Liquefied natural gas inventory routing problem under uncertain weather conditions

Cho, Jae-Young; Lim, Gino J.; Kim, Seon Jin; Biobaku, Taofeek

doi:10.1016/j.ijpe.2018.07.014

Cited by 42 publications

(15 citation statements)

References 24 publications

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“…This mostly involves determining the production rate (lot-sizing) that must be ready for delivery beforehand. In the deterministic version of the problem, the interested readers can refer to Bertazzi et al (2019), Darvish et al (2019); Aksen et al (2014), Cho et al (2018); Bard and Nananukul (2009); Cóccola et al (2020); Archetti et al (2013), Qiu et al (2019); Bard and Nananukul (2010), Hoseini Shekarabi et al (2019); Gharaei et al (2019a); Gharaei et al (2019d); Gharaei et al (2019c); and Gharaei et al (2019b). Agra et al (2018) studied a stochastic single-product production-IRP with a single producer and multiple clients with uncertain demands and implementing a recourse model as the solution approach.…”

Section: Literature Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

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Stochastic inventory-routing problem with lateral transshipment for perishable product

Tanhatalab

2021

JM2

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Purpose This study aims to design a supply chain network in an uncertain environment while exists two options for distribution of the perishable product and production lot-sizing is concerned. Design/methodology/approach Owing to the complexity of the mathematical model, a solution approach based on a Lagrangian relaxation (LR) heuristic is developed which provides good-quality upper and lower bounds. Findings The model output is discussed through various examples. The introduction of some enhancements and using some heuristics results in better outputs in the solution procedure. Practical implications This paper covers the modeling of some real-world problems in which demand is uncertain and managers face making some concurrent decisions related to supply chain management, transportation and logistics and inventory control issues. Furthermore, considering the perishability of product in modeling makes the problem more practically significant as these days there are many supply chains handling dairy and other fresh products. Originality/value Considering uncertainty, production, transshipment and perishable product in the inventory-routing problem makes a new variant that has not yet been studied. The proposed novel solution is based on the LR approach that is enhanced by some heuristics and some valid inequalities that make it different from the current version of the LR used by other studies.

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Section: Literature Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

Stochastic inventory-routing problem with lateral transshipment for perishable product

Tanhatalab

2021

JM2

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“…Single node Deliberate attack Insider threat [111] Cyberattack [112] Terrorist attack [113] Logistics delay Inclement weather [114] Transportation accident [115] Port congestion [116] Multi-nodal Natural disaster Hurricane [117] Earthquake [118] Wildfire [119] Material shortage Trade tariffs [120] Shipping route blockage [121] Civil unrest [122] Financial crisis Market volatility [123] Economic recession [124] Global pandemic [125] As such, there has been significant literature regarding the ripple effect and its consequences across various domains [109]. Gholami-Zanjani et al [126] assessed its effect on the food industry as a basis for location-allocation and inventory-replenishment decisions.…”

Section: Initial Impact Disruption Risk Examplementioning

confidence: 99%

Energy Resilience Impact of Supply Chain Network Disruption to Military Microgrids

2021

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The ability to provide uninterrupted power to military installations is paramount in executing a country’s national defense strategy. Microgrid architectures increase installation energy resilience through redundant local generation sources and the capability for grid independence. However, deliberate attacks from near-peer competitors can disrupt the associated supply chain network, thereby affecting mission critical loads. Utilizing an integrated discrete-time Markov chain and dynamic Bayesian network approach, we investigate disruption propagation throughout a supply chain network and quantify its mission impact on an islanded microgrid. We propose a novel methodology and an associated metric we term “energy resilience impact” to identify and address supply chain disruption risks to energy security. The proposed methodology addresses a gap in the literature and practice where it is assumed supply chains will not be disrupted during incidents involving microgrids. A case study of a fictional military installation is presented to demonstrate how installation energy managers can adopt this methodology for the design and improvement of military microgrids. The fictional case study shows how supply chain disruptions can impact the ability of a microgrid to successfully supply electricity to critical loads throughout an islanding event.

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“…Customized planning, scheduling, and route maps of LNG deliveries are some of the innovations with the potential of reducing the carbon footprint, mainly by lowering the traveling distance or the delay time [32]. Furthermore, long-term contracts for LNG supply and deliveries are among the most viable ways to significantly impact the reduction of relative carbon emissions [33]. The other notable move to consider is a transition to low-sulfur marine, which aims to achieve the objective of the Paris Agreement about minimizing average warming to levels below 2 • C. By applying significantly innovative solutions, stakeholders can meet the global target to make shipping the minimum contributor to environmental pollution.…”

Section: Literature Reviewmentioning

confidence: 99%

Life Cycle Air Emissions and Social Human Health Impact Assessment of Liquified Natural Gas Maritime Transport

et al. 2021

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Air pollution, which causes over seven million deaths per year, is the most significant and specifically related to health impacts. Nearly 90% of the urban population worldwide is exposed to pollution not meeting the World Health Organization guidelines for air quality. Many atmospheric carbon oxides, nitrogen oxides, and particulate matter emitting sources, such as inefficient energy and polluting transportation, directly impact health. Natural gas maritime transport from various parts of the world (carbon supplied to consuming areas) has become more critical. Natural gas liquefaction offers a cleaner and more efficient transportation option and also increases its storage capacity. It is expected that natural gas will reduce the human health impact compared with other traditional fuels consumed. This research establishes a life cycle assessment model of air emission and social human health impact related to LNG maritime transport to investigate the impact of each type of fuel used for the numerous maritime carriers. In order to build a model for air emissions and social human health impact assessments based on hypotheses on various unknown criteria, a calculation model is used. The results revealed Conventional-2 fuel type has the lowest human health impact for annual mode calculations, followed by Conventional-1, Q-Max, and finally Q-Flex. The analysis method for the per year demonstrated discrepancies in the relative human health impact due to the variation of the annual LNG demand by each destination and not only per the trip needs. The results show the importance of using a relatively cleaner fuel type such as Conventional-2 in reducing the health impact of LNG maritime transportation. Moreover, it shows differences in the air emissions as well as the human health impact based on the destination’s location and annual LNG demand.

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Liquefied natural gas inventory routing problem under uncertain weather conditions

Cited by 42 publications

References 24 publications

Stochastic inventory-routing problem with lateral transshipment for perishable product

Stochastic inventory-routing problem with lateral transshipment for perishable product

Energy Resilience Impact of Supply Chain Network Disruption to Military Microgrids

Life Cycle Air Emissions and Social Human Health Impact Assessment of Liquified Natural Gas Maritime Transport

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