检索结果-内蒙古大学图书馆

ISMISIP: an inexact stochastic mixed integer linear semi-infinite programming approach for solid waste management and planning under uncertainty

引用

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2008年第6期22卷 759-775页

作者： Guo, P. Huang, G. H. He, L. N China Elect Power Univ Chinese Res Acad Environm Sci Beijing 100012 Peoples R China Univ Regina Environm Syst Engn Program Regina SK S4S 0A2 Canada Univ Regina Ctr Energy & Environm Studies Regina SK S4S 0A2 Canada

An inexact stochastic mixed integer linear semi-infinite programming (ISMISIP) model is developed for municipal solid waste (MSW) management under uncertainty. By incorporating stochastic programming (SP), integer programming and interval semi-infinite programming (ISIP) within a general waste management problem, the model can simultaneously handle programming problems with coefficients expressed as probability distribution functions, intervals and functional intervals. Compared with those inexact programming models without introducing functional interval coefficients, the ISMISIP model has the following advantages that: (1) since parameters are represented as functional intervals, the parameter's dynamic feature (i.e., the constraint should be satisfied under all possible levels within its range) can be reflected, and (2) it is applicable to practical problems as the solution method does not generate more complicated intermediate models (He and Huang, Technical Report, 2004;He et al. J Air Waste Manage Assoc, 2007). Moreover, the ISMISIP model is proposed upon the previous inexact mixed integer linear semi-infinite programming (IMISIP) model by assuming capacities of the landfill, WTE and composting facilities to be stochastic. Thus it has the improved capabilities in (1) identifying schemes regarding to the waste allocation and facility expansions with a minimized system cost and (2) addressing tradeoffs among environmental, economic and system reliability level.

关键词： chance-constrained programming decision making functional interval semi-infinite programming uncertainty

来源：评论

学校读者我要写书评

暂无评论

Enterprise resource planning implementation decision & optimization models

引用

Journal of Systems Engineering and Electronics 2008年第3期19卷 513-521页

作者： Wang Shaojun Wang Gang Lü Min Gao Guoan Advanced Manufacturing Technology Center Harbin Inst. of Technology Harbin 150001 P. R. China

To study the uncertain optimization problems on implementation schedule, time-cost trade-off and quality in enterprise resource planning （ERP） implementation, combined with program evaluation and review technique （PERT）, some optimization models are proposed, which include the implementation schedule model, the timecost trade-off model, the quality model, and the implementation time-cost-quality synthetic optimization model. A PERT-embedded genetic algorithm （GA） based on stochastic simulation technique is introduced to the optimization models solution. Finally, an example is presented to show that the models and algorithm are reasonable and effective, which can offer a reliable quantitative decision method for ERP implementation.

关键词： optimization model ERP chance-constrained programming PERT genetic algorithm time cost,quality.

来源：评论

学校读者我要写书评

暂无评论

Two-echelon supply chain games in a fuzzy environment

引用

COMPUTERS & INDUSTRIAL ENGINEERING 2008年第2期55卷 390-405页

作者： Zhou, Chenxi Zhao, Ruiqing Tang, Wansheng Tianjin Univ Inst Syst Engn Tianjin 300072 Peoples R China

This paper considers a supply chain composed by a manufacturer and a retailer. It is assumed that the supply chain is operated in a fuzzy environment. The fuzziness is associated with the customer's demand and the manufacturing cost. Two different game structures of the supply chain are considered: the manufacturer and the retailer cooperate with each other and behave as an integrated-firm;the manufacturer behaving as a Stackelberg leader dominates the supply chain. Expected value models as well as chance-constramed programming models are developed to determine the pricing strategies for the retailer and the manufacturer. Finally, a numerical example is given to illustrate the effectiveness of the proposed supply chain models. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： Supply chain models Stackelberg game chance-constrained programming Fuzzy variable

来源：评论

学校读者我要写书评

暂无评论

A multiple-realizations chance-constrained model for optimizing nutrient removal in constructed wetlands

引用

WATER RESOURCES RESEARCH 2008年第4期44卷

作者： Ng, Tze Ling Eheart, J. Wayland Univ Illinois Dept Civil & Environm Engn Urbana IL 61801 USA

High nutrient loads in surface waters are a cause of hypoxia in coastal ecosystems. Constructed wetlands offer a means of nutrient removal, but their design is complicated by environmental fluctuations. In the present work, a chance-constrained model is developed on the basis of satisfying performance constraints for a subset of the period of hydrologic and meteorological record. The model incorporates a nonsteady state wetland model and is used to determine the most cost-efficient wetland design given the nutrient removal requirements. Three candidate wetlands are considered. For two of them a comparison is made between operating the wetlands individually versus operating them concurrently. Results show that the factors limiting wetland performance are low flow availability and low inflow nutrient concentrations. Further, for the case considered, a two-wetland design is found to be more cost-effective than a single-wetland design. On average, wetlands have huge potential for nutrient removal but have a higher risk of failure than conventional treatment and could, under unfavorable conditions, be more expensive.

关键词： constructed wetlands chance-constrained programming nutrient removal nitrate phosphorus hypoxia

来源：评论

学校读者我要写书评

暂无评论

ITCLP: An inexact two-stage chance-constrained program for planning waste management systems

引用

RESOURCES CONSERVATION AND RECYCLING 2007年第3期49卷 284-307页

作者： Li, Y. P. Huang, G. H. Nie, S. L. Qin, X. S. Univ Regina Fac Engn Environm Syst Engn Program Regina SK S4S 0A2 Canada N China Elect Power Univ Sino Canada Ctr Energy & Environm Res Beijing 102206 Peoples R China Hunan Univ Changsha 410082 Peoples R China Univ Regina Regina SK S4S 0A2 Canada Huazhong Univ Sci & Technol Sch Mech Sci & Engn Hubei 430074 Peoples R China

An inexact two-stage chance-constrained linear programming (ITCLP) method is developed for planning waste management systems. The model is derived by incorporating the techniques of two-stage and chance-constrained programming within a general interval-optimization framework. It can tackle uncertainties presented as both probability distributions and discrete intervals. Moreover, it can be used for analyzing various policy scenarios that are associated with different levels of economic penalties when the promised policy targets are violated. It can also help examine the reliability of satisfying (or risk of violating) system constraints under uncertainty. The developed method is applied to a case of long-term waste management planning. Interval solutions associated different risk levels of constraint violation are obtained. They can be used for generating decision alternatives and thus help waste managers to identify desired policies under various environmental, economic, and system-reliability constraints. (c) 2006 Elsevier B.V. All rights reserved.

关键词： chance-constrained programming decision environment interval optimization planning solid waste stochastic two-stage uncertainty

来源：评论

学校读者我要写书评

暂无评论

Decoupled approach to multidisciplinary design optimization under uncertainty

引用

OPTIMIZATION AND ENGINEERING 2007年第1期8卷 21-42页

作者： Chiralaksanakul, Anukal Mahadevan, Sankaran Vanderbilt Univ Nashville TN 37235 USA

We propose solution methods for multidisciplinary design optimization (MDO) under uncertainty. This is a class of stochastic optimization problems that engineers are often faced with in a realistic design process of complex systems. Our approach integrates solution methods for reliability-based design optimization (RBDO) with solution methods for deterministic MDO problems. The integration is enabled by the use of a deterministic equivalent formulation and the first order Taylor's approximation in these RBDO methods. We discuss three specific combinations: the RBDO methods with the multidisciplinary feasibility method, the all-at-once method, and the individual disciplinary feasibility method. Numerical examples are provided to demonstrate the procedure.

关键词： multidisciplinary systems reliability design optimization stochastic optimization chance-constrained programming

来源：评论

学校读者我要写书评

暂无评论

Vendor performance with supply risk: A chance-constrained DEA approach

引用

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 2006年第2期100卷 212-222页

作者： Talluri, S Narasimhan, R Nair, A Michigan State Univ Dept Marketing & Supply Chain Management Eli Braod Coll Business E Lansing MI 48824 USA Business Complex E Lansing MI 48824 USA Auburn Univ Coll Business Auburn AL 36849 USA

The strategic importance of vendor evaluation is well established in the purchasing literature. Several evaluation methodologies that consider multiple performance attributes have been proposed for vendor evaluation purposes. While these techniques range from scoring models that utilize prior articulation of weights to derive composite scores for vendors to advanced mathematical models, methods that incorporate the inherent variability in vendor's performance attributes have been limited. The primary reason for the lack of development of such models is due to the complexities associated with stochastic approaches. In order to more accurately evaluate the performance of vendors, it is critical to consider variability in vendor attributes. This paper is an attempt to fill this void in vendor evaluation models by presenting a chance-constrained data envelopment analysis (CCDEA) approach in the presence of multiple performance measures that are uncertain. Our paper effectively demonstrates the first application of CCDEA in the area of purchasing, in general, and vendor evaluation, in particular. The model is demonstrated by applying it to a previously reported dataset from a pharmaceutical company. (c) 2004 Elsevier B.V. All rights reserved.

关键词： chance-constrained programming non-linear programming purchasing stochastic data envelopment analysis

来源：评论

学校读者我要写书评

暂无评论

Impact of budget uncertainty on project time-cost tradeoff

引用

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 2005年第2期52卷 167-174页

作者： Yang, IT Tamkang Univ Dept Civil Engn Taipei 251 Taiwan

Any project has to be supported financially. The budget allocated to the project, however, is subject to uncertainty due to various financial, market, and political risks. The present paper incorporates budget uncertainty into project time-cost tradeoff. The proposed model formulates financial feasibility as a stochastic constraint, transforms it into a deterministic equivalent in the case of normal, beta, or triangular distribution, and solves the equivalent accordingly. The direct result is a minimum time-cost curve, which relates the shortest project duration to different levels of budget. The present study shows that a higher degree of budget uncertainty represents a tighter financial constraint and, thus, needs extra contingency duration. Moreover, if the financial constraint has to be met at a higher probability level, extra contingency costs are necessary to ensure an on-time completion. An actual remodeling project is used to demonstrate the application.

关键词： chance-constrained programming project management risk analysis statistical estimation time-cost tradeoff

来源：评论

学校读者我要写书评

暂无评论

chance-constrained optimization of pumping in coastal aquifers by stochastic boundary element method and genetic algorithm

引用

CMC-COMPUTERS MATERIALS & CONTINUA 2005年第2期2卷 85-96页

作者： Amaziane, B Naji, A Ouazar, D Cheng, AHD Univ Pau LMA FRE2570 CNRSIPRA F-64000 Pau France Univ Abdelmalek Essaadi MASE Fac Sci & Tech Tangier Morocco Univ Mohammed 5 Ecole Mohammadia Ingn LASH Rabat Morocco Univ Mississippi Dept Civil Engn University MS 38677 USA

In this paper the optimization of ground-water pumping in coastal aquifers under the threat of saltwater intrusion is investigated. The aquifer is inhomogeneous and contains several hydraulic conductivities zones. The aquifer data such as the hydraulic conductivities are uncertain, but with their expected mean and standard deviation values given. A stochastic boundary element method based on the perturbation technique is employed as the simulation tool. The stochastic optimization is handled by the chance-constrained programming. Genetic algorithm is selected as the optimization tool. Numerical examples of deterministic and stochastic problems are provided to demonstrate the feasibility of the proposed schemes.

关键词： saltwater intrusion optimization uncertainty modeling boundary element method stochastic boundary element method genetic algorithm chance-constrained programming

来源：评论

学校读者我要写书评

暂无评论

chance-constrained programming in activity networks: A critical evaluation

引用

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2001年第2期131卷 440-458页

作者： Elmaghraby, SE Soewandi, H Yao, MJ N Carolina State Univ Coll Engn Dept Ind Engn Raleigh NC 27695 USA N Carolina State Univ Coll Engn Grad Program Operat Res Raleigh NC 27695 USA Microstrategy Incorp Vienna VA 22182 USA Tunghai Univ Dept Ind Engn Taichung 407 Taiwan

We review the chance-constrained programming (CCP) model for event realization in activity networks (ANs), and the more recent contribution to it by Kress, from the points of view of validity and accuracy. We present a classification scheme of stochastic programming and confirm that the CCP does not solve the problem of finding a point estimate that satisfies a required confidence level, and is of little help in determining the cumulative distribution function (c,d.f,) of the project completion time. We show that the CCP leads to an extremely weak lower bound (I.b.) on the exact c.d.f. A backtracking approach is proposed that improves this l.b. via the CCP, which is still too weak to be of any practical value. Finally, we utilize the CCP approach to derive a result due to Kress in a simpler and more direct way. We also demonstrate that the result itself. unfortunately, is of questionable validity. (C) 2001 Elsevier Science B,V, Ah rights reserved.

关键词： activity networks chance-constrained programming

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：