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Showing posts with label objectives. Show all posts
Showing posts with label objectives. Show all posts

Modelling and heuristics of FMS scheduling with multiple objectives [An article from: Computers and Operations Research]

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Modelling and heuristics of FMS scheduling with multiple objectives [An article from: Computers and Operations Research] Overviews

This digital document is a journal article from Computers and Operations Research, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
The performance of a scheduling system, in practice, is not evaluated to satisfy a single objective, but to obtain a trade-off schedule regarding multiple objectives. Therefore, in this research, we make use of one of the multiple objective decision-making methods, a global criterion approach, to develop a multi-objective model for solving FMS scheduling problems with consideration of three performance measures, namely minimum mean job flow time, mean job tardiness, and minimum mean machine idle time, simultaneously. In addition, hybrid heuristics, which are a combination of two common local search methods, simulated annealing and tabu search, are also proposed for solving the addressed FMS scheduling problems. The feasibility and adaptability of the proposed heuristics are investigated through experimental results.


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Maintaining high-volume, low-pressure surface-coating regulatory compliance using the U.S. Environmental Protection Agency's Data Quality Objectives Process.(TECHNICAL ... of the Air & Waste Management Association

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Maintaining high-volume, low-pressure surface-coating regulatory compliance using the U.S. Environmental Protection Agency's Data Quality Objectives Process.(TECHNICAL ... of the Air & Waste Management Association Overviews

This digital document is an article from Journal of the Air & Waste Management Association, published by Air and Waste Management Association on March 1, 2005. The length of the article is 5799 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Maintaining high-volume, low-pressure surface-coating regulatory compliance using the U.S. Environmental Protection Agency's Data Quality Objectives Process.(TECHNICAL PAPER)
Author: Michael J. McFarland
Publication:Journal of the Air & Waste Management Association (Refereed)
Date: March 1, 2005
Publisher: Air and Waste Management Association
Volume: 55 Issue: 3 Page: 365(8)

Distributed by Thomson Gale


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Maintaining high-volume, low-pressure surface-coating regulatory compliance using the U.S. Environmental Protection Agency's Data Quality Objectives Process.(TECHNICAL ... of the Air & Waste Management Association

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Maintaining high-volume, low-pressure surface-coating regulatory compliance using the U.S. Environmental Protection Agency's Data Quality Objectives Process.(TECHNICAL ... of the Air & Waste Management Association Overviews

This digital document is an article from Journal of the Air & Waste Management Association, published by Air and Waste Management Association on March 1, 2005. The length of the article is 5799 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Maintaining high-volume, low-pressure surface-coating regulatory compliance using the U.S. Environmental Protection Agency's Data Quality Objectives Process.(TECHNICAL PAPER)
Author: Michael J. McFarland
Publication:Journal of the Air & Waste Management Association (Refereed)
Date: March 1, 2005
Publisher: Air and Waste Management Association
Volume: 55 Issue: 3 Page: 365(8)

Distributed by Thomson Gale


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Four main objectives for the future of chemical and process engineering mainly concerned by the science and technologies of new materials production [An article from: Chemical Engineering Journal]

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Four main objectives for the future of chemical and process engineering mainly concerned by the science and technologies of new materials production [An article from: Chemical Engineering Journal] Overviews

This digital document is a journal article from Chemical Engineering Journal, published by Elsevier in 2005. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Today the chemical and process engineering especially involving chemical reactor engineering has to answer to the changing needs of the chemical and related process industries such as petroleum, petrochemical, bituminous, pharmaceutical and health, agro and food, environment, iron and steel, building materials, paints, glass, surfactants, electronics, cosmetic and perfume, etc., and to meet market demands. So being a key to survival in globalisation of trade and competition, the evolution of chemical engineering is thus necessary. And to satisfy both, the market requirements for specific end-use properties of the products manufactured in (bio)chemical reactors and the social and the resource-saving and environmental constraints of the industrial-scale processes and technologies, it is shown that a necessary progress is coming via a multidisciplinary and time and length multiscale approach. In such a frame the future for the science and technologies of new materials can be summarized by four main objectives: (1) a total multiscale control of the process (or the procedure) to increase selectivity and productivity, i.e., nanotailoring of materials with controlled structure; (2) a design of novel equipment based on scientific principles and new operation modes and methods of production: process intensification; (3) product design and engineering: manufacturing end-use properties with a special emphasis on complex fluids and solids technology; (4) an implementation of the multiscale and multidisciplinary computational chemical engineering modelling and simulation to real-life situations: from the molecule to the overall complex production scale into the entire production site. Moreover, chemical and process engineering will also be increasingly involved and concerned with the application of life cycle assessment to new material design and production and its use but also to the plant and the equipment together with the associated services.


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The Cassini-Huygens Mission: Overview, Objectives and Huygens Instrumentarium

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The Cassini-Huygens Mission: Overview, Objectives and Huygens Instrumentarium Overviews

The joint NASA-ESA Cassini-Huygens mission to Saturn is the most ambitious planetary mission since the VEGA mission to Venus and Halley in 1985/86 and the Viking arbiters and landers to Mars in 1976. Perhaps Cassini is even more ambitious than these earlier missions, or at least more daring, as it is being attempted as a single launch unlike early missions such as VEGA, Viking and Voyager that benefited from the security of a redundant spacecraft. This volume describes the mission, the orbiter spacecraft, the Titan atmospheric probe and the mission design in articles written by its project scientists and engineering team. These are followed by five articles from each of the discipline working groups discussing the existing knowledge of the Saturnian system and their goals for the mission. Finally, each of the Huygens entry probe instrument teams describes their instruments and measurement objectives. These instruments include an atmospheric structure instrument, an aerosol pyrolyser, an imager/radiometer, a gas chromatograph, a surface science package and a radio science investigation. This book is of interest to all potential users of the Cassini-Huygens data, to those who wish to learn about the planned scientific return from the Cassini Huygens mission and those curious about the processes occurring on this most fascinating planet. A second volume is in preparation that describes the instrumentation carried by the orbiter.

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Heuristic approaches to determine base-stock levels in a serial supply chain with a single objective and with multiple objectives [An article from: European Journal of Operational Research]

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Heuristic approaches to determine base-stock levels in a serial supply chain with a single objective and with multiple objectives [An article from: European Journal of Operational Research] Overviews

This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
This paper deals with the problem of determination of installation base-stock levels in a serial supply chain. The problem is treated first as a single-objective inventory-cost optimization problem, and subsequently as a multi-objective optimization problem by considering two cost components, namely, holding costs and shortage costs. Variants of genetic algorithms are proposed to determine the best base-stock levels in the single-objective case. All variants, especially random-key gene-wise genetic algorithm (RKGGA), show an excellent performance, in terms of convergence to the best base-stock levels across a variety of supply chain settings, with minimum computational effort. Heuristics to obtain base-stock levels are proposed, and heuristic solutions are introduced in the initial population of the RKGGA to expedite the convergence of the genetic search process. To deal with the multi-objective supply-chain inventory optimization problem, a simple multi-objective genetic algorithm is proposed to obtain a set of non-dominated solutions.

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Maintaining high-volume, low-pressure surface-coating regulatory compliance using the U.S. Environmental Protection Agency's Data Quality Objectives Process.(TECHNICAL ... of the Air & Waste Management Association

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Maintaining high-volume, low-pressure surface-coating regulatory compliance using the U.S. Environmental Protection Agency's Data Quality Objectives Process.(TECHNICAL ... of the Air & Waste Management Association Overviews

This digital document is an article from Journal of the Air & Waste Management Association, published by Air and Waste Management Association on March 1, 2005. The length of the article is 5799 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Maintaining high-volume, low-pressure surface-coating regulatory compliance using the U.S. Environmental Protection Agency's Data Quality Objectives Process.(TECHNICAL PAPER)
Author: Michael J. McFarland
Publication:Journal of the Air & Waste Management Association (Refereed)
Date: March 1, 2005
Publisher: Air and Waste Management Association
Volume: 55 Issue: 3 Page: 365(8)

Distributed by Thomson Gale

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A heuristic algorithm for master planning that satisfies multiple objectives [An article from: Computers and Operations Research]

A heuristic algorithm for master planning that satisfies multiple objectives [An article from: Computers and Operations Research] Review










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Overviews

This digital document is a journal article from Computers and Operations Research, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
This study proposes a heuristic algorithm, called the multi-objective master planning algorithm (MOMPA), to solve master planning (MP) problems for a supply chain network with multiple finished products. MOMPA has three objectives: to minimize delay penalties, to minimize use of outsourcing capacity, and to minimize the costs of materials, production, processing, transportation, and inventory holding-all while respecting the capacity limitations and the demand deadlines of all those involved in a given supply chain network. MOMPA plans each demand, one by one, without backtracking, and sorts those demands using a sorting mechanism that is part of the algorithm. For each demand, the minimum production cost tree is determined within the limits of the time bucket for the demand deadline. The maximum available capacity of this tree is then computed for the ''no delay'' case. Following this calculation, the delay-or-not criterion is evaluated to determine whether or not further delay is necessary. MOMPA compares the results of these two procedures and allocates the appropriate capacities to the demand for all the nodes on the selected tree. If the minimum cost production tree has no available capacity, MOMPA adjusts the network and looks for a new tree. With complexity and computational analysis, MOMPA is shown to be very efficient in solving MP problems, sometimes generating the same optimal solution as the LP model.

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