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Showing posts with label article. Show all posts
Showing posts with label article. 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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For many North Carolina start-ups, biology is destiny: the Biotechnology Center has provided $14.5 million to 86 companies for product research and development.(N.C. ... An article from: Business North Carolina

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For many North Carolina start-ups, biology is destiny: the Biotechnology Center has provided .5 million to 86 companies for product research and development.(N.C. ... An article from: Business North Carolina Overviews

This digital document is an article from Business North Carolina, published by Business North Carolina on September 1, 2004. The length of the article is 1037 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: For many North Carolina start-ups, biology is destiny: the Biotechnology Center has provided .5 million to 86 companies for product research and development.(N.C. Biotechnology Center)(North Carolina)
Publication:Business North Carolina (Magazine/Journal)
Date: September 1, 2004
Publisher: Business North Carolina
Volume: 24 Issue: 9 Page: S12(2)

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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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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Danbury company aims at national presence.(DOING BUSINESS IN DANBURY)(Network Support Company L.L.C): An article from: Fairfield County Business Journal

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Danbury company aims at national presence.(DOING BUSINESS IN DANBURY)(Network Support Company L.L.C): An article from: Fairfield County Business Journal Overviews

This digital document is an article from Fairfield County Business Journal, published by Westfair Communications, Inc. on June 27, 2005. The length of the article is 992 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: Danbury company aims at national presence.(DOING BUSINESS IN DANBURY)(Network Support Company L.L.C)
Author: Bob Chuvala
Publication:Fairfield County Business Journal (Magazine/Journal)
Date: June 27, 2005
Publisher: Westfair Communications, Inc.
Volume: 44 Issue: 26 Page: 21(2)

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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An iterative sequential heuristic procedure to a real-life 1.5-dimensional cutting stock problem [An article from: European Journal of Operational Research]

An iterative sequential heuristic procedure to a real-life 1.5-dimensional cutting stock problem [An article from: European Journal of Operational Research] Review










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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 addresses a real-life 1.5D cutting stock problem, which arises in a make-to-order plastic company. The problem is to choose a subset from the set of stock rectangles to be used for cutting into a number of smaller rectangular pieces so as to minimize total production cost and meet orders. The total production cost includes not only material wastage, as in traditional cutting stock problems, but also production time. A variety of factors are taken into account, like cutter knife changes, machine restrictions, due dates and other work in progress limitations. These restrictions make the combinatorial structure of the problem more complex. As a result, existing algorithms and mathematical models are no longer appropriate. Thus we developed a new 1.5D cutting stock model with multiple objectives and multi-constraints and solve this problem in an incomplete enumerative way. The computational results show that the solution procedure is easy to implement and works very well.

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Burning our money to warm the planet: Canada's ineffective efforts to reduce greenhouse gas emissions.: An article from: C.D. Howe Institute Commentary

Burning our money to warm the planet: Canada's ineffective efforts to reduce greenhouse gas emissions.: An article from: C.D. Howe Institute Commentary Review










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Overviews

This digital document is an article from C.D. Howe Institute Commentary, published by Thomson Gale on May 15, 2006. The length of the article is 13735 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: Burning our money to warm the planet: Canada's ineffective efforts to reduce greenhouse gas emissions.
Author: Mark Jaccard
Publication:C.D. Howe Institute Commentary (Magazine/Journal)
Date: May 15, 2006
Publisher: Thomson Gale
Issue: 234 Page: COV(32)

Distributed by Thomson Gale

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Design of separation process of azeotropic mixtures based on the green chemical principles [An article from: Journal of Cleaner Production]

Design of separation process of azeotropic mixtures based on the green chemical principles [An article from: Journal of Cleaner Production] Review










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Overviews

This digital document is a journal article from Journal of Cleaner Production, 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 paper presents an integrated methodology for synthesis of separation process of azeotropic mixture based on the green chemical principles, which inherently incorporates environmental factors into the separation process synthesis. Characterization of the environmental impact of a chemical process is carried out on the basis of our established environmental impact database (containing nine indices). The superstructure is optimized more effectively and reliably by integrating the mathematical programming approach using multi-objective mixed integer non-linear programming techniques and heuristic approach. The complexity and size of synthesis search space were greatly reduced by applying the thermodynamic insights into the selection of separation techniques. The proposed methodology was highlighted through two industrial examples, one is the separation of azeotropic mixture of dimethyl carbonate and methanol, the other is the separation of azeotropic mixture of isopropanol and water.

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The strongest link: Tasman Networks reaps benefits from a solid supply chain partnership strategy.: An article from: Industrial Engineer

The strongest link: Tasman Networks reaps benefits from a solid supply chain partnership strategy.: An article from: Industrial Engineer Review










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Overviews

This digital document is an article from Industrial Engineer, published by Institute of Industrial Engineers, Inc. (IIE) on August 1, 2004. The length of the article is 2029 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: The strongest link: Tasman Networks reaps benefits from a solid supply chain partnership strategy.
Author: K.C. Venugopal
Publication:Industrial Engineer (Refereed)
Date: August 1, 2004
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: 36 Issue: 8 Page: 34(5)

Distributed by Thomson Gale

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