Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System Reliability

Yang, Ang; Wang, Rumeng; Sun, Yuhui; Chen, Kang; Chen, Zigen

doi:10.1109/access.2020.3032556

Cited by 10 publications

(8 citation statements)

References 62 publications

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“…One of the recent works in the area of inventory routing is [36], in which the authors develop a MILP model addressing multi-visit multi-voyage shu le tanker scheduling with a heterogeneous tanker fleet. An example of a multi-objective decision-making problem may be found in [37], where the authors consider the reliability of shu le tanker operational schedules in addition to the traditional cost minimization objective. The following subsections discuss the existing literature on integrating key logistical decisions for coordinating various segments of the petroleum supply chain.…”

Section: Literature On Inventory-routing Problemsmentioning

confidence: 99%

Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination

Redutskiy,

Balycheva

2024

Energies

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Today, the world is transitioning from traditional energy to clean, renewable sources. The petroleum sector is to play a role in this transition by supporting material and energy needs related to developing new energy systems. It is, therefore, vital that in upcoming years, the petroleum sector runs in a smart and efficient way, which can be achieved by coordination and the meaningful integration of decision-making issues in petroleum supply chains (PSCs). The existing literature on PSC optimization reveals a research gap; specifically, there is an insufficient level of technological detail considered while planning capacities of new infrastructures and its impact on the efficiency of further operations, specifically in the push segment of the PSC. This paper proposes a mixed-integer nonlinear programming model for planning capacities and coordinating activities within the mentioned PSC segment. The infrastructure capacity planning model covers technological details such as hydraulics and pump systems’ operational efficiency. The results reveal that the proposed model and its technological decision-making criterion of minimizing energy consumption drive infrastructural choices and operational modes to achieve machinery performance close to the best efficiency point. Also, the computational results demonstrate how traditional (minimum-cost) approaches lead to inefficient energy use while producing and transporting hydrocarbons. The proposed framework aims to facilitate the preliminary design stage of projects undertaken by engineering contractors in the energy sector.

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Section: Literature On Inventory-routing Problemsmentioning

confidence: 99%

Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination

Redutskiy,

Balycheva

2024

Energies

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“…Constraint (18) guarantees that the cycle supply of every hub island transported by the BFR does not exceed the deadweight of the ship equipped with the BFRGs. Constraint (19) requires that the total cycle supply of the hub islands transported by any CR in the main network should not exceed the deadweight of the ship equipped with the CR. Constraints (20) and (21) enforce the value range of the schedule of the BFRGs and CRs, respectively, in the branch network.…”

Section: Formulationmentioning

confidence: 99%

“…Rusdianto et al [16] developed a mixed-integer planning model for the MIRP problem of cement transport to minimise transport costs. Dauzere-Peres et al [17], Christiansen et al [18] and Yang et al [19] studied the MIRP using genetic algorithms. Moin et al [20] solved an IRP with a finite horizon, multiple periods, multiple suppliers, and multiple products using a hybrid genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Location Inventory Routing Optimisation Model and Algorithm for a Remote Island Shipping Network considering Emergency Inventory

Xiao

et al. 2022

Sustainability

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This paper studies a hub-and-spoke shipping network of remote islands and integrates a maritime location inventory routing problem for a remote island shipping network considering emergency inventory. By determining a series of decisions, including the location of the hub islands, number of shipping routes, schedule of every route, travelling mode of every route, ship size, wharf scale, and inventory capacity, the objective of this study is to minimise the total cost of the remote island shipping network over the operating period. Subsequently, a mixed-integer programming model to minimise the total cost of the system is developed. To solve the model, we present a genetic algorithm based on a stepwise configuration module (SC-GA). Finally, instances are proposed to evaluate the performance of the algorithm. The results of the instance calculation show that the algorithm has good applicability and effectiveness in solving the problem in this paper. Through algorithm comparison, it is found that the performance of SC-GA is better than the algorithms in the relevant literature. This paper provides practical information for the design, optimisation and sustainability of remote island shipping networks considering emergency inventory.

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“…e primary objective of selecting and establishing a distribution center is to save money on logistics operations. erefore, when measuring the indicators of cross-border e-commerce supply imbalance [7,8], it is necessary to first calculate the inventory center's construction, inventory, and transfer costs [9,10]. e initial construction cost of the inventory center is the highest among 2…”

Section: Risk Measurement Model Defines Cross-border E-commerce Imbal...mentioning

confidence: 99%

“…In formula (10), r i represents the annual demand of inventory, v i represents the annual inventory value, H 0 represents the annual storage cost, in which the individual storage cost accounts for a small proportion of the total expenditure. erefore, considering the comprehensive storage cost, the cost is defined to be proportional to the inventory, and the risk coefficient is introduced in combination with the historical experience data.…”

Section: Optimizing Inventory Managementmentioning

confidence: 99%

A Cross-Border e-Commerce Cold Chain Supply Inventory Planning Method Based on Risk Measurement Model

Liu¹

2022

Mobile Information Systems

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Inventory planning results are less reliable when the statistical problem of supply chain risk factors is not considered. In conjunction with the risk measurement model, a cross-border e-commerce cold chain supply inventory planning method is proposed to effectively address the aforementioned issues. This paper aims to define the fundamental elements of the supply chain network, determine the supply chain's imbalance range, and develop a risk measurement model and also to calculate the ordering cost and storage cost, the storage cost, the cross-border e-commerce imbalance index based on the risk measurement model, the node imbalance, the dynamic programming algorithm for the imbalance node, and the identification method for the cross-border e-commerce supply chain imbalance node. Taking inventory strategy into account, the optimization model of distribution node location and the node importance evaluation system are developed. The planning of cold chain supply inventory for cross-border e-commerce is studied based on an optimized management inventory. The experimental results indicate that the throughput of the research method is between 1000 and 2500 Mbps, that the overall fluctuation range and delay are small, and that the inventory turnover rate has been significantly increased, thereby satisfying the requirements of engineering materials inventory management.

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Coastal Shuttle Tanker Scheduling Model Considering Inventory Cost and System Reliability

Cited by 10 publications

References 62 publications

Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination

Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination

A Location Inventory Routing Optimisation Model and Algorithm for a Remote Island Shipping Network considering Emergency Inventory

A Cross-Border e-Commerce Cold Chain Supply Inventory Planning Method Based on Risk Measurement Model

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