Refine Results
Sort By
From
To
Page 1
Page 1
Biopharmaceutical manufacturing progress, trends and challenges
Source of the latest innovative research and technical development in biomanufacturing systems. It is organised into 2 parts: 1) Manufacturing of recombinant therapeutic proteins (e.g. therapeutic antibodies, biosimilars/biogenerics) and 2) Manufacturing aspects of cell and gene therapy. Each with selected chapters on the following topics for both up- and downstream, such as: Advanced process strategies, especially continuous manufacturing, Advanced culture techniques, especially single-use systems, Process transfer, scale-up/scale-down models, Processing advances/Manufacturing productivity/efficiency, Model-assisted process understanding and development/Digital Twins, Process controls and analytics, Quality control, Quality by design, Facility design and full-scale commercial systems, manufacturing technology innovation.
Machine-learning-assisted intelligent processing and optimization of complex systems
Focuses on the most recent developments in intelligent optimization methods and their applications in various test cases. The reprint covers various topics, including distributed multiagent modeling, metaheuristic algorithms, multisource data fusion, mobile computing and mobile sensing, machine learning-based intelligent processing for modeling complex manufacturing systems, and data-driven intelligent modeling
Mass Customization : Challenges and Solutions
Mass Customization: Challenges and Solutions defines the parameters of the emerging business strategy, mass customization. The book will cover the main categories of the area with a systematic examination of the following themes: manufacturing systems and mass customization, supply chain management and mass customization, and information systems and mass customization.
Kanban-Controlled Manufacturing Systems
Kanban control systems bear a great potential to significantly improve operations. A company may reap the full benefits of kanban control only after determining an optimal or near-optimal system configuration. To do that, methods are needed to evaluate the performance and operating costs of individual system configurations. We propose an innovative construction-kit approach that enables us to build stochastic analytical models of a large class of single- and multi-product kanban systems. The presented construction-kit approach may be extended and augmented in various directions
Just-in-Time Scheduling : Models and Algorithms for Computer and Manufacturing Systems
As the field of Supply Chain Management has matured, maintaining the precise flow of goods to maintain schedules (hence, minimizing inventories) on a just-in-time basis still remains as a major challenge. This problem or challenge has resulted in a fair amount of quantitative research in the area, producing an array of models and algorithms to help ensure the precise flow of components and final products into inventories to meet just-in-time requirements.The scheduling models and algorithms presented and illustrated in the book will be done so in the context of extensive use of computer systems in a "real time context.
A Successful Transformation? : Restructuring of the Czech Automobile Industry
This book investigates the complex processes of the post-1990 transformation in the Czech automotive industry and its selective integration in the West European automobile manufacturing system. The post-1990 restructuring of the Czech automotive industry is analyzed in the context of its pre-1990 development and in the context of the Central and East European automobile industry as a whole. Specifically, the book examines the development and post-1990 restructuring of the Czech passenger car industry, the components industry and truck manufacturing. Major topics covered include the development of the Czech automotive industry before 1990, the detailed case study of Škoda Auto, the effects of the post-1990 privatization in the Czech automotive industry, the role and effects of foreign direct investment during the post-1990 restructuring, the restructuring of the Czech truck industry, and the rapid development of the automotive components manufacturing.
Markov Chains : Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models. Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.
Manufacturing Systems Control Design : A Matrix-based Approach
The matrix-based approach presented here is a solution to the real-time application of control in discrete event systems and flexible manufacturing systems (FMS), and offers a sound practical basis for the design of controllers for manufacturing systems.
Manufacturing Systems : Theory and Practice
The book has six chapters that have been arranged according to the sequence used when creating and operating a manufacturing system. Thus, the subjects emphasised are: the decision framework for manufacturing, the manufacturing processes, the manufacturing equipment and machine tools, the design for manufacturing and the operation of manufacturing systems. The book attempts a compromise between theory and practice in all addressed manufacturing systems issues, covering a long spectrum of issues from traditional manufacturing processes to innovative technologies such as Virtual Reality, Nanotechnology and Rapid Prototyping.
Average-Cost Control of Stochastic Manufacturing Systems
This book is concerned with hierarchical control of manufacturing systems under uncertainty. It focuses on system performance measured in long-run average cost criteria, exploring the relationship between control problems with a discounted cost and that with a long-run average cost in connection with hierarchical control. A new theory is articulated that shows that hierarchical decision making in the context of a goal-seeking manufacturing system can lead to a near optimization of its objective. The approach in the book considers manufacturing systems in which events occur at different time scales.
ANEMONA : A Mulit-agent Methodology for Holonic Manufacturing Systems
ANEMONA is a multi-agent system (MAS) methodology for holonic manufacturing system (HMS) analysis and design, based on HMS requirements. The development process of ANEMONA provides clear and HMS-specific modeling guidelines for HMS designers, and complete development phases for the HMS life cycle.
