1,721,110 research outputs found
A strategic and social analytics model for sustainable packaging in the cosmetic industry
Every day, we use cosmetic products that are not only focused on beauty but also with everything related to personal care and hygiene. The impact that these products have on sustainability cannot be overlooked. Many cosmetics contain unsustainable ingredients that can cause environmental damage and loss of biodiversity. In addition, fossil-based packaging contributes greatly to environmental pollution and increases waste in the absence of a circular supply chain. This work has a dual objective. The first is to provide a strategic analysis based on a multi-criteria approach to evaluate the most sustainable alternatives to traditional packaging that manufacturers could adopt based on the opinions of experts from different categories of stakeholders. In this study, the multi-criteria approach was employed, as it has been widely recognized in the literature for its effectiveness in evaluating and comparing alternatives across multiple, often conflicting criteria. The second is to provide a social analysis to assess consumers’ views, habits, preferences, and willingness to pay toward sustainable packaging. The results show divergence among experts who prefer refillable packaging while consumers prefer recyclable packaging. In contrast, a convergence in selling price and production costs is verified, highlighting the strategic importance of the economic dimension is for sustainable packaging, and the willingness to pay for sustainable packaging is about twice that of traditional packaging. The implications of this work suggest that circular supply chains covering the entire life cycle of products, based on a pragmatic approach, can drive the convergence of consumption and production patterns toward sustainable development
Impact of supply chain risk and supply chain finance on firm performance : evidences from Indian SMEs
Indian small and medium enterprises (SMEs) are facing various issues related to their supply chain during the post-COVID era. Due to the risky nature of business for SMEs, ensuring timely finances from lending firms becomes crucial and this has become even more difficult after the COVID pandemic. In view of this, the present chapter tries to assess the impact of supply chain risk (SCR) and supply chain finance (SCF) on the performance of Indian SMEs. The structured survey collects the responses from 140 sample SMEs from Delhi-NCR. The structural equation modeling is done to assess the impact of SCF and SCR on firm performance. The SCR is also considered as the mediator between the SCF and firm performance. After ensuring the reliability and validity of the measurement model, the structural model is tested using AMOS and PROCESS Macro. The results of the study show that SCF and SCR have a significant impact on the performance of Indian SMEs. The supply chain risk is also a significant mediator between the SCF and firm performance
Role of AI in various industrial managerial disciplines
Over the last two decades, continual global demand has put constant pressure on businesses to improve with time and outperform each other. Technological advancements such as artificial intelligence, big data analytics, Internet of Things (IoT), and machine learning can be seen in every sphere of business. These advancements have dramatically improved the finesse, intricacy, and sophistication of operations. Artificial intelligence is significant because it improves human capabilities like thinking, reasoning, planning, communication, and perception by allowing software to perform these functions more effectively and efficiently. The second research paper aims to study the future aspects of artificial intelligence and how it might make a difference. However, the paper's core research focuses on the role of artificial intelligence in various business operation
Risk, Reliability and Resilience in Operations Management
Risk, Reliability and Resilience in Operations Management examines measurement tools and techniques and their real-world application. The book provides a resource that is needed to help solve complex business operations and global supply chains and their important requirements for the accurate measurement of risk, reliability, and resilience to inform decisions and reduce risk. In addition, the book discusses advancements in technology and data analytics, with final sections covering the COVID-19 pandemic and how it has put greater emphasis on the importance of risk, reliability, and resilience in business operations.
This book provides a timely overview of measurement techniques and their application in operations management, offering insights into future directions in this field
Advances in soft computing applications
Textile industries are among the most polluting and demand urgent management measures to mitigate their negative environmental impact. Thus, it is imperative to incorporate the textile industry into the circular economy and to foster sustainable practices. This study aims to establish a comprehensive, compliant decision framework to analyse risk mitigation strategies for circular supply chain (CSC) adoption in India’s textile industries. The Situations Actors Processes and Learnings Actions Performances (SAP–LAP) technique analyses the problem. However, interpreting the interacting associations between the SAP–LAP model-based variables is somewhat lacking in this procedure, which might skew the decision-making process. As a result, in this study, the SAP–LAP method is accompanied by a novel ranking technique, namely, the Interpretive Ranking Process (IRP), which reduces decision-making issues in the SAP–LAP method and aids in evaluating the model by determining the ranks of variables; furthermore, the study also offers causal relationships among the various risks and risk factors and various identified risk-mitigation actions by constructing Bayesian Networks (BN) based on conditional probabilities. The study’s originality represents the findings using an instinctive and interpretative choice approach to address significant concerns in risk perception and mitigation techniques for CSC adoption in the Indian textile industries. The suggested SAP–LAP and the IRP-based model would assist firms in addressing risk mitigation techniques for CSC adoption concerns by providing a hierarchy of the various risks and mitigation strategies to cope with. The simultaneously proposed BN model will help visualise the conditional dependency of risks and factors with proposed mitigating action
Cyber-physical fusion architecture: To mitigate risk for resilient supply chain
Disruptive technologies have transformed supply chain (SC) operations into automated SC. However, SC firms still lack transparency and accuracy in SC networks and work under high-risk conditions. In this direction, a cyber-physical fusion architecture is proposed to gain interoperability and technical integration between the cyber and physical worlds, resulting in a resilient SC. The core components of the architecture include a cyber-physical production system (CPPS), big data, augmented reality/virtual reality (AR/VR), additive manufacturing (AM), and incorporation of blockchain technology (BCT), which provide a realistic solution for traditional SC models to mitigate risk. This study highlights the proposed cyber-physical fusion architecture that can lead to SC innovation and reconfiguration in the digital era. The objective of this study is to explore the potential opportunities of the proposed architecture through which SC performance can be enhanced by capturing real-time data, SC risks, disruptions, product visualization, or logistic tracking that can be accessed by edge services or portable terminals. It is underlined that adopting the proposed architecture will synchronize and resilient the SC and provide many provisions for cost reductions, controlled carbon emissions, and optimal usage of resources to mitigate risk. This chapter presents a cyber-physical fusion architecture with the extant literature on integrated SC and Industry 4.0, its functional implementation, opportunities, and future perspectives
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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