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The Boeing Company is the world's largest aerospace company and is constantly evaluating improvement opportunities to the production system. It is of ongoing interest to the company to have to tools to assess new manufacturing sites. Among the required tasks for such an effort, engineers must identify the processes and capabilities that will be needed. A critical element of this study is the system of internal logistics processes that could manage the flow of parts and material throughout a site. Planning the capacity of these processes is difficult when many of the parameters are uncertain and yet to be determined. This thesis proposes a method for estimating capacity requirements of internal logistics processes by employing the concepts of queuing theory and Little's Law. Using this methodology, a process model was developed and validated by discrete event simulation to provide process planners with an understanding of the relationship and importance of numerous parameters. This understanding allows planners and management to assess the capacity requirements of the processes in terms of projected costs and performance. Values of wait times predicted by the proposed model were in strong agreement with values observed from simulation (R-squared of 96.4%; MAPE of 14.9%) suggesting that the proposed methodology represents an easy-to-use and accurate representation of process parameters. In order to improve the applicability of capacity recommendations for Boeing, further refinement is needed of underlying process parameters as well as cost modeling of threshold parameters (k and pn_max).
In a context of global competition, the optimization of logistics systems is inescapable. Logistics Systems: Design and Optimization falls within this perspective and presents twelve chapters that well illustrate the variety and the complexity of logistics activities. Each chapter is written by recognized researchers who have been commissioned to survey a specific topic or emerging area of logistics. The first chapter, by Riopel, Langevin, and Campbell, develops a framework for the entire book. It classifies logistics decisions and highlights the relevant linkages to logistics decisions. The intricacy of these linkages demonstrates how thoroughly the decisions are interrelated and underscores the complexity of managing logistics activities. Each of the chapters focus on quantitative methods for the design and optimization of logistics systems.
Designing Innovations in Industrial Logistics Modelling describes practical methods for approaching the task of designing industrial logistics systems. It surveys the development of logistics models and their application in manufacturing to designing, planning, and implementing the movement of supplies, equipment, and products. This text/reference book discusses the combination of operation and production research to obtain solutions for designing and integrating advanced logistics systems. It provides the reader with a set of prescriptive and descriptive models and methods that have been developed exclusively for the purpose of designing, managing, and optimizing the architecture of such advanced systems. The design and application of new tools and methods is presented in such a way that emphasizes the competitiveness of manufacturing industries, and case studies are presented in a manner that demonstrates successful models and methods in advanced industrial logistics systems. In addition, Designing Innovations in Industrial Logistics Modelling explains the various formal tools and methodologies employed in evaluating new programs and covers program management and dynamic evaluation techniques.
This book reports on topics at the interface between manufacturing and materials engineering, with a special emphasis on product design and advanced manufacturing processes, intelligent solutions for Industry 4.0, covers topics in ICT for engineering education, describes the numerical simulation and experimental studies of milling, honing, burnishing, grinding, boring, and turning, as well as the development and implementation of advanced materials. Based on the 4th International Conference on Design, Simulation, Manufacturing: The Innovation Exchange (DSMIE-2021), held on June 8-11, 2021, in Lviv, Ukraine, this first volume of a 2-volume set provides academics and professionals with extensive information on trends, technologies, challenges and practice-oriented experience in the above-mentioned areas.
Mr. Rajesh Jain, GM, Operations, Jindal South West SCPL, had been tasked to design an internal logistics plan for the proposed production expansion. Before devising new plan, he wanted to analyse existing internal logistic activities thoroughly. The challenge ahead was to calculate the minimum number of trucks required for both procurement and dispatch operations within the plant and outbound logistics. Moreover, he had to identify the stations within the plant that needed expansion to ensure seamless movement of material. This use case can be used to teach process flow analysis; identify and eliminate capacity constraint/s and conduct resource planning in operations management and SCM courses in the post-graduate programme in management and/or industrial management.
This volume collects recent results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and advanced computing techniques for design of production systems, supply and inventory management, production planning and scheduling, location, transportation and logistics, and simulation in supply flow optimisation. The text presents a wide spectrum of optimisation problems taking into account supply chain paradigms, which are pivotal to improving productivity.
Improve key metrics of manufacturing performance with this accessible guide Manufacturing throughput refers to the quantity of products that can be produced within a period and with available resources. Enhancing manufacturing throughput is crucial for a business’s success. However, managing and improving throughput can be challenging due to the complexity of manufacturing systems and their operations, which involve numerous variables. To effectively manage and improve system throughput, it is essential to adopt a scientifically guided methodology and practices. Manufacturing System Throughput Excellence is a unique book that provides a concise and practical overview of manufacturing throughput management. It includes best practices for achieving improved throughput on the production floor and explores the connections between production management and system design. The book emphasizes practical, executable approaches, drawing on the author’s 25+ years of industry and academic experience. It serves as an indispensable tool for businesses looking to boost manufacturing efficiency and drive improved outcomes. Manufacturing System Throughput Excellence readers will discover: The latest and effective approaches for achieving manufacturing operational excellence Key pillars of manufacturing excellence: production management, maintenance management, quality management, and system design Specific principles and methods on bottleneck identification and buffer analysis Insightful connections between academic research and industrial practice Summaries and end-of-chapter exercises to reinforce learning Manufacturing System Throughput Excellence is a unique and comprehensive guide for manufacturing practitioners and researchers, as well as mechanical and industrial engineering students in advanced manufacturing courses.
The book presents a collection of 103 peer-reviewed articles from the Second International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018). The conference was organized by the Faculty of Mechanical Engineering and CAMT (Centre for Advanced Manufacturing Technologies), Wrocław University of Science and Technology and was held in Wrocław (Poland) on 17–18 September 2018. The conferences topics included the possibility of using a wide range of intelligent methods in production engineering, presenting and discussing new solutions for innovative plants, research findings and case studies demonstrating advances in production and maintenance from the point of view of Industry 4.0 – particularly applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems and product development. The book is divided into two parts: the first includes papers related to intelligent systems in production engineering, while the second is dedicated to special sessions focusing on: 1. Computer Aided methods in Production Engineering 2. Mining 4.0 and Intelligent Mining Transportation 3. Modelling and Simulation of Production Processes 4. Multi-Faceted Modelling of Networks and Processes 5. Product Design and Product Manufacturing in Industry 4.0 This book is an excellent source of information for scientists in the field of manufacturing engineering and for top managers in production enterprises.
This book discusses the papers presented at Conference ISPEM 2023 which was organized by Wrocław University of Science and Technology, Liverpool John Moores University, and University of Minho. The conference gave an opportunity to exchange experiences in intelligent systems and tools in production, and maintenance, especially its practical application.