scholarly journals Pricing Scheme of Ocean Carrier for Inbound Container Storage for Assistance of Container Supply Chain Finance

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Mingzhu Yu ◽  
Xin Tian ◽  
Lean Yu
Keyword(s):  
Supply Chain ◽  
Traffic Control ◽  
Free Space ◽  
Numerical Experiments ◽  
Container Terminal ◽  
Storage System ◽  
Optimal Solution ◽  
Storage Space ◽  
Supply Chain Finance ◽  
Pricing Scheme

The aim of this paper is to investigate the pricing scheme of ocean carrier for inbound container storage so as to assist container supply chain finance. In this paper, how an ocean carrier should set price of inbound container storage to the customer while facing the contract from the container terminal operator is first analyzed. Then, two different contract systems, the free-time contract system which is widely used in practice and the free-space contract system which is newly developed recently, are considered. In the two different contract systems, inbound container storage pricing models are constructed, and accordingly optimal solution approaches for the ocean carrier are provided. For comparison purpose, some numerical experiments for the two different contract systems are conducted to investigate the effects of the container terminal operator’s decision on the system outcomes. Numerical experiments show that (1) the carrier is more flexible in the free-space contract system and can receive more profit by using the free-storage-space as a pooling storage system and (2) the free-space contract system benefits both the carrier in profit and the busy terminal in traffic control.

Research on the Modeling of Tugboat Assignment Problem in Container Terminal

2012 ◽  
Vol 433-440 ◽  
pp. 1957-1961 ◽  
Author(s):  
Su Wang ◽  
Iko Kaku ◽  
Guo Yue Chen ◽  
Min Zhu
Keyword(s):  
Assignment Problem ◽  
Numerical Experiments ◽  
Solution Method ◽  
Programming Model ◽  
Container Terminal ◽  
Optimal Solution ◽  
Turnaround Time ◽  
Mixed Integer ◽  
Service Capacity ◽  
Decision Making Problem

Tugboat is one kind of important equipment in container terminal to help ships for docking or leaving the berth. Tugboat assignment operation is one of the most important decision making problem because it has an important effect on the turnaround time of ships. In this paper, a mixed-integer programming model combined with scheduling rule is formulated for the Tugboat Assignment Problem (TAP). Then a solution method is provided to obtain the optimal solution of TAP problem. Finally, numerical experiments are executed to illustrate the utility of the model and to analyze the effects of the number and service capacity of tugboats on the turnaround time of ships.

scholarly journals Supply Chain Finance for Targeted Poverty Alleviation: A Case Study of Suning

2020 ◽  
Author(s):  
Shanliang Li ◽  
Shan Yan ◽  
Liwen Liu
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Traffic Control ◽  
Poverty Alleviation ◽  
Economic Benefits ◽  
Agricultural Product ◽  
Financial Measures ◽  
Supply Chain Finance ◽  
Agricultural Supply

The sudden emergence of ‘COVID-19’ in 2020 has tightened traffic control in various places, which has posed a huge challenge to the agricultural product supply chain. This research introduces the perspective of supply chain finance, uses in-depth case study methods, and takes Suning’s agricultural supply chain finance as an example to discuss how e-commerce companies relying on big data adopt agricultural supply chain finance practices to promote accurate poverty alleviation. By analyzing Suning’s four agricultural supply chain financial operation models, we find that the internal and external stakeholders of the enterprise are the driving factors for enterprises to adopt agricultural supply chain finance, and the adoption of agricultural supply chain finance measures has brought economic benefits and social benefits to enterprises benefit. Advanced big data tools, fintech and cooperation with other partners are necessary to adopt agricultural supply chain financial measures.

scholarly journals Resources Planning for Container Terminal in a Maritime Supply Chain Using Multiple Particle Swarms Optimization (MPSO)

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 764 ◽  
Author(s):  
Hsien-Pin Hsu ◽  
Chia-Nan Wang
Keyword(s):  
Supply Chain ◽  
Container Terminal ◽  
Optimal Solution ◽  
Container Terminals ◽  
Particle Swarms ◽  
Scarce Resources ◽  
Second Stage ◽  
Event Based ◽  
Resources Planning ◽  
Multiple Particle

Resources planning is an important task in a supply chain in order to achieve a good result. The better the utilization of resources, especially scarce resources, the better the performance of a supply chain. This research focuses on allocating two scarce resources, i.e., berth and quay cranes (QCs), to ships that call at a container terminal in a maritime supply chain. As global container shipments continue to grow, improving the efficiency of container terminals is important. A two-stage approach is used to find the optimal/near-optimal solution, in which the first stage is devoted to generating alternative ship placement sequences as inputs to the second stage that subsequently employs an event-based heuristic to place ships, resolve overlaps of ships, and assign/adjust QCs so as to develop a feasible solution. For identifying a better approach, various heuristics/metaheuristics, including first-come first-served (FCFS), particle swarm optimization (PSO), improved PSO (PSO2), and multiple PSO (MPSO), have been employed in the first stage, respectively. The experimental results show that combining the MPSO with the event-based heuristic leads to a better result.

scholarly journals The Multi-Objective Model of Working Capital Optimization

2021 ◽  
Vol 14 ◽  
pp. 155-182
Author(s):  
Anastasiia Ivakina ◽  
◽  
Mariia Smirnova ◽  
Nikolay Zenkevich ◽  
◽  
...  
Keyword(s):  
Supply Chain ◽  
Optimal Solution ◽  
Capital Management ◽  
Working Capital ◽  
Working Capital Management ◽  
Multi Objective ◽  
Supply Chain Finance ◽  
Concurrent Use ◽  
Collaborative Working ◽  
Objective Model

In recent years, the topic of supply chain finance has gained a lot of attention from academia, but still, there are a lot of unexplored areas. For example, the literature demonstrates a clear gap of adequate application of numerous supply chain finance solutions for collaborative working capital management (Gelsomino et al., 2019). This issue becomes more and more important, specifically in terms of globalization and growing competition between supply chains when liquidity and profitability improvement is of paramount relevance. Companies focusing on their individual supply chain issues and taking their own interests into account rather than understanding the whole supply chain and collaborating with their partners are missing fruitful areas for improvements (Wuttke et al., 2016). The authors address this gap by developing a model for collaborative working capital management through supply chain finance adoption for the case of the three-stage supply chain. At the same time, the process of working capital optimization is received as a multi-objective problem. The results obtained indicate that the model of working capital optimization with concurrent use of multiple supply chain finance solutions is able to provide an optimal solution for all the cases considered in the research. It allows to decrease the total financial costs on working capital and supply chain finance solutions making individual ones not worse and at the same time achieve greater liquidity.

scholarly journals CONSTRUCTING A NETWORK EVALUATION FRAMEWORK FOR IMPROVING THE FINANCIAL ECOSYSTEM IN SMALL-MEDIUM SIZE FIRMS

2018 ◽  
Vol 24 (3) ◽  
pp. 893-913
Author(s):  
Cheng Shian LIN ◽  
Chun Yueh LIN
Keyword(s):  
Supply Chain ◽  
Evaluation Model ◽  
Academic Support ◽  
Optimal Solution ◽  
Analytic Network Process ◽  
Evaluation Framework ◽  
Medium Size ◽  
Supply Chain Finance ◽  
Proposed Model ◽  
Network Process

This study presents an evaluation framework to measure the various operations to acquire the optimal core operation (CO) when financier provides the supply chain finance (SCF) services in smartphone industry supply chain (SC). The proposed model applies the modify Delphi method and analytic network process (ANP). First, the evaluation model establishes a network with three criteria, eleven sub-criteria and four operations. Next, the ANP is utilized to the framework to obtain the relative weights of the criteria. Finally, the application of the multi-criteria decision making process will list the optimal CO on the basis of their rankings in the framework.The proposed model and the relevant research results can provide academic support to the decision-makers on finance sector with a valuable objective guide for assessing the CO of smartphone industry SC programs to determine the optimal solution in their actual administration of SCF service practices.

scholarly journals Implementation of a Multi-Objective Working Capital Management Strategy for Financial Supply Chains

2021 ◽  
Vol 14 ◽  
pp. 312-328
Author(s):  
Mariia Smirnova ◽  
◽  
Anastasiia Ivakina ◽  
Nikolay Zenkevich ◽  
◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Management Strategy ◽  
Optimal Solution ◽  
Capital Management ◽  
Working Capital ◽  
Working Capital Management ◽  
Multi Objective ◽  
Supply Chain Finance ◽  
Concurrent Use

The issue of adequate application of quantitative supply chain (SCF) solutions for cooperative working capital management becomes more and more important in terms of globalization and growing competition between supply chains (SCs). Authors address the problem by developing models for cooperative working capital management (WCM) through SCF adoption for the case of the three-stage supply chain. The grounding for the optimization is multicriteria approach. The multi-objective working capital optimization model (Ivakina et al., 2021) allows to nd optimal solution regardless initial financial and liquidity position of SC. In the article, we use this model to quantitatively implement a multi-objective working capital management strategy on the cases of real supply chains. The results obtained in the paper indicate that the model of working capital optimization with concurrent use of multiple supply chain finance solutions can provide an optimal solution for all the cases considered in the research. It allows to decrease the total financial costs on working capital and supply chain finance solutions making individual ones not worse and at the same time achieve greater liquidity.

Anti-Fraud in International Supply Chain Finance: Focusing on Moneual Case

2020 ◽  
Vol 24 (1) ◽  
pp. 59-81 ◽  
Author(s):  
Ki-Moon Han ◽  
Sae-Woon Park ◽  
Sunhae Lee
Keyword(s):  
Supply Chain ◽  
Supply Chain Finance

scholarly journals Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Self Assessment ◽  
Interpretive Structural Modeling ◽  
Supply Chain Finance ◽  
Network Process ◽  
Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

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