Resource Optimization and Inventory Routing of the Packaged Liquefied Gas Supply Chain

Kapadi, Mangesh; Gudi, Ravindra D.; Saxena, Divya

doi:10.1021/acs.iecr.8b05604

Cited by 11 publications

(12 citation statements)

References 17 publications

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“…When studies are examined in terms of modes, the studies [1,2,5,[7][8][9][10][11][12][13][14][15][16]21] include only one mode. Studies [3,4,6,[17][18][19][20] include two modes of the transportation types. The studies examined were also evaluated in terms of storage areas.…”

Section: Discussionmentioning

confidence: 99%

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A mathematical model on liquefied natural gas supply chain with uncertain demand

Utku

SOYÖZ

2020

SN Appl. Sci.

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This study focuses on the optimization of transportation and the storage of a Liquefied Natural Gas (LNG) supply chain. Liquefaction of the natural gas enables the suppliers to carry the gas by different modes of transportation to the customers by changing its state from gaseous state to liquid while decreasing its volume by 600 times. We consider the liquefaction, transportation, and re-gasification costs for the LNG supply chain and, propose a new model for the LNG supply chain, which minimizes the costs that may incur in the LNG supply chain. In the proposed model, sea, road, and pipeline transportation modes are taken into consideration. Unlike other models, in addition to the on-shore/stationary storage facilities at the storage sites, off-shore/ rented vessels (or floating holding tanks), are used to mitigate the demand uncertainty regarding the unexpected increase and decrease in customer demand. The LNG Supply Chain Model is first tested by 57 alternative test problems with randomly generated hypothetic data for each case and solved. Then the developed model is extended with normally distributed demand data which is generated through a Cycle Service Level (CSL) of 0.90 and solved by using GAMS CPLEX 24.1.3.

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Section: Discussionmentioning

confidence: 99%

“…Misra et al [17] took into consideration a supply chain optimization problem for packaged liquefied gaseous products, which considered a warehouse stock management. Raharjo and Sudibandriyo [18] proposed a model to minimize the total cost of the LNG supply chain, which took into consideration plant capacity with a case study.…”

Section: Introductionmentioning

confidence: 99%

A mathematical model on liquefied natural gas supply chain with uncertain demand

Utku

SOYÖZ

2020

SN Appl. Sci.

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“…55,56 Baker (1977) 57 has proved that a rigorous model implemented through a rolling horizon strategy effectively obtains a solution for a long operational horizon within 1% of optimality. Implementation of such rolling horizon strategies is described in detail in the studies by Misra et al (2019) 58 and Misra et al (2020) 59 and is not included in the paper to maintain brevity.…”

Section: ∑ ∑mentioning

confidence: 99%

“…To alleviate the terminal effects associated with such a finite horizon model with definitive ending period, the proposed decision-making tool should be implemented in a rolling horizon manner. , Baker (1977) has proved that a rigorous model implemented through a rolling horizon strategy effectively obtains a solution for a long operational horizon within 1% of optimality. Implementation of such rolling horizon strategies is described in detail in the studies by Misra et al (2019) and Misra et al (2020) and is not included in the paper to maintain brevity.…”

Section: Mathematical Formulationmentioning

confidence: 99%

Integration of Supply and Demand Side Management Using Renewable Power Sources: Application on an Air Separation Plant

Gudi

Pravin

Bhartiya

2021

Ind. Eng. Chem. Res.

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Exploitation and implementation of renewable energy can substantially advance development, improve energy security, and alleviate the climate change problem. Integrating multiple renewable energy sources with grid power could potentially reduce the dependency on nonrenewable energy sources. However, because of the intermittent nature of the former, a tight integration between the supply and demand side management is necessary to facilitate uninterrupted power distribution and efficient energy consumption. This paper discusses an optimization framework that integrates supply and demand side management with application toward an energy-intensive cryogenic air separation process that is equipped with an in-house power generation system comprising multiple renewable and deterministic power sources as well as an energy storage system. The proposed framework integrates the power generation and purchase decisions along with the production complexities of the air separation plant (ASP). The optimal power generation schedule and the optimal production schedule provided by the proposed integration framework have been shown to minimize the total energy cost required to operate and meet the production requirement of the cryogenic ASP. An economic analysis is also performed to study the economic viability of including an in-house renewable source-based power generation and storage system with the ASP.

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“…To overcome this limitation, the proposed hybrid time algorithm is embedded in a rolling horizon implementation strategy, which facilitates corrective actions. The key idea is to find a sequence of decisions that are made by solving a finite horizon problem multiple times successively. − The efficacy of implementing the proposed hybrid time MIRP framework embedded in a rolling horizon strategy is demonstrated using suitable case studies in this paper. The results also demonstrate the advantages of combining multiple time representations in accurately capturing the process nuances.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Time-Based Framework for Maritime Inventory Routing Problem

Kapadi¹,

Gudi

2020

Ind. Eng. Chem. Res.

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The choice of a suitable time representation plays a major role in designing a computationally efficient planning/ scheduling framework. For the time representation to be effective, it needs to capture the nuances of the actual process, while ensuring that the resultant model is tractable and computationally efficient. In this paper, a novel time representation scheme, titled hybrid time discretization, which combines both continuous-and discrete-time representations in a single framework, is proposed and used to solve a complex multiproduct maritime inventory routing problem (MIRP) with undedicated compartments. Several continuous-and discrete-time-based frameworks have been proposed to solve the MIRP over the years. While single-/multigrid discretized frameworks do efficiently capture the time-sensitive nuances of the problem (such as active/inactive jetty hours and hourly/daily variations in the demands), they struggle to solve larger problem instances to the required optimality gap in a reasonable time. This is primarily due to the large disparities among the timings of different task components in the model. On the other hand, continuous-time representation can significantly reduce the problem size and computational effort; however, modeling the entire problem using the continuous-time-based framework could have problems in representing some time-sensitive intricacies in the demands and jetty/port activities. To allay the above-mentioned drawbacks, in this paper, a novel hybrid time representation is proposed, which combines a continuous-time representation with a multigrid discrete-time framework. The proposed novel framework is cast in a rolling horizon strategy and tested on various scenarios generated for the above-mentioned maritime transportation problem, which are shown to be significantly more complex than those presented in the literature. The proposed MILP framework is able to solve most of the test cases to the required optimality in a reasonable time without the need for heuristic or meta-heuristic assists. The proposed hybrid time representation could find significant utility in other lateral applications such as batch scheduling and inventory routing problems.

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Resource Optimization and Inventory Routing of the Packaged Liquefied Gas Supply Chain

Cited by 11 publications

References 17 publications

A mathematical model on liquefied natural gas supply chain with uncertain demand

A mathematical model on liquefied natural gas supply chain with uncertain demand

Integration of Supply and Demand Side Management Using Renewable Power Sources: Application on an Air Separation Plant

Hybrid Time-Based Framework for Maritime Inventory Routing Problem

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