Product Quality Problems Research Articles

Tripartite Evolutionary Game Analysis of Product Quality Supervision in Live-Streaming E-Commerce

With the rapid development of information technology, live-streaming e-commerce has risen rapidly as a new business model. However, product quality problems that exist in the development of live-streaming e-commerce continue to emerge. The influence of strategic interactions between social media influencers, live-streaming e-commerce platforms, and consumers on product quality deserves to be studied. Therefore, this paper constructs a tripartite game model of “social media influencers–the live-streaming e-commerce platform–consumers” and analyzes the dynamic evolution process of the strategy selection among subjects and influencing factors by using evolutionary game theory. This study shows that products with high functional value are more likely to stimulate consumer rights protection behavior, prompting social media influencers to shift from lax to strict quality control. But when the emotional value is high, consumers are more inclined to give up on defending their rights, which leads to the maintenance of lax quality control, and the platform supervision will be weakened accordingly. Moreover, less quality differences motivate social media influencers to choose lax quality control. An increase in quality differences will promote a shift from an equilibrium strategy to strict quality control. However, if the penalty of the platforms is not strong enough, this strategic shift will not happen. In addition, a high percentage of platform commissions can encourage influencers to implement strict quality control, while platforms can maintain weak supervision. This study’s findings provide valuable guidance for understanding and managing product quality issues in live-streaming e-commerce. In the future, the government will be considered a new player in the game in studying the impact of its policies on product quality in live-streaming e-commerce.

Active Adaptive Composite Fault Tolerant Controller Design For Nonlinear Systems

Abstract It can be seen from the public opinion monitoring that there are many cases of death and injury caused by quality problems of mechanical products, which poses a serious threat to people’s lives. Therefore, it is particularly important to analyze the reliability of mechanical products. This study focuses on active adaptive composite fault tolerant controller (ACFTC) design for nonlinear system with actuator fault. Firstly, a novel iterative learning observer (ILO) is proposed to estimate the early potential fault. And then, the ACFTC approach is proposed in order to obtain desired performance in the faulty case based on the fault estimation information from ILO. Finally, simulation of the flexible joint robot system verifies the validity and applicability of the algorithm.

Study on the Role of Additives in Calcination Desulfurization Process of High Sulfur Petroleum Coke

Due to the high sulfur content of high sulfur petroleum coke, sulfur-containing gas will be produced in the production process, reducing product quality and other problems, resulting in increased production costs and equipment corrosion. How to reduce the sulfur content of high sulfur petroleum coke is of great significance to improve the utilization rate of high sulfur petroleum coke and the sustainable development of related industries. In this paper, the desulfurization of high sulfur petroleum coke was carried out by using the additive-assisted high-temperature calcination method. It was found that the desulfurization effect of different kinds of desulfurization additives was different, among which MO1, MC2, MC1 desulfurization effect was better, and the desulfurization rate could reach 68%, 58%, 56%. After compounding the three desulfurizers, the desulfurization rate can be up to 75%, and then the influence of calcination temperature and time on the desulfurization rate was investigated. Finally, the physicochemical properties of petroleum coke before and after desulfurization were analyzed by X RD, FT-IR.

Research of blockchain-embedded agricultural quality credit regulation influencing factors

PurposeThe credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.Design/methodology/approachUsing the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.FindingsThe results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.Originality/valueCredit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.

Analysis and solution of sparking fault in IGBT connection copper bar of compact driver

With the high-speed development of modern industrial automation, the demand for miniaturization of the high-current driver is higher and higher, which makes the space inside the driver more and more compact. According to the traditional installation form, in the production process, there will be screw deviation or loose during the use of the problem. Then, this can lead to final product quality problems such as fire. To solve the mechanical connection problems, based on the Datsan of the ignition problem, this paper puts forward some solutions, such as operation, Torque Detection, and Mark re-checking. A method is proposed to improve the reliability and save the cost of the drive product is recommended.

A narrative review on problems in product quality, regulatory system constraints, and the concept of quality by design as a solution for quality assurance of African medicines.

The provision of medicines with confirmed quality and efficacy is critical for maintaining the public health and building confidence in the healthcare systems. However, the presence of poor-quality medicines still presents a significant challenge in the pharmaceutical landscape across the African regions. This is further exacerbated by the lack of consistency or discrepancy in the current regulatory framework. As a consequence, given the current constraints, a robust regulatory structure that can guarantee the supply chains attainment of the intended medicinal product requirements are required. The review aimed to provide a detailed analysis of the quality issues in the pharmaceutical supply in Africa, highlighting the challenges and proposing potential solutions for its mitigation. The review was conducted from May 2023 to April 2024. This narrative review examined poor-quality medicines, regulatory challenges, and mitigation strategies in the African pharmaceutical industry. The review utilized databases such as Google Scholar, PubMed, and Web of Science. The search strategy was customized to include open-access articles published in peer-reviewed scientific journals in English and focused exclusively on studies conducted in African countries. The review portrays the prevalence of poor-quality medicinal products in various regions of Africa. Among various categories of findings, 42% of the reports on poor-quality medicinal products come from the African region, as per the WHO report. Furthermore, separate findings on substandard medicinal products from many African countries were encountered. The presence of problems in the regulatory system, such as the absence of any pharmacopeia belonging to any African country and variation/inconsistency in each country's regulatory set-up, was indicated. Other factors for the inability to enforce regulatory law, such as insufficient skilled and committed human resources, the presence of corruption, as well as financial resource scarcity, were revealed in the review. From the situational analysis, the possibility of building a robust quality assurance system in the near future through a quality by design approach under existing resource limitations was discussed. The pharmaceutical sector in Africa faces significant challenges, including the prevalence of poor-quality medicines and weak regulatory enforcement. Tackling these challenges are vital for enhancing health outcomes throughout the continent through the provision of high-quality medicines. Trending toward quality by design in the quality assurance system under prevailing financial scarcity can be very beneficial.

Dynamic Modeling and Analysis of Bernoulli Production Lines With Small-Lot Orders and Product Quality Problems

Dynamic Modeling and Analysis of Bernoulli Production Lines With Small-Lot Orders and Product Quality Problems

Agent-based Decision Making and Control of Manufacturing System Considering the Joint Production, Maintenance, and Quality by Reinforcement Learning

Taking an integrated approach towards production, maintenance, and control in manufacturing systems is crucial due to the profound impact of their interconnections. Investigating these aspects in isolation may lead to infeasible solutions. This research focuses on the real-time and autonomous decision-making process concerning joint production planning, maintenance, and quality problems in a stochastic deteriorating production system with limited maintenance activities. Formulating the problem as a continuous semi-Markov decision process accounts for the complexities of the real production system and the occurrence of events over an uneven and continuous period. While dynamic programming is a common tool for addressing joint optimization problems, it has limitations, such as the curse of dimensionality. In this study, the optimal policy of the decision-maker agent is obtained by the goal-directed machine learning method called (R-SMART) and agent-based modeling. To the author's knowledge, the proposed approach is novel, and there is little research on such an implementation of the joint optimization problem. The quality of the optimal policy is evaluated through heuristic and simulation-optimization methods in various scenarios. The results demonstrate that the proposed RL-based method outperforms others in most scenarios, achieving a stable, integrated optimal policy.

Optimization of Briquette Classification Using Deep Learning

Indonesia needs energy to meet its needs. Energy sourced from waste is called biomass briquettes. The manufacture of briquettes is still done in a traditional way, so there are product quality problems. A computational approach has been taken to base the quality of the product on certain characteristics so that the types of briquettes that are made can be classified or sorted. The research objective of this work is to determine the quality of briquettes. The approach uses deep learning methods and convolutional neural network (CNN) architecture. Classification is based on good and bad briquette products, and testing is based on the level of performance accuracy. The dataset formed consists of 5,280 images. As training data, 85% of data is used and 15% is used as test data using 300 epoch parameters, 32 batch sizes, and learning speed up to 0.001. The results of testing and evaluating the performance of briquette products with the general CNN architecture have a level of accuracy that is not optimal. The optimization results of testing the MobileNetV2 architecture with a ratio of 70:30 obtains predictions with 0.99 as the highest accuracy value and 0.73 as the lowest. The average predicted value of the model is 0.95. The computational approach is able to provide traditional communities with solutions for the process of making briquettes.

Research on the Product Quality Problem of Chinese Online Shopping Platform Enterprises -Based on Pinduoduo

This paper takes Pinduoduo, a famous e-commerce platform in China, as an example, analyzes the typical product quality problems of the platform, and obtains the method to improve the product quality of the e-commerce platform. The research method adopted in this paper is case analysis and hypothesis demonstration, using existing papers and financial information disclosed by enterprises to locate, analyze and solve the possible product quality problems of Pinduoduo. At present, the main problems of Pinduoduo are frequent quality management mistakes between the platform and suppliers, easy enterprise marketing methods to cause customer dissatisfaction, and improper internal management of enterprises. The above problems are common in China's e-commerce platforms. The main theory used in this paper is Deming's 14-point management principles. The conclusion is that the e-commerce platforms represented by Pinduoduo should stop taking the price as the only channel to choose suppliers, change their marketing strategies, and improve the internal management level of enterprises.

PRODUCT QUALITY (PQ) IDENTIFICATION IN MANUFACTURING COMPANIES: THE PERSPECTIVE OF MANAGERS AND EXECUTIVES

Pursuing quality as one of the main goals of a competitive manufacturing company is very important. The quantity of features and characteristics of a product reflects its quality. One of the most important aspects is that managers and executors (team members) must understand the importance of quality and know what factors affect it and what solutions take place with identified problems. Based on the identification of product quality from the point of view of managers and executives, problems are identified, and solutions are provided to change the situation. If they do not have a common understanding of product quality issues, the situation in production only worsens. Decision-making often requires access to real-time data, analytics, and resources that are typically managed by relevant departments or MANAGERS. Expected, that EXECUTORS follow established procedures and report issues to their MANAGERS. Organizations must empower their frontline employees with the authority and training to make decisions related to equipment operation and maintenance. The results of the Exploratory research revealed that the work of managers and executives with product quality has a lot of disadvantages. The general perspective of managers and executors in solving product quality problems and making decisions to eliminate them include a shared understanding of quality standards, effective communication, data-driven decision-making, empowerment, a commitment to continuous improvement, problem-solving skills, resource allocation, risk management, ongoing training, customer focus, and documentation. Organizations must empower their frontline employees with the authority and training to make decisions related to equipment operation and maintenance. In such cases, EXECUTORS are expected to exercise their judgment and expertise to keep operations running smoothly. The general perspective of managers and executors in solving product quality problems and making decisions to eliminate them include a shared understanding of quality standards, effective communication, data-driven decision-making, empowerment, a commitment to continuous improvement, problem-solving skills, resource allocation, risk management, ongoing training, customer focus, and documentation. By working collaboratively and emphasizing these factors, organizations can effectively address and prevent quality issues.

Who should adopt blockchain? The interplay between blockchain adoption and online channel under competition

With the frequent occurrence of product quality and product safety problems, traditional supply chain traceability systems have become increasingly untrustworthy to consumers due to their centralization, opacity, and vulnerable to tampering. Blockchain technology, as an emerging information technology, can help to increase consumer trust and resolve these issues. This paper investigates a competitive market with two rival supply chains that manufacture and sell two substitutable products. We establish a game model to analyze the equilibrium strategy in the implementation of blockchain technology and online channel, under the scenarios of blockchain adoption by the manufacturer and the retailer, and further explore the effects of blockchain technology on supply chain efficiency and consumer surplus. Additionally, we compare various blockchain technology adoption scenarios and determine the optimal candidate for blockchain adoption. The following results are shown. First, the equilibrium strategies for applying blockchain technology and online channel depend on the entry cost, the net surplus of substitute product, and the deployment cost of blockchain technology. Second, blockchain technology can only influence online channel decisions when the entry cost is moderate, and may encourage (discourage) the manufacturer to establish an online channel when it is utilized by the manufacturer (retailer). Thirdly, blockchain technology is certain to expand the market share of the product but is likely to detriment the retailer and the consumers when the manufacturer utilizes it. If blockchain technology is adopted by the retailer, the market share and consumer surplus may decrease, but the manufacturer will be unharmed. Lastly, the manufacturer has greater flexibility in adoption decisions when blockchain technology can be implemented by both the manufacturer and the retailer.

The Impact Of Product Quality And Service Quality On Consumer Satisfaction At Kedai Falsafah Ngopi Bogor, Indonesia

In the current era of globalization the business world is growing day by day so companies will not be separated from competition and are required to provide a good marketing system. The problem of product quality, service quality and customer satisfaction is the determining factor so it needs to be investigated. The sampling technique used was purposive sampling with a total sample of 60. The data collection technique used a questionnaire that had been tested for validity, reliability test, and classical assumption test. The data analysis method used was multiple linear regression analysis, correlation coefficient analysis, and coefficient of determination analysis. A hypothesis test was also conducted using the F test method and the t test. The results showed that simultaneously and partially product quality, service quality had a positive and significant effect on consumer satisfaction. It is recommended to evaluate to find information that makes consumers comfortable and satisfied.

Effect of Al content on the agglomeration behavior of inclusions in high Al steel

The product quality problem of high Al steel is closely related to the agglomeration behavior of inclusions. The present study firstly established the stability diagram of inclusion in the Fe–Al–O–N system, thereby evaluating the formation behavior and control condition of various inclusions can be obtained. Based on that, laboratory-scale experiments with different Al contents were designed to obtain the inclusion evolution process. Furthermore, the calculated agglomeration forces were used to explain the difference of evolution of various inclusions. The cavity bridge force increases with the increase of diameter of inclusions and decrease of distance between inclusions, and the van deer Waals force decreases with the increase of diameter and distance. Due to the cavity bridge force is larger than van deer Waals force, the inclusions firstly approached each other by van deer Waals force and then agglomerated by cavity bridge force. In addition, the cavity bridge force of Al2O3 is larger than that of AlN at the same condition because of the larger contact angle. However, the increase of Al content makes this phenomenon converse. When the Al content is > 3 wt. %, the cavity bridge force of AlN is larger than that of Al2O3. When the Al content is > 7 wt. %, the cavity bridge force of Al2O3 disappears. The study can provide theoretical support for inclusion control in high Al steel.

Objective rating method for fabric pilling based on LSNet network

Fabric fuzzing and pilling have long been a problem in the textile industry, and consumer complaints about fabric fuzzing and pilling account for about 29.5% of the total textile product quality problems every year. At present, more and more subjective rating methods are used at home and abroad to rate fabric pilling, but there are still certain limitations, such as slow speed and subjectivity, which prompted the exploration of an accurate and objective automatic rating method to become a very urgent need. In response to these problems, this work is based on the multi-feature fusion convolutional neural network (CNN) Light-Smart-Network (LSNet) that has the capability to objectively grade fabric pilling. The fuzzing and pilling data is first set for six kinds of knitted fabrics, woven fabrics, and non-woven fabrics; next, the LSNet network determines the best parameters for objective rating. The network model is composed of a SqueezeNet branch (S1 Branch) and a ShuffleNet branch (S2 Branch), where the S1 Branch uses deep separable convolution (DSC) to improve the Fire module of the SqueezeNet network and adds an attention mechanism that makes the network favor contextual information. An S2 Branch adds short connections to the ShuffleNet network to combine feature maps of different sizes, perform fusion, enhance the network’s ability to extract feature map information, and optimize some details. Experiments show that the accuracy of LSNet’s objective rating for fabric fuzzing and pilling is 97.386% with a model size of only 5.25 M. Finally, the LSNet model is verified via a heat and feature map, which proves that LSNet has an objective rating for fabric fuzzing and pilling reliability.

THE ROLES OF BRAND TRUST AND E-WOM (ELECTRONIC WORD OF MOUTH) ON SHOPEE’S CUSTOMER LOYALTY IN MANADO

The purpose of this study is to explore the roles of brand and E-WOM on Customer loyalty, Study the case of customers of Shopee in Manado. This research is qualitative research using a case study approach. Primary data was gathered from an in-depth interview of 20 informants that used Shopee with 2 years of minimum use as the sample chosen using purposive. The data was analyzed through qualitative data analysis. The results show that brand trust has an important role in Customer loyalty, especially among Shopee customers in Manado. The indicators of brand trust namely: Perceived quality, Perceived ease-of-use, customer commitment, customer satisfaction, and product quality are the factors of brand trust to keep the customer stay loyal to the Shopee Brand. The findings for E-WOM that using the coding method also has an important role in Shopee customer loyalty which refers to the affirmation of the customers that perceive E-WOM as a reliable, helpful, adequate, and trustworthy non-commercial informational source. This study suggests that Shopee management or online shop owners keep their quality control over products so that the old customer would be easy to retain and there will be lessened critics over the problem of product quality and time prediction on products' arrival. Thus, the overall benefits can be felt by all parties involved. Keywords: brand trust, E-WOM, customer loyalty, perceived quality, repurchase, quality control

Supply chain quality level decision considering block-chain technology

Aiming at the problem of unqualified product quality, a two-level supply chain game model under two modes is established. The backward induction method is used to solve the decision variables to be analyzed and explore the application conditions of blockchain technology. We found that the supply chain with the smaller application cost, the smaller qualified rate of product quality and service quality, and the larger loss of reputation is the most suitable to use blockchain technology. Product quality, service quality and market price are improved. In addition, we also discuss the influence of sensitivity coefficient on product quality and service quality. The smaller the cost coefficient of product quality and the larger the importance of product quality are, the better the effect of product quality improvement is. The smaller the cost coefficient of service quality and the larger the importance of service quality are, the better the effect of service quality improvement is. It provides a reliable basis for better quality decision.

Research on the influence of product quality on customer satisfaction and strategy optimization of Dewu APP

The e-commerce industry is a development boom in the 21st century, and the rise of this industry will bring a new economic development model. In this paper, Dewu App, a typical online shopping e-commerce platform, is used as an example to study the problem faced by most e-commerce platforms, namely the impact of product quality on consumer satisfaction. This way, the author puts forward targeted opinions and provides new ideas for solving the problem. Literature review and case study are mainly methods used in this paper. According to the number of complaints and complaint keywords, this paper points out the product quality problems Dewu App faces and provides targeted solutions according to different objects. These insights can also be a reference when other e-commerce platforms face quality issues.

A Combination of Vision‐ and Sensor‐Based Defect Classifications in Extrusion‐Based Additive Manufacturing

Additive manufacturing, also known as 3D printing, has been facing the problem of inconsistent processing defects and product quality as a transformative technology, thus hindering its wide application in industry and other fields. In this context, machine learning (ML) algorithms are increasingly used for automatic classification of process data to achieve computer‐aided defect detection. Specifically, in this paper, two data‐driven classification prediction models are built by monitoring the sensing signals (temperature and vibration data) and interlayer images during the printing process, using the fused deposition model (FDM) as the base case, and the prediction results of the two machine learning models are fused for prediction. The experimental results show that by fusing the prediction results of the two models, the classification accuracy is significantly higher than the prediction results of a single model. These findings can benefit researchers studying FDM with the goal of producing systems that self‐adjust online for quality assurance.

Risk Factors and Practices for the Development of Open Source Software From Developers’ Perspective

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">INTRODUCTION</i> Open source software (OSS) has achieved popularity, however there are various software product quality problems, security issues and different difficulties confronting the OSS growth that need to be identified and addressed. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">OBJECTIVES</i> The main focus of this research is to pinpoint the risk factors associated with open source and the practices/solutions to those risks which will help software development companies and individuals to mitigate the risks. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">METHODS</i> Systematic literature review (SLR) is exercised for identification of potential risk factors in OSS whereas questionnaire survey is used to validate the findings of the SLR from the relevant expert community. Further, a secondary SLR is carried out to identify the practices for softening the effect of risk-factors in OSS development. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RESULTS</i> A total of 14 risk factors from developers perspective are identified via SLR in OSS. Bugs in source code, insufficient product documentation, and lack of appropriate communication and coordination among developers are identified as the three most important factors. Further, we performed a secondary SLR to identify the practices for mitigating the effects of the risk factors in OSS. This research has identified a total of 31 practices for mitigating and addressing the risk factors for OSS. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CONCLUSION</i> In this work, we identified 14 risk factors and 31 practices/solutions for mitigating the critical risk factors, through SLR for adapting OSS development from developers’ perspectives. We argue that focusing on the identified risk factors would minimize the risks associated with OSS. We also recommend that OSS developers should diligently consider all the risk factors that have been identified in the study for increased software productivity and distribution of reliable and robust source code.