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"Manufacturing processes Safety measures."
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Recognizing and responding to normalization of deviance
\"Contains guidelines to assist facilities in recognizing and addressing the phenomenon of normalization of deviation--Provides techniques for addressing normalized deviations and techniques to eliminate waste in all manufacturing processes--Describes methods for identifying normalized deviation as well as where to find deviations--Includes techniques to reduce operational normalization of deviance and to reduce organizational normalization of deviance; Market description: Process safety professionals in all areas of manufacturing; Process safety consultants; Chemical engineering students; Certified safety professionals\"-- Provided by publisher.
BOOK
Guidelines for Defining Process Safety Competency Requirements
This Guideline presents the framework of process safety knowledge and expertise versus the desired competency level in a \"super-matrix\" format, vertically and diagonally. The matrix references for potential remedies/required training may be tailored to a company's internally developed training, reference externally available training, or some combination of the two. Chapters include: Identify Process Safety Roles & Competency Needs; Process Safety Competency Matrix; Individual and Corporate Process Safety Competencies; Conduct Assessments vs. Needs; Develop Gap Closure Plans; and Sustaining Competencies.
eBook
Recognizing and Responding to Normalization of Deviance
This book provides an introduction and offers approaches for finding and addressing normalization of deviation both in operational and organizational activities. It addresses the initial and long-term effects of normalization of deviations as seen in reduced efficiencies, reduced product quality, extended batch run time, and near miss process safety incidents which can lead to loss of containment of hazardous materials and energies.This book addresses how to recognize and respond to the normalization of deviation that can, and almost certainly will, occur in any ongoing operations that involves humans. The book's primary focus is on reducing the incidence of normalization of deviation and the associated increased risk exposure due to its effects when operating chemical or petrochemical manufacturing facilities. It contains an introduction to the concept and offers approaches for finding and addressing normalization of deviation when it presents itself in both operational and organizational activities.
eBook
HAZOP - Guide to Best Practice - Guidelines to Best Practice for the Process and Chemical Industries (3rd Edition)
This book describes and illustrates the HAZOP study method, highlighting a variety of proven uses and approaches. This updated edition brings additional experience with which to assist the reader in delivering optimum safety and efficiency of performance of the HAZOP team. HAZOP is the most widely-used technique in the process industries for the identification of hazards and the planning of safety measures. This book explains how to implement HAZOP techniques in new facilities and apply it to existing facilities. The content covers many of the possible applications of HAZOP and takes you through all the stages of a study. This simple, easily digestible book is a favorite in the chemical and process industries.
eBook
Practical hazops, trips and alarms
Do you have trips and safety interlocks in your plant?Are they good enough or are they perhaps over-designed and much more expensive than necessary?Are you or your company aware of how Hazard Studies should define risk reduction requirements?Are you actually using Hazard Studies at all?The answer is the integrated approach to safety management.
eBook
Safety evaluation of the food enzyme triacylglycerol lipase from the genetically modified Saccharomyces cerevisiae strain LALL‐LI
The food enzyme triacylglycerol lipase (triacylglycerol acylhydrolase, EC 3.1.1.3) is produced with the genetically modified Saccharomyces cerevisiae strain LALL‐LI by Lallemand Inc. The genetic modifications do not give rise to safety concerns. The food enzyme is free from viable cells of the production organism, but not from recombinant DNA. It is intended to be used in baking processes. Dietary exposure to the food enzyme–total organic solids (TOS) was estimated to be up to 0.42 mg TOS/kg body weight per day in European populations. The production strain of the food enzyme fulfils the requirements for the qualified presumption of safety (QPS) approach to safety assessment. Therefore, the Panel considered that toxicological tests are not needed for the assessment of this food enzyme. A search for the similarity of the amino acid sequence of the food enzyme to known allergens was made and no match was found. The Panel considered that, under the intended conditions of use, the risk of allergic reactions by dietary exposure cannot be excluded, but the likelihood is low. Based on the data provided, the Panel concluded that this food enzyme does not give rise to safety concerns under the intended conditions of use.
Journal Article
Fine-grained activity classification in assembly based on multi-visual modalities
Assembly activity recognition and prediction help to improve productivity, quality control, and safety measures in smart factories. This study aims to sense, recognize, and predict a worker's continuous fine-grained assembly activities in a manufacturing platform. We propose a two-stage network for workers' fine-grained activity classification by leveraging scene-level and temporal-level activity features. The first stage is a feature awareness block that extracts scene-level features from multi-visual modalities, including red–green–blue (RGB) and hand skeleton frames. We use the transfer learning method in the first stage and compare three different pre-trained feature extraction models. Then, we transmit the feature information from the first stage to the second stage to learn the temporal-level features of activities. The second stage consists of the Recurrent Neural Network (RNN) layers and a final classifier. We compare the performance of two different RNNs in the second stage, including the Long Short-Term Memory (LSTM) and the Gated Recurrent Unit (GRU). The partial video observation method is used in the prediction of fine-grained activities. In the experiments using the trimmed activity videos, our model achieves an accuracy of > 99% on our dataset and > 98% on the public dataset UCF 101, outperforming the state-of-the-art models. The prediction model achieves an accuracy of > 97% in predicting activity labels using 50% of the onset activity video information. In the experiments using an untrimmed video with continuous assembly activities, we combine our recognition and prediction models and achieve an accuracy of > 91% in real time, surpassing the state-of-the-art models for the recognition of continuous assembly activities.
Journal Article
Lees' Process Safety Essentials
Lees' Process Safety Essentials is a single-volume digest presenting the critical, practical content from Lees' Loss Prevention for day-to-day use and reference. It is portable, authoritative, affordable, and accessible - ideal for those on the move, students, and individuals without access to the full three volumes of Lees'. This book provides a convenient summary of the main content of Lees', primarily drawn from the hazard identification, assessment, and control content of volumes one and two. Users can access Essentials for day-to-day reference on topics including plant location and layout; human factors and human error; fire, explosion and toxic release; engineering for sustainable development; and much more. This handy volume is a valuable reference, both for students or early-career professionals who may not need the full scope of Lees', and for more experienced professionals needing quick, convenient access to information. Boils down the essence of Lees'-the process safety encyclopedia trusted worldwide for over 30 yearsProvides safety professionals with the core information they need to understand the most common safety and loss prevention challengesCovers the latest standards and presents information, including recent incidents such as Texas City and Buncefield
eBook
Metal powder as feedstock for laser-based additive manufacturing: From production to powder modification
Laser powder bed fusion (L-PBF) and direct laser deposition (DLD) are the two main processes currently used in the additive manufacturing (AM) of metals. For both methods, metal powders are used as feedstock, and they must present specific physical and chemical properties to ensure optimal processing and reliable and reproducible printing results. Particle morphology, size distribution, and flowability, among other factors, depend on the powder production process and directly influence the processing parameters and physical characteristics of the parts built by AM. This systematic review presents different concepts involving L-PBF and DLD manufacturing and the application of metal powders. The methods used to produce and characterize metal powders and the modification techniques to improve their processability by AM are detailed and discussed. Environmental and health risks are also presented, and safety measures that must be considered while handling metal powders. Some key topics requiring attention for further development are highlighted.
Graphical abstract
Journal Article
Safety Analysis of Lithium-Ion Cylindrical Batteries Using Design and Process Failure Mode and Effect Analysis
Cylindrical lithium-ion batteries are widely used in consumer electronics, electric vehicles, and energy storage applications. However, safety risks due to thermal runaway-induced fire and explosions have prompted the need for safety analysis methodologies. Though cylindrical batteries often incorporate safety devices, the safety of the battery also depends on its design and manufacturing processes. This study conducts a design and process failure mode and effect analysis (DFMEA and PFMEA) for the design and manufacturing of cylindrical lithium-ion batteries, with a focus on battery safety.
Journal Article