For benchmarking, a petroleum refining company is interested in how different market scenarios affect their competitors. This thesis is a feasibility study for the use of a multi-objective linear programming (MOLP) mo...
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For benchmarking, a petroleum refining company is interested in how different market scenarios affect their competitors. This thesis is a feasibility study for the use of a multi-objective linear programming (MOLP) model for analyzing the impact of market prices on competing petroleum refineries. linearprogramming (LP) models are widely used for optimizing petroleum refin- ery operation. The existing LP models can be utilized in the design of a MOLP model which makes it a particuarly desired model type. MOLP is a method for solving linear problems where multiple conflicting objective functions are opti- mized simultaneously. In this case, the different objective functions depict the profits of competing companies. Since there are several decision makers, this problem is different from those that have been extensively studied in open liter- ature. In this thesis, a MOLP model labeled the Refinery Ranking Model (RRM) is de- signed. The user sets the market parameters for the RRM which then determines the optimal purchases and sales for each refining company. The results indicate that MOLP can be used to analyze the market dynamics of competing refining companies. The RRM could be expanded to include dozens of refineries and still describe their detailed behavior well and with a very reasonable solution time.
This paper deals with developing an efficient algorithm for solving the fully fuzzy linear fractional programming problem. To this end, we construct a new method which is obtained from combination of Charnes-Cooper sc...
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This paper deals with developing an efficient algorithm for solving the fully fuzzy linear fractional programming problem. To this end, we construct a new method which is obtained from combination of Charnes-Cooper scheme and the multi-objective linear programming problem. Furthermore, the application of the proposed method in real life problems is presented and this method is compared with some existing methods. The numerical experiments and comparative results presented promising results to find the fuzzy optimal solution.
In this paper we consider a production plan optimization problem for a company that produces textile products. The problem is solved using two iterative methods: a new method based on the cooperative game theory (MP m...
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In this paper we consider a production plan optimization problem for a company that produces textile products. The problem is solved using two iterative methods: a new method based on the cooperative game theory (MP method) and the well-known STEM method. Their application efficiency and the solutions obtained are compared. For this purpose we use four groups of criteria: (1) the general characteristics of the method (2) the criteria from the standpoint of the decision makers, (3) the criteria from the perspective of the analysts, and (4) the 'economic' criteria. The analysis indicates that both methods are highly efficient for solving this kind of production plan optimization problems. However, the decision-makers preferred the MP method.
The distribution network with a large number of distributed generator (DG) puts forward higher requirements for coordinated control of voltage / reactive power. Secondary voltage control is an effective method to impr...
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ISBN:
(纸本)9781538614273
The distribution network with a large number of distributed generator (DG) puts forward higher requirements for coordinated control of voltage / reactive power. Secondary voltage control is an effective method to improve distribution network voltage level under the condition of high permeable DG. Based on the basic principle of the secondary voltage control, multi-objective linear programming method is used to solve the contradiction between the safety and the economy of the distribution network, and the optimization goal construction, control strategy selection and control process realization are introduced respectively. The simulation results show that the voltage stability of the distribution network with high permeable DG can be solved by the secondary voltage control based on the multi-objectiveprogramming..
This paper discusses a mechanism for the allocation of resources among a set of decision making units (DMUs) which are managed by a centralized control unit in an organization. Data envelopment analysis (DEA) and mult...
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This paper discusses a mechanism for the allocation of resources among a set of decision making units (DMUs) which are managed by a centralized control unit in an organization. Data envelopment analysis (DEA) and multi-objective linear programming (MOLP) are integrated to deal with this resource allocation problem. Also, context-dependent DEA is introduced to identify the changed production possibility set after resource allocation, which determines the production plans that are feasible with input increase or decrease in general. For the centralized unit, the MOLP approach is proposed to simultaneously maximize total output and effectiveness while minimizing the total allocated variable input consumption. Among these objectives, the effectiveness is determined by the output growth rate for all DMUs, which can reflect the effects obtained by allocating the input resources that are not used up, such as new equipment. In addition, we restrict the production of limited resources to the new most productive scale size (MPSS) region where the DMUs have the best economic characteristics. Finally, an example is employed to illustrate the approach. (C) 2016 Published by Elsevier Ltd.
This paper deals with the robustness issue in deterministic multi-objective linear programming from two new standpoints. It is shown that a robustness notion recently reported in the literature is equivalent to strict...
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This paper deals with the robustness issue in deterministic multi-objective linear programming from two new standpoints. It is shown that a robustness notion recently reported in the literature is equivalent to strict efficiency. Corresponding to an efficient solution, a new quantity, robustness order (RO) is defined with respect to the interiority order of the cost matrix in the binding cone. A linearprogramming problem is provided to calculate the RO of a given efficient solution. The second part of the paper is devoted to investigating the robustness with respect to the eligible angle deviation of the cost matrix in the binding cone. Theoretical results are given to obtain the maximum eligible angle deviation. Finally, the relationship between two above-mentioned robustness standpoints is established. To have a better geometrical view, we prove the results for single-objective LP problems at first, and then we extend them to the multi-objective case. In addition to the theoretical results, some clarifying examples are given.
The low-carbon supply chain is one of the predominant topics towards a green economy and it establishes the opportunity to reduce carbon emissions across the product value chain. This paper focuses on recycling and op...
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The low-carbon supply chain is one of the predominant topics towards a green economy and it establishes the opportunity to reduce carbon emissions across the product value chain. This paper focuses on recycling and optimized sourcing in the paper industry as a case company. The main objective is to engage the case company with their supplier networks to diminish the greenhouse gases (GHG) emissions and cost in their production process. It proposes a model to support the selection of the best green supplier and an allocation of order among the potential suppliers. The proposed model contains a two-phase hybrid approach. The first phase presents the rating and selection of potential suppliers by considering economics (cost), operational factors (quality and delivery), and environmental criteria (recycle capability and GHG emission control) using Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) methodology. The second phase presents the order allocation process using multi-objective linear programming in order to minimize cost, material rejection, late delivery, recycle waste and CO2 emissions in the production process. A case study from a paper manufacturing industry is presented to elucidate the effectiveness of the proposed model. The results demonstrate a 26.2% reduction of carbon emission by using recycle products in the production process. The firm benefits by forming a systematic methodology for green supplier evaluation and order allocation. Finally, a conclusion and a suggested direction of future research are introduced.
Distribution network with a large number of distributed generators(DG)puts forward higher requirements for coordinated control of voltage and reactive *** coordinated voltage control is an effective method to improve ...
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Distribution network with a large number of distributed generators(DG)puts forward higher requirements for coordinated control of voltage and reactive *** coordinated voltage control is an effective method to improve distribution network voltage level under the condition of high permeable *** on the basic principle of the secondary coordinated voltage control,multi-objective linear programming method is used to solve the contradiction between the safety and the economy of the distribution network,and the optimization goal construction,control strategy selection and control process realization are introduced *** simulation results show that the secondary coordinated voltage control based on multi-objectiveprogramming can be used to solve distributed network voltage stability,but also can improve the efficiency of ADN.
This article presents an interactive computational tool for teaching and providing decision support in multi-objective linear programming models. The main aim is to offer students in engineering and economics & ma...
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This article presents an interactive computational tool for teaching and providing decision support in multi-objective linear programming models. The main aim is to offer students in engineering and economics & management a user-friendly environment where the main theoretical and methodological concepts of multi-objective optimization can be apprehended through experimentation. (c) 2014 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:314-326, 2015;View this article online at;DOI
Recently fuzzy interval flexible linear programs have attracted many interests. These models are an extension of the classical linearprogramming which deal with crisp parameters. However, in most of the real-world ap...
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Recently fuzzy interval flexible linear programs have attracted many interests. These models are an extension of the classical linearprogramming which deal with crisp parameters. However, in most of the real-world applications, the nature of the parameters of the decision-making problems are generally imprecise. Such uncertainties can lead to increased complexities in the related optimisation efforts. Simply ignoring these uncertainties is considered undesired as it may result in inferior or wrong decisions. Therefore, inexact linearprogramming methods are desired under uncertainty. In this paper, we concentrate a fuzzy flexible linearprogramming model with flexible constraints and the interval objective function and then propose a new solving approach based on solving an associated multi-objective model. Finally, a numerical example is included to illustrate the mentioned solving process.
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