A hybrid hierarchical soft computing approach for the technology selection problem in brick industry considering environmental competencies: A case study

Solgi, Ehsan; Husseini, S.M. Moattar; Ahmadi, Abbas; Gitinavard, Hossein

doi:10.1016/j.jenvman.2019.06.120

Cited by 24 publications

(10 citation statements)

References 40 publications

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“…In the textile industry distinctive works show that multicore CPU/GPU architectures and parallel computing are mainly employed for tasks like (virtual try-on) cloth simulation, clothcloth collision detection (Tang et al, 2013;Vassilev, 2016), cloth animation (Xue et al, 2017;Zang et al, 2018), authoring and simulating of cloth or garment patterns (Leaf et al, 2018); see (Figure 12). In the manufacturing sector, parallel algorithms are employed for tasks like dynamic production planning and cycle time forecasting (Nakamura et al, 2017;Tan et al, 2020;, or evaluation and ranking of alternative technologies on the basis of economic and technological criteria (Solgi et al, 2019). The main focus, though, of current research lies on the evolving technology of additive manufacturing.…”

Section: Collaborative Robots Complex Robotic Cells Interconnection and Safety Issuesmentioning

confidence: 99%

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

Jimeno-Morenilla

Azariadis

Molina-Carmona

et al. 2021

Computers in Industry

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The traditional manufacturing sectors (footwear, textiles and clothing, furniture and toys, among others) are based on small and medium enterprises with limited capacity on investing in modern production technologies. Although these sectors rely heavily on product customization and short manufacturing cycles, they are still not able to take full advantage of the fourth industrial revolution. Industry 4.0 surfaced to address the current challenges of shorter product life-cycles, highly customized products and stiff global competition. The new manufacturing paradigm supports the development of modular factory structures within a computerized Internet of Things environment. With Industry 4.0, rigid planning and production processes can be revolutionized. However, the computerization of manufacturing has a high degree of complexity and its implementation tends to be expensive, which goes against the reality of SMEs that power the traditional sectors. This paper reviews the main scientific-technological advances that have been developed in recent years in traditional sectors with the aim of facilitating the transition to the new industry standard.

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Section: Collaborative Robots Complex Robotic Cells Interconnection and Safety Issuesmentioning

confidence: 99%

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

Jimeno-Morenilla

Azariadis

Molina-Carmona

et al. 2021

Computers in Industry

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“…So far, several tools and methods have been proposed for solving performance evaluation problems using multi-criteria decision making (MCDM) methods (Hassan et al, 2016). For example, Analytical Hierarchy Process (AHP) model (Sohrabvandi et al, 2017), ANP method (Saaty, 1996), DEMATEL method (Gabus & Fontela, 1972;Solgi et al, 2019), and etc. are developed regarding the precise information.…”

Section: Introductionmentioning

confidence: 99%

Importance-Performance Analysis Based Balanced Scorecard for Performance Evaluation in Higher Education Institutions: An Integrated Fuzzy Approach

Nazari-Shirkouhi

Mousakhani

Tavakoli

et al. 2020

Journal of Business Economics and Management

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Recognizing the state of the universities and disrupting their functions by performance evaluation helps them adopt more appropriate educational, research and institutional policies to conduct a university system. In this paper, the importance of the services provided and the activities of the university are determined by means of the balanced scorecard (BSC) approach, and the performance assessment structure is implemented based on an integrated fuzzy multi-criteria decision making (MCDM) approach. For this purpose, interdependencies between BSC aspects and effective indicators weight are determined by Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) and Fuzzy Analytic Network Process (FANP) methods, respectively. Accordingly, the final weight of the effective indexes on the performance evaluation of university is presented and the educational income is recognized as one of the most important indicators. Finally, the priorities of universities are specified in order to improve the performance and policy making by the importance-performance analysis (IPA). Therefore, the growth of the number of students should be considered as one of the most important stages in improving university performance in the future in order to achieve educational income. Moreover, the guidelines for universities and higher education institutions are presented to identify key factors in implementing and improving performance.

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“…The energy savings efforts that have been adopted in most human activities have affected the brick production process as well. The current efforts therefore aim at an optimization of processes or material base to make brick production more efficient, cost effective, and environmentally-friendly [13,14]. For instance, Refaey et al [15] investigated the effects of brick setting arrangement, guide vane tape, or heat flow parameters on thermal performance of a kiln to optimize the cooling process.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Computational Study of Thermal Processes in Red Clays Exposed to High Temperatures

et al. 2020

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Fired bricks represent one of the most popular building materials, of which production is still growing. Since the functional properties of bricks have reached their physical limits, the current development aims at an optimization of production procedures as it goes along with heavy environmental loads. This paper is focused on tailoring the firing procedure to optimize the energy demands. Dealing with five different clays, their heat storage properties are determined using inverse analysis of calorimetric data so that the measurement errors are reduced. Moreover, effective values incorporate the thermal processes that occur during firing. A simplified model of clay samples is then used to calculate the energy demands for reaching an optimal firing scheme. The results show that specific treatment is necessary for particular clays as the energy demands may range between 89 and 173 MJ·m−2, depending on a clay composition. The highest demands were found in the case of clays containing the high volume of calcite and dolomite, of which thermal decomposition is very energy demanding. Using the tailored firing scheme, one can reach energy savings of up to 49% while the functional properties would be preserved due to maintaining the optimal temperature evolution in the brick body.

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A hybrid hierarchical soft computing approach for the technology selection problem in brick industry considering environmental competencies: A case study

Cited by 24 publications

References 40 publications

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

Importance-Performance Analysis Based Balanced Scorecard for Performance Evaluation in Higher Education Institutions: An Integrated Fuzzy Approach

Experimental and Computational Study of Thermal Processes in Red Clays Exposed to High Temperatures

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