Improving Quality of Crane-Lorry Assignments With Constraint Programming

Chun, Hon Wai; Wong, Rosa S.

doi:10.1109/tsmcc.2006.887013

Cited by 8 publications

(5 citation statements)

References 29 publications

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“…In other words, B2B marketers were not only seeking to adopt AI technologies in general B2B administration but also wanted more value-added services to increase profits (Backhaus et al, 2010). Other themes were of less salient, including 'algorithm' (Schellhorn, 2009;Piao et al, 2009), 'service' (Lei et al, 2008;Chun and Wong, 2007) and 'marketing' (Laínez et al, 2010;Li and Li, 2009;Li, 2007). As shown in Figure 7, most of these overlap with the major theme 'B2B', indicating they are significantly connected to B2B marketing (e.g., such as adopting novel algorithms to improve B2B marketing services).…”

Section: -2010: Development Of B2b Support Systemsmentioning

confidence: 99%

“…Other themes were of less salient, including “algorithm” (Schellhorn, 2009; Piao et al , 2009), “service” (Lei et al , 2008; Chun and Wong, 2007) and “marketing” (Laínez et al , 2010; Li and Li, 2009; Li, 2007). As shown in Figure 7, most of these overlap with the major theme “B2B”, indicating they are significantly connected to B2B marketing (e.g.…”

Section: Research Trends and Future Directionsmentioning

confidence: 99%

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Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

Han

Lam

Zhan

et al. 2021

IMDS

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PurposeAlthough the value of artificial intelligence (AI) has been acknowledged by companies, the literature shows challenges concerning AI-enabled business-to-business (B2B) marketing innovation, as well as the diversity of roles AI can play in this regard. Accordingly, this study investigates the approaches that AI can be used for enabling B2B marketing innovation.Design/methodology/approachApplying a bibliometric research method, this study systematically investigates the literature regarding AI-enabled B2B marketing. It synthesises state-of-the-art knowledge from 221 journal articles published between 1990 and 2021.FindingsApart from offering specific information regarding the most influential authors and most frequently cited articles, the study further categorises the use of AI for innovation in B2B marketing into five domains, identifying the main trends in the literature and suggesting directions for future research.Practical implicationsThrough the five identified domains, practitioners can assess their current use of AI and identify their future needs in the relevant domains in order to make appropriate decisions on how to invest in AI. Thus, the research enables companies to realise their digital marketing innovation strategies through AI.Originality/valueThe research represents one of the first large-scale reviews of relevant literature on AI in B2B marketing by (1) obtaining and comparing the most influential works based on a series of analyses; (2) identifying five domains of research into how AI can be used for facilitating B2B marketing innovation and (3) classifying relevant articles into five different time periods in order to identify both past trends and future directions in this specific field.

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Section: -2010: Development Of B2b Support Systemsmentioning

confidence: 99%

Section: Research Trends and Future Directionsmentioning

confidence: 99%

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

Han

Lam

Zhan

et al. 2021

IMDS

View full text Add to dashboard Cite

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“…In order to meet the demand for faster load handling, crane motion must be controlled so that its dynamic performance is optimized. Specifically, the control of overhead crane systems aims to achieve both position and anti-swing control [16]. As the swing of the load depends on the acceleration of the trolley, minimizing both operation time and load swing can be defined as partially contradictory requirements.…”

Section: Introductionmentioning

confidence: 99%

Further Research on an Anti-Swing Control System for Overhead Cranes

Spruogis

Jakštas

Gičan

et al. 2018

Eng. Technol. Appl. Sci. Res.

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A method of reducing load oscillations that occur when overhead crane reaches destination position is presented in the article. The use of control drive scheme of crane bridge and trolley that ensures a smooth phase trajectory transition of the load to the optimum trajectory in accordance with Pontryagin's maximum principle is proposed. Mentioned control system changes the magnitude or direction of the traction force at the moment when the load is located above the destination. It is found that the degree of change of the traction force depends on the hoisting rope deviation angle from vertical. This study was conducted in order to provide more accurate and fast handling of loads by overhead crane.

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“…The need for faster cargo handling requires control of the crane motion so that its dynamic performance is optimized. Specifically, the control of overhead crane systems aims to achieve both position regulation and anti-swing control [6]. Several authors have discussed this problem, for example, time-optimal control was considered in [3], the use of boundary conditions was developed in [2] and [22].…”

Section: Introductionmentioning

confidence: 99%

Anti-Swing Control For An Overhead Crane With Fuzzy Compensation

Li¹,

Yu²

2012

Intelligent Automation & Soft Computing

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This paper proposes a novel anti-swing control strategy for an overhead crane. The controller includes both position regulation and anti-swing control. Since the crane model is not exactly known, fuzzy rules are used to compensate friction, gravity as well as the coupling between position and anti-swing control. A high-gain observer is introduced to estimate the joint velocities to realize PD control. Real-time experiments are presented comparing this new stable anti-swing PID control strategy with regular crane controllers.

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Improving Quality of Crane-Lorry Assignments With Constraint Programming

Cited by 8 publications

References 29 publications

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

Further Research on an Anti-Swing Control System for Overhead Cranes

Anti-Swing Control For An Overhead Crane With Fuzzy Compensation

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