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Relevant bibliographies by topics / Technical constraint

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Journal articles

Academic literature on the topic 'Technical constraint'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "Technical constraint"

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Nwokedi, Theophilus C., Donald I. Kalu, Callistus C. Igboanusi, Gbasibo L. Addah, and C. U. Odumodu. "Constraint Theory Approach Analysis of the Nigerian Shipbuilding Industry." LOGI – Scientific Journal on Transport and Logistics 10, no. 1 (2019): 50–61. http://dx.doi.org/10.2478/logi-2019-0006.

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Abstract Nigeria has been unable to develop a viable ship building industry over the years notwithstanding several efforts of government at achieving that. The study aimed to identify and determine the principal component constraints to ship building development in Nigeria. Adopting the theory of constraint approach, survey research design was used in which primary data were obtained from questionnaire responses from employees and management staff of shipyards in the ship building clusters in Lagos, Port-Harcourt and Warri. The data collected were analyzed using principal component factor anal

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Schaefer, Vanessa, João Paulo Augusto Eça, Marcelo Botelho da Costa Moraes, and Amaury José Rezende. "Do financial constraints impact the technical efficiency of agricultural cooperatives? evidence from Brazil." Enfoque: Reflexão Contábil 40, no. 3 (2021): 79–95. http://dx.doi.org/10.4025/enfoque.v40i3.51484.

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Agricultural cooperatives have the main goals of meeting the economic, social and cultural needs of their members. Although they do not seek profits, they must be competitive since they compete with other cooperatives and companies in the market. In this sense, the search for technical efficiency to give cooperatives a better market position contrasts with the difficulty these organizations face in obtaining foreign capital to enable greater investments. There is little empirical evidence, however, of the relationship between financial constraints and technical efficiency in these organization

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Hong, Yu, Jia Lin Guan, and Hong Wei Su. "Does Energy Constraint Facilitate the Japanese Technical Change?" Advanced Materials Research 664 (February 2013): 1166–70. http://dx.doi.org/10.4028/www.scientific.net/amr.664.1166.

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This study challenges the traditional wisdom that soaring energy prices exert negative effects upon economic growth. For an industrialized country with very tight energy supply constraints, increasing energy costs may drive the firms to seek for technical change and innovation to compete internationally. Using the Japanese monthly data ranging from 1975 to 2010, this study tests for the assumption of endogenous cost-driven technical change. We identify a long-run equilibrium co-integrating relationship among the Japanese industrial production, energy prices, export volumes and export prices. A

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STUMPTNER, MARKUS, GERHARD E. FRIEDRICH, and ALOIS HASELBÖCK. "Generative constraint-based configuration of large technical systems." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 12, no. 4 (1998): 307–20. http://dx.doi.org/10.1017/s0890060498124046.

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This paper describes the technical principles and representation behind the constraint-based, automated configurator COCOS. Traditionally, representation methods for technical configuration have focused either on reasoning about structure of systems or quantity of components, which is not satisfactory in many target areas that need both. Starting from general requirements on configuration systems, we have developed an extension of the standard CSP model. The constraint-based approach allows a simple system architecture, and a declarative description of the different types of configuration know

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OSTROWSKI, MAX, and TORSTEN SCHAUB. "ASP modulo CSP: The clingcon system." Theory and Practice of Logic Programming 12, no. 4-5 (2012): 485–503. http://dx.doi.org/10.1017/s1471068412000142.

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AbstractWe present the hybrid ASP solver clingcon, combining the simple modeling language and the high performance Boolean solving capacities of Answer Set Programming (ASP) with techniques for using non-Boolean constraints from the area of Constraint Programming (CP). The new clingcon system features an extended syntax supporting global constraints and optimize statements for constraint variables. The major technical innovation improves the interaction between ASP and CP solver through elaborated learning techniques based on irreducible inconsistent sets. A broad empirical evaluation shows th

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Tang, J., and Q. Zhuang. "Technical Note: Propagating correlations in atmospheric inversions using different Kalman update smoothers." Atmospheric Chemistry and Physics 11, no. 3 (2011): 921–29. http://dx.doi.org/10.5194/acp-11-921-2011.

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Abstract. The scheme to propagate correlations between on-line and off-line state variables in atmospheric inversions using the fixed-lag Kalman smoother proposed in Bruhwiler et al. (2005) is explained as a process to impose a balanced constraint on the on-line state variables. It is then extended to the fixed-lag ensemble square root Kalman smoother and fixed-lag square root sigma-point Kalman smoother, allowing us to treat nonlinear observation operators easily. Further, to constrain the posterior fluxes within their feasible ranges, the constrained fixed-lag Kalman smoother is presented an

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Kehinde, Ayodeji Damilola, and Muyiwa Sunday Olatidoye. "Credit Constraint and Technical Efficiency of Smallholder Cassava Farmers in Osun State, Nigeria." Agricultura 16, no. 1-2 (2019): 27–33. http://dx.doi.org/10.18690/agricultura.16.1-2.27-33.2019.

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This study investigated the effect of credit constraint on technical efficiency of smallholder cassava farmers in Osun State, Nigeria. A structured questionnaire was used to collect primary data from 200 smallholder cassava farmers using a multi-stage sampling procedure. Data collected were analysed using descriptive statistics and stochastic frontier model. Results from the descriptive statistics showed that majority (81%) of the cassava farmers were male with the mean age of 44.1 (±14.9) years. About 86% of the respondents were married with mean household size of 6.9 (±3.5) persons. The resu

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Mayer, Wolfgang, Markus Stumptner, Peter Killisperger, and Georg Grossmann. "A declarative framework for work process configuration." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 25, no. 2 (2011): 143–62. http://dx.doi.org/10.1017/s0890060410000594.

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AbstractThis article describes the technical principles and representation of a constraint-based configuration method for work processes. Methods developed for the configuration of modular systems comprising components have traditionally adopted a representation where the properties and compatibility requirements are expressed as constraints associated with individual components. However, this representation does not accurately capture constraints on paths and subprocesses and is therefore unsuitable for process configuration. This article extends established constraint-based configuration met

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DOS SANTOS PAULINO, VICTOR, and MICHEL CALLOIS. "INNOVATION AND RELIABILITY STRATEGIES IN THE DEFENSE, SPACE AND SEMICONDUCTOR INDUSTRIES: A COMPARATIVE ANALYSIS." International Journal of Innovation Management 14, no. 05 (2010): 795–821. http://dx.doi.org/10.1142/s136391961000288x.

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The objective of this paper is to understand why the pace of technical change has been slower in the defense and space industries than in semiconductors. To answer this question, we adopt an inductive method that exploits historical facts and patent statistics to provide empirical data. Basing our rationale on the appropriation and structural inertia arguments, we show that the constraints imposed by reliability in the defense and space industries impedes the appropriation of supra profits from innovation and thus slows the pace of technical change. The main managerial implication of this resu

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Rosso, Marco M., Raffaele Cucuzza, Fabio Di Trapani, and Giuseppe C. Marano. "Nonpenalty Machine Learning Constraint Handling Using PSO-SVM for Structural Optimization." Advances in Civil Engineering 2021 (February 15, 2021): 1–17. http://dx.doi.org/10.1155/2021/6617750.

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Firstly formulated to solve unconstrained optimization problems, the common way to solve constrained ones with the metaheuristic particle swarm optimization algorithm (PSO) is represented by adopting some penalty functions. In this paper, a new nonpenalty-based constraint handling approach for PSO is implemented, adopting a supervised classification machine learning method, the support vector machine (SVM). Because of its generality, constraint handling with SVM appears more adaptive both to nonlinear and discontinuous boundary. To preserve the feasibility of the population, a simple bisection

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