Article
Operations Research & Management Science
Girish Santosh Bagale, Venkata Ramana Vandadi, Deepmala Singh, Dilip Kumar Sharma, Durga Venkata Kusuma Garlapati, Ravi Kumar Bommisetti, Ravi Kumar Gupta, Roy Setsiawan, V Subramaniyaswamy, Sudhakar Sengan
Summary: Researchers emphasize the significance of digitization in improving efficiency and productivity in Small and Medium Enterprises (SME). The advent of digital technology has led to a significant increase in the number of SMEs, with both product and process becoming more automated, resulting in improved quality and demand. India's SME sector has great potential for integrating new digital technologies.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Siravat Teerasoponpong, Apichat Sopadang
Summary: In recent years, changes in data-driven supply chain management have been driven by elevated business uncertainties and competition, with large-sized enterprises utilizing data for decision-making while SMEs struggle due to limited resources and knowledge. A proposed decision support system aims to assist SMEs in compiling and exploiting data, aiding decision-making under business ambiguities. The system uses a simulation-optimization approach incorporating artificial neural networks and genetic algorithms to reduce costs and improve inventory management policies, achieving significant cost reductions when implemented in a medium-sized food industry company.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Business
Rebekka Kuechler, Birte Maja Nicolai, Christian Herzig
Summary: This paper highlights the important aspects and credibility conditions for a sustainability management tool for food manufacturing SMEs. It suggests taking a holistic view of sustainability dimensions and provides a foundation for the development of such a tool.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Jayesh D. Patel, Raju Shah, Rohit H. Trivedi
Summary: Energy management practices have a positive impact on the environmental and financial performance of manufacturing firms. Energy efficiency and energy audit play mediating roles in this process, and top management commitment moderates the relationship.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Operations Research & Management Science
Stella Despoudi, Uthayasankar Sivarajah, Konstantina Spanaki, Vincent Charles, Vel Kandhan Durai
Summary: This study explores the potential of implementing the circular economy model using Industry 4.0 technology in fruit and vegetable SMEs in India, as well as the specific enablers and barriers that SMEs need to consider to develop the resources and capabilities for CE competitive advantage. The findings suggest that Industry 4.0 plays a key role in implementing CE in SMEs in emerging economies such as India.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Ivan Litvaj, Mario Drbul, Miloslav Buzek
Summary: In this paper, we focus on the topics of sustainability and product quality. We identified, analyzed, and evaluated past research in the field of sustainability in the Slovak Republic and in small- and medium-sized Slovak enterprises based on two hypotheses. Additionally, we emphasize the importance of quality management in providing high-quality products that meet customer requirements.
Article
Green & Sustainable Science & Technology
Anze Mihelic, Simon Vrhovec, Tomaz Hovelja
Summary: Although agile methods are widely used, developing secure software remains a challenge. This paper aims to provide small and medium-sized enterprises (SMEs) with means to improve the sustainability of their software development process in terms of security. However, there is a research gap regarding the contribution of individual security elements to software security and their impact on agility and costs. To address this gap, a study was conducted to evaluate security elements found in the literature and develop a lightweight approach for evaluating agile methods from a security perspective, which can help SMEs adapt their software development process to their needs.
Article
Mathematics, Interdisciplinary Applications
Ling Zhang, Bahjat Fakieh, Li Shang
Summary: The paper optimizes the financial management methods of SMEs and explores asset-liability ratio's theories. The study investigates a medium-sized manufacturing enterprise's financial conditions and the factors influencing its asset-liability ratio using a dynamic model and nonlinear simulation model. The findings indicate variations in asset-liability ratios across different industries, with real estate having the highest ratio and cultural communication industry having the lowest. Additionally, the study shows that capital injection has a significant impact on the asset-liability ratio.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Chemistry, Multidisciplinary
Alim Yasin, Toh Yen Pang, Chi-Tsun Cheng, Miro Miletic
Summary: In the last decade, Australian SMEs have been increasingly digitally engaged, but face challenges in fully adopting Industry 4.0. Digital twin and digital thread technologies are of significant interest and value. This article demonstrates the feasibility of digital twin implementation for SMEs through a framework based on simple and low-cost solutions, providing insight and guidance on overcoming technological barriers.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Oluwaseun Niyi Anifowose, Matina Ghasemi, Banji Rildwan Olaleye
Summary: This study investigates the mediating role of innovation speed in the relationship between total quality management and small and medium-sized enterprise performance, finding that innovation speed has a substantial influence on this relationship. Furthermore, the study expands the understanding of innovation and presents the five basic dimensions of total quality management.
Article
Business
Chuanpeng Yu, Yue Wang, Tianchen Li, Chunpei Lin
Summary: This paper examines how the influences of top management teams (TMTs) impact the adoption of management innovation (MI) at the employee level in small and medium-sized enterprises (SMEs). It highlights the role of TMT expectations and support in shaping employee knowledge sharing (EKS) and ultimately driving the adoption of MI in SMEs. Empirical data from China supports the conceptual model proposed in the paper.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Mathematics, Interdisciplinary Applications
Wuyang Zhuo, Yuning Xiong, Xiaorong Zhou
Summary: This study analyzes the financial management and influencing factors of small and medium-sized enterprises (SMEs) in China and explores the nonlinear relationship in enterprises' financial market structure. The research findings suggest significant differences in financial market structure between different regions.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Johan Krisnanto Runtuk, Poh Kiat Ng, Shih Yin Ooi, Remigius Purwanto, Arief Suardi Nur Chairat, Yu Jin Ng
Summary: This study aims to construct an interaction model for all enablers that promote sustainable SME growth. The results show that both internal and external enablers are crucial for SME growth. The study also provides a guide for formulating strategies for SME sustainability.
Article
Engineering, Industrial
Prasanta Kumar Dey, Soumyadeb Chowdhury, Amelie Abadie, Emilia Vann Yaroson, Sobhan Sarkar
Summary: This study explores the impact of organizational behavioral mechanisms at the human-technology interface on the adoption of artificial intelligence (AI) in small and medium-sized enterprises (SMEs), and the subsequent influence of AI adoption on sustainable practices and supply chain resilience. The results show that leadership plays a key role in driving AI adoption by creating a data-driven, digital culture and enhancing employee skills. AI adoption positively affects sustainable practices, supply chain agility, and risk management.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Anuj Mittal, Amy A. Marusak, Caroline C. Krejci, Narjes Sadeghiamirshahidi, K. Jamie Rogers
Summary: Crowd-shipping platforms have the potential to serve as low-cost logistics solutions for SMEs, but most existing platforms are unlikely to meet their needs, highlighting the importance of customization and improvement.
Article
Operations Research & Management Science
Vaibhav S. Narwane, Rakesh D. Raut, Sachin Kumar Mangla, Manoj Dora, Balkrishna E. Narkhede
Summary: Supply chains are vulnerable to risks due to their complexity. Big data analytics through blockchain technology can greatly help in managing supply chain risks. This study identifies the risk factors of the BDA-BCT initiative for Indian manufacturing organizations and analyzes their interrelations. The results provide guidance for managers, suppliers, and policymakers in the widespread adoption of BDA-BCT in manufacturing organizations.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Business
Wan Ri Ho, Naoum Tsolakis, Tom Dawes, Manoj Dora, Mukesh Kumar
Summary: Digitalization has led to rapid changes in operations, calling for quick decision-making in end-to-end supply chains. However, strategy formulation approaches in manufacturing supply chains are limited. This article presents a new framework for digital supply chain strategy development through a case study approach.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Industrial
Yigit Kazancoglu, Yesim Deniz Ozkan-Ozen, Muhittin Sagnak, Ipek Kazancoglu, Manoj Dora
Summary: This study investigates the potential risks of transitioning from a linear to a circular economy and proposes Industry 4.0-based responses to mitigate these risks in a sustainable supply chain context. The findings highlight the importance of integrated business processes, modular processes, and continuous monitoring of the supply chain through big data and analytics as key Industry 4.0-based responses.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Operations Research & Management Science
Naoum Tsolakis, Roman Schumacher, Manoj Dora, Mukesh Kumar
Summary: This research explores the joint implementation of Artificial Intelligence (AI) and Blockchain Technology (BCT) in supply chains for extending operations performance boundaries and fostering sustainable development and data monetisation. Through an empirical study on the tuna fish supply chain, the study identifies the central role of AI and BCT in digital supply chain management and proposes a framework for handling key data elements.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Information Science & Library Science
Guilherme Tortorella, Paulo A. Cauchick Miguel, Enzo Frazzon, Alberto Portioli-Staudacher, Maneesh Kumar
Summary: This paper explores the expectations, drivers, and barriers for teaching and learning in Industry 4.0, and examines their contribution to knowledge management. The study found that these factors are interrelated and impact multiple knowledge management activities. The results suggest the need for further research and raise awareness among instructors and lecturers.
KNOWLEDGE MANAGEMENT RESEARCH & PRACTICE
(2023)
Article
Operations Research & Management Science
Gorkem Sariyer, Mustafa Gokalp Ataman, Sachin Kumar Mangla, Yigit Kazancoglu, Manoj Dora
Summary: Grounded in dynamic capabilities, this study aims to model sustainable operations in emergency departments (EDs) during the COVID-19 pandemic using big data analytics (BDA) technologies. It investigates the impact of policies on ED operations and proposes an efficient model for managing operations in dynamically changing environments.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Management
Behzad Hezarkhani, Guven Demirel, Yann Bouchery, Manoj Dora
Summary: The tradition of marketing aesthetically agreeable produce contributes to food loss through ugly veg. This paper examines the impact of marketing ugly veg on different supply chain members and the overall food loss. Different supply chain designs are compared and analyzed, and the conditions for reducing food loss are identified. The study shows that selling ugly veg through an auxiliary retailer can be beneficial in reducing food loss.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Industrial
Alexandre Luis Prim, Kenyth Alves de Freitas, Ely Laureano Paiva, Maneesh Kumar
Summary: SMEs rely more on external partners to access resources for developing their quality capabilities due to limited internal resources. This study explores how firms of different sizes and internal resource characteristics interact with the external environment to develop their quality capabilities. The findings suggest that internal resources play an important role in determining firms' co-evolutionary paths for developing quality capabilities. Large firms primarily rely on internal development, while SMEs actively engage with the environment, which affects their co-evolutionary paths. This study also provides guidance for managers to implement strategies for developing quality capabilities.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Industrial
Fatemeh Monshizadeh, Mohammad Reza Sadeghi Moghadam, Taha Mansouri, Maneesh Kumar
Summary: This paper proposes an Industry 4.0 readiness model based on fuzzy cognitive maps, which is validated through literature reviews and questionnaires on readiness requirements. With this model and the fuzzy cognitive map method, relevant concepts can be identified, and complex cause-effect relationships can be predicted to increase readiness degree.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Review
Environmental Sciences
Abey Jose, Guilherme L. L. Tortorella, Roberto Vassolo, Maneesh Kumar, Alejandro F. F. Mac Cawley
Summary: This study aims to analyze the competence requirements for adopting Healthcare 4.0 technologies. The results show that technical competence and the skills for Internet of Things (IoT) applications are prominent contributors to the literature, while the competence requirements for handling processing and actuation technologies are not prevalent.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2023)
Article
Engineering, Industrial
Guilherme Tortorella, Flavio S. Fogliatto, Maneesh Kumar, Vicente Gonzalez, Matthew Pepper
Summary: The findings indicate that I4.0 moderates the relationship between ST practices and performance, to an extent and direction that varied according to the focus of the technologies and practices adopted.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Vishal Gupta, Rony Mitra, Frank Koenig, Maneesh Kumar, Manoj Kumar Tiwari
Summary: This article explores the maintenance of airports' baggage handling systems and examines the use of predictive maintenance as an alternative to periodic maintenance. The unique challenges faced by baggage handling systems, such as random noise from IoT sensors and complex interconnected components, are discussed. The article proposes a scalable and cost-effective maintenance 4.0 solution using real-time sensor data. An algorithm is presented to differentiate between anomaly detection and outlier detection and remove irrelevant data. Integrated machine learning techniques are employed to detect and diagnose defects early on. The article also compares the performance of different machine learning algorithms and suggests future research directions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Tyson Browning, Maneesh Kumar, Nada Sanders, ManMohan S. Sodhi, Matthias Thuerer, Guilherme L. Tortorella
Summary: This study proposes an approach to rebuilding supply chains for resilience against systemwide disruptions. The authors focus on innovation in forecasting, supply chain risk management, and product design to enhance supply chain resilience. The study finds that all three areas have evolved in response to the challenges caused by the pandemic, including the shift from statistical forecasting to human-augmented forecasting with visual analytics, the transition from enterprise to supply chain risk management, and the shift from design-for-manufacturability to design-for-adaptability. These approaches must work together to build a resilient supply chain.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2023)
Article
Management
Desiree H. van Dun, Maneesh Kumar
Summary: This study explores how managers influence employees' acceptance of Industry 4.0 technology adoption. It suggests that a transformational leadership style and emotional intelligence are key factors in promoting employee acceptance and use of Industry 4.0 technologies.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2023)
Article
Management
Timothy I. I. Ramjaun, Madeleine Pullman, Maneesh Kumar, Vasco Sanchez Rodrigues
Summary: This article investigates the use of collaborative procurement as a sourcing strategy for small enterprises to reduce material supply costs. The study focuses on the craft brewing industry and examines the viability and benefits/limitations of joint procurement activities. The research findings highlight the challenges faced by small businesses in implementing collaborative procurement and its impact on the economic benefits.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2023)
Article
Food Science & Technology
Ewelina Bigoraj, Iwona Kozyra, Agnieszka Kaupke, Zbigniew Osinski, James Lowther, Artur Rzezutka
Summary: The aim of this study was to assess the prevalence of human enteric viruses in mussels sold on the Polish market and study the fecal contamination of shellfish. The study found that human enteric viruses were commonly present in shellfish, with norovirus being the most frequently detected. The study also observed a seasonal distribution pattern of viruses in shellfish samples.
Editorial Material
Food Science & Technology
Bojan Blagojevic, Lis Alban Denmark
Article
Food Science & Technology
Indy Magnus, Fatemeh Abbasi, Hugo Thienpont, Lien Smeesters
Summary: Food safety and quality are increasingly important in our society, driving the development of novel optical food sensing technologies. However, current optical sensing technologies are often limited in their sensitivity and product variability. In this study, we developed a novel pistachio nut screening methodology using fluorescence spectroscopy and advanced chemometrics to simultaneously detect shells, tree parts, and aflatoxins. By optimizing hardware and software parameters, we achieved a high classification accuracy for healthy pistachio kernels.
Article
Food Science & Technology
Xiaodong Wang, Jingqiang Yu, Haixia Wu, Leiying Wu, Wuyunga Borjihan, Cong Wang, Munkhjargal Burenjargal, Alideertu Dong
Summary: This study developed a novel photon-phonon coupling (PPC) cold sterilization technology and compared its effects with low-temperature pasteurization and microwave ultraviolet. The results showed that PPC effectively reduced bacterial count in raw milk with minimal impact on milk quality and nutritional composition.
Review
Food Science & Technology
Riyadh Abdulmalek Hassan, Sharina Abu Hanifah, Lee Yook Heng, Fawaz Al-badaii, Alizar Ulianas
Summary: This study used bibliometric visualisation map analysis to explore the publication outputs, trends, and hotspots for endocrine disruptors (EDMs) biosensor development in relation to mycotoxins. The analysis showed that the current literature primarily focuses on developing biosensors for detecting highly toxic and widely distributed mycotoxins in food, but there needs to be more focus on biosensors for detecting mycotoxins known as endocrine disruptors.
Article
Food Science & Technology
Yajie Zheng, Jianpeng Dou, Changpo Sun, Hujun Liu, Shipei Zhang, Wenfu Wu
Summary: This study investigated the efficiency of modified SA/ll-glucan/Mt microsphere adsorbents in removing DON and ZEN from CSL. The microspheres showed high adsorption capacity, and simple and rapid regeneration was achieved without affecting the removal efficiency of mycotoxins from CSL.
Article
Food Science & Technology
Carlos Adelantado, Jose Angel Salatti-Dorado, Carlos Herrera, Lourdes Arce, Maria Jose Cardador
Summary: High-performance-ion mobility spectrometry (HPIMS) was used for the first time in the analysis of olive oil samples, following a simple liquid-liquid extraction procedure. The developed methodology is user-friendly, fast, and inexpensive, complying with the principles of green chemistry. The proposed approach, combined with multivariate analysis, showed potential in classifying olive oil samples based on their organoleptic quality, with high accuracy rates.
Article
Food Science & Technology
Jia-Wen Wei, Jia-Rong He, Shi-Yi Chen, Yi-Han Guo, Xuan-Zhu Huo, Nuan Zheng, Shuo-Hui Cao, Yao-Qun Li
Summary: Polycyclic aromatic hydrocarbons (PAHs) are a major cause of human cancer. This study developed a quantitative analysis method for PAH4 using the back propagation neural network (BPNN) algorithm and constant wavelength synchronous fluorescence (CWSF) spectra as the data sets. The method can predict the concentrations of PAH4 in edible oil samples without preprocessing or pre-separation. It has been proven to be a powerful tool for the rapid detection of PAH4.
Article
Food Science & Technology
Liyun Chen, Xiumei Li, Jingyi Chen, Ranxun Lin, Yuhan Mai, Yuxin Lin, Guodong Wang, Zheng Chen, Wei Zhang, Jiang Wang, Cai Yuan, Longguang Jiang, Peng Xu, Mingdong Huang
Summary: Food spoilage is primarily caused by microbial contamination. Curcumin has shown moderate antimicrobial activity as a food preservative. This study formulates curcumin with zinc acetate to enhance its efficacy, resulting in Cur-Zn with increased antimicrobial activity against multiple food-contaminating bacteria and fungi. With light illumination, the antimicrobial activity of Cur-Zn is further enhanced due to the photodynamic inactivation (PDI) effect.
Article
Food Science & Technology
Marta Pilar Ortiz-Moriano, Gonzalo Machado-Schiaffino, Eva Garcia-Vazquez, Alba Ardura
Summary: Mislabelling in the global fisheries sector raises concerns about the identity, safety, and sustainability of seafood products. This study examined mislabelling in shrimps and prawns sold in the Spanish market and assessed potential risks of heavy metal ingestion.
Article
Food Science & Technology
Doyeon Kim, Jinwoo Kim, Minsik Kim
Summary: This study demonstrates the enhanced bactericidal activity of engineered lysins fused with amphipathic antimicrobial peptides against Gram-negative bacterium Cronobacter sakazakii. The fusion lysins are capable of disrupting bacterial cells and significantly reducing the risk of infection within a certain range of temperature and pH. Additionally, the study also shows the bactericidal effect of these fusion lysins against other Gram-negative pathogens.
Article
Food Science & Technology
Seul-Ki Park, Kyung-Jin Cho, Du-Min Jo, Young-Mog Kim
Summary: This study presents a new approach for detecting pathogenic Vibrio spp. in contaminated seafood, which combines PCR with a simplified DNA extraction process and pre-culturing step. The method has been validated and shown to be efficient, time-saving, and highly sensitive, offering a potential alternative for improving safety measures in the food industry.
Article
Food Science & Technology
Suwimol Surareungchai, Chaleeda Borompichaichartkul, Chitsiri Rachtanapun, Nutthachai Pongprasert, Pongphen Jitareerat, Varit Srilaong
Summary: This study builds upon previous research and focuses on risk assessment and analysis in the organic salad industry. The results show that previous risk matrix models can be adapted for various raw materials, and preventive control plans can be applied across different aspects of the production process.
Article
Food Science & Technology
Xuan Zhang, Changling Fang, Xiaoyi Lou, Feng Han, Siman Li, Yongfu Shi, Dongmei Huang
Summary: This study aimed to assess the levels of Biogenic amines (BAs) in four common food types in the Chinese market. It was found that cheese and seafood derived product showed higher levels of BAs, and the histamine level in mackerel and yellow rice wine exceeded the limits.
Article
Food Science & Technology
Martina Foschi, Alessandra Biancolillo, Federico Marini, Francesco Cosentino, Francesca Di Donato, Angelo Antonio D'Archivio
Summary: This study aimed to develop a potentially non-destructive and routine-compatible method for the geographical traceability of high-valued Italian chickpeas. By analyzing the spectral information of the outer and inner parts of the kernels, it was found that the spectral analysis of the outer part yielded accurate and reliable results, indicating the possibility of non-destructive authentication.
