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Titlebook: Industrial Applications of Combinatorial Optimization; Gang Yu Book 1998 Springer-Verlag US 1998 Analysis.Manufacturing.algorithm.algorith

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發(fā)表于 2025-3-21 19:17:30 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Industrial Applications of Combinatorial Optimization
編輯Gang Yu
視頻videohttp://file.papertrans.cn/464/463937/463937.mp4
叢書名稱Applied Optimization
圖書封面Titlebook: Industrial Applications of Combinatorial Optimization;  Gang Yu Book 1998 Springer-Verlag US 1998 Analysis.Manufacturing.algorithm.algorith
描述Industries rely more and more on advanced technology. Accelerated computer evolution makes large-scale computation practical. Many enterprises are be- ginning to benefit from more efficient allocation of resources and more effective planning, scheduling, manufacturing, and distribution by adopting state-of-the- art decision support systems. Academics increasingly emphasize application- driven research. All these forces have moved optimization from a pure class- room and textbook terminology to an accepted tool in today‘s business world. This book chronicles and describes applications of combinatorial optimization in industry. A wide range of applications is included: manpower planning ? production planning ? job sequencing and scheduling ? manufacturing layout design ? facility planning ? vehicle scheduling and routing ? retail seasonal planning ? I! space shuttle scheduling, and telecommunication network design . ? The applications covered in this book comprise a representative set of industry sectors including electronics, airlines, manufacturing, tobacco, retail, telecom- munication, defense, and livestock. These examples should encourage opera- tions researchers and applied mat
出版日期Book 1998
關鍵詞Analysis; Manufacturing; algorithm; algorithms; combinatorial optimization; communication; electronics; ope
版次1
doihttps://doi.org/10.1007/978-1-4757-2876-7
isbn_softcover978-1-4419-4797-0
isbn_ebook978-1-4757-2876-7Series ISSN 1384-6485
issn_series 1384-6485
copyrightSpringer-Verlag US 1998
The information of publication is updating

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Lagrangian Relaxation for Flow Shop Scheduling,or the problem of minimizing the makespan. By decomposing the model into unlinked one-machine sequencings without due dates, Lagrangian relaxation introduces subproblems amenable to the greedy algorithm. Moreover, since the subproblems do not have the integrality property, the Lagrangian bound can be stronger than the LP bound.
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A Heuristic for Vehicle Routing and Manpower Planning,is a requirement for the money to be deposited at banks along the route. Consequently the more traditional routing and scheduling methodologies and software are not easily applied to the problem. This paper details the approach used and highlights some of the good points and the pitfalls in the proposed solution.
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Book 1998 ginning to benefit from more efficient allocation of resources and more effective planning, scheduling, manufacturing, and distribution by adopting state-of-the- art decision support systems. Academics increasingly emphasize application- driven research. All these forces have moved optimization fro
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1384-6485 es are be- ginning to benefit from more efficient allocation of resources and more effective planning, scheduling, manufacturing, and distribution by adopting state-of-the- art decision support systems. Academics increasingly emphasize application- driven research. All these forces have moved optimi
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A Study of the Space Shuttle Scheduling Problem,cedence for such activity in space. The program continues to grow, in size and complexity, thus increases the need for better planning and scheduling capabilities. The use of such tools will assist in making engineering and management decisions while easing pressures on the whole system.
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