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Industrial Engineering & Management

Industrial Engineering & Management

ISSN: 2169-0316

Open Access

Articles in press and Articles in process

    Commentary Pages: 1 - 1

    An Analysis of Human Behavior in Horizontal Cooperation to Mitigate the Climate Impact of Logistics

    Eamon Davenport

    The escalating climate crisis necessitates a collective revaluation of practices across industries. This article examines the pivotal role of human behaviour in fostering horizontal cooperation within logistics to mitigate its climate impact. Analysing behavioural patterns, incentive structures, and collaborative frameworks, it sheds light on the potential for collective action to drive substantial environmental change in the logistics sector.

    Commentary Pages: 1 - 1

    Analysis of United Arab Emirates\' Large and Small Poultry Farms\' Biosecurity Preparedness

    Lyra Kensington

    This study delves into the critical assessment of biosecurity preparedness in both large-scale and small-scale poultry farms within the United Arab Emirates (UAE). As the poultry industry continues to expand in the region, understanding and evaluating the biosecurity measures undertaken by these farms becomes imperative. The research employs a comprehensive analysis, considering factors such as infrastructure, protocols, disease management strategies, and compliance with international standards. By examining the disparities and commonalities between large and small poultry farms, this study aims to provide insights into enhancing biosecurity measures, ultimately contributing to the overall sustainability and safety of the UAE's poultry industry.

    Mini Review Pages: 1 - 2

    Density Functional Approach to Sodium Cluster Photoionization: Impact of Cluster Dimension and Exchange?correlation Structure

    Serena Hawthorne

    The study of sodium clusters and their photoionization properties has garnered significant attention due to their intriguing electronic structures and potential applications. This article delves into the density functional approach applied to sodium cluster photoionization, exploring the profound impact of cluster dimension and exchange-correlation structure on these phenomena. Utilizing advanced computational methods and theoretical frameworks, this research aims to unravel the intricate interplay between cluster size, electronic interactions, and the choice of exchange-correlation functionals in understanding and predicting sodium cluster photoionization behavior. By scrutinizing these facets, this article aims to contribute to the deeper comprehension of fundamental processes governing the photoionization dynamics of sodium clusters.

    Perspective Pages: 1 - 1

    Development of a Fermentative Bioprocess for Biomass-bound Astaxanthin with Corynebacterium glutamicum: An Investigation-based Approach

    Emmeline Rivers

    Astaxanthin, a potent carotenoid pigment with diverse industrial applications, poses challenges in its efficient production. This article investigates the development of a fermentative bioprocess for biomass-bound astaxanthin, utilizing C. glutamicum. Through an investigation-based approach, this study delves into optimizing fermentation conditions, genetic manipulation of C. glutamicum, and downstream processing strategies to enhance astaxanthin synthesis and binding to cellular biomass. The article elucidates key findings, challenges, and potential applications of this innovative bioprocess for sustainable and scalable astaxanthin production.

    Mini Review Pages: 1 - 2

    Innovation in Export Product Quality and Entrepreneurship

    Benjamin Turner

    The study of sodium clusters and their photoionization properties has garnered significant attention due to their intriguing electronic structures and potential applications. This article delves into the density functional approach applied to sodium cluster photoionization, exploring the profound impact of cluster dimension and exchange-correlation structure on these phenomena. Utilizing advanced computational methods and theoretical frameworks, this research aims to unravel the intricate interplay between cluster size, electronic interactions, and the choice of exchange-correlation functionals in understanding and predicting sodium cluster photoionization behavior. By scrutinizing these facets, this article aims to contribute to the deeper comprehension of fundamental processes governing the photoionization dynamics of sodium clusters.

    Brief Report Pages: 1 - 1

    Lean Principles in Industrial Engineering: Maximizing Efficiency and Minimizing Waste

    William Montague

    Industrial Engineering, rooted in enhancing productivity and efficiency, finds immense value in Lean Principles. This article aims to elucidate the core tenets of Lean methodologies and their profound impact on minimizing waste while maximizing efficiency within industrial contexts. At its core, Lean thinking centers on the elimination of waste in all forms, encompassing overproduction, waiting time, unnecessary transportation, excess inventory, over-processing, defects, and underutilization of talent.

    Opinion Pages: 1 - 1

    The Role of Quinoid Redox Mediators in the Treatment of Environmental Pollution

    Kieran Ashbourne

    Environmental pollution remains a pressing global challenge, demanding innovative strategies for remediation. Quinoid redox mediators, owing to their unique electron transfer properties and redox capabilities, have garnered attention for their potential role in pollution treatment. This article explores the multifaceted applications and mechanisms of quinoid redox mediators in mitigating environmental pollutants, encompassing diverse domains such as wastewater treatment, soil remediation, and air purification. Understanding the interactions and transformative potential of these mediators offers a promising avenue for sustainable and efficient pollution management.

    Mini Review Pages: 1 - 2

    Using Machine Learning Algorithm Method to Model Callus Induction and Regeneration in Hypocotyl Explant of Fodder Pea (Pisum sativum var. arvense L.)

    Rosalind Langley

    Plant tissue culture techniques have revolutionized agricultural biotechnology, enabling the propagation of plants from cells and tissues. Understanding callus induction and regeneration in plant explants is crucial for crop improvement and genetic transformation. This article explores the application of machine learning algorithms to model callus induction and regeneration in Hypocotyl Explants of Fodder Pea (P. sativum var. arvense L.). Leveraging data-driven approaches, this study aims to predict and optimize the conditions necessary for efficient callus formation and subsequent plant regeneration, facilitating advancements in plant biotechnology and crop breeding.

Google Scholar citation report
Citations: 739

Industrial Engineering & Management received 739 citations as per Google Scholar report

Industrial Engineering & Management peer review process verified at publons

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