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  • Articles  (2,663)
  • Latest Papers from Table of Contents or Articles in Press  (2,663)
  • Articles: DFG German National Licenses
  • Springer  (2,663)
  • American Chemical Society (ACS)
  • 2020-2024  (12)
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  • Annals of Operations Research  (888)
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  • Articles  (2,663)
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  • Latest Papers from Table of Contents or Articles in Press  (2,663)
  • Articles: DFG German National Licenses
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  • Springer  (2,663)
  • American Chemical Society (ACS)
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  • 1
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    Simulating Indonesian fuel subsidy reform: a social accounting matrix analysis (2015)
    Springer
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    Publication Date: 2015-08-11
    Description: The debate over phasing out fuel subsidies in Indonesia is quite intense. Recent studies pointed out an unfair distribution of subsidies. Besides this, the burden of fuel subsidies to Indonesian government is expected to increasingly continue in parallel with rising fuel consumption as well as international oil prices. However, recent experiences indicated that phasing out the fuel subsidy could potentially result in adverse effects in the economy. Then, the need for comprehensive economy-wide analyses in order to reveal diverse impacts of these subsidies, has emerged. The main objective of this study is to estimate the impacts of fuel subsidies from the economic, social, and environmental perspective, and to propose policy options for a subsidy reform. For this purpose, a social accounting matrix model is employed to simulate the impact analysis. Scenarios including reallocation of subsidy to either other sectors (sectoral subsidy) or income groups (target subsidy) are simulated and the social, economic and environmental impacts of these scenarios are presented. The results show that reallocation of fuel subsidy to other sectors will be able to positively increase the overall economic development, while compromising environmental aspects. The direct reallocation of subsidy to the low income households, on the other hand, will slow down overall economic development but show a positive result for social welfare.
    Print ISSN: 0254-5330
    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
    Published by Springer
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  • 2
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    Bayesian decision support for complex systems with many distributed experts (2015)
    Springer
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    Publication Date: 2015-08-12
    Description: Complex decision support systems often consist of component modules which, encoding the judgements of panels of domain experts, describe a particular sub-domain of the overall system. Ideally these modules need to be pasted together to provide a comprehensive picture of the whole process. The challenge of building such an integrated system is that, whilst the overall qualitative features are common knowledge to all, the explicit forecasts and their associated uncertainties are only expressed individually by each panel, resulting from its own analysis. The structure of the integrated system therefore needs to facilitate the coherent piecing together of these separate evaluations. If such a system is not available there is a serious danger that this might drive decision makers to incoherent and so indefensible policy choices. In this paper we develop a graphically based framework which embeds a set of conditions, consisting of the agreement usually made in practice of certain probability and utility models, that, if satisfied in a given context, are sufficient to ensure the composite system is truly coherent. Furthermore, we develop new message passing algorithms entailing the transmission of expected utility scores between the panels, that enable the uncertainties within each module to be fully accounted for in the evaluation of the available alternatives in these composite systems.
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    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
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  • 3
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    Incorporating neighborhood reduction for the solution of the planar p -median problem (2015)
    Springer
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    Publication Date: 2015-08-13
    Description: Two efficient neighborhood reduction schemes are proposed for the solution of the p -median problem on the plane. Their integration into a local search significantly reduces the run time with an insignificant deterioration in the quality of the solution. For completeness this fast local search is also embedded into one of the most powerful metaheuristic algorithms, which is a combination of a genetic algorithm and a new improvement algorithm, recently developed for this continuous location problem. Excellent results for instances with up to 1060 demand points with various values of p are reported. Eight new best known solutions for ten instances of a large problem with 3038 demand points and up to 500 facilities are also found.
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    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
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  • 4
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    Stochastic models for unit-load operations in warehouse systems with autonomous vehicles (2015)
    Springer
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    Publication Date: 2015-07-30
    Description: This paper presents stochastic models for multi-tier warehouse systems that handle unit load transactions using autonomous vehicle-based technology. In this system, self-powered autonomous vehicles carry out unit-load transactions by moving along rails within a tier and using lifts or conveyors for vertical movement between tiers. We develop semi-open queuing network models to evaluate congestion effects in processing storage and retrieval transactions in this system. The queuing network is evaluated using a decomposition-based approach. The queuing model provides design insights on the effect of vehicle interference and vertical transfer mechanism on various system performance measures of interest. Insights from such studies can be especially useful during the conceptualization stage of warehouses that use autonomous vehicle technology.
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    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
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  • 5
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    Continuous material flow systems: analysis of marine ports handling bulk materials (2015)
    Springer
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    Publication Date: 2015-07-30
    Description: Continuous material flow systems operating in bulk port marine terminals give rise to networks of mineral flows through nodes experiencing random stoppages. Material arrives at the system via trains and departs from the system via ships. Operational aspects of the material flow are quite varied and complicated. Therefore, a decomposition approximation method is proposed to study the steady-state behavior of the system to produce performance measures such as the long run pile levels, down time probabilities and the system throughput. Pseudo failure and repair rates of the subsystems are obtained and the subsystems are studied within an iterative algorithm. Numerical examples are provided.
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    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
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  • 6
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    Emerging production optimization issues in supply chain systems (2015)
    Springer
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    Publication Date: 2015-08-04
    Description: Today’s business environment is very different from that of the past. New and innovative measures need to be found in order to optimize production and operations management in supply chain systems. Several emerging issues, such as risk and uncertainty management, environmental sustainability, optimal strategies under competition, sophisticated incentive alignment schemes, and optimal operations with strategic consumer behaviors, are critical to the success of modern supply chain management. This introduction provides a concise review of these critical research issues and introduces the related papers featured in this special volume.
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    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
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  • 7
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    Robust control of the multi-armed bandit problem (2015)
    Springer
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    Publication Date: 2015-08-21
    Description: We study a robust model of the multi-armed bandit (MAB) problem in which the transition probabilities are ambiguous and belong to subsets of the probability simplex. We first show that for each arm there exists a robust counterpart of the Gittins index that is the solution to a robust optimal stopping-time problem and can be computed effectively with an equivalent restart problem. We then characterize the optimal policy of the robust MAB as a project-by-project retirement policy but we show that arms become dependent so the policy based on the robust Gittins index is not optimal. For a project selection problem, we show that the robust Gittins index policy is near optimal but its implementation requires more computational effort than solving a non-robust MAB problem. Hence, we propose a Lagrangian index policy that requires the same computational effort as evaluating the indices of a non-robust MAB and is within 1 % of the optimum in the robust project selection problem.
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    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
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  • 8
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    Goal programming model for management accounting and auditing: a new typology (2015)
    Springer
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    Publication Date: 2015-08-22
    Description: In practice, generally the accountants are facing complex decision-making situations where they aggregate simultaneously several conflicting and incommensurable factors (dimensions). They look for the decision of the best compromise. The goal programming (GP) is one of the multi-criteria decision aid models that have been applied to the field of accounting. The aim of this paper is to provide an exhaustive literature review of the GP application within the field of accounting and to propose a new typology which serves as a guideline for the accountants to identify the most appropriate variant of GP to deal with specific accounting related decision making situation.
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    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
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  • 9
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    Nearest neighbors methods for support vector machines (2015)
    Springer
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    Publication Date: 2015-08-22
    Description: A key issue in the practical applicability of the support vector machine methodology is the identification of the support vectors in very large data sets, a problem to which a great deal of attention has been given in the literature. In the present article we propose methods based on sampling and nearest neighbors, that allow for an efficient implementation of an approximate solution to the classification problem and, at least in some problems, will help in identifying a significant fraction of the support vectors in large data sets at low cost. The performance of the proposed method is evaluated in different examples and some of its theoretical properties are discussed.
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    Topics: Mathematics , Economics
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  • 10
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    Determining radial efficiency with a large data set by solving small-size linear programs (2015)
    Springer
    Details
    Publication Date: 2015-08-23
    Description: This paper presents a new algorithm for determining radial efficiency with a large data set by using small-size linear programs (LPs). Instead of trying to “reduce” the size of individual LPs, the proposed algorithm attempts to “control” the size of individual LPs, e.g., no more than 100 data points each time while maintaining the solution quality. The algorithm is specifically designed to address the problem of LP size limitation. From the empirical results, we conclude that the proposed algorithm can converge within a reasonable number of iterations without incurring extra computation time and has savings of up to 60 % of the benchmarks when the data set contains 15,000 points.
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    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
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