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.
Author: Fred N. Silverman
Publisher:
ISBN:
Category : Cost
Languages : en
Pages : 14
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Book Description
Author: Ahmet Mete-Tanrikut
Publisher:
ISBN:
Category :
Languages : en
Pages : 258
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Book Description
Author: Chun Lin Tsui
Publisher:
ISBN:
Category :
Languages : en
Pages : 180
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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: Christopher Lee Guest
Publisher:
ISBN:
Category :
Languages : en
Pages : 252
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Book Description
Author: Masayuki Matsui
Publisher: Springer Science & Business Media
ISBN: 0387848045
Category : Business & Economics
Languages : en
Pages : 282
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Book Description
The subject for this book is my life work on the enterprise modeling and integration by a stochastic/queuing form, and the book plan was conceived before my stay in the USA in 1996–97 as a visiting scholar. The rst title was “Stochastic Management and Design of Manufacturing Systems.” The rst version was attempted in 2001; however, this version was inappropriate and was not revised till now. It is 40 years since I attempted a stochastic approach to manufacturing and management due to the limitations of statistical approaches. The century in which industrial engineering and management rose to the forefront was one in which a static/statistical approach was applied to the development of classical models and general/average theory. This book presents a stochastic management approach to the manufacturing and service enterprise with risks by a game/strategic view, and is based on many papers in production/queueing studies that have appeared in famous journals. The book’s objective is to discuss and show the goals and constraints on manufacturing and service enterprises, and to provide a strategic/collaborative solution for management with risks in heterogeneity. This book mainly focuses on the three manufacturing classes: continuous, poi- wise, and exible stream types under risks. These manufacturing streams are rst studied using the respective stochastic processes, and are characterized and dev- oped as a queueing/strategic control problem of look-ahead/buffer, selection/swit- over, and arrangement/routings. Moreover, the behaviors of some design/control variables are shown and useful theories for design are established.
Author: Patrick Regis McMullen
Publisher:
ISBN:
Category : Assembly-line balancing
Languages : en
Pages : 254
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Book Description
Author: Vittorio Maniezzo
Publisher: Springer Science & Business Media
ISBN: 1441913068
Category : Business & Economics
Languages : en
Pages : 283
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Book Description
Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization. This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems.
