Manufacturing Industry Research Articles

Organic Food Demand Boosts Organic Food Production? Closer Look Into a Bibliometric Analysis of Organic Food Manufacturing Research from the Period 1998 to 2023

Introduction: Given the significance of organic food research in food manufacturing industry, bibliometric analysis within the period of 1998 to 2023 was utilised to provide a review of the body of work published in this area. The framework and central idea of the literature on organic food production in food and beverages industry by using the bibliometric analysis of the literature was further determined. To comprehend the thematic organisation and knowledge of organic food research in food manufacturing industry, the bibliographic coupling and co-citation analysis are carried out. Additionally, research trends and research direction in organic food development in food and beverages industry were fully understand by utilised co-occurrence and confluence analysis. The results of this study has suggested that there are more research are related to organic food demand and consumption which are linked to production of the organic food. Objective: Given the significance of organic food research in food manufacturing industry, bibliometric analysis within the period of 1998 to 2023 was utilised to provide a review of the body of work published in this area. Theoretical Framework: Organic production and terms related to organic food were combined in this study's nomenclature. The keywords linked with each sector had to be used to make sure that this research addressed all aspects of organic food and organic production. Method: The Scopus database, which is the largest biographical database, was used for data extraction and analysis. The research evolution and themes of organic food research in the food manufacturing industry were covered in the study for various time periods. Results and Discussion: The research evolution and themes of organic food research in the food manufacturing industry were covered in the study for various time periods. This study outlined the evolution of organic food research in the food manufacturing industry as well as potential research topics for academics.To further comprehend the research paradigm from high-quality publications, future studies may use bibliometric analysis on SCI, SSCI, and ABDC-listed articles solely. Research Implications: The current study has a number of ramifications for academics, businesspeople, marketers, and scholars. They ought to learn about the general studies that have been done in this field. They can use these papers to address the current issues in academia and business by being aware of the important contributors to this field of research and their motivations for doing so. Originality/Value: By examining many facets of organic food research, researchers have made significant contributions to this field. Studies are primarily focused on consumers’ demand facet, but there are fewer studies on the supply side from food and beverages industry. The first study on organic food development was carried out in 1998, according to the Scopus database. Since its inception till the present, organic food has taken many different forms. As there is no study that specifically focuses on organic food production in food and beverages industry, there is a need to research develop in the field of development of organic food production in food and beverages industry.

Mehranlagenbedienung durch mehr Automatisierung?

Abstract Automation of manual activities in manufacturing can enable personnel to operate multiple machines. This enables companies to maintain production capacities despite increasing staff shortages. However, certain activities on the machines (e. g. eliminating errors) are highly stochastic, meaning that the effects of increased machine operation through automation on production output cannot be easily estimated. Based on a case study in industrial manufacturing, this article illustrates the production process using a digital twin. The article shows the necessity of the digital twin and derives general recommendations for action.

Umsetzungsbeispiele der Software-definierten Produktion

Abstract Traditional automation technologies cannot fully exploit the possibilities of digitalization. Software-defined production represents a way out. Here, the rigid automation pyramid is dissolved and replaced by networked services. This not only makes production in the manufacturing and process industries more flexible and efficient, but also enables, for example, the meaningful use of AI and the exploitation of sustainability potentials. This article uses examples to describe possibilities and potentials of implementing software-defined production.

Prozessüberwachung durch bildverarbeitende KI

Abstract The proceeding automation of industrial manufacturing processes has reduced human presence on modern shop floors. Since industrial processes are still afflicted with malfunctioning, autonomous monitoring solutions are demanded. This article presents a forming use case in which AI-based image recognition is used to monitor process behaviour and prompt stops when needed. The knowledge base utilized by the AI is obtained by examining descriptive examples of abnormal process behaviour.

Geometric analysis and local buckling behavior of wire arc additively manufactured ER110S cruciform section stub columns

The recent prominence and potential of wire arc additive manufacturing (WAAM) in the civil engineering industry have gained significant attention due to its ability to produce complex geometric shapes in a cost-effective and flexible manner. This paper presents the geometric analysis and local buckling behavior of WAAM ER110S cruciform section stub columns. A total of eight specimens with a broad range of width-to-thickness ratios were manufactured. 3D laser-scanning was conducted to capture the geometric characteristics of all the WAAM ER110S cruciform section stub column specimens. Material testing with coupons cut from various orientations of WAAM ER110S plates was performed and this is followed by the stub column testing where digital image correlation (DIC) was employed to monitor the full-field deformations of the specimens. The obtained test data were then employed to assess the applicability of current design rules specified in European, American and Australian standards to WAAM ER110S cruciform section stub columns. The assessment results revealed that (i) the current Class 3 slenderness limits (i.e. slender/non-slender slenderness limits) can be safely used for the classification of outstand plate elements of cruciform sections in compression and (ii) all the three specifications can lead to safe though marginally scattered failure load predictions of WAAM ER110S cruciform section stub columns.

Steam cracking in a semi-industrial dual fluidized bed reactor: Tackling the challenges in thermochemical recycling of plastic waste

Steam cracking is an integral process in the plastic manufacturing industry. Conventional steam crackers are tubular reactors and use fossil-based feedstocks like naphtha and LPG. This work presents steam cracking in a dual fluidized bed (DFB) reactor as an alternative for the direct steam cracking of plastic waste. Experiments were performed on a semi-industrial DFB system using naphtha, clean polyolefins, real-life plastic wastes, and a polyolefin-derived pyrolysis oil. The results show that steam cracking in a DFB is fundamentally equivalent to steam cracking in tubular reactors. Selective production of light olefins and monoaromatics was achieved within a temperature range of 700–825 °C. Naphtha yielded up to 56 % light olefins and 7 % BTXS, with ethylene and BTXS production positively correlating with cracking severity, while C3 and C4 olefins show a negative correlation. These results confirm that the established steam cracking mechanisms also apply to large-scale DFB steam crackers. The yield of light olefins is consistently obtained at approximately 52 % relative to the polyolefin content of the feedstock, regardless of the non-polyolefin content. This highlights the DFB steam cracker’s ability to produce light olefins directly from plastic waste without presorting. However, steam cracking in DFB results in significantly higher CO and CO2 yields than conventional steam cracking, especially with feedstocks containing non-polyolefins like PET and cellulose. Additionally, steam cracking of an olefin-rich pyrolysis oil yields up to 50 % light olefins with minimal coke formation, highlighting the potential in processing plastic waste pyrolysis oils without pretreatment steps such as distillation and hydrotreatment.

The impact of government support and organizational culture on sustainable performance: Unveiling the mediating role of circular economy and eco-innovation

Attaining a sustainable competitive edge and exceptional performance stands as the foremost objective for business organizations. Manufacturing industries frequently encounter challenges that hinder their success, primarily due to well recognized factors such as insufficient resources, limited financial capabilities, and a deficiency in managerial skills. Consequently, they frequently seek out sources that are less risky and more convenient to maintain their competitive edge in the market, ultimately leading to limited growth and innovation. Numerous factors have been examined in relation to improving sustainable performance (SP); however, the influence of government support (GS) and organizational culture (OC) in this context has garnered limited focus. This study explores the impact of GS and OC on the SP of manufacturing industries, with the mediating roles of eco-innovation (EI) and the circular economy (CE). Hypotheses were examined through structural equation modeling utilizing Smart PLS4 software, applied to a dataset comprising 200 manufacturing industries in Pakistan. The findings suggest that while GS does not exert a substantial direct effect on SP, its impact is mediated by EI and CE practices. The OC plays a crucial role in improving SP, impacting it in both direct and indirect ways. It is recommended that governmental entities extend both financial and non-financial assistance to the manufacturing sector, which can subsequently enhance economic growth and sustainability. It is recommended that the government implement mechanisms to evaluate adherence to policies and regulations, ensuring that incentives are effectively promoting sustainable practices to enhance organizational sustainable performance. To enhance sustainability results, organizations ought to prioritize developing a culture that encourages innovation and circular practices.

A two-stage approach for modeling, performance evaluation, and decision support of disassembly processes

ABSTRACT This paper tackles an issue of disassembly lot-sizing within the framework of stochastic batch demand for multi-products featuring a two-level structure. The suggested methodology relies on a batch deterministic and stochastic Petri net as a modeling tool to address such problems in the context of stochastic processes. The primary objective is to determine the optimal sequencing of disassembly for each product type to meet stochastic batch demands of root items across multiple criteria. A novel mathematical model is introduced to minimize the cumulative costs associated with disassembly operations and extra costs, as well as holding costs for diverse products. In a subsequent stage, a decision support tool, namely the preference ranking organization method for enrichment evaluation method, is put forward for prioritizing different scenarios. For assessing the efficiency of the suggested approach, a real case study from the manufacturing industry is simulated. The simulation results prove the suggested approach’s capability to adapt to dynamic demands for leaf items throughout the planning horizon.

Construction of Measurement Indicators for the Integrated Development of Logistics and Manufacturing Industries in China

Construction of Measurement Indicators for the Integrated Development of Logistics and Manufacturing Industries in China

Integrated-decision support system (DSS) for risk identification and mitigation in manufacturing industry for zero-defect manufacturing (ZDM): a state-of-the-art review

Integrated-decision support system (DSS) for risk identification and mitigation in manufacturing industry for zero-defect manufacturing (ZDM): a state-of-the-art review

Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines

Computer numerical control (CNC) and machine center (MCT) machines are mechanical devices that manipulate different tools using computer programming as inputs. Predicting failures in CNC and MCT machines before their actual failure time is crucial to reduce maintenance costs and increase productivity. This study is centered around a novel deep learning-based model using a 1D convolutional neural network (CNN) for early fault detection in MCT machines. We collected sensor-based data from CNC/MCT machines and applied various preprocessing techniques to prepare the dataset. Our experimental results demonstrate that the 1D-CNN model achieves a higher accuracy of 91.57% compared to traditional machine learning classifiers and other deep learning models, including Random Forest (RF) at 89.71%, multi-layer perceptron (MLP) at 87.45%, XGBoost at 89.67%, logistic regression (LR) at 75.93%, support vector machine (SVM) at 75.96%, K-nearest neighbors (KNN) at 82.93%, decision tree at 88.36%, naïve Bayes at 68.31%, long short-term memory (LSTM) at 90.80%, and a hybrid 1D CNN + LSTM model at 88.51%. Moreover, our proposed 1D CNN model outperformed all other mentioned models in precision, recall, and F-1 scores, with 91.87%, 91.57%, and 91.63%, respectively. These findings highlight the efficacy of the 1D CNN model in providing optimal performance with an MCT machine’s dataset, making it particularly suitable for small manufacturing companies seeking to automate early fault detection and classification in CNC and MCT machines. This approach enhances productivity and aids in proactive maintenance and safety measures, demonstrating its potential to revolutionize the manufacturing industry.

NATECH POTENTIAL DUE TO EMERGING CLIMATE HAZARDS AND AWARENESS OF THE LOCAL STAKEHOLDERS IN THE COASTAL INDUSTRIAL SITE OF KUALA SELANGOR, MALAYSIA

Climate change may put more industrial sites at risk of Natech incidents, particularly in coastal areas due to the compounding effects of climate hazards. This study investigates industrial facilities with potential for Natech due to emerging floods and delineates awareness of the exposed stakeholders, using the best available information, to strengthen local level climate change adaptation and disaster resilience in IKS Kuala Selangor, Malaysia. Two major methods were employed, conceptual site modelling using the source-pathway-receptor-consequence approach and semi-structured interviews to get insights from the local stakeholders. Findings reveal that in the worst-case scenario, manufacturing industries are exposed to floods, have limited flood protection and unknown containment and storage measures of hazardous materials within their facilities. While the high concentration of total metals in the surrounding topsoil has not been linked directly to the manufacturing industries, they have potential for Natech in future flood events. An area with environmentally available lead and arsenic accumulation linked to agricultural activities is also a potential point source for pollution during flood events in the worst-case scenario. Although most of the exposed local stakeholders are aware of climate hazards, they are not prepared for the risks of Natech. The local adaptation plan should include awareness building on Natech targeting the exposed local stakeholders as well as adequate flood protection and updated guidance on managing the safety of hazardous materials at manufacturing industry facilities.

Innovative Marketing Strategies in the Competitive Economic Environment in Sustainable Development Goals (SDGs): A Case Study of Top Glove Manufacturers in Malaysia

Objective: The aim is to identify the key marketing strategies implemented by the manufacturers to achieve growth and sustainable development goals (SDGs) market leadership by glove-producing companies in Malaysia in the highly competitive global marketplace. Theoretical Framework: This paper contributes to the existing literature on the marketing strategies practiced in the manufacturing industries, mainly focusing on the glove manufacturing industry in Malaysia, which ranks as the global supplier of hand gloves in the industrial and medical categories. Taken in total, this work provides a refined appreciation of marketing and innovation’s relationship within a particular sector, and it does so by examining how those Malaysian glove makers who contest global markets leverage creativity in their marketing strategies in response to supply chain interruptions, approving bodies, and shifts in international buying trends. Methodology: Following a case study approach, this study focuses on large glove manufacturers in Malaysia; Top Glove is a crucial player. Hence, secondary sources will be adopted during the data collection stage. Perceptual data is also gathered from workers of key executives, marketing managers, and other industry professionals, which gives a picture of these business entities' marketing campaigns and strategic decision-making procedures. Industry journals, company reports, and market study papers validate secondary data. Results and Discussion: This study reveals that policymakers, manufacturing businesses, and marketing scholars can learn about the necessity of niche-based policies and friendly legal environments to boost innovation and competitiveness within manufacturing industries. It provides recommendations on creating a favorable climate for employing innovative marketing strategies and the possible enlargement of home-based businesses internationally. Originality/Value: Based on the findings and insights gathered from the research on innovative marketing strategies in the competitive global economic environment, particularly focusing on the case study of top glove manufacturers in Malaysia, several recommendations can be proposed to guide businesses in enhancing their marketing approaches and organizational performance

Approximating technology innovation performance with fuzzy approach

Purpose This study aims to construct a framework to evaluate technology innovation performance (TIP) of manufacturing organizations by adopting a fuzzy-based approach. In very short time, the world’s economic order has been reformed by economic globalization, thereby bringing new challenges as well as opportunities for the manufacturing industries. Policy makers encounter different decisions that require the use of various types of data in their decision-making process. These challenges raised the necessity of measuring innovation capability, which is critical issue for decision makers in today’s competitive world. The research results reveal the complexity of the path to technology innovation evaluation, constituting a novel contribution to the literature. Design/methodology/approach It is difficult for decision makers to make appropriate and effective decisions without knowing the innovation capability of companies in a particular sector or a region. As a result, not only on a macro but also on a micro level, an integrated and complete technique of measuring, estimating and even projecting innovation performance is necessary. In light of above mentioned facts, the present study proposes a technology innovation performance evaluation system of manufacturing organizations using fuzzy logic. Findings A model has been developed to be beneficial for any kind of organization where TIP evaluation is important consideration for enhancing manufacturing performance. Fuzzy control is used to determine the overall performance index by combining results of the TIP in selected criteria, which will certainly ensure suitability of the concerned organizations during performance rating calculations. Originality/value This study elaborates a fuzzy model to predict TIP with fuzzy rules. This is the first time a TIP evaluation model is developed using fuzzy approach that will be applicable for any kind of manufacturing industry where TIP evaluation is considered to be significantly important for cooperation’s to sustain competitiveness in the dynamic landscape.

How Green Transformational Leadership and Green Entrepreneurial Orientation Contribute to Firm Sustainable Performance: The Role of Green Innovation and Environmental Concerns

The prime aim of the quantitative study is to explore the impact of green transformational leadership and green entrepreneurship orientation on firm sustainable performance within the manufacturing sector of Saudi Arabia. In addition, the current research also examined the moderating effect of environmental concerns and the mediating impact of green innovation. For analysis, the current study adopted PLS-EM. From the findings, green transformational leadership and green entrepreneurship orientation significantly impact green innovation, leading to a sustainable firm's performance in the Saudi Arabia manufacturing industry. The same is statistically significant in enlightening the firm's sustainable performance. Green innovation has played a substantial role in mediating the impact of the correlation among transformational leadership and green entrepreneurship on firm sustainable performance. The present research further extends evidence showing that environmental concern has significantly moderated the relationship among green entrepreneurship orientation, green transformational leadership and firm sustainable performance. The findings provide implications for progress in the sustainable performance of manufacturing firms, specifically in Saudi Arabia. Hence, the emerging green transformational leadership and entrepreneurial orientation are integrating environmental concerns in firm governance and establishing promising strategies to enhance the manufacturing industry's sustainable performance in Saudi Arabia.

Empathising and Defining the Strategy Development Process Adoption of Industrial 4.0 in SMEs

The advent of Industry 4.0 has become an integral part of the manufacturing industry, playing a crucialrole in boosting competitiveness and enhancing productivity within companies. Small and MediumEnterprises (SMEs), which contribute significantly to the national economy, must inevitably embracethe adoption of Industry 4.0 technology. However, the implementation of this technology at the SMEfaces numerous obstacles. To address these challenges and facilitate the transformation to Industry4.0 in SMEs, this research aims to construct a comprehensive adoption strategy. Currently in itspreliminary stage, the strategy development process primarily involves identifying stakeholders, theirneeds, and the goals they aim to achieve. Design thinking, specifically the empathize and define phase,is employed as the methodological approach. The information utilized in this study originates fromsystematic literature reviews conducted using PRISMA. The analysis of the gathered data hasidentified several stakeholders, including government entities, IT experts, management personnel, andemployees. However, for the purpose of creating user personas, the focus is narrowed down tomanagement and employees. User personas are instrumental in understanding the goals and potentialobstacles faced by these individuals. The culmination of this stage is the formulation of a problemstatement, which will be further refined in subsequent phases of the design thinking process.

Optimizing Motorcycle Manufacturing Sustainability through the Integration of Waste Heat Recovery and Metal Scrap Recycling: A Process Engineering Approach

The automotive industry manufacturing has experienced rapid growth 2–3 times by 2050, with motorcycles constituting around 30% of vehicles worldwide, but this increase in production has significantly heightened the demand for raw materials and energy. A major challenge arises in managing material waste and waste heat generated during the manufacturing process. This research aims to develop a framework that optimizes the synergy between material waste recycling and waste heat recovery to enhance the sustainability of the motorcycle industry, reduce waste, and lower energy consumption. The design leverages waste heat from the melting process to preheat raw materials, raising temperatures from around 50 °C to 350 °C before melting, thereby reducing additional energy needs, lowering emissions, and decreasing operational costs. Utilizing waste heat for preheating not only mitigates environmental impact and thermal load but also significantly improves energy efficiency, ultimately resulting in cost savings and optimized resource use. Utilizing waste heat directly for preheating raw materials has effectively lowered energy consumption by as much as 30%. This approach not only improves operational efficiency but also decreases production costs and minimizes environmental impact, offering a more sustainable solution for the manufacturing sector.

Assessing Carbon Dioxide Emissions in Manufacturing Industries: A Systematic Review

Emissions of pollutants and their consequences for the atmosphere have received special attention from international organizations in recent years due to the climate crisis predicted in the next decades. In this regard, the Carbon Dioxide (CO2) produced in industrial sectors is one of the most concerning compounds because of its impact on global warming and climate change. This study developed a systematic review of Carbon Dioxide Emissions from manufacturing industries considering one decade of research documents focused on addressing this problem. For this, different assessments such as the trend of published articles, top-cited studies, the network evaluation of journals, and keywords network evaluation were conducted. After a careful data-driven analysis, research trends were identified. Findings revealed the increased urgency of finding and assessing information regarding the climate crisis due to CO2 emissions as well as revealing which main sectors and research areas have been involved in its investigation. Furthermore, the most influential contributions and clusters of words obtained demonstrate interrelationships among research trends that are focused on finding new paths to generate more sustainable processes in every manufacturing industry. This study aims to generate valuable insights into the role played by manufacturing industries in the context of the environmental situation, revealing trends and key points among the scientific community.

Improvement of Productivity by Using Means of Lean Manufacturing, Just in Time, and Production Technology in Thai SMEs Manufacturing Industry

This study investigated the current situations, opportunities, and obstacles in manufacturing industry, and to create a model for improving the efficiency while reducing the levels of inventory. This study gathered information from in-depth interview using snowball sampling from 20 manufacturing companies in Thailand. The results revealed that the organization has implemented lean production principles as a strategic initiative to mitigate losses. The implementation of comprehensive work manuals, offered in diverse languages such as Thai, Burmese, Japanese, and English, serves as an additional mechanism to mitigate losses by ensuring clarity and understanding among the workforce. Furthermore, the integration of modern technologies, encompassing machine technology, robotics and artificial intelligence, is actively pursued to streamline production processes and consequently reduce losses. The results presented that companies refrain from adopting Just-In-Time production systems due to operational challenges associated with fulfilling customer orders. Specifically, frequent machine shutdowns for adjustments are necessitated, leading to elevated unit costs. Manufacturing companies in Thailand continue to harbor potential for growth, despite the inevitable rise in employee wages leading to increased operational costs. To navigate this challenging landscape, companies must remain adaptive, responding not only to shifts in customer preferences but also to advancements in technology, proactive examination of customer needs prior to initiating the production process, a paradigm shift from low-cost production to the premium-grade products addresses the demands of customers seeking superior product quality, and the process of broadening customer bases both overseas and globally, and the analysis of distinct customer groups in identifying new target demographics.

Low-Temperature Sintering of Colloidal Gold Nanoparticles by Salt Addition

AbstractGold nanoparticles synthetized by pulsed laser ablation in liquid with a mean diameter of 4 nm were joined together by adding potassium bromide solution at various concentrations. By increasing the salt concentration, there is a significant increase of the particle size up to a mean diameter of 18 nm. We have studied the nanoparticle merging by using atomic force and electron microscopy characterizations, also demonstrating that it is possible to deposit sintered nanoparticles on silanized substrates in a fast, simple, cost-effective, energy-saving method with relevance in industrial manufacturing.