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1 – 10 of over 37000In a kitting supply system, the occurrence of material-handling errors is unavoidable and will cause serious production losses to an assembly line. To minimize production losses…
Abstract
Purpose
In a kitting supply system, the occurrence of material-handling errors is unavoidable and will cause serious production losses to an assembly line. To minimize production losses, this paper aims to present a dynamic scheduling problem of automotive assembly line considering material-handling mistakes by integrating abnormal disturbance into the material distribution problem of mixed-model assembly lines (MMALs).
Design/methodology/approach
A multi-phase dynamic scheduling (MPDS) algorithm is proposed based on the characteristics and properties of the dynamic scheduling problem. In the first phase, the static material distribution scheduling problem is decomposed into three optimization sub-problems, and the dynamic programming algorithm is used to jointly optimize the sub-problems to obtain the optimal initial scheduling plan. In the second phase, a two-stage rescheduling algorithm incorporating removing rules and adding rules was designed according to the status update mechanism of material demand and multi-load AGVs.
Findings
Through comparative experiments with the periodic distribution strategy (PD) and the direct insertion method (DI), the superiority of the proposed dynamic scheduling strategy and algorithm is verified.
Originality/value
To the best of the authors’ knowledge, this study is the first to consider the impact of material-handling errors on the material distribution scheduling problem when using a kitting strategy. By designing an MPDS algorithm, this paper aims to maximize the absorption of the disturbance caused by material-handling errors and reduce the production losses of the assembly line as well as the total cost of the material transportation.
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Muhammad A. Ayub, Ruziyati Tajuddin and Michael R. Jackson
In the garment industry, web lace fabric material must be tensioned and placed at the right position and orientation prior to the cutting process. In order to avoid a bottleneck…
Abstract
Purpose
In the garment industry, web lace fabric material must be tensioned and placed at the right position and orientation prior to the cutting process. In order to avoid a bottleneck, the speed of material handling must be relatively fast compared to the laser cutting speed so that the use of a laser for rapid prototyping of two‐dimensional (2D) cutting shapes is feasible. The purpose of this paper is to describe the development of a novel gripping system for handling flexible web materials.
Design/methodology/approach
The manner in which this intelligent material handling system operates will be discussed in this paper. This includes its system configuration, errors that may occur during the web handling operation, and sequential operations of web distortion control. The material handling system uses a machine vision system coupled with a self‐tuning motion control strategy to assist the material handling system in controlling the web tension, adjusting the web deformation parameters and transporting the web materials.
Findings
The online image analysis and a novel mechanical design concept, coupled with the motion controller, are the key issues in the mechatronic integration of this intelligent web‐based material handling system.
Originality/value
The paper presents a novel approach to designing and realizing an intelligent gripping system, which has not previously been attempted.
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Antonio Casimiro Caputo, Pacifico Marcello Pelagagge and Paolo Salini
The purpose of this paper is to develop a quantitative model to assess probability of errors and errors correction costs in parts feeding systems for assembly lines.
Abstract
Purpose
The purpose of this paper is to develop a quantitative model to assess probability of errors and errors correction costs in parts feeding systems for assembly lines.
Design/methodology/approach
Event trees are adopted to model errors in the picking-handling-delivery-utilization of materials containers from the warehouse to assembly stations. Error probabilities and quality costs functions are developed to compare alternative feeding policies including kitting, line stocking and just-in-time delivery. A numerical case study is included.
Findings
This paper confirms with quantitative evidence the economic relevance of logistic errors (LEs) in parts feeding processes, a problem neglected in the existing literature. It also points out the most frequent or relevant error types and identifies specific corrective measures.
Research limitations/implications
While the model is general purpose, conclusions are specific to each applicative case and are not generalizable, and some modifications may be required to adapt it to specific industrial cases. When no experimental data are available, human error analysis should be used to estimate event probabilities based on underlying modes and causes of human error.
Practical implications
Production managers are given a quantitative decision tool to assess errors probability and errors correction costs in assembly lines parts feeding systems. This allows better comparing of alternative parts feeding policies and identifying corrective measures.
Originality/value
This is the first paper to develop quantitative models for estimating LEs and related quality cost, allowing a comparison between alternative parts feeding policies.
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Cathy Van Dyck, Nicoletta G. Dimitrova, Dirk F. de Korne and Frans Hiddema
The main goal of the current research was to investigate whether and how leaders in health care organizations can stimulate incident reporting and error management by “walking the…
Abstract
Purpose
The main goal of the current research was to investigate whether and how leaders in health care organizations can stimulate incident reporting and error management by “walking the safety talk” (enacted priority of safety).
Design/methodology/approach
Open interviews (N=26) and a cross-sectional questionnaire (N=183) were conducted at the Rotterdam Eye Hospital (REH) in The Netherlands.
Findings
As hypothesized, leaders’ enacted priority of safety was positively related to incident reporting and error management, and the relation between leaders’ enacted priority of safety and error management was mediated by incident reporting. The interviews yielded rich data on (near) incidents, the leaders’ role in (non)reporting, and error management, grounding quantitative findings in concrete case descriptions.
Research implications
We support previous theorizing by providing empirical evidence showing that (1) enacted priority of safety has a stronger relationship with incident reporting than espoused priority of safety and (2) the previously implied positive link between incident reporting and error management indeed exists. Moreover, our findings extend our understanding of behavioral integrity for safety and the mechanisms through which it operates in medical settings.
Practical implications
Our findings indicate that for the promotion of incident reporting and error management, active reinforcement of priority of safety by leaders is crucial.
Value/originality
Social sciences researchers, health care researchers and health care practitioners can utilize the findings of the current paper in order to help leaders create health care systems characterized by higher incident reporting and more constructive error handling.
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Xingyu Wang, Priyanko Guchait and Aysin Paşamehmetoğlu
Hospitality work setting is error-prone, rendering error handling critical for effective organizational operation and quality of service delivery. An organization’s attitude…
Abstract
Purpose
Hospitality work setting is error-prone, rendering error handling critical for effective organizational operation and quality of service delivery. An organization’s attitude toward errors can be traced back to one fundamental question: should errors be tolerated/accepted or not? This study aims to examine the relationships between error tolerance and hospitality employees’ three critical work behaviors, namely, learning behavior, error reporting and service recovery performance. Psychological safety and self-efficacy are hypothesized to be the underlying attitudinal mechanisms that link error tolerance with these behavioral outcomes.
Design/methodology/approach
This study relied on a survey methodology, collecting data from 304 frontline restaurant employees in Turkey and their direct supervisors. SPSS 25.0 and Amos 25.0 were used for analysis.
Findings
The results revealed that error tolerance had direct positive relationships with employees’ psychological safety and self-efficacy, both of which had positive impacts on learning behavior and error reporting. In addition, learning behavior positively influenced employees’ service recovery performance, as rated by the employees’ supervisors.
Originality/value
This study identifies error tolerance as an organizational distal factor that influences employees’ learning behavior, error reporting and service recovery performance; and identifies self-efficacy and psychological safety as mediators of the relationship between error tolerance and behavioral outcomes. The findings help clarify the longstanding debate over the relationship between an organization’s attitude toward errors and its employees’ learning behavior. The findings also shed light on the advantages of tolerating error occurrence for organizations, which is especially important as most hospitality organizations pursue perfection with aversive attitudes toward errors.
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Maria Luisa Farnese, Francesco Zaghini, Rosario Caruso, Roberta Fida, Manuel Romagnoli and Alessandro Sili
The importance of an error management culture (EMC) that integrates error prevention with error management after errors occur has been highlighted in the existing literature…
Abstract
Purpose
The importance of an error management culture (EMC) that integrates error prevention with error management after errors occur has been highlighted in the existing literature. However, few empirical studies currently support the relationship between EMC and errors, while the factors that affect EMC remain underexplored. Drawing on the conceptualisation of organisational cultures, the purpose of this paper is to verify the contribution of authentic leadership in steering EMC, thereby leading to reduced errors.
Design/methodology/approach
The authors conducted a cross-sectional survey study. The sample included 280 nurses.
Findings
Results of a full structural equation model supported the hypothesised model, showing that authentic leadership is positively associated with EMC, which in turn is negatively associated with the frequency of errors.
Practical implications
These results provide initial evidence for the role of authentic leadership in enhancing EMC and consequently, fostering error reduction in the workplace. The tested model suggests that the adoption of an authentic style can promote policies and practices to proactively manage errors, paving the way to error reduction in the workplace.
Originality/value
This study was one of the first to investigate the relationship between authentic leadership, error culture and errors. Further, it contributes to the existing literature by demonstrating both the importance of cultural orientation in protecting the organisation from error occurrence and the key role of authentic leaders in creating an environment for EMC development, thus permitting the organisation to learn from errors and reduce their negative consequences.
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This paper investigates whether error management orientation (EMO) of hospitality employees influence their service recovery performance (SRP) through self-efficacy.
Abstract
Purpose
This paper investigates whether error management orientation (EMO) of hospitality employees influence their service recovery performance (SRP) through self-efficacy.
Design/methodology/approach
In Study 1, data was collected from 161 hotel managers in the USA. In Study 2, data was collected from 215 restaurant employees in Turkey. Partial least squares (PLS) method using SmartPLS 3.3.3 was used for data analysis.
Findings
The results indicated that EMO of hospitality employees increases their self-efficacy beliefs which in turn enhance their SRP. The findings were consistent in both studies.
Practical implications
Hospitality organizations should consider assessing EMO of individuals when making selection decisions. These organizations should also consider providing error management training to employees to develop their EMO, improve error management skills and performance.
Originality/value
To the best of the author’s knowledge, this is the first study that focuses on EMO of hospitality managers and employees. Error orientation refers to how individuals cope with and how they think about errors at work. Errors are part of our work lives, and a positive orientation toward errors (i.e. EMO) can have a significant impact on individuals’ work attitudes, behaviors and performances. This is the first study that examines EMO as an important predictor of SRP. This study also makes a contribution by studying the mediating effect of self-efficacy to understand the underlying mechanism that links EMO with SRP.
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Ming K. Lim, Yan Li and Xinyu Song
With the fierce competition in the cold chain logistics market, achieving and maintaining excellent customer satisfaction is the key to an enterprise's ability to stand out. This…
Abstract
Purpose
With the fierce competition in the cold chain logistics market, achieving and maintaining excellent customer satisfaction is the key to an enterprise's ability to stand out. This research aims to determine the factors that affect customer satisfaction in cold chain logistics, which helps cold chain logistics enterprises identify the main aspects of the problem. Further, the suggestions are provided for cold chain logistics enterprises to improve customer satisfaction.
Design/methodology/approach
This research uses the text mining approach, including topic modeling and sentiment analysis, to analyze the information implicit in customer-generated reviews. First, latent Dirichlet allocation (LDA) model is used to identify the topics that customers focus on. Furthermore, to explore the sentiment polarity of different topics, bi-directional long short-term memory (Bi-LSTM), a type of deep learning model, is adopted to quantify the sentiment score. Last, regression analysis is performed to identify the significant factors that affect positive, neutral and negative sentiment.
Findings
The results show that eight topics that customer focus are determined, namely, speed, price, cold chain transportation, package, quality, error handling, service staff and logistics information. Among them, speed, price, transportation and product quality significantly affect customer positive sentiment, and error handling and service staff are significant factors affecting customer neutral and negative sentiment, respectively.
Research limitations/implications
The data of the customer-generated reviews in this research are in Chinese. In the future, multi-lingual research can be conducted to obtain more comprehensive insights.
Originality/value
Prior studies on customer satisfaction in cold chain logistics predominantly used questionnaire method, and the disadvantage of which is that interviewees may fill out the questionnaire arbitrarily, which leads to inaccurate data. For this reason, it is more scientific to discover customer satisfaction from real behavioral data. In response, customer-generated reviews that reflect true emotions are used as the data source for this research.
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Jagroop Kaur and Jaswinder Singh
Normalization is an important step in all the natural language processing applications that are handling social media text. The text from social media poses a different kind of…
Abstract
Purpose
Normalization is an important step in all the natural language processing applications that are handling social media text. The text from social media poses a different kind of problems that are not present in regular text. Recently, a considerable amount of work has been done in this direction, but mostly in the English language. People who do not speak English code mixed the text with their native language and posted text on social media using the Roman script. This kind of text further aggravates the problem of normalizing. This paper aims to discuss the concept of normalization with respect to code-mixed social media text, and a model has been proposed to normalize such text.
Design/methodology/approach
The system is divided into two phases – candidate generation and most probable sentence selection. Candidate generation task is treated as machine translation task where the Roman text is treated as source language and Gurmukhi text is treated as the target language. Character-based translation system has been proposed to generate candidate tokens. Once candidates are generated, the second phase uses the beam search method for selecting the most probable sentence based on hidden Markov model.
Findings
Character error rate (CER) and bilingual evaluation understudy (BLEU) score are reported. The proposed system has been compared with Akhar software and RB\_R2G system, which are also capable of transliterating Roman text to Gurmukhi. The performance of the system outperforms Akhar software. The CER and BLEU scores are 0.268121 and 0.6807939, respectively, for ill-formed text.
Research limitations/implications
It was observed that the system produces dialectical variations of a word or the word with minor errors like diacritic missing. Spell checker can improve the output of the system by correcting these minor errors. Extensive experimentation is needed for optimizing language identifier, which will further help in improving the output. The language model also seeks further exploration. Inclusion of wider context, particularly from social media text, is an important area that deserves further investigation.
Practical implications
The practical implications of this study are: (1) development of parallel dataset containing Roman and Gurmukhi text; (2) development of dataset annotated with language tag; (3) development of the normalizing system, which is first of its kind and proposes translation based solution for normalizing noisy social media text from Roman to Gurmukhi. It can be extended for any pair of scripts. (4) The proposed system can be used for better analysis of social media text. Theoretically, our study helps in better understanding of text normalization in social media context and opens the doors for further research in multilingual social media text normalization.
Originality/value
Existing research work focus on normalizing monolingual text. This study contributes towards the development of a normalization system for multilingual text.
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Xingyu Wang, Priyanko Guchait and Aysin Paşamehmetoğlu
On the basis of conservation of resources theory, the purpose of this paper is to propose a framework linking an organizational factor, organizational error tolerance, with…
Abstract
Purpose
On the basis of conservation of resources theory, the purpose of this paper is to propose a framework linking an organizational factor, organizational error tolerance, with employees’ psychological well-being through gains of psychological resources: perceived organizational support (POS) and organization-based self-esteem (OBSE).
Design/methodology/approach
Across three-wave data collected from 220 hotel frontline employees, this study tests the proposed model using structural equation modeling through AMOS.
Findings
Employees’ perceived organizational error tolerance positively influenced their psychological well-being through significant sequential mediation effects of POS and OBSE.
Practical implications
This study contributes to the existing literature of psychological resources, positive psychology and error management by providing insights into how organizational practice in error situations can be positively related to employees’ psychological well-being.
Originality/value
This paper identifies error-related organizational practices as precursor of individual psychological well-being and explores the non-work-related outcome variable of error management for the first time. The examination of the linkage between organizational error tolerance and employees’ psychological well-being via the underlying mechanism of psychological resources provides the insight into how resources dynamics play important roles in influencing employees’ psychological well-being.
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