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The purpose of this paper is to investigate the relationship between total productive maintenance (TPM) practices and operational performance (OP) in soft drinks manufacturing industry, Ethiopia.

In this study acceptability and implementation of five TPM practices (i.e., dependent factors: autonomous maintenance (AUT); safety, health and environment (SHE); education and training (EDT); focused improvement; and planned maintenance (PLM)) in soft drinks manufacturing industry have been elaborated to ascertain the benefits accrued as a result of successful TPM practices (i.e., independent variables) on OP (i.e., dependent variables). A self-administered survey seven-point Likert scale questionnaire was used for primary data collection. By using simple random sampling technique a total of 100 useable responses resulted in a 66.66 per cent response rate. Descriptive (mean, standard deviation) and inferential statistics (factor analysis, correlation, simple and multiple regression analysis) analysis were performed using Statistical Package for Social Sciences (SPSS) software (version-28) to identify the relationship and effect of TPM practices on OP. Five hypotheses were developed and tested.

Results show that four of the TPM practices were positively and significantly correlated with OP. Aggregate TPM shows positive and significant correlation with OP. Four hypotheses results revealed that the AUT; SHE; EDT and PLM practices have positive and significant relationship with OP and significantly improve OP. The results also show that the TPM practices have positive and significant relationship with OP and significantly improve cost effectiveness, product quality, on-time delivery and volume flexibility.

The benefits gained by TPM practices in selected soft drinks manufacturing industry have been highlighted, that could be genuine source of motivation to other companies to go in for TPM program. This research contributes to the literature by examining the contingency of various TPM enabling factors in the context of the Ethiopian soft drinks manufacturing sector, and it, therefore, provides direction to increase the success rate of TPM implementation. Study offers academics and practitioners a better understanding of the relationship and effect of the TPM practices on the OPs. Thus, practitioners will be able to make better and more effective decisions about the implementation of TPM practices for better OP results.

The relationship between the five factors TPM practices and OP has not yet been studied or reported in the case of soft drink manufacturing industry. The questionnaire manner and items developed, factor considered in this study, sampling method, deeply statistical data analysis techniques used, soft drink manufacturing industry, developing country like Ethiopia make this study unique and revealed the gap identification in this area. The study has contributed to the TPM literature with a better understanding of the five TPM practices and their association with a soft drink manufacturing industry OP that will provide valuable knowledge to top-management of manufacturing companies, to refine their current TPM practices and subsequently improve OP.

The purpose of this study is to explore the total quality management (TQM) practices and identify their effect on the nonfinancial performance (NFP) in the automotive engineering industry in Ethiopia. Despite many studies investigating the relationship between TQM practices and NFP, rare research has been conducted on TQM in automotive industries, making this a hugely unexplored field.

The data underlying this study was collected using more than 500 self-administered questionnaire survey, distributed to the employees working under different departments and factories under one automotive engineering industry. Extensive data screening and refinement processes for discarding irrelevant items for the questionnaire (Likert five-point scale) were carried out. The data was employed to test the proposed theoretical model, established with the objective of assessing the effect of TQM practices on the NFP in the case industry. Empirical validated relations have been proofed for previously done researches that there were positive relations between the TQM practices and NFP. Different statistical tools applied include descriptive data analysis, correlation analysis, mean scale test, reliability analysis and factor analysis, and finally, two models were developed based on structural equation modeling by using SPSS and AMOS-26 software.

Results found in this study were quite surprising. Initially, there was a total of ten TQM factors. The six independent factors survived from factor analysis only two factors (employee involvement and innovation) were contributing to the NFP. The study was acted as a performance evaluation system to track the industry NFP. Although the study focused on the effect of TQM practices, for more results it is recommended to conduct a 360-degree further research study to reveal the weaknesses, strengths, opportunities and challenges of the case industry performance.

Every research has its own limitations. The way the analysis is conducted in this study ensures that the limitations do not compromise the validity of the results obtained. Control variables (industry type, size, age, process type and technology used) are not considered in the research which may affect the results obtained. The study included the automobile industry alone, so the obtained results cannot be generalized to other industries.

The positive relationship between the TQM practices and NFP measures indicates the importance of each of these practices in improving the industry. Researchers/managers/practitioners can use this developed model periodically to understand where the industry stands in the quality management journey. They can also analyze the effect of TQM practices on financial as well as operational performance measures. The research findings can also motivate the top management of the industry for better planning of goals, to arrange resources in time, in pursuit of improving quality, employee and industry performance.

The Ethiopian manufacturing industry is required to improve their manufacturing and service quality, in order to enhance their productivity and boost their competitiveness in an international market, which is the basis of this study. This study signifies one of the first attempts to empirically explore this linkage between TQM and performance in the Ethiopian automotive industry context.

Evaluates changes in the welfare system in Sweden, the UK and the USA over a decade, basing arguments on the divergence of economic globalization and domestic forces. Presents brief economic snapshots of each country, stating quite categorically that the welfare state is an impediment to capitalist profit‐making, hence all three nations have retrenched welfare systems in the hope of remaining globally economically competitive. Lays the responsibility for retrenchment firmly at the door of conservative political parties. Takes into account public opinion, national institutional structures, multiculturalism and class issues. Explores domestic structures of accumulation (DSA) and refers to changes in the international economy, particularly the Bretton Woods system (Pax Americana), and notes how the economic health of nations mirrors that of the US. Investigates the roles of multinationals and direct foreign investment in the global economy, returning to how economic policy affects the welfare state. Points out the changes made to the welfare state through privatization, decentralization and modification of public sector financing. Concludes that the main result has been an increase in earnings inequality and poverty.

Additive manufacturing (AM) processes involve a layer-by-layer sintering of metallic powders to produce fully functional three-dimensional parts. This layer-by-layer building process provides a unique opportunity to enhance mechanical properties by applying treatments that previously were possible only on the surface in traditional manufacturing techniques. The purpose of the study is to examine the effect of ultrasonic peening (UP) applied during a layer-by-layer direct metal laser sintering (DMLS) fabrication of 316L stainless steel on its mechanical properties and microstructure.

Uniaxial tensile tests were performed at 1.27 mm/s to determine the effect of UP treatment on the average global behavior of a 316L part, whereas hardness measurements using nanoindentation were performed to determine the modification of local mechanical properties. Compressive buckling tests at a loading rate of 3 mm/min were performed on sample coupons with a large aspect ratio to evaluate the effect of UP on any potential delamination of DMLS layers. Techniques such as optical and scanning electron microscopy (SEM) imaging were utilized to determine the effect of UP on the microstructure.

Overall, significant modification in mechanical properties such as hardness and yield strength, along with microstructure, was observed. Large increases in both the average global and local mechanical properties, as well as a disruption in the columnar grain microstructure, was observed in DMLS parts treated with UP treatment.

Results indicate an opportunity for UP to be used as an in-situ process during AM processes for dynamically altering the mechanical behavior, microstructure, and distortion due to residual stress formation, in a tunable fashion.

It was December 13, 2010. The Government of Uttar Pradesh announced their plan to urbanize the entire area along the Yamuna Expressway (YE) in order to prevent haphazard growth of urban sprawls on the flanks of the YE. The YE was conceived in 1997 as a dream project of Ms Mayawati, the then Chief Minister of Uttar Pradesh, with the idea of reducing the travel time between Delhi (and the larger National Capital Region) and Agra. It was a 165 km long expressway and was proposed to run from Greater Noida to Agra via Mathura. Amidst issues concerning land acquisition, and various protests and litigations, the deadline for completion of the project had extended beyond its original completion date of February 8, 2010 to April 2013. Meanwhile, the project cost had escalated from Rs 2500 crore (cr) in the year 2000 to about Rs 10,000 cr as of December 2010. By then, about 80% work on the expressway had been completed. The project was finally expected to be completed around April 2011. This was, however, subject to the pending court judgements and mitigation of risks as perceived by Jaypee Infratech, the concessionaire of the project.

The purpose of this paper is to review the advanced technologies and approaches for utilization of waste generated in dairy industry. Whey is highly contaminated, with a high organic load around 100,000 mg O₂/L COD (chemical oxygen demand), and is not used for further processing. The waste generated in different food industries can be utilized in different value addition product with the help of advanced technology.

Major well-known bibliometric information sources are the Web of Science, Scopus, Mendeley and Google Scholar. Several keywords like nutrition value of whey, whey utilization, whey valorization, whey technologies, whey beverages, fruit-based whey beverage, carbonated beverage, probiotic or alcoholic beverages, herbal beverage, fermented beverage and current scenarios were chosen to obtain a large range of papers to be analyzed. A final inventory of 126 scientific sources was made after sorting and classifying them according to different criteria based on topic, academic field country of origin and year of publication.

The comprehensive review of different literature, data sources and research papers seeks to find and discuss various sustainable solutions to this huge waste generated from milk industry. The sustainable use of whey for production and conversion in different types of products can uplift the bio-based economy of industries and thereof national/international economy. The recent upsurge in consumer interest for health-promoting products has opened up new vistas for whey beverages and other whey products research and development.

The paper draws out different sustainable characteristics and technology of whey products available in market, as well as potential products to be launched in the market. Interestingly, over the past few years, dairy industries have applied various technologies to process cheese whey and are in search of new products which can be prepared from the by-product. This review discusses on the recent research development of whey valorization with particular reference to technologies used in the addition to their commercial availability and a way forward.

This study aims to assess the household food insecurity in Malaysia during the initial phase of the movement control order (MCO) to provide insights into the prevalence and predictors of food insecurity in this context.

The research used an online cross-sectional survey between March 28 and April 28, 2020. The study collected data from the Radimer/Cornell Hunger Scale and a food insecurity instrument. Analytical tools included chi-square and logistic regression models.

Of the 411 participating households, 54.3% were food-secure, while 45.7% experienced varying food insecurity. Among these, 29.9% reported mild hunger-associated food insecurity, 8.5% experienced individual food insecurity and 7.3% reported child hunger. The study identified predictors for food insecurity, including household income, as those with total income of < RM 2,300 had 13 times greater odds (odds ratio [OR] 13.8; confidence interval [CI] 5.9–32.1; p < 0.001) than those with income of RM 5,600, marital status as divorced (OR 4.4; 95% CI 1.0–19.9; p-value = 0.05) or married (OR 1.04; 95% CI 0.52–2.1) compared to those who are single. Self-employed respondents had three times greater odds of living in a household experiencing food insecurity (OR 3.58; 95% CI 1.6–7.7; p-value = 0.001) than those in the private sector (OR 1.48; 95% CI 0.85–2.61) or experiencing job loss (OR 1.39; 95% CI 0.62–3.1) compared with those who reported being in full-time government employment.

This study acknowledged limitations, such as not considering various dimensions of food insecurity, such as coping strategies, nutritional support, diet quality and well-being, due to the complexity of the issue.

The study underscores the importance of targeted support for vulnerable groups and fostering collaborative efforts to address household food insecurity during crises like the MCOs.

The research offers insights into how to address household food insecurity and its impact on society.

It identifies predictors, quantifies increased odds and emphasizes the necessity of targeted policies and collaborative approaches for fostering resilient recovery and promoting well-being in vulnerable populations.

The textile industry contributes 2 and 3% to the global and Indian Gross Domestic Product (GDP), respectively. India supplies a quarter of global cotton yarn. Yet, most yarn manufacturing companies use outdated methods and lack organisational skills and strategies. Improvement in processes in India could significantly help the industry worldwide.

The variables that influence the performance of the system were identified. Their interrelationships and impact were identified from the employees in the chosen case study, a yarn manufacturing industry. A System Dynamics (SD) approach was employed to study the benefits of implementing 5S lean strategies. The impact of each variable on various performance measures such as throughput, Work In Progress, processing time, waiting time, idle time, over-processing and scraps was analysed.

Improvement in outcomes reflected an enhanced adoption of leanness in the industry. The decision-makers can utilise this study to optimise the necessary parameters in the system and attain the desired productivity levels. Better resource management and reduced processing time helped increase the despatch rate by 9.735% and decrease the WIP by 23.01%. Time management helped to reduce the inventory, idle time and waiting time. Over-processing, defects and scraps were minimised, indicating a shift towards lean.

This study pioneers the use of SD simulation models for optimising yarn manufacturing using lean strategies. Improvement in performance measures by integrating these strategies opens avenues for future research using multiple approaches to address a problem.

Implementing 5S lean principles and simulations enhances productivity, reduces waste and optimises resource management for the yarn manufacturing industry. Decision-makers can employ simulation to witness the outcomes of their changes without investing cost and time and without associated implementation risks.

The use of a simulation model to witness the benefits of incorporating lean strategies in yarn production has not been explored. This approach could help the managers and policymakers understand their existing system's shortcomings and critical areas that require improvement.