the community of practice: changes in engineering students’ engineering identities and perceptions of the field." European Journal of Engineering Education , no. : 1-19.

Earlycite article
Published: 09 March 2021 in International Journal of Physical Distribution & Logistics Management
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Purpose The purpose of this research is to gain a better understanding of how a crowd-shipping platform can achieve a critical mass of senders and carrier crowd members to yield network effects that are necessary for the platform to grow and thrive. Specifically, this research studies the participation decisions of both senders and carriers over time and the impacts of the resulting feedback loop on platform growth and performance. Design/methodology/approach An agent-based model is developed and used to study dynamic behavior and network effects within a simulated crowd-shipping platform. The model allows both carriers and senders to be represented as autonomous, heterogeneous and adaptive agents, whose decisions to participate in the platform impact the participation of other agents over time. Survey data inform the logic governing agent decisions and behaviors. Findings The feedback loop created by individual sender and carrier agents' participation decisions generates complex and dynamic network effects that are observable at the platform level. Experimental results demonstrate the importance of having sufficient crowd carriers available when the platform is initially launched, as well as ensuring that sender and carrier participation remains balanced as the platform grows over time. Research limitations/implications The model successfully demonstrates the power of agent-based modeling (ABM) in analyzing network effects in crowd-shipping systems. However, the model has not yet been fully validated with data from a real-world crowd-shipping platform. Furthermore, the model's geographic scope is limited to a single census tract. Platform behavior will likely differ across geographic regions, with varying demographics and sender/carrier density. Practical implications The modeling approach can be used to provide the manager of a volunteer-based crowd-shipping program for food rescue with insights on how to achieve a critical mass of participants, with an appropriate balance between the number of restaurant food donation delivery requests and the number of crowd-shippers available and willing to make those deliveries. Social implications This research can help a crowd-shipping platform for urban food rescue to grow and become self-sustainable, thereby serving more food-insecure people. Originality/value The model represents both senders and the carrier crowd as autonomous, heterogeneous and adaptive agents, such that network effects resulting from their interactions can emerge and be observed over time. The model was designed to study a volunteer crowd-shipping platform for food rescue, with participant motivations driven by personal values and social factors, rather than monetary incentives.

ACS Style

Anuj Mittal; Nilufer Oran Gibson; Caroline C. Krejci; Amy Ann Marusak. Crowd-shipping for urban food rescue logistics. International Journal of Physical Distribution & Logistics Management 2021, ahead-of-p, 1 .

AMA Style

Anuj Mittal, Nilufer Oran Gibson, Caroline C. Krejci, Amy Ann Marusak. Crowd-shipping for urban food rescue logistics. International Journal of Physical Distribution & Logistics Management. 2021; ahead-of-p (ahead-of-p):1.

Chicago/Turabian Style

Anuj Mittal; Nilufer Oran Gibson; Caroline C. Krejci; Amy Ann Marusak. 2021. "Crowd-shipping for urban food rescue logistics." International Journal of Physical Distribution & Logistics Management ahead-of-p, no. ahead-of-p: 1.

Journal article
Published: 19 February 2021 in Agricultural Systems
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The U.S. food supply system relies heavily on vertically-integrated food supply chains (FSCs), which leverage large-scale production, streamlined operations, and centralized planning and control to provide consumers with a consistent supply of food. However, these FSCs were seriously disrupted upon the outbreak of the COVID-19 pandemic in spring 2020. During the height of the crisis, they were slow to respond to production system failures and sudden and widespread changes in consumer demand. By contrast, many regionalized food supply chains (RFSCs) proved to be adaptive and responsive to changes in demand and delivery requirements, quickly pivoting to distribute products directly to consumers safely. The objective of this research is to explore how RFSCs can improve the resilience of the U.S. food supply system in the face of large-scale disruptions like the COVID-19 crisis. In particular, this research seeks to gain a greater understanding of how RFSCs can leverage logistics best practices for efficient and reliable distribution to consumers in normal times and during disasters. This study presents seven case studies of RFSCs in Texas and Iowa that adopted logistics best practices to enable them to provide their customers with convenient and safe purchasing mechanisms during the COVID-19 emergency. A description of how the strategies adopted by each participant promote the achievement of the United Nations Sustainable Development goals is provided. The successes experienced by these farmers and distributors at the height of the COVID-19 pandemic were a consequence of their willingness to adopt new distribution and logistics strategies. Collaboration among RFSC actors was a particularly effective strategy, as well as the adoption of scale-appropriate information and communication technologies, which helped to facilitate collaboration. Further, these case studies demonstrate how improved logistics performance allowed RFSCs to contribute to the health and well-being of their communities in a time of need. These case studies demonstrate the potential of RFSCs to support a resilient and socially-sustainable food system that communities can rely on, even in the face of a major disruption like COVID-19. The adoption of logistics best practices helped these RFSCs to develop new organizational strengths that will likely support sustainable development in their communities after the crisis ends.

ACS Style

Amy Marusak; Narjes Sadeghiamirshahidi; Caroline C. Krejci; Anuj Mittal; Sue Beckwith; Jaime Cantu; Mike Morris; Jason Grimm. Resilient regional food supply chains and rethinking the way forward: Key takeaways from the COVID-19 pandemic. Agricultural Systems 2021, 190, 103101 .

AMA Style

Amy Marusak, Narjes Sadeghiamirshahidi, Caroline C. Krejci, Anuj Mittal, Sue Beckwith, Jaime Cantu, Mike Morris, Jason Grimm. Resilient regional food supply chains and rethinking the way forward: Key takeaways from the COVID-19 pandemic. Agricultural Systems. 2021; 190 ():103101.

Chicago/Turabian Style

Amy Marusak; Narjes Sadeghiamirshahidi; Caroline C. Krejci; Anuj Mittal; Sue Beckwith; Jaime Cantu; Mike Morris; Jason Grimm. 2021. "Resilient regional food supply chains and rethinking the way forward: Key takeaways from the COVID-19 pandemic." Agricultural Systems 190, no. : 103101.

Conference paper
Published: 10 September 2020 in 2018 ASEE Annual Conference & Exposition Proceedings
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Despite the ubiquity of industrial engineers in the workplace, the K-12 community is relatively unaware of this critical engineering discipline. As a result, few high school students pursue industrial engineering (IE) as a career option. In fact, engineering enrollment data at Iowa State University shows that very few (typically 4%) of the students who select a major upon entry into an engineering program select IE. On the other hand, students who enter as undeclared engineering majors are more likely (around 16%) to select IE after learning about the program. Past research has shown that K-12 student awareness of a STEM discipline impacts their eventual selection of that discipline as a career option. Therefore, for IE to live up to its potential as a discipline, a greater number of IE-oriented outreach activities are needed for K-12 students. In this work, we report on the development, deployment, and assessment of a suite of IE outreach activities at Iowa State University. These hands-on activities were focused on assembly line and supply chain management concepts. The activities were conducted with pre-service teachers enrolled in the School of Education at Iowa State University, and with middle and high school students. To the best of our knowledge, this is the first IE-focused outreach effort with pre-service teachers. While increasing the number of IE outreach activities is important, adopting the right structure for the activities is equally important. A risk in IE outreach activities is that they may lead to a trivial understanding of the subject. There is an understandable temptation to suggest that IE concepts are encountered regularly in day-to-day affairs, which can create misconceptions about the field. Other investigators have noted that the Engineering is Elementary (EiE) modules related to environmental engineering, agriculture engineering, and bioengineering are richer in science content than those based on civil engineering and industrial engineering. To address these concerns, we have explicitly attempted to design our IE outreach activities to include a stronger math/science link, along with traditional IE concepts, such as line balancing, eliminating bottlenecks, and demand forecasting. In this work, we provide details of the different activities that were developed and realistic estimates of the time required to develop and deploy them, as well as assessment results from the associated programs.

ACS Style

Anuj Mittal; Sriram Sundararajan; D. Raj Raman; Caroline C. Krejci. Industrial Engineering Outreach to K-12 Community. 2018 ASEE Annual Conference & Exposition Proceedings 2020, 1 .

AMA Style

Anuj Mittal, Sriram Sundararajan, D. Raj Raman, Caroline C. Krejci. Industrial Engineering Outreach to K-12 Community. 2018 ASEE Annual Conference & Exposition Proceedings. 2020; ():1.

Chicago/Turabian Style

Anuj Mittal; Sriram Sundararajan; D. Raj Raman; Caroline C. Krejci. 2020. "Industrial Engineering Outreach to K-12 Community." 2018 ASEE Annual Conference & Exposition Proceedings , no. : 1.

Journal article
Published: 18 August 2020 in Sustainability
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The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous amount of energy. To tackle the challenge of minimizing transportation costs and CO2 emissions while also maximizing product freshness, a novel multi-objective model is proposed. The model integrates a vehicle routing problem with temperature, shelf life, and energy consumption prediction models, thereby enhancing its accuracy. Non-dominated sorting genetic algorithm II is adapted to solve the proposed model for the set of Solomon test data. The conflicting nature of these objectives and the sensitivity of the model to shelf life and shipping container temperature settings are analyzed. The results show that optimizing freshness objective degrade the cost and the emission objectives, and the distribution of perishable foods are sensible to the shelf life of the perishable foods and temperature settings inside the container.

ACS Style

Amin Gharehyakheh; Caroline C. Krejci; Jaime Cantu; K. Jamie Rogers. A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life. Sustainability 2020, 12, 6668 .

AMA Style

Amin Gharehyakheh, Caroline C. Krejci, Jaime Cantu, K. Jamie Rogers. A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life. Sustainability. 2020; 12 (16):6668.

Chicago/Turabian Style

Amin Gharehyakheh; Caroline C. Krejci; Jaime Cantu; K. Jamie Rogers. 2020. "A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life." Sustainability 12, no. 16: 6668.

Preprint
Published: 05 August 2020
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The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous amount of energy. To tackle the challenge of minimizing transportation costs and CO2 emissions while also maximizing product freshness, a novel multi-objective model is proposed. The model integrates a vehicle routing problem with temperature, shelf life, and energy consumption prediction models, thereby enhancing its accuracy. Non-dominated sorting genetic algorithm II is adapted to solve the proposed model for the set of Solomon test data. The conflicting nature of these objectives and the sensitivity of the model to shelf life and shipping container temperature settings are analyzed. The results show that optimizing freshness objective degrade the cost and the emission objectives, and the distribution of perishable foods are sensible to the shelf life of the perishable foods and temperature settings inside the container.

ACS Style

Amin Gharehyakheh; Caroline C. Krejci; Jaime Cantu; K. Jamie Rogers. A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life. 2020, 1 .

AMA Style

Amin Gharehyakheh, Caroline C. Krejci, Jaime Cantu, K. Jamie Rogers. A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life. . 2020; ():1.

Chicago/Turabian Style

Amin Gharehyakheh; Caroline C. Krejci; Jaime Cantu; K. Jamie Rogers. 2020. "A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life." , no. : 1.

Journal article
Published: 30 July 2020 in Buildings and Cities
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ACS Style

Ulrike Passe; Michael Dorneich; Caroline Krejci; Diba Malekpour Koupaei; Breanna Marmur; Linda Shenk; Jacklin Stonewall; Janette Thompson; Yuyu Zhou. An urban modelling framework for climate resilience in low-resource neighbourhoods. Buildings and Cities 2020, 1, 453 -474.

AMA Style

Ulrike Passe, Michael Dorneich, Caroline Krejci, Diba Malekpour Koupaei, Breanna Marmur, Linda Shenk, Jacklin Stonewall, Janette Thompson, Yuyu Zhou. An urban modelling framework for climate resilience in low-resource neighbourhoods. Buildings and Cities. 2020; 1 (1):453-474.

Chicago/Turabian Style

Ulrike Passe; Michael Dorneich; Caroline Krejci; Diba Malekpour Koupaei; Breanna Marmur; Linda Shenk; Jacklin Stonewall; Janette Thompson; Yuyu Zhou. 2020. "An urban modelling framework for climate resilience in low-resource neighbourhoods." Buildings and Cities 1, no. 1: 453-474.

Conference paper
Published: 01 December 2019 in 2019 Winter Simulation Conference (WSC)
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A recent review paper of hybrid simulation modelling has identified that conceptual modelling is one of the least developed stages in the modelling lifecycle. Admittedly, it is generally accepted that the same applies to conceptual modelling for single-method simulation. However, in the case of building a hybrid simulation we risk creating even more complex models. Furthermore, it doesn’t help that that there are no standard modelling approaches shared by the different modelling methods (DES, SD, ABS) to enable a common hybrid conceptual model. This panel paper discusses the state of art of conceptual modelling for hybrid simulation and further developments needed to support the design of hybrid simulations. The purpose of this panel is to initiate a discussion about conceptual modelling in HS, with the view to identifying improvements and needs for further research in this area.

ACS Style

Antuela A. Tako; Tillal Eldabi; Paul Fishwick; Caroline Krejci; Martin Kunc. Panel - Towards Conceptual Modeling for Hybrid Simulation: Setting the Scene. 2019 Winter Simulation Conference (WSC) 2019, 1267 -1279.

AMA Style

Antuela A. Tako, Tillal Eldabi, Paul Fishwick, Caroline Krejci, Martin Kunc. Panel - Towards Conceptual Modeling for Hybrid Simulation: Setting the Scene. 2019 Winter Simulation Conference (WSC). 2019; ():1267-1279.

Chicago/Turabian Style

Antuela A. Tako; Tillal Eldabi; Paul Fishwick; Caroline Krejci; Martin Kunc. 2019. "Panel - Towards Conceptual Modeling for Hybrid Simulation: Setting the Scene." 2019 Winter Simulation Conference (WSC) , no. : 1267-1279.

Conference paper
Published: 01 December 2019 in 2019 Winter Simulation Conference (WSC)
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As climate change approaches a point of irreversibility, it is becoming increasingly important to find ways of preventing food waste from reaching landfills and emitting greenhouse gases. Food rescue programs offer a means of simultaneously diverting surplus food from landfills and addressing food insecurity. Recently, some food rescue organizations in the U.S. have begun leveraging crowd-shipping to more efficiently transport surplus food from donors to food-insecure recipients. However, the success of such initiatives relies on achieving a critical mass of donor and crowd-shipper participation. This paper describes a conceptual agent-based model that was developed to evaluate the design parameters of a volunteer-based crowd-shipping system for food rescue. Preliminary experimental results demonstrate the importance of generating sufficient awareness and commitment among potential volunteers in the early stages of the program’s development to ensure consistent participation and service.

ACS Style

Anuj Mittal; Nilufer Oran Gibson; Caroline Krejci. An Agent-based Model of Surplus Food Rescue Using Crowd-shipping. 2019 Winter Simulation Conference (WSC) 2019, 854 -865.

AMA Style

Anuj Mittal, Nilufer Oran Gibson, Caroline Krejci. An Agent-based Model of Surplus Food Rescue Using Crowd-shipping. 2019 Winter Simulation Conference (WSC). 2019; ():854-865.

Chicago/Turabian Style

Anuj Mittal; Nilufer Oran Gibson; Caroline Krejci. 2019. "An Agent-based Model of Surplus Food Rescue Using Crowd-shipping." 2019 Winter Simulation Conference (WSC) , no. : 854-865.

Research article
Published: 29 November 2019 in Journal of Multi-Criteria Decision Analysis
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In 2014, the government of the state of Indian Punjab amended its existing system of public distribution of food grains by launching the “new atta‐daal (wheat‐pulses) scheme”. Instead of distributing subsidized food grains monthly to its underprivileged citizens, the state started distributing grains on a biannual basis (i.e., every 6 months). The state claims that the new system yields logistical and monetary benefits that favour the state treasury; however, beneficiaries have voiced concerns regarding grain handling and one‐time payments. To achieve a beneficial outcome for multiple stakeholders with conflicting objectives, a formal analysis of different policy alternatives is necessary. This research paper applies multi‐criteria decision analysis to evaluate alternative public grain distribution schemes for the district of Ludhiana in Indian Punjab. First, an objectives hierarchy and measures for the decision problem were developed using emergent codes from qualitative data collected via semi‐structured interviews, focus group discussions, and guided conversations with 40 participants representing eight different stakeholders. Using the rank‐order method, weights were then assessed to identify the relative importance of these measures. Five feasible grain distribution policy alternatives were generated, and data describing the performance of these alternatives with respect to each measure were collected via Likert scale surveys of over 300 beneficiary households across 14 different villages (rural) and localities (urban) of Ludhiana district in Punjab. Value functions were assigned to each measure to identify the best performing alternative, and sensitivity analysis was performed to establish the robustness of the final solution. Overall, beneficiaries preferred a 6‐monthly distribution system with improvements, such as better communication and disciplined distribution.

ACS Style

Abhay K. Grover; Shweta Chopra; Caroline C. Krejci. A multi‐criteria decision analysis for the public distribution system of food grains in Indian Punjab: Towards decentralized food policies in developing countries. Journal of Multi-Criteria Decision Analysis 2019, 27, 236 -251.

AMA Style

Abhay K. Grover, Shweta Chopra, Caroline C. Krejci. A multi‐criteria decision analysis for the public distribution system of food grains in Indian Punjab: Towards decentralized food policies in developing countries. Journal of Multi-Criteria Decision Analysis. 2019; 27 (3-4):236-251.

Chicago/Turabian Style

Abhay K. Grover; Shweta Chopra; Caroline C. Krejci. 2019. "A multi‐criteria decision analysis for the public distribution system of food grains in Indian Punjab: Towards decentralized food policies in developing countries." Journal of Multi-Criteria Decision Analysis 27, no. 3-4: 236-251.

Journal article
Published: 05 September 2019 in Solar Energy
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As zero energy buildings take on an increasingly prominent role in overall efforts to reduce energy consumption, it is necessary to identify effective policies for their design and implementation. However, current zero energy building (ZEB) policies focus mainly on new buildings, primarily through on-site renewable energy generation, such as rooftop photovoltaic (PV) systems. Having a few high performing buildings will have limited impact if the community as a whole is not net zero. A more practical approach to achieve zero energy goals is to extend the zero energy boundaries beyond an individual building and have a group of buildings evaluated together as a community, such that the community in itself becomes a zero-energy community (ZEC). Successful ZEC implementation requires that community members actively participate in renewable energy and energy efficiency programs and collectively support the goal of zero energy. Hence, a consumer-oriented analysis is needed to support effective ZEC design decisions and promotion efforts. This paper describes a conceptual agent-based model for an urban neighborhood in Des Moines, Iowa, to predict household level renewable energy adoption behaviors in presence of multiple options. Specifically, the level of consumer participation before and after introducing a community solar option for the neighborhood is evaluated via experimentation with the model. Simulation results demonstrate that introducing a community solar program increases household level adoption as well as the proportion of community level electricity consumption met through renewable sources. The amount of increase in adoption, however, depends on the choice of design parameters, such as premium that households must pay to participate. The results also show that timeliness of achieving ZEC goals depends upon the frequency of social interactions in the neighborhood, indicating the importance of community events in the successful creation of a ZEC.

ACS Style

Anuj Mittal; Caroline C. Krejci; Michael C. Dorneich; David Fickes. An agent-based approach to modeling zero energy communities. Solar Energy 2019, 191, 193 -204.

AMA Style

Anuj Mittal, Caroline C. Krejci, Michael C. Dorneich, David Fickes. An agent-based approach to modeling zero energy communities. Solar Energy. 2019; 191 ():193-204.

Chicago/Turabian Style

Anuj Mittal; Caroline C. Krejci; Michael C. Dorneich; David Fickes. 2019. "An agent-based approach to modeling zero energy communities." Solar Energy 191, no. : 193-204.

Journal article
Published: 28 June 2019 in Renewable and Sustainable Energy Reviews
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Residential consumers in the U.S. have demonstrated a growing interest in rooftop photovoltaic (PV) systems, resulting in increased adoption over the last decade. However, this has diminished utility revenues, and policymakers have expressed concerns about inequitable consumer access to publicly-funded rooftop PV adoption incentives. In response to these concerns, policymakers and utility companies are changing their policies to discourage rooftop PV adoption. Alternative renewable energy models, such as utility-provided community solar programs, offer a potential solution. However, when designing such programs, it is important to consider the potential impacts on different system stakeholders, including utilities, policymakers, and solar installers. This paper describes an agent-based model that predicts the performance of different residential distributed solar models with respect to these stakeholders' objectives. In this model, consumer agents residing in an urban utility territory decide in each time-step whether they will adopt a particular renewable energy model, and the impacts of their adoption decisions on stakeholder performance metrics are captured over time. Simulation results suggest that if community solar program premium prices are set appropriately, all stakeholders can benefit: the utility can recover part of its revenue losses even as rooftop PV adoption increases, solar installers’ businesses can thrive, and increased renewable energy adoption can be achieved equitably. The proposed modeling methodology can help to inform design decisions of distributed solar energy models that avoid benefiting some stakeholders at the unnecessary expense of others.

ACS Style

Anuj Mittal; Caroline C. Krejci; Michael C. Dorneich. An agent-based approach to designing residential renewable energy systems. Renewable and Sustainable Energy Reviews 2019, 112, 1008 -1020.

AMA Style

Anuj Mittal, Caroline C. Krejci, Michael C. Dorneich. An agent-based approach to designing residential renewable energy systems. Renewable and Sustainable Energy Reviews. 2019; 112 ():1008-1020.

Chicago/Turabian Style

Anuj Mittal; Caroline C. Krejci; Michael C. Dorneich. 2019. "An agent-based approach to designing residential renewable energy systems." Renewable and Sustainable Energy Reviews 112, no. : 1008-1020.

Research article
Published: 27 March 2019 in Building Simulation
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Weatherizing residential buildings to make them more energy efficient offers great potential for reducing greenhouse gas emissions, conserving resources, and improving occupant comfort and well-being in the face of climate change. However, weatherization adoption rates remain low. Previous research suggests that social norms and energy-related interactions within a community have greater influence on households’ weatherization adoption decisions than financial incentives. Therefore, an increased understanding of how social factors can be leveraged to encourage more households to weatherize is needed. This paper describes a hybrid simulation model on households’ weatherization adoption decisions in an urban community. The simulation model integrates a building energy simulation model with an agent-based model that is embedded in a social network to represent the interactions, adaptations, and decision making of individual households over time. The model is demonstrated for several experimental scenarios for a residential block in the City of Des Moines, Iowa. Results indicate that social connectedness, community leaders, and delivery mechanisms for weatherization assistance all have a significant impact on household weatherization adoption. These results provide insight into the potential of policy interventions to increase weatherization adoption.

ACS Style

Wanyu Huang; Caroline C. Krejci; Michael C. Dorneich; Ulrike Passe; Linda Shenk; Jacklin Stonewall. Analyzing residential weatherization decisions using hybrid simulation modeling. Building Simulation 2019, 12, 517 -534.

AMA Style

Wanyu Huang, Caroline C. Krejci, Michael C. Dorneich, Ulrike Passe, Linda Shenk, Jacklin Stonewall. Analyzing residential weatherization decisions using hybrid simulation modeling. Building Simulation. 2019; 12 (3):517-534.

Chicago/Turabian Style

Wanyu Huang; Caroline C. Krejci; Michael C. Dorneich; Ulrike Passe; Linda Shenk; Jacklin Stonewall. 2019. "Analyzing residential weatherization decisions using hybrid simulation modeling." Building Simulation 12, no. 3: 517-534.

Journal article
Published: 22 October 2018 in Community Development
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ACS Style

Linda Shenk; Caroline Krejci; Ulrike Passe. Agents of change—together: Using agent-based models to inspire social capital building for resilient communities. Community Development 2018, 50, 256 -272.

AMA Style

Linda Shenk, Caroline Krejci, Ulrike Passe. Agents of change—together: Using agent-based models to inspire social capital building for resilient communities. Community Development. 2018; 50 (2):256-272.

Chicago/Turabian Style

Linda Shenk; Caroline Krejci; Ulrike Passe. 2018. "Agents of change—together: Using agent-based models to inspire social capital building for resilient communities." Community Development 50, no. 2: 256-272.

Research article
Published: 27 September 2018 in Proceedings of the Human Factors and Ergonomics Society Annual Meeting
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This work surveyed residents of an economically disadvantaged community on their attitudes toward weatherization and their energy use behaviors. To support urban leaders making decisions to mitigate the effects of large-scale climate change, data-driven simulation models are being developed. To ensure that these models are equitable, the needs of all citizens must be included, especially those most vulnerable to the impacts of climate change. The results of this survey indicate that residents are taking steps to weatherize and conserve energy, but they are hindered by a lack of resources and knowledge of available assistance programs. These results are being applied to agent-based models (ABM) to model emergent community behavior. These models will be used to design decision support systems for city stakeholders.

ACS Style

Jacklin Stonewall; Wanyu Huang; Michael Dorneich; Caroline Krejci; Linda Shenk; Ulrike Passe. Energy Use and Weatherization Practices: Applications for Agent-Based Modeling to Support Vulnerable Populations. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2018, 62, 676 -680.

AMA Style

Jacklin Stonewall, Wanyu Huang, Michael Dorneich, Caroline Krejci, Linda Shenk, Ulrike Passe. Energy Use and Weatherization Practices: Applications for Agent-Based Modeling to Support Vulnerable Populations. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2018; 62 (1):676-680.

Chicago/Turabian Style

Jacklin Stonewall; Wanyu Huang; Michael Dorneich; Caroline Krejci; Linda Shenk; Ulrike Passe. 2018. "Energy Use and Weatherization Practices: Applications for Agent-Based Modeling to Support Vulnerable Populations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1: 676-680.

Research article
Published: 27 September 2018 in Proceedings of the Human Factors and Ergonomics Society Annual Meeting
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Food hubs have seen substantial growth in the past few decades but the overall operational efficiency and effectiveness is a concern for the managers of these facilities. The experiment designed consisted of 60 participants divided into four treatment groups that simulated tasks completed at food hubs. The experiment designed was a 2x2 factorial design and each treatment group had five teams with three members. The treatment groups had all combinations of the two independent variables ‘training’ and ‘process improvement’ and the impact these factors made on time to pack (TP), time to stack (TS), number of errors while stacking (ES), and number of errors while packing (EP) were investigated. The results show that for TS, TP, and ES, both training and process improvement significantly increased the food hub’s efficiency. For EP, process improvement significantly reduced errors while training had less impact.

ACS Style

Richard T. Stone; Colten Fales; Dean Jose; Thomas Schweiger; Caroline Krejci; Zhonglun Wang; Drew Schweiger; Christopher Hernandez. The Impact of Scientific Management Principles on Food Hub. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2018, 62, 1454 -1458.

AMA Style

Richard T. Stone, Colten Fales, Dean Jose, Thomas Schweiger, Caroline Krejci, Zhonglun Wang, Drew Schweiger, Christopher Hernandez. The Impact of Scientific Management Principles on Food Hub. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2018; 62 (1):1454-1458.

Chicago/Turabian Style

Richard T. Stone; Colten Fales; Dean Jose; Thomas Schweiger; Caroline Krejci; Zhonglun Wang; Drew Schweiger; Christopher Hernandez. 2018. "The Impact of Scientific Management Principles on Food Hub." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1: 1454-1458.

Review
Published: 11 January 2018 in Sustainability
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The modern industrial food supply system faces many major environmental and social sustainability challenges. Regional food systems, in which consumers prefer geographically proximate food producers, offer a response to these challenges. However, the costs associated with distributing food from many small-scale producers to consumers have been a major barrier to long-term regional food system success. Logistics best practices from conventional supply chains have the potential to improve the efficiency and effectiveness of regional food supply chains (RFSCs). This paper provides a structured and in-depth review of the existing literature on RFSC logistics, including recommended and implemented best practices. The purpose of the review is to provide RFSC researchers and practitioners with convenient access to valuable information and knowledge derived from years of experimentation and research. This information will help to inform practitioners’ implementation decisions and to increase researchers’ awareness of the existing work on RFSC logistics, the unmet needs of practitioners, and topics that have not been fully explored, yielding insights into potential future directions for RFSC research. The overarching aim of the paper is to facilitate improvements in RFSC logistics, thereby improving regional food system viability.

ACS Style

Anuj Mittal; Caroline C. Krejci; Teri J. Craven. Logistics Best Practices for Regional Food Systems: A Review. Sustainability 2018, 10, 168 .

AMA Style

Anuj Mittal, Caroline C. Krejci, Teri J. Craven. Logistics Best Practices for Regional Food Systems: A Review. Sustainability. 2018; 10 (2):168.

Chicago/Turabian Style

Anuj Mittal; Caroline C. Krejci; Teri J. Craven. 2018. "Logistics Best Practices for Regional Food Systems: A Review." Sustainability 10, no. 2: 168.

Journal article
Published: 18 December 2017 in Journal of Simulation
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As demand for regionally produced food has increased, regional food hubs have helped to facilitate connections between consumers and small-scale food producers. However, food hubs often struggle to achieve the logistical and operational efficiencies that characterize conventional large-scale food distribution. In many cases, implementation of innovations adopted by conventional food distributors has proved to be challenging and even counterproductive for food hubs, due to their distinct business structure and mission. To address this problem, an empirical agent-based and discrete-event hybrid simulation model was developed to determine the effects of incorporating various efficiency-enhancing practices into food hub warehousing operations. The model was validated using data from a food hub in central Iowa. Experimental results demonstrate the potential usefulness of this model in supporting food hub managers’ operational planning decisions, as well as the effectiveness of incorporating agent-based and discrete-event simulation modeling paradigms to study warehousing operations.

ACS Style

Anuj Mittal; Caroline C. Krejci. A hybrid simulation modeling framework for regional food hubs. Journal of Simulation 2017, 13, 28 -43.

AMA Style

Anuj Mittal, Caroline C. Krejci. A hybrid simulation modeling framework for regional food hubs. Journal of Simulation. 2017; 13 (1):28-43.

Chicago/Turabian Style

Anuj Mittal; Caroline C. Krejci. 2017. "A hybrid simulation modeling framework for regional food hubs." Journal of Simulation 13, no. 1: 28-43.

Conference paper
Published: 01 December 2017 in 2017 Winter Simulation Conference (WSC)
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Companies in a variety of industries rely on their employees to work together effectively in teams to achieve their objectives. However, finding ways to encourage collaborative behavior to optimize a team's performance is often challenging. In particular, managers would like to be able to increase the likelihood that team members decide to help each other, in the event of workload imbalances. In this paper, a hybrid simulation (ABM-DES) model has been developed to investigate how workers' predisposition to altruistic tendencies, an important personality factor, influences their willingness to help their co-workers on a production task. Model inputs were derived from experimental data, including participants' personalities, perceptions, and decisions regarding whether or not to help team members complete a task. Simulation results suggest that highly altruistic individuals are more likely to help their co-workers.

ACS Style

Josiah J. Green; Caroline Krejci; David E. Cantor. A hybrid simulation model of helping behavior. 2017 Winter Simulation Conference (WSC) 2017, 1619 -1630.

AMA Style

Josiah J. Green, Caroline Krejci, David E. Cantor. A hybrid simulation model of helping behavior. 2017 Winter Simulation Conference (WSC). 2017; ():1619-1630.

Chicago/Turabian Style

Josiah J. Green; Caroline Krejci; David E. Cantor. 2017. "A hybrid simulation model of helping behavior." 2017 Winter Simulation Conference (WSC) , no. : 1619-1630.

Conference paper
Published: 01 December 2017 in 2017 Winter Simulation Conference (WSC)
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As share of renewable sources in the energy sector is increasing, the energy production and distribution network's centralized structure is changing to numerous small-scale distributed networks. Energy consumers in the residential sector are increasingly becoming energy producers by adopting rooftop photo voltaic (PV) systems. However, increasing rooftop PV adoption has contributed to diminishing revenues for utility companies. This paper describes an agent-based model that has been developed to help utility companies better understand the impacts of consumers' preferences and behaviors on adding renewable sources to their energy mix. Experimental results demonstrate that including both consumers and utility companies as stakeholders can help the utilities alleviate revenue losses due to increasing rooftop PV adoption while meeting their renewable energy expansion targets.

ACS Style

Anuj Mittal; Caroline C. Krejci. Integrating consumer preferences in renewable energy expansion planning using agent-based modeling. 2017 Winter Simulation Conference (WSC) 2017, 2696 -2707.

AMA Style

Anuj Mittal, Caroline C. Krejci. Integrating consumer preferences in renewable energy expansion planning using agent-based modeling. 2017 Winter Simulation Conference (WSC). 2017; ():2696-2707.

Chicago/Turabian Style

Anuj Mittal; Caroline C. Krejci. 2017. "Integrating consumer preferences in renewable energy expansion planning using agent-based modeling." 2017 Winter Simulation Conference (WSC) , no. : 2696-2707.