High freight and passenger-carrying capacity, providing a fast and safe journey, and its tourism potential, railway transportation remains preferable among transportation types. Many personnel perform different tasks ...
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High freight and passenger-carrying capacity, providing a fast and safe journey, and its tourism potential, railway transportation remains preferable among transportation types. Many personnel perform different tasks such as operation, administration, maintenance, security, and cleaning on the railways to provide an excellent service to the passengers. These personnel are among the most critical parts of the railway system in infrastructure, passenger, and freight transport. This study aims to create a schedule by using mathematical methods for the personnel working in the railway system. The goal programming method, which enables to achieve more than one goal simultaneously, was used to solve the problem. It is planned to create the most appropriate and efficient work plan by analyzing the work, task distribution, and shift schedules of the personnel working on the high-speed railway (HSR) Ankara-Istanbul line. The 28 day team schedule, which aims to distribute the duties of the staff equally, includes the distribution of the teams and the creation of tours for a total of sixteen daily trips. 225 crew working between Ankara-Istanbul and Istanbul-Ankara were formed. We gathered a fair schedule for the crew, and we increased the satisfaction level of the personnel. While all this is being done, the business requests were met.
There have been significant advances in the theory of goal programming (GP) in recent years, particularly in the area of intelligent modelling and solution analysis. The intention of this paper is to provide an overvi...
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There have been significant advances in the theory of goal programming (GP) in recent years, particularly in the area of intelligent modelling and solution analysis. The intention of this paper is to provide an overview of these developments, to detail and assess the current state-of-the-art in the subject, and to highlight areas which seem promising for future research. Modelling techniques such as detection and restoration of pareto efficiency, normalisation, redundancy checking, and non-standard utility function modelling are overviewed. The connection between GP and other multiobjective-programming techniques as well as a utility interpretation of GP are examined. The rationality of ranking Multi-Criteria Decision Making techniques, and of placing GP in such a ranking, is discussed. (C) 1998 Elsevier Science B.V. All rights reserved.
The literature on multiple objective programming contains numerous examples in which goal programming is used to plan a selection of inputs to secure desired outputs that will conform 'as closely as possible' ...
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The literature on multiple objective programming contains numerous examples in which goal programming is used to plan a selection of inputs to secure desired outputs that will conform 'as closely as possible' to a collection of (possibly conflicting) objectives. In this paper the orientation is changed from selection to evaluation and the dual variables associated with goal programming are brought into play for this purpose. The body of the paper is devoted to an example in portfolio planning modelled along lines like those used by Konno and Yamazaki where closeness to risk and return objective is measured in sums of absolute deviations. An appendix then shows how such a use of dual variables may be applied to evaluate least absolute value (LAV) regressions relative to their sensitivity to data variations. Simple numerical examples are used to illustrate the potential uses of these dual variable values for evaluation in more complex situations that include determining whether an efficiency frontier has been attained. (C) 1997 Elsevier Science B.V.
One of the benefits of implementing transportation infrastructure projects is the maximization of network accessibility performance, so that system users' mobility is optimized. However, infrastructure investment ...
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One of the benefits of implementing transportation infrastructure projects is the maximization of network accessibility performance, so that system users' mobility is optimized. However, infrastructure investment decisions rarely consider stakeholders' preferences to network performance measures and the impact of project selection and prioritization on the network accessibility performance. This paper presents a goal programming framework that considers network accessibility performance and the total cost of road infrastructure projects or project bundles to prioritize investments, taking into account stakeholders' preferences to the performance criteria. Results of the case study using the low-volume road (LVR) network showed that the accessibility benefits of LVR projects depend on their relative spatial location in the network, their total project cost, target performance goals, and stakeholders' preferences to performance criteria. The study results also showed that LVR projects could maximize network accessibility even after the occurrence of network disruption events. Therefore, the proposed framework could help the decision-makers develop efficient infrastructure investment plans to mitigate natural and human-made network disruption events.
We used a goal programming technique to determine the optimal harvest volume for the Iranian Caspian forest. We collected data including volume, growth, wood price at forest roadside, and variable harvesting costs. Th...
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We used a goal programming technique to determine the optimal harvest volume for the Iranian Caspian forest. We collected data including volume, growth, wood price at forest roadside, and variable harvesting costs. The allometric method was used to quantify seques- trated carbon. Regression analysis was used to derive growth models. Expected mean price was estimated using wood price and variable harvesting costs. Questionnaire was used to determine the constraints and the equation coefficients of the goal programming model. The optimal volume was determined using the goal programming method according to multipurpose forest management. LINGO software was used for analysis. Results indicated that the optimum volumes of species were 250.25 ***-1 for beech, 59 ***-1 for hornbeam, 73 ***-1 for oak, 41 ***-1 for alder, and 32 ***-1 for other species. The total optimum volume is 455.25 ***-1.
作者：
Ryan, MJUniv Hull
Dept Econ Kingston Upon Hull HU6 7RX N Humberside England
In this paper a new class of goal programming models are employed to define economies of scale and scope first with reference to distribution models and then with reference to more general linear and nonlinear goal pr...
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In this paper a new class of goal programming models are employed to define economies of scale and scope first with reference to distribution models and then with reference to more general linear and nonlinear goal programming models. Applications to interregional production, regulation and exchange are provided and in every case these models yield "competitive" results as special cases. But in their general form the models and associated results correspond to appropriately regulated market conditions with regulation being determined inter alia by means of appropriate supply and/or demand goal oriented taxes and subsidies. (C) 2002 Elsevier B.V. All rights reserved.
The priority method on the intuitionistic fuzzy preference relation (IFPR) is proposed. In order to avoid the operational difficulty in dealing with the intuitionistic sets, the equivalent interval matrices of the IFP...
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The priority method on the intuitionistic fuzzy preference relation (IFPR) is proposed. In order to avoid the operational difficulty in dealing with the intuitionistic sets, the equivalent interval matrices of the IFPR are introduced. Based on the multiplicative consistent definition of the fuzzy interval preference relation (FIPR), the goal programming models for deriving the priority vector of the IFPR have been put forward by analyzing the relation between the IFNPR and the IFPR. This goal programming method is generalized to the case of group decision making with the weight information defined by each DM. Two numerical examples are provided to illustrate the application of the proposed models. (C) 2009 Elsevier Ltd. All rights reserved.
The study of cognitive biases in decision-making has largely arisen within the context of the subjective expected utility school of decision analysis. Many of the behavioural patterns that have been discovered do seem...
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The study of cognitive biases in decision-making has largely arisen within the context of the subjective expected utility school of decision analysis. Many of the behavioural patterns that have been discovered do seem to be relevant to broader areas of multicriteria decision analysis (MCDA). In this paper, we look specifically at the judgemental inputs required in implementing goal programming ( GP) models. The potential relevance of some of the known cognitive biases in this context are identified, and their impact studied by means of simulation experiments. It is found, inter alia, that biases due to anchoring and adjustment and to avoidance of sure loss can lead to substantial degradation in the performance of GP algorithms. Suggestions for practice and recommendations for follow-up research are derived from the simulation results.
The formulation of the duals of the original goal programming variants took place in the decades following its introduction, principally for computational purposes. However the development of more recent goal Programm...
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The formulation of the duals of the original goal programming variants took place in the decades following its introduction, principally for computational purposes. However the development of more recent goal programming variants has not been matched by the formulation and analysis of their associated duals. This paper furthers the topic of goal programming duality by formulating the duals of a progressive sequence of up to the most recent goal programming models: Weighted, Chebyshev, Extended and Extended Network goal programming models. It interprets the results and shows the insights that the duals can provide, principally by providing an understanding of the interactions between the multiple objectives in each case. The paper concludes with a comparison of the results and shows how the sequence of duals mirrors the sequence of the associated primals.
The aim of this paper is to apply goal programming to select a site for a Fire and Emergency Service station in Sfax region in Tunisia. The decision making process involves incommensurable and conflicting objectives i...
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The aim of this paper is to apply goal programming to select a site for a Fire and Emergency Service station in Sfax region in Tunisia. The decision making process involves incommensurable and conflicting objectives including proximity to industrial firms and response time. The concept of satisfaction function is utilized to explicitly introduce the Decision-Maker's preferences in the decision-making process.
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