A Stochastic Approach to the Assembly Line Balancing Problem PDF Download
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Author: Ahmet Mete-Tanrikut
Publisher:
ISBN:
Category :
Languages : en
Pages : 258
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Book Description
Author: Ahmet Mete-Tanrikut
Publisher:
ISBN:
Category :
Languages : en
Pages : 258
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Book Description
Author: Patrick Regis McMullen
Publisher:
ISBN:
Category : Assembly-line balancing
Languages : en
Pages : 254
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Book Description
Author: Christopher Lee Guest
Publisher:
ISBN:
Category :
Languages : en
Pages : 252
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Book Description
Author: Erdal Erel
Publisher:
ISBN:
Category : Assembly-line balancing
Languages : en
Pages : 466
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Book Description
Author: Fred N. Silverman
Publisher:
ISBN:
Category : Assembly-line methods
Languages : en
Pages : 216
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Book Description
Author: Shifeng Liu
Publisher: Springer Nature
ISBN: 9813343591
Category : Business & Economics
Languages : en
Pages : 1056
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Book Description
This book contains the proceedings of the 10th International Conference on Logistics, Informatics and Service Sciences (LISS 2020), which is co-organized by Beijing Jiaotong University, Budapest University of Technology and Economics, in July 25–28 2020. This book focuses on the “AI and data-driven technical and management innovation in logistics, informatics and services” and aims to provide new research methods, theories and applications from various areas of management and engineering. In detail the included scientific papers analyse and describe communication processes in the fields of logistics, informatics, service sciences and other related areas. The variety of papers delivers added value for both scholars and practitioners. Information and communication technologies have been providing an effective network infrastructure and development platform for logistics and service operations.
Author: Brahim Rekiek
Publisher: Springer Science & Business Media
ISBN: 1846281148
Category : Technology & Engineering
Languages : en
Pages : 166
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Book Description
Efficient assembly line design is a problem of considerable industrial importance. Assembly Line Design will be bought by technical personnel working in design, planning and production departments in industry as well as managers in industry who want to learn more about concurrent engineering. This book will also be purchased by researchers and postgraduate students in mechanical, manufacturing or micro-engineering.
Author: Celso Gustavo Stall Sikora
Publisher: Springer Nature
ISBN: 3658362820
Category : Business & Economics
Languages : en
Pages : 190
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Book Description
Assembly lines are productive systems, which are very efficient for homogeneous products. In the automotive industry, an assembly line is used in the production of several vehicle variants, including numerous configurations, options, and add-ins. As a result, assembly lines must be at the same time specialized to provide high efficiency, but also flexible to allow the mass customization of the vehicles. In this book, the planning of assembly lines for uncertain demand is tackled and optimization algorithms are offered for the balancing of such lines. Building an assembly line is a commitment of several months or even years, it is understandable that the demand will fluctuate during the lifetime of an assembly line. New products are developed, others are removed from the market, and the decision of the final customer plays a role on the immediate demand. Therefore, the variation and uncertainty of the demand must be accounted for in an assembly line. In this book, methods dealing with random demand or random production sequence are presented, so that the practitioners can plan more robust and efficient production systems.
Author: Prakhash Udayakumar
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 84
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Book Description
In a single model manual assembly line, product flows through series of workstations arranged in a sequential manner. Each workstation has a finite number of tasks and each task has probabilistic processing time. Due to the probabilistic nature of task time, the task times can exceed the expected standard task time at some instance. If a series of tasks exceeds in a particular station, then there is a risk that the product may exceed the cycle time. As a result, a small variability in task time can lead to large delays in the delivery lead time of the product. Most of the line balancing approaches assume deterministic task times thereby ignoring the impact of task time variability on the system performance measures. The larger the variability of task time, the higher the risk associated with the station. In this paper, the impact of variability in task time is quantified in terms of risk. Risk is defined as potential loss caused when the product fails to complete within the specified station time. For line balancing, in addition to cycle time balancing, the risk should be balanced in order to improve the performance of the assembly line. In this research, a risk based assembly line balancing technique for highly variable task times is presented. The results from the case study show that the method increases the performance of the assembly line while balancing the risk of delays at each station.
Author: Yuchen Li
Publisher: Springer Nature
ISBN: 9811942153
Category : Technology & Engineering
Languages : en
Pages : 164
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Book Description
This book introduces several mathematical models in assembly line balancing based on stochastic programming and develops exact and heuristic methods to solve them. An assembly line system is a manufacturing process in which parts are added in sequence from workstation to workstation until the final assembly is produced. In an assembly line balancing problem, tasks belonging to different product models are allocated to workstations according to their processing times and precedence relationships among tasks. It incorporates two features, uncertain task times, and demand volatility, separately and simultaneously, into the conventional assembly line balancing model. A real-life case study related to the mask production during the COVID-19 pandemic is presented to illustrate the application of the proposed framework and methodology. The book is intended for graduate students who are interested in combinatorial optimizations in manufacturing with uncertain input.
