Fleet sizing in chemical supply chains using agent-based simulation

Meng, Sha

doi:10.1016/j.compchemeng.2015.08.015

Cited by 26 publications

(11 citation statements)

References 19 publications

(29 reference statements)

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“…Reference [34], added that the simulation models are often used when certain characteristics of the supply chain cannot easily be modelled with analytical models or when stochastic variables are to be incorporated. And in addition to considering the various sources of variability and uncertainty that affect the supply chain performance, the simulation modelling also take into account individual behaviours and heterogeneities as well as interactions between the entities [35]. And as long as simulation is suited for studies where time-dependent relations are analysed, [36] specified that the main reasons to use discrete event simulation for system analysis in supply chain management are the possibility to include dynamics and the simplicity of modelling.…”

Section: Modelling and Simulation Techniques In Supply Chainmentioning

confidence: 99%

Performance analysis model for service supply chains : case of the retirement supply chain

Mezouar

Afia

2018

IJET

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A service supply chain (SSC) is a supply network that transfers resources into services with or without physical products, to satisfy cus-tomer needs. So it’s evident that without offering the right service at the right time to the right person, the service is incomplete, inconsistent and ineffective. In the same context, the retirement field faces the challenge of offering the correct pension to the right pensioner the first month of his retirement. This paper approaches this challenge from a SSC perspective as a case study for dealing with continuity in service supply chain. It uses a methodology that combine Analysis-Specification-Design-Implementation (ASDI), Office Support Systems Analy-sis and Design (OSSAD), Business Process Management (BPM), and Supply Chain Operations Reference (SCOR). It analyzes and mod-els the Moroccan retirement SSC, simulates the behavior of "the management of civil pension rights" process, and proposes a set of Key Performance Indicators (KPI) to evaluate the continuity in the service supply chain. Hence, this work provides guidance on the performance analysis of a SSC.

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Section: Modelling and Simulation Techniques In Supply Chainmentioning

confidence: 99%

Performance analysis model for service supply chains : case of the retirement supply chain

Mezouar

Afia

2018

IJET

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“…The specific operation of a warehouse system was modeled by Ito and Abadi . Models of refinery supply chains have also been used to determine optimal business processes and configurations in one specific plant. , Sha and Srinivasan developed an agent-based model to determine optimal tank car fleets in chemical supply chains …”

Section: Agent-based Modeling and Simulationmentioning

confidence: 99%

“…17,18 Sha and Srinivasan developed an agent-based model to determine optimal tank car fleets in chemical supply chains. 19 The United States Department of Homeland Security National Infrastructure Simulation and Analysis Center (NISAC) developed the NISAC Agent-Based Laboratory for Economics (N-ABLE) to conduct economic analysis of "homeland security-related disruptive events." 20 Ehlen et al used the N-ABLE framework with a chemical data model to simulate thousands of chemical plants and related firms in the United States.…”

Section: Agent-based Modeling and Simulationmentioning

confidence: 99%

Opportunities for Chemical Manufacturing Using Natural Gas Feedstocks in the San Juan Basin

DeRosa

Downes

Lentz

et al. 2016

Ind. Eng. Chem. Res.

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The San Juan Basin, located in northwestern New Mexico and southwestern Colorado, produces natural gas from oil, gas, and coalseam wells. Because of abundant natural gas supply and price discounts relative to other natural gas trading hubs, the San Juan Basin is an attractive location to establish greenfield manufacturing of value-added chemicals from locally produced natural gas. To assess the viability of manufacturing different types of chemicals, agent-based models of three chemical markets were created to simulate historical market operation in the United States. Using the agent-based models, potential market share of a greenfield plant in the San Juan Basin is estimated. The historical market models show that world-scale production of urea or polypropylene could be achieved by a manufacturing plant in the San Juan Basin. Production of propylene in the region likely could not sustain world-scale production, even with improvements in local transportation infrastructure connections.

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“…Godwin et al (2008) developed a Petri Net based simulation model for determining locomotive fleet size and its deadheading policy in a rail network. Tank car fleet sizing in the context of chemical supply chain was studied by Sha and Srinivasan (2016) where an agent-based simulation model is used for evaluating various fleet sizes and routing policies. Container fleet sizing and their repositioning in shipping systems was studied by Dong and Song (2009) where a simulation based optimization that uses Genetic Algorithm and Evolution Strategy is developed for determining container fleet size and its repositioning in a multivessel, multi-port and multi-voyage shipping systems.…”

Section: Introductionmentioning

confidence: 99%

Intra-City Call-Taxi Fleet Sizing using Petri Net Embedded Simulation Optimization

Godwin¹

2022

European Transport/Trasporti Europei

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Call-taxi has seen tremendous growth during the past two decades and the smartphone app based call-taxi hiring for intra-city commuting has not only provided greater visibility to customers but also increased their expectations. Fleet sizing is an important decision to a call-taxi aggregator that strikes a balance between customer service in terms of call-taxi availability and the utilization of the fleet for a day’s forecasted demand. An optimization via simulation approach is developed for optimizing call-taxi fleet size. The simulation model embeds a Petri Net model of a call-taxi system where the customer requests and travel times are stochastic. Three optimization models are used to determine the fleet sizes, which are compared and inferences drawn. The developed approach can serve as a template for decision support tool for call-taxi service providers.

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Fleet sizing in chemical supply chains using agent-based simulation

Cited by 26 publications

References 19 publications

Performance analysis model for service supply chains : case of the retirement supply chain

Performance analysis model for service supply chains : case of the retirement supply chain

Opportunities for Chemical Manufacturing Using Natural Gas Feedstocks in the San Juan Basin

Intra-City Call-Taxi Fleet Sizing using Petri Net Embedded Simulation Optimization

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