Hybrid simulation modeling for regional food systems

Mittal, Anuj

doi:10.31274/etd-180810-4696

Cited by 5 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, researchers are increasingly combining these techniques to develop hybrid simulations, which leverage each individual methodology's strengths and enable the analysis of systems that could not be realistically modeled using a single approach (Powell and Mustafee 2014). Hybrid simulation integrates the benefits and capabilities of both modeling methodologies, allowing the modeler to capture the fundamental elements and behavior of the system (Mittal and Krejci 2015;Mittal 2016). For example, Pawlewski and Kluska (2016) developed a hybrid simulation model for assembly line balancing in which DES was used to capture the flow of materials in a bus production plan, and ABM was used represent the assembly operations of the individual workers.…”

Section: Simulation Methodologymentioning

confidence: 99%

A hybrid simulation model of helping behavior

Green¹,

Krejci²,

Cantor³

2017

2017 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

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.

show abstract

Section: Simulation Methodologymentioning

confidence: 99%

A hybrid simulation model of helping behavior

Green¹,

Krejci²,

Cantor³

2017

2017 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

show abstract

“…For example, peer interactions are important to consider in modeling rooftop PV adoption (Bollinger, and Gillingham 2012). Agent-based modeling (ABM) is a powerful tool to study the outcomes of policies resulting from complex human behaviors and their social interactions (Mittal, andKrejci 2015, Mittal 2016). ABM has previously been used to capture the complexities of electricity markets by modeling heterogeneous actors (e.g., consumers, utility companies, ISOs, and RTOs) and serving as a tool to support utility companies' expansion planning decisions (Botterud et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Integrating consumer preferences in renewable energy expansion planning using agent-based modeling

Mittal

Krejci

2017

2017 Winter Simulation Conference (WSC)

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…Such decision support tools can help producers decide which costs (i.e., transportation, warehousing, processing) to absorb and which to pass on to their customers [47]. For example, a computer simulation model was developed to enable food hub managers to understand the effects of various scheduling policies on the efficiency of their warehouse operations [241][242][243].…”

Section: Summary Of Findingsmentioning

confidence: 99%

Logistics Best Practices for Regional Food Systems: A Review

2018

Self Cite

View full text Add to dashboard Cite

Abstract: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.

show abstract

Hybrid simulation modeling for regional food systems

Cited by 5 publications

References 36 publications

A hybrid simulation model of helping behavior

A hybrid simulation model of helping behavior

Integrating consumer preferences in renewable energy expansion planning using agent-based modeling

Logistics Best Practices for Regional Food Systems: A Review

Contact Info

Product

Resources

About