A Fuzzy Logic Approach to Type-I Stochastic Assembly Line Balancing PDF Download
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Author: Christopher Lee Guest
Publisher:
ISBN:
Category :
Languages : en
Pages : 252
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Author: Christopher Lee Guest
Publisher:
ISBN:
Category :
Languages : en
Pages : 252
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Author: Patrick Regis McMullen
Publisher:
ISBN:
Category : Assembly-line balancing
Languages : en
Pages : 254
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Author: Ahmet Mete-Tanrikut
Publisher:
ISBN:
Category :
Languages : en
Pages : 258
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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: Mohammad Hosein Alavidoost
Publisher:
ISBN: 9783330027404
Category :
Languages : en
Pages : 52
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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: Zohreh Molamohamadi
Publisher: Springer Nature
ISBN: 3030897435
Category : Computers
Languages : en
Pages : 370
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Book Description
This book constitutes selected and revised papers from the 7th International Conference Logistics and Supply Chain Management, held in December 2020 in Tehran, Iran. Due to the COVID-19 pandemic the conference was held online. The 17 full papers and 2 short papers pressented were thoroughly reviewed and selected out of 70 submissions. The papers are organized in the topical sections on ​information technology in supply chain management; production/scheduling and transportation in supply chain management; sustainable and resilient supply chain management; humanitarian supply chain management.
Author: Erdal Erel
Publisher:
ISBN:
Category : Assembly-line balancing
Languages : en
Pages : 466
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Author: Fred N. Silverman
Publisher:
ISBN:
Category : Cost
Languages : en
Pages : 14
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Author: Chun Lin Tsui
Publisher:
ISBN:
Category :
Languages : en
Pages : 180
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