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Article
Publication date: 25 March 2021

Hua Song, Mengyin Li and Kangkang Yu

This study examines the role of financial service providers (FSPs) in assessing the supply chain credit of small and medium-sized enterprises (SMEs) and how they help SMEs…

Abstract

Purpose

This study examines the role of financial service providers (FSPs) in assessing the supply chain credit of small and medium-sized enterprises (SMEs) and how they help SMEs obtain supply chain finance (SCF) through an established digital platform using big data analytics (BDA).

Design/methodology/approach

This study conducted data mining analysis on the archival data of China's FSPs in the mobile production industry from 2015 to 2018, using neural networks in the first stage and multiple regression in the second stage.

Findings

The findings suggest that digital platforms sponsored by FSPs have a discriminative effect based on implicit BDA on identifying the quality and potential risks of borrowers. The results also show that tailored information utilised by FSPs has a supportive effect based on explicit BDA in helping SMEs obtain financing.

Originality/value

This study contributes to the emergent research on BDA in supply chain management by extending the contextual research on information signalling and platform theory in SCF. Furthermore, it examines the distinctive financing decision models of FSPs and provides a solution that addresses the information deficiency and overload of both lenders and borrowers and plays a certain reference role in alleviating the financing problems of SMEs.

Details

International Journal of Operations & Production Management, vol. 41 no. 4
Type: Research Article
ISSN: 0144-3577

Keywords

Abstract

Details

International Journal of Operations & Production Management, vol. 41 no. 4
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 5 June 2020

Chengxi Zhang, Jin Wu, Ming-Zhe Dai, Bo Li and Mingjiang Wang

The purpose of this paper is to investigate the attitude cooperation control of multi-spacecraft with in-continuous communication.

Abstract

Purpose

The purpose of this paper is to investigate the attitude cooperation control of multi-spacecraft with in-continuous communication.

Design/methodology/approach

A decentralized state-irrelevant event-triggered control policy is proposed to reduce control updating frequency and further achieve in-continuous communication by introducing a self-triggered mechanism.

Findings

Each spacecraft transmits data independently, without the requirement for the whole system to communicate simultaneously. The local predictions and self-triggered mechanism avoid continuous monitoring of the triggering condition.

Research limitations/implications

This investigation is suitable for small Euler angle conditions.

Practical implications

The control policy based on event-triggered communication can provide potential solutions for saving communication resources.

Originality/value

This investigation uses event- and self-triggered policy to achieve in-communication for the multi-spacecraft system.

Details

Aircraft Engineering and Aerospace Technology, vol. 92 no. 7
Type: Research Article
ISSN: 1748-8842

Keywords

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Article
Publication date: 21 March 2019

Prabhakaran N. and Sudhakar M.S.

The purpose of this paper is to propose a novel curvilinear path estimation model employing multivariate adaptive regression splines (MARS) for mid vehicle collision…

Abstract

Purpose

The purpose of this paper is to propose a novel curvilinear path estimation model employing multivariate adaptive regression splines (MARS) for mid vehicle collision avoidance. The two-phase path estimation scheme initially uses the offset (position) value of the front and the mid (host) vehicle to build the crisp model. The resulting crisp model is MARS regressed to deliver a closely aligned actual model in the second phase. This arrangement significantly narrows the gap between the estimated and the true path analyzed using the mean square error (MSE) for different offsets on Next Generation Simulation Interstate 80 (NGSIM I-80) data set. The presented model also covers parallel parking by encompassing the reverse motion of the host vehicle in the path estimation, thereby, making it amicable for real-road scenarios.

Design/methodology/approach

The two-phase path estimation scheme initially uses the offset (position) value of the front and the mid (host) vehicle to build the crisp model. The resulting crisp model is MARS regressed to deliver a closely aligned actual model in the second phase.

Findings

This arrangement significantly narrows the gap between the estimated and the true path studied using MSE for different offsets on real (Next Generation Simulation-NGSIM) data. The presented model also covers parallel parking by encompassing the reverse motion of the host vehicle in the path estimation. Thereby, making it amicable for real-road scenarios.

Originality/value

This paper builds a mathematical model that considers the offset and host (mid) vehicles for appropriate path fitting.

Details

International Journal of Intelligent Unmanned Systems, vol. 7 no. 2
Type: Research Article
ISSN: 2049-6427

Keywords

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