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A chance-constrained goal programming model to evaluate response resources for marine pollution disasters. Research report

TLDR
In this article, the authors developed a model to aid Coast Guard managers in formulating appropriate policies with respect to planning for various types of equipment required to contain major pollution incidents and elaborated in terms of three primary stages of response: offloading, containment, and removal.
Abstract
This paper develops a model to aid Coast Guard managers in formulating appropriate policies with respect to planning for various types of equipment required to contain major pollution incidents The model is elaborated in terms of three primary stages of response: offloading, containment, and removal The zero order rule of chance-constrained programming is used to obtain a deterministic equivalent of the original chance-constrained model This is then replaced by a goal programming formulation to allow for plans that come 'as close as possible' to desired quality and risk levels for each pertinent region and type of incident Numerical examples illustrate potential uses of the model with special emphasis on its value for budgetary (equipment) planning by central management that extends to evaluation of risk and performance quality levels, as well as the usual dual evaluator approaches for evaluating initially prescribed levels of equipment and their efficiency coefficients (Author)

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Citations
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Optimization models in emergency logistics: A literature review

TL;DR: Using techniques of content analysis, this paper reviews optimization models utilized in emergency logistics and identifies research gaps identified and future research directions are proposed.
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Performance analysis of US coal-fired power plants by measuring three DEA efficiencies

TL;DR: In this paper, the authors proposed a new DEA approach to evaluate the operational, environmental and both-unified performance of coal-fired power plants that are currently operating under the US Clean Air Act (CAA).
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A method for solving fuzzy goal programming problems based on MINMAX approach

TL;DR: It is proved that the proposed model is an extension to Hannan model that deals with unbalanced triangular linear membership functions and it is shown that the new model is equivalent to a model proposed in 1991 by Yang et al.
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Returns to scale vs. damages to scale in data envelopment analysis: An impact of U.S. clean air act on coal-fired power plants

TL;DR: In this article, the authors proposed a use of Data Envelopment Analysis (DEA) to measure returns to scale (RTS) of US coal-fired power plants.
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A Partial Covering Approach to Siting Response Resources for Major Maritime Oil Spills

TL;DR: In this article, a partial set covering model is applied to the problem of locating oil spill response equipment on Long Island Sound, and implications for public policy are discussed in this context, although employed in a resource constrained mode, can also be used in a budget-constrained mode.
References
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Journal ArticleDOI

Chance-Constrained Programming

TL;DR: The paper presents a method of attack which splits the problem into two non-linear or linear programming parts, i determining optimal probability distributions, ii approximating the optimal distributions as closely as possible by decision rules of prescribed form.
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Deterministic Equivalents for Optimizing and Satisficing under Chance Constraints

TL;DR: In this paper, the existence of deterministic equivalents for a general class of linear decision rules under the following three classes of objectives 1 maximum expected value (E model), 2 minimum variance (V model), and 3 maximum probability (P model) was established.
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Goal programming and multiple objective optimizations: Part 1

TL;DR: A survey of recent developments in goal programming and multiple objective optimizations can be found in this paper with emphasis on the authors' own work (with others) in a variety of applications.
Journal ArticleDOI

Cost Horizons and Certainty Equivalents: An Approach to Stochastic Programming of Heating Oil

TL;DR: In this paper, an integrated series of operations research studies directed toward improvement in such scheduling methods is presented. But the focus is on essentials of the mathematical model and other phases of the OR studies are brought in only as required.
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