Ang Yang, Yu Cao, Yang Liu, Qingcheng Zeng and Fangqiang Xiu
Magnet spot is the primary method to develop the automated guided vehicle (AGV) guidance system for many automated container terminals (ACT). Aiming to improve the high…
Abstract
Purpose
Magnet spot is the primary method to develop the automated guided vehicle (AGV) guidance system for many automated container terminals (ACT). Aiming to improve the high flexibility of AGV operation in ACT, this paper aims to address the problem of technical stability leading to ACT production paralysis and propose a mini-terminal AGV robot for testing laser simultaneous location and mapping (SLAM)-based methods in ACT operation scenarios.
Design/methodology/approach
This study developed a physical simulation robot for terminal AGV operations, providing a platform to test technical solutions for applying laser navigation-related technologies in ACTs. Then, the terminal-AGV navigation system framework is designed to apply the laser-SLAM-based method in the physical simulation robot. Finally, the experiment is conducted in the terminal operation scenario to verify the feasibility of the proposed framework for lased-SLAM-based method testing and analyze the performance of the different mini-terminal AGV robots.
Findings
A series of experiments are conducted to analyze the performance of the proposed mini-terminal AGV robot for laser-SLAM-based method testing. The experimental results show the validity and effectiveness of the AGV robot and AGV navigation system framework with better local map matching, loopback and absolute positional error.
Originality/value
The proposed mini-terminal AGV robot and AGV navigation system framework can provide a platform for innovative laser-SLAM-based method testing in ACTs applications. Therefore, this study can effectively meet the high requirements of ACT for maturity and stability of the laser navigation technical.
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Sim Kim Lau, Ang Yang Ang and Graham Winley
Technology can influence the nature of work performed by information systems and information technology professionals. This study aims to identify technologies and tasks performed…
Abstract
Technology can influence the nature of work performed by information systems and information technology professionals. This study aims to identify technologies and tasks performed by information systems and information technology professionals in a range of business organisations in Singapore. The study examines what technologies will become increasingly important in the business organizations as advances in information technology affect the work performed by information systems professionals. A list of information systems tasks and relationships between the tasks and technologies will be examined. The role of information systems and information technology professionals in relation to the tasks performed will also be discussed.
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Salaheldin I. Salaheldin and Arthur Francis
States that a review of the literature on materials requirements planning (MRP) implementation in less developed countries in general, and in Egypt in particular, revealed that no…
Abstract
States that a review of the literature on materials requirements planning (MRP) implementation in less developed countries in general, and in Egypt in particular, revealed that no systematic study has attempted to investigate how manufacturing companies have been implementing MRP systems. Thus attempts to investigate the state of the art of MRP implementation in Egypt. States the major mail survey findings of the 93 responses received, of which 52 were MRP companies which operated in quite different business environments within the Egyptian industrial sector. The findings of the current study may permit MRP managers and users to obtain a better understanding of MRP promoters, suggest some ideas for further research and acquaint the reader elsewhere in the world how manufacturing companies in less developed countries such as Egypt are implementing new production management systems like MRP systems. The findings of the study suggest that MRP implementation in Egypt is relatively similar to implementation in manufacturing companies in the newly industrialised countries in the west.
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This study examines the bid/ask spread and its components in the KOSPI200 options market under the framework of the cross-market model, which utilizes the order flow information…
Abstract
This study examines the bid/ask spread and its components in the KOSPI200 options market under the framework of the cross-market model, which utilizes the order flow information of both KOSPI200 futures and options markets. We also compare the results by the single-market model (MRR model; Madhavan et al., 1997) and by the cross-market model (Ryu (2011)’s extension). This comparison suggests that the cross-market approach can mitigate the underestimation of the permanent spread component of OTM options and the overestimation of the component of ITM options, which are often detected when we directly apply the single market model into the KOSPI200 options market where the ITM options are relatively illiquid while the OTM options are extremely liquid. We also find that the effect of the order flow information of the futures market on the option spread and its permanent spread component will vary depending on the option moneyness and the intraday time period. This implies that the order flow of the futures market has more significant effects if the degree of informed trading is relatively high.
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This paper tried to find out whether the information from foreign capital markets can improve the forecasting power for the realized volatility of KOSPI200 index. The realized…
Abstract
This paper tried to find out whether the information from foreign capital markets can improve the forecasting power for the realized volatility of KOSPI200 index. The realized volatility is estimated by using both daily return series and 5 minutes intraday data of KOSPI200. The volatilities of S&P100 return series and Won/Dollar exchange rate are considered as the information from foreign capital markets, and the volatility of Korean domestic interest rate is introduced as an additional variable to improve the forecasting power for the realized volatility of KOSPI200 returns. It turns out that those additional variables are statistically significant to improve the forecasting power for the realized volatility of KOSPI200.
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Mohammed Abdulla Aldhaheri and Bo Xia
The smart building concept has gained prominence in the construction sector during the past decade. In the United Arab Emirates, although smart building technology has been widely…
Abstract
Purpose
The smart building concept has gained prominence in the construction sector during the past decade. In the United Arab Emirates, although smart building technology has been widely adopted in different building sectors, no empirical studies have examined the applicability of the smart buildings concept in prison facilities. The current study aims to understand the current status of prison buildings in the UAE and the challenges faced by the prison industry to implement new smart technology.
Design/methodology/approach
This study involved a semi-structured interview consisting of 14 participants who were interviewed face-to-face about their opinion about the objectives of the study. The interviewees were experts from the prison and construction industry of the UAE working at the top management level. Mind-maps were created from the thematic data using Nvivo software.
Findings
The results demonstrated that among current issues prevailing in prisons, overcrowding was regarded as the most severe issue. Additionally, in most cases, there is no systemic classification of inmates. Concerning the potential challenges in the implementation of smart technologies in the prison buildings, being too old and outdated of prison buildings are a significant concern, followed by a substantial gap in the approval system of budget to purchase new smart technology.
Originality/value
The findings of this study are of vital importance and help to identify potential challenges involved in the implementation of smart technologies in prison buildings that should be taken into consideration before selecting any new smart technology.
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This paper introduces a novel method, Variance Rule-based Window Size Tracking (VR-WT), for deriving a sequence of estimation window sizes. This approach not only identifies…
Abstract
Purpose
This paper introduces a novel method, Variance Rule-based Window Size Tracking (VR-WT), for deriving a sequence of estimation window sizes. This approach not only identifies structural change points but also ascertains the optimal size of the estimation window. VR-WT is designed to achieve accurate model estimation and is versatile enough to be applied across a range of models in various disciplines.
Design/methodology/approach
This paper proposes a new method named Variance Rule-based Window size Tracking (VR-WT), which derives a sequence of estimation window sizes. The concept of VR-WT is inspired by the Potential Scale Reduction Factor (PSRF), a tool used to evaluate the convergence and stationarity of MCMC.
Findings
Monte Carlo simulation study demonstrates that VR-WT accurately detects structural change points and select appropriate window sizes. The VR-WT is essential in applications where accurate estimation of model parameters and inference about their value, sign, and significance are critical. The VR-WT has also helped us understand shifts in parameter-based inference, ensuring stability across periods and highlighting how the timing and impact of market shocks vary across fields and datasets.
Originality/value
The first distinction of the VR-WT lies in its purpose and methodological differences. The VR-WT focuses on precise parameter estimation. By dynamically tracking window sizes, VR-WT selects flexible window sizes and enables the visualization of structural changes. The second distinction of VR-WT lies in its broad applicability and versatility. We conducted empirical applications across three fields of study: CAPM; interdependence analysis between global stock markets; and the study of time-dependent energy prices.
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Wenliang Fan, Wei Shen, Qingbin Zhang and Alfredo H.-S. Ang
The purpose of this study is to improve the efficiency and accuracy of response surface method (RSM), as well as its robustness.
Abstract
Purpose
The purpose of this study is to improve the efficiency and accuracy of response surface method (RSM), as well as its robustness.
Design/methodology/approach
By introducing cut-high-dimensional representation model (HDMR), the delineation of cross terms and the constitution analysis of component function, a new adaptive RSM is presented for reliability calculation, where a sampling scheme is also proposed to help constructing response surface close to limit-state.
Findings
The proposed method has a more feasible process of evaluating undetermined coefficients of each component function than traditional RSM, and performs well in terms of balancing the efficiency and accuracy when compared to the traditional second-order polynomial RSM. Moreover, the proposed method is robust on the parameter in a wide range, indicating that it is able to obtain convergent result in a wide feasible domain of sample points.
Originality/value
This study constructed an adaptive bivariate cut-HDMR by introducing delineation of cross-terms and constitution of univariate component function; and a new sampling technique is proposed.
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Ting Chen, Feng Yang, Feifei Shan and Fengmei Xu
Opaque selling has become popular among service providers in recent years. Although many researchers have investigated the optimality of opaque selling for service providers…
Abstract
Purpose
Opaque selling has become popular among service providers in recent years. Although many researchers have investigated the optimality of opaque selling for service providers focusing on heterogeneous consumers, one question remaining unexplored is how the service providers’ optimal decisions are impacted by competitive intensity in a heterogeneous market. This paper aims to determine the conditions under which opaque selling is optimal for competing service providers.
Design/methodology/approach
The paper takes a Hotelling model to characterize the competition between two service providers. The authors also consider the interaction between the service providers and intermediary. Service providers act as game leaders and determine whether they should cooperate with the intermediary to introduce the opaque service.
Findings
The authors find that two competing service providers do not always benefit from opaque selling in a heterogeneous market consisting of leisure and business consumers, and the competitive intensity plays a significant role in the service providers’ decision optimization. Opaque selling allows service providers to acquire more profit in a highly competitive market or when the market contains a large proportion of leisure consumers. Otherwise, it is optimal for service providers without introducing the opaque selling.
Practical implications
The paper examines the optimality of opaque selling for competing service providers, and provides the suggestions to optimize the service providers’ decisions.
Originality/value
The paper investigates how the service providers’ optimal decisions are impacted by competitive intensity, considering the interaction between the service providers and intermediary.
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Himanshu Seth, Saurabh Chadha and Satyendra Sharma
This paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates…
Abstract
Purpose
This paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates the influence of several exogenous variables on the WCM efficiency.
Design/methodology/approach
WCM efficiency was calculated using BCC input-oriented DEA model. Further, the panel data fixed effect model was used on a sample of 1391 Indian manufacturing firms spread across nine industries, covering the period from 2008 to 2019.
Findings
Firstly, the WCM efficiency of Indian manufacturing industries has been stable over the analysis period. Secondly, the capacity to generate internal resources, size, age, productivity, gross domestic product and interest rate significantly influence WCM efficiency.
Research limitations/implications
First, the selected study period has observed various economic uncertainties including demonetization and recession, so the scenario might differ in normal conditions or country-wise. Second, the findings might not be generalizable to the developed economies, since the current study sample belongs to a developing economy, which further provides scope for comparative study.
Practical implications
An efficient model for managing the working capital comprising most vital determinants could enhance the firms' valuation and goodwill. Also, this study would be helpful for financial executives, manufacturers, policymakers, investors, researchers and other stakeholders.
Originality/value
This study estimates the industry-wise WCM efficiency of the Indian manufacturing sector and suggests measures to the concerned parties on areas to focus on and provide evidence on the estimated relationships of firm-level and macroeconomic determinants with WCM efficiency.