Product Quality Research Articles

Enhancing sustainability with improved cook stoves: an analysis of product quality, consumer satisfaction and word-of-mouth through expectancy disconfirmation theory

Purpose Anchoring on expectancy disconfirmation theory, this study aims to investigate the influence of product quality, customer satisfaction and word-of-mouth (WOM) on improved cook stoves (ICSs). The study also examines customer satisfaction as a mediator and explores a case-specific analysis of the interrelationships. Design/methodology/approach Data were elicited using a structured survey conducted during February 2024 across rural, semirural and urban areas in Nepal. A purposive sampling method was used, distributing 300 questionnaires and obtaining 222 valid responses, reflecting a response rate of 74%. Respondents included 70 females and 152 males, with an average age of 32.42 years, and 48.2% of the population from rural areas. Hypotheses tested included product quality affecting WOM, product quality impacting customer satisfaction and customer satisfaction mediating the relationship between product quality and WOM. PLS-SEM was used for hypothesis testing. Findings The results reveal that product quality significantly enhances WOM and customer satisfaction. Furthermore, customer satisfaction mediates the relationship between product quality and WOM, emphasizing the importance of satisfaction as a driver of positive WOM. Research limitations/implications The study focuses on ICS adoption in a specific region. Future research should explore these dynamics across different cultural and geographic contexts to validate and generalize the findings. Originality/value This research provides a novel perspective on the role of product quality and customer satisfaction in driving WOM for ICSs. It highlights how consumer satisfaction mediates these relationships, offering actionable insights for improving ICS adoption strategies.

Effect of vegetable oil unsaturation and minor polar components on the physical properties of rice bran wax oleogels.

For the practical application of oleogels and to produce oleogels with consistent properties, a full understanding of the factors affecting properties of oleogels is necessary. This study aimed to understand the effects of type of oil and minor components in oils on the properties of 3% and 7% rice bran wax (RBW) oleogels, which were prepared with 12 vegetable oils with different degrees of unsaturation as well as the same oils where polar compounds were removed (stripped oils). Correlation coefficients of iodine values (IVs) of oils with the firmness of 3% and 7% RBW stripped oil oleogels were -0.632 and -0.499, respectively, indicating that the gel strength decreased with increasing unsaturation of oil. The gel strength increased after removing polar compounds in oil for all the oleogel samples. Higher unsaturation of oil resulted in higher solid wax contents (SWCs) in 7% RBW stripped oil oleogels (r=0.617), which, however, did not affect the gel strength. Very thin, large platelet wax crystals were observed under phase-contrast microscopy, which were almost identical across the oleogel samples. The permeation of dyed oil through oleogels was faster with unstripped oil oleogels than stripped oil oleogels, and the negative correlation between the color permeation rate and the firmness of oleogels was significant (r=-0.602 at Day 28) indicating that defects in the three-dimensional crystal network is an important factor for the gel strength. This study found several important factors affecting the physical properties of RBW oleogels, which can be applied to their practical applications. PRACTICAL APPLICATION: For the practical application of oleogels, factors affecting properties of oleogels must be fully understood so that the quality of oleogel-containing food products could be well controlled. Although oil is the major component of oleogels, the effect of the type of oil on oleogel properties was not well understood to date, and this study revealed very important relationships between oil properties and oleogel properties, which can be applied to the production of oleogel-containing products. The major findings are that gel strength was higher with lower unsaturation of oil and less polar compounds in oil and that melting temperature was higher with higher unsaturation of oil.

Can the co-creation of local food products be a key factor in rural development?

PurposeThis study aims to comprehensively explore the behaviour of potential consumers in terms of their perception of how local agri-food co-creation activities in rural areas influence the perceived quality of agri-food products and the perceived value of the sustainable development goals (SDGs) in rural areas. To do so, it is important to start by answering the research question: Are consumers interested in the co-creation of agri-food products in rural areas?Design/methodology/approachThe methodology consists of two phases, one qualitative and one quantitative. The first phase includes four interviews with experts on gastronomy, rural tourism and services in rural areas and two focus groups with consumers involved in the research topic. In the quantitative phase, a representative sample of almost 700 people in Spain was obtained.FindingsThe first result shows a high level of interest in participating in co-creation activities with agri-food products in rural areas. Other research results suggest that the social integration of consumers with the local community through co-creation activities could improve the appreciation and market position of local foods, as well as their perceived beneficial effect on sustainable development goals. The results also demonstrate how the perceived value of co-creation activities has a positive impact on the intention to undertake and recommend such activities.Originality/valueThis study highlights the importance of co-creation in rural areas, in line with the SDGs and consumer preferences for locally produced sustainable food. Involving consumers in the production process allows small producers to stand out, fostering innovation and rural development. The results show consumers' interest in co-creation, motivated by altruism and the desire to preserve local heritage. The study highlights the indirect impact of co-creation on rural development, emphasising the perceived value and engagement of consumers. Ultimately, it suggests promoting sustainable rural economies through collaborative efforts between producers, consumers and local stakeholders.

Analisis Strategi dan Perkembangan Industri di Indonesia

This study analyzes the strategy and development of industry in Indonesia with the aim of identifying the main factors that influence the growth of the industrial sector. This study uses a qualitative method with a literature study through related documents and journals. The results of the study indicate that industrial growth is influenced by economic, social, technological factors, and government policies. These factors include the growth of the manufacturing sector, the availability of skilled labor, investment, and the adoption of Industrial Revolution 4.0 technology. Government strategies such as Making Indonesia 4.0, tax incentives, and infrastructure improvements have played a significant role in encouraging industrial competitiveness in the global market. However, challenges such as limited infrastructure, high production costs that hinder growth, especially for Micro, Small and Medium Enterprises (MSMEs) and product quality that does not meet international standards are still major obstacles. This study concludes that in order to maintain competitiveness, industry must increase innovation, implement new technologies and strengthen the quality of human resources. The active involvement of the government in supporting policies and infrastructure is crucial to encourage sustainable industrial development.

Multi-dimensional Dataset of Stress Measurements based on Performance, Behavioural, and Perceptual Indicators

The role of humans in industry is changing due to the technological transformation of production processes, which represents a potential source of stress for workers. In this context, the NO-STRESS project aims to combine objective and subjective data collected during task execution to explore causes of work-related stress and propose solutions to mitigate them. This paper describes the within-subjects study design used in the project, where each participant was exposed to all experimental conditions, and outlines the workflow developed during the study. Moreover, it describes the behavioural, performance and perceptual indicators of participants’ stress collected during the execution of full-kitting, component quality control, assembly and product quality monitoring tasks. The data collection sessions were conducted in different manufacturing contexts. The collected data may be reused to compare stress intensity among different subjects considering individual factors and experimental conditions. In addition, the results of stress in manufacturing may be compared to the intensity of this phenomenon in other sectors. The consequent outcomes may have practical implications for work contexts and benefits for society as a whole.

Computer-Vision-Based Product Quality Inspection and Novel Counting System

In this study, we aimed to enhance the accuracy of product quality inspection and counting in the manufacturing process by integrating image processing and human body detection algorithms. We employed the SIFT algorithm combined with traditional image comparison metrics such as SSIM, PSNR, and MSE to develop a defect detection system that is robust against variations in rotation and scale. Additionally, the YOLOv8 Pose algorithm was used to detect and correct errors in product counting caused by human interference on the load cell in real time. By applying the image differencing technique, we accurately calculated the unit weight of products and determined their total count. In our experiments conducted on products weighing over 1 kg, we achieved a high accuracy of 99.268%. The integration of our algorithms with the load-cell-based counting system demonstrates reliable real-time quality inspection and automated counting in manufacturing environments.

Novel variant transformer-based method for aluminum profile surface defect detection

Abstract The detection of surface defects on metal plays a pivotal role in the evaluation of product quality for aluminum profiles. So far, the most prevalent approach for detecting metal surface defects is still through the utilization of traditional conventional neural networks (CNNs). However, transformer-based methods have made notable improvements in computer vision in recent years, exhibiting superiority over traditional CNNs in the majority of tasks. In regard to aluminum surface defect image characteristics, such as intricate textures, few defect samples, and large-scale differences in various defects, traditional CNNs have difficulty further improving performance. This paper proposes a novel method based on a variant transformer for surface defect detection of aluminum profiles, which combines a traditional CNN and a transformer architecture with a deformable attention module (DAM). The DAM better focuses on part of critical sampling points around the reference point, which alleviates the unacceptable complexity in high-resolution feature maps and enhances the recognition effect of small target defects. The image stitching method proposed uses defect-free samples to generate new samples, which partially mitigates the issue of class imbalance. Moreover, we carried out supplementary experiments to confirm the effectiveness of transfer learning in training small-scale datasets. Compared with the baseline, the mean average precision (mAP) was improved by 3.32%. Extensive experimental results demonstrate the efficacy of our method in accurately detecting surface defects of aluminum profiles and significantly improving the detection of small target defects.

The causal effect of local product market shocks on equity holdings: Evidence from the airline industry

AbstractWe examine how local product market shocks impact investors' willingness to own and trade the underlying stock. Using US airlines as our test setting, we exploit plausibly exogenous variation in flight routes. We find that active traders increase their ownership by 10.6% in response to a one standard deviation increase in the airline's local market share supply. The effects occur within a year of the shock and are positively related to measures of customer satisfaction. The evidence is most consistent with the view that investment decisions are based on both familiarity and investors' perception of product quality.

Supply Chain Management Control in the Aerospace Sector: An Empirical Approach

Introduction: The aerospace industry has been significantly disrupted by recent economic downturns, underscoring the need for robust supply chain management. This is especially important given the complexity of aircraft manufacturing, the globalization of supply chains, and the requirement to meet stringent regulatory standards. While outsourcing is widely adopted to improve cost competitiveness, it also introduces risks, such as compromised product quality, inefficiency, and delays. Methods: This study explores how aerospace firms manage outsourcing relationships using control mechanisms. Data were gathered through seven semi-structured interviews with supply chain managers from contracting and supplier firms focusing on both formal and informal controls in supplier selection and relationship management. Results: Supplier selection is primarily guided by trust, past performance, and delivery reliability. Firms employ formal controls, such as KPIs and certifications, alongside informal practices, including embedding internal staff within supplier operations. This dual approach ensures quality, mitigates risks, and maintains compliance with regulatory standards. Conclusions: This study concludes that combining formal and informal controls is vital for balancing outsourcing efficiency with risk mitigation, offering valuable insights into supply chain management practices in regulated industries like aerospace.

Thermal Optimalization with CFD Analysis and Real-Time Performance Identification in Briquette Ovens Using Modbus-Based Communication

Briquette ovens that utilize biomass energy frequently face obstacles in achieving consistent heat distribution, resulting in ineffective energy usage and varying product quality. This study tackles these challenges by merging Computational Fluid Dynamics (CFD) analysis, performed with Cradle software, alongside a Modbus-based temperature data acquisition system to significantly boost energy efficiency and temperature regulation. A total of 32 K-type thermocouples were meticulously positioned within the oven to gather real-time temperature data, which was processed through LabVIEW. CFD simulations revealed irregular heat distribution patterns, especially at the rear of the oven. The temperature data obtained via Modbus corroborated these observations, allowing for strategic modifications to enhance heat distribution and minimize energy loss. The system achieved an impressive accuracy rate of 98.89%, with a mere error margin of 1.11%, substantially elevating the oven’s energy efficiency and briquette drying capabilities. This research clearly illustrates that the integration of CFD modeling with real-time data acquisition constitutes a powerful method for optimizing the functionality of industrial heating systems.

Real‐time measurement of heat stability of skim milk using attenuated total reflectance (ATR)‐FTIR spectroscopy

Milk proteins are susceptible to denaturation and aggregation upon heating, affecting product quality and shelf‐life. Understanding the underlying molecular changes during heating is important to the dairy industry for process optimisation and product functionality. This study used Attenuated Total Reflectance (ATR)‐Fourier Transform Infrared (FTIR) spectroscopy to non‐destructively measure changes in protein molecular structure as the precursor to heat‐induced aggregation in milk. Raw skim milk was divided into three subsamples, adjusted to pH 6.2, native pH or pH 7. Each sample was heated at 85°C on a BioATR crystal, with scans taken at 1‐min intervals over 20 min using FTIR to measure protein denaturation and aggregation. The second derivative of the amide I region was used to measure changes in protein structure, with the spectra for pH 6.2 samples changing faster than pH 6.8 or pH 7 samples, indicating a higher rate of denaturation. The peak at 1072 cm−1 related to colloidal calcium phosphate (CCP) increased with increasing temperature and pH. More extensive changes in CCP between colloidal and serum phases and protein denaturation/aggregation correlated with lower heat stability in milk. This study highlights the potential of ATR‐FTIR spectroscopy for assessing the heat stability of milk via in situ measurement of changes in protein structure and CCP.

FEATURES OF MANAGEMENT OF OPERATIONAL ACTIVITIES OF RESTAURANT ENTERPRISES

The article reveals the essence of managing the operational activities of a restaurant business enterprise. The functions of production management at the restaurant business enterprise were considered. The condition and evaluation of the operational efficiency of the restaurant enterprise was analyzed. The main indicators characterizing the production capacity of the operating system at the enterprises of the restaurant industry were established. Indicators that increase the efficiency of the use of production facilities and indicators that characterize the organizational and technical level of production are systematized. Production efficiency indicators were formed into general groups. On the basis of the research, it was found that different both foreign and domestic scientists form certain groups of indicators in their scientific research. It has been proven that operational management requires measurement indicators of such factors as: product quality; innovations; costs; speed of processes; flexibility. The main factors affecting the level of satisfaction of the needs of consumers of restaurant products are considered. The directions for improving the features and a comprehensive approach to the effectiveness of management of the operational activities of the restaurant business have been defined and substantiated. On the basis of this study, it was determined that it is appropriate to accept the profitability of the enterprise's operational activity as the largest generalizing indicator of the efficiency of the enterprise's operational activity. The essence of managing the operational activities of a restaurant is to ensure the effective functioning of all aspects of the business related to its daily activities. The main aspects of this management include: processes and operations; product and service quality; HR; financial management; risk and security management; strategic planning and business development. These aspects help to ensure efficient and stable operation of the restaurant, ensuring that customer needs are met, costs are optimized and business goals are achieved.

Pengaruh Kualitas Produk, Keterjangkauan Harga, Online Customer Rating Dan Digital Marketing Terhadap Minat Beli Produk Di Online Shop Shopee (Studi Kasus pada Masyarakat di Desa Bolo)

This study aims to examine the influence of product quality, price affordability, online customer ratings, and digital marketing on purchase intention for products on the Shopee online shopping platform. The research sample consisted of 100 Shopee users in Desa Bolo, Demak Regency, selected using the Slovin formula. Data were collected through questionnaires with a Likert scale. The findings revealed that product quality, price affordability, online customer ratings, and digital marketing positively and significantly influence purchase intention. Based on regression analysis, product quality (β = 0.504), price (β = 0.118), online customer ratings (β = 0.206), and digital marketing (β = 0.281) each significantly impact purchase intention. These findings provide insights for e-commerce companies to enhance these factors in their marketing strategies to attract consumer purchase intentions.

Analisis dan Rancangan di PT Honda

This article describes the analysis and development strategy at PT Astra Honda Motor, one of the leaders of the Indonesian two-wheel industry. This article uses SWOT analysis and Porter's Five Forces model to examine the strengths, weaknesses, opportunities and threats facing the company. PT Astra Honda Motor is known for its product quality and strong brand image, but faces challenges from competitors such as Yamaha. Strategic design includes product differentiation, design innovation, and price adjustments to maintain market share.

ANALISIS STRATEGI PT BUMYANG GLOVE DI YOGYAKARTA DALAM PENINGKATAN DAYA SAING

PT Bumyang Glove Prime was established in 2021, with its main product being golf gloves. The company produces and distributes more than 10 types of gloves, including golf gloves, hiking gloves, riding gloves, and winter gloves. This research aims to analyze the strategies adopted by PT Bumyang Glove in Yogyakarta to enhance the company's competitiveness in the glove industry. The research method used is a qualitative approach with SWOT analysis, considering internal and external factors affecting the company. Data were obtained through interviews, field observations, and analysis of relevant documents. The results show that PT Bumyang Glove has successfully strengthened its position in the market through product diversification strategies, improving production quality, and investing in research and development. The company is also active in expanding its distribution network and forming partnerships with suppliers and potential customers. However, challenges such as intense competition, fluctuations in raw material prices, and changes in product quality standard regulations are also identified.

Design, Synthesis, and Performance of Novel Nano‐CoO/NiO‐loaded and Sulfonation‐Modified ZSM‐5 Composite Catalyst for In Situ Conversion of Oil Shale

ABSTRACTA novel composite catalyst with readily preparation and good catalytic performance was designed and synthesized using sulfonation‐modified zeolite socony mobil‐5 (ZSM‐5) as the carrier and nano‐CoO/NiO as the active components. Compared with traditional in situ conversion, the composite catalyst could effectively reduce the activation energy of catalytic reactions, improve the efficiency of oil and gas conversion, and ameliorate the quality of oil products. When the loading amount of nano‐CoO/NiO was 20 wt% and the silicon/aluminum ratio of ZSM‐5 was 40–50, the required activation energy for oil shale cracking was as low as 43.64 kJ/mol, the yield of oil products was as high as 15.46 wt%, and the content of organic compounds in medium‐/low‐carbon hydrocarbon was as high as 71.50%. The prepared composite catalysts had low preparation cost, environmental friendliness, and significant catalytic effects, providing a feasible approach for the effective exploitation and utilization of oil shale.

Analisis Manajemen Produksi Pertanian Hidroponik Berbasis IoT (Internet of Things) di Wisata Edukasi Arjuna Farm Kecamatan Tamansari Kota Tasikmalaya

The tourism sector in Indonesia is growing rapidly thanks to the abundant natural, social, cultural and regional potential. One educational tourist attraction that is currently developing is Arjuna Farm in Tasikmalaya City, which offers the concept of integrating the agricultural and fisheries sectors with the application of IoT (Internet of Things) technology. This research aims to analyze the application of IoT technology to support hydroponic production management at Arjuna Farm, especially in increasing the effectiveness, efficiency and quality of agricultural products. The research used a case study approach with a qualitative descriptive method, involving direct observation, in-depth interviews with the main managers (Mr. Andi and Mrs. Selvi), as well as analysis of secondary data from various literary sources. The research location was chosen by purposive sampling, located at Jalan Situ Cibereum, Tamanjaya, Tamansari, Tasikmalaya City, during November 2024. The research results show that POAC (Planning, Organizing, Actuating and Controlling) based management is implemented well, supported by IoT systems such as automatic watering, drip irrigation. This technology enables efficient and real-time production management, thereby maintaining the quality and sustainability of harvests, as well as increasing the attractiveness of Arjuna Farm as an educational tourist attraction based on modern technology.

A Comprehensive Review and Future Perspectives of Simulation Approaches in Wire Arc Additive Manufacturing (WAAM)

Abstract Wire arc additive manufacturing (WAAM) has emerged as a promising technique for producing large-scale metal components, favoured by high deposition rates, flexibility and low cost. Despite its potential, the complexity of WAAM processes, which involves intricate thermal dynamics, phase transitions, and metallurgical, mechanical, and chemical interactions, presents considerable challenges in final product qualities. Simulation technologies in WAAM have proven invaluable, providing accurate predictions in key areas such as material properties, defect identification, deposit morphology, and residual stress. These predictions play a critical role in optimizing manufacturing strategies for the final product. This paper provides a comprehensive review of the simulation techniques applied in WAAM, tracing developments from 2013 to 2023. Initially, it analyzes the current challenges faced by simulation methods in three main areas. Subsequently, the review explores the current modelling approaches and the applications of these simulations. Following this, the paper discusses the present state of WAAM simulation, identifying specific issues inherent to WAAM simulation itself. Finally, through a thorough review of existing literature and related analysis, the paper offers future perspectives on potential advancements in WAAM simulation strategies.

Solid Surfaces, Defects and Detection

In the modern industrial field, particularly in steel and automobile manufacturing, detecting defects in steel surfaces is crucial to product quality and safety [...]

A Study on Customer Satisfaction towards Automobile Industry in Pune

The research paper aims to study Customer Satisfaction in the Automobile Industry in Pune. The study seeks to understand the key factors influencing customer satisfaction, such as product quality, sales experience, after-sales services, and overall customer support. It employs a quantitative research approach, using surveys to gather primary data from 135 respondents, mostly existing automobile industry customers. Key findings indicate high satisfaction with the quality and performance of the Automobile Industry. However, some customers raised concerns about the availability of spare parts and service delays. The study also highlights the importance of personalized customer service in improving satisfaction levels. Suggestions include enhancing after-sales service efficiency, improving communication regarding repairs and warranties, and offering customization options to attract a broader customer base. Ultimately, the study concludes that customer satisfaction is a crucial driver for brand loyalty and future growth for the Automobile Industry.