Mass customization (MC), which is popular in the fashion industry, is proposed to provide customers with products with a high degree of adaptation and a price comparable to a mass product. Both the ...manufacturer and customers can benefit from it. However, how to properly apply the MC strategy when facing challenges in the real world needs more exploration. In this paper, we first review the related operations research literature. Then, we conduct a real case study of a fashion company adopting MC in China. We highlight the challenges and critical successful factors for implementing apparel MC. We identify important technologies in fashion MC systems. We also propose future research opportunities on MC operations in the fashion industry.
This study explored the experiences of the second-year students of Bukidnon State University on their utilization of Symbolab and Photomath applications as formative assessment tools in their ...calculus studies. This study utilized the data source triangulation method in collecting data based on interviews, observation of interaction, and document analysis (Carter, Bryant-Lukosius, DiCenso, Blythe & Neville, 2014). The data were collected through face-to-face and virtual interviews using a semi-structured interview guide. Thematic analysis was utilized for data analysis. Findings revealed four (4) themes: (1) Learning Support in Mathematics, (2) Ethical Use of Math Applications, (3) User-Friendly Math Application Features, and (4) Accessibility and Inclusivity of Math Applications. This study recommends that students and teachers are urged to actively utilize these two (2) applications to enrich their learning experiences and expertise in calculus respectively.
Many journalism professionals and researchers have recently argued that newsrooms adopt "audience engagement" as one of their chief pursuits. Yet those who hope to make audience engagement both ...normative and measurable face enormous barriers to success. Their efforts therefore present an opportunity to learn how journalism is changing, as well as who within the field have the power to change it. This study investigates one such effort with an ethnographic case study of Hearken, a company that offers audience engagement services to news outlets worldwide. Due to news industry confusion surrounding how audience engagement should be defined and measured, Hearken is unable to quantify the benefit of its offerings. Instead, Hearken's pitch to newsrooms relies primarily on appeals to intuition. Drawing on Giddens' structuration theory, it concludes that the gut feelings of individual agents can prove more powerful than the structures constraining them, at least during periods of institutional uncertainty.
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BFBNIB, NUK, PILJ, SAZU, UL, UM, UPUK
AbstractEnsuring the resiliency of critical infrastructures is essential in modern society, but much of the deployed infrastructure has yet to fully leverage modern technical developments. This paper ...intersects two unique fields—deep learning and critical infrastructure protection—and illustrates how deep learning can improve resiliency within the electricity sector. Machine vision is the combination of machine intelligence, or computer systems automatically learning patterns from exemplar data, and image analysis, or objects of interest being automatically segmented and identified from video image data. This technology has the potential to automate threat assessments in the context of securing critical infrastructures. Rather than traditional reactionary approaches, we present here a method of leveraging deep learning for the detection of threats to critical infrastructures before failures occur. This paper discusses the state-of-the-art in deep learning for creating machine vision systems, and the concepts are applied to increase the resiliency of critical infrastructures. The intersection between machine vision and critical infrastructures is discussed, as are key benefits and challenges of invoking such an approach, and examples within several fields of critical infrastructures are presented. Automated inspection of the power infrastructure using vehicle-mounted video acquisition equipment is explored, and a proof-of-concept implementation of a deep convolutional neural network is developed, achieving 95.5% accuracy in distinguishing power-related infrastructures within images largely typical of rural settings. These preliminary results show promise in the application of deep learning and machine vision to protecting critical infrastructures through preventative maintenance.
In this study, the membrane autopsy was performed on a full-scale seawater reverse osmosis (SWRO) desalination plant located on the Red Sea. Several techniques were employed to characterize the ...nature and the fate of the foulants in the process, including LCOCD, ICP-MS, SEM-EDS, TSS, and ATP. The efficiency of the pretreatment in removing the fouling potential was assessed by analyzing the seawater after the intake feed pump, after the spruce media filter (SMF) and after the cartridge filter (CF). The autopsy of the membrane modules and CF operated for long-term revealed the presence of a heterogeneous fouling layer. The organic fraction composition of the fouling layer depended on the module position in the vessel. The inorganic deposits embedded in the layer were mainly composed of aluminum, iron, and magnesium silicate. The inorganic sediments entered the plants from the shoreline seawater intake and accumulated on the CF filter and the membrane. The analysis of the pretreatment performance showed an increase of TSS and ATP after CF, highlighting the inappropriate CF filter replacement time.
•Membrane autopsy in a full-scale SWRO plant located on the Red Sea was assessed.•Pretreatment efficiency was evaluated in terms of fouling potential reduction.•Sediments from shoreline seawater intake were found in the modules.•Inappropriate replacement of cartridge filters increased the fouling potential.•Organic fouling composition depended on the module position in the vessel.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
AbstractSoil arching that is generated and develops within the ground behind the retaining wall in a multistrutted excavation is a soil stress transfer process related to the relative movement ...between the well-retained soil mass and the inward-moved soil mass. The lateral earth pressure behind the wall is redistributed induced by this soil arching, which has not been deeply investigated. In this paper, the wall deflection, lateral soil movement, ground surface settlement, strut forces, total lateral earth pressure, and the water level outside the excavation were monitored in a multistrutted excavation in soft soil. The measured results indicated that the lateral earth pressure redistribution was associated with the arching effect. A lateral earth pressure model considering the soil arching effect is proposed, and was verified using measurements obtained from this study and the literature. It was found that the coefficients of the proposed model are linearly related to the ratio of the soil volume loss to the gain (RLG), which can be used to characterize the soil arching process development. This study improves the understanding of the lateral earth pressure redistribution induced by soil arching, and the proposed model can be used to calculate more-realistic lateral earth pressure.
Order picking, the process of retrieving items from their storage locations to fulfil customer orders, ranks among the most labour- and time-intensive processes in warehousing. Prior research in this ...area had a strong focus on the development of operating policies that increase the efficiency of manual order picking, for example by calculating optimal routes for the order pickers or by assigning products to storage locations. One aspect that poses a major challenge to many warehouse managers in practice has, curiously enough, remained largely unexplored by academic research: modifications in workflows (i.e. workplace deviance in a positive or negative sense) in order picking, which we define as 'maverick picking'. The purpose of this paper is to characterise maverick picking and to study its causes, its forms of appearance and its potential impact on order picking performance. To gain insights into maverick picking, we first survey the literature to illustrate the state-of-knowledge of maverick picking. Subsequently, we report the results of a multi-case study on maverick picking and deduct a related content framework. The results of our case study support the proposition that maverick picking is highly relevant in practice and that it is a major determinant of order picking performance.
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BFBNIB, GIS, IJS, IZUM, KILJ, KISLJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
AbstractMechanically stabilized earth (MSE) walls reinforced with geosynthetic have been used extensively in highway projects around the world. Typical vertical spacing of geosynthetic reinforcement ...used in the design of an MSE wall is 0.6 m. This large reinforcement spacing requires a high reinforcement connection strength and may result in wall-facing bulging in the practice. To alleviate such problems, use of secondary reinforcement between primary reinforcement layers was proposed. However, this idea was not verified in the field. In this study, three MSE wall sections reinforced with geogrid layers were constructed and monitored in the field: (1) an MSE wall section with uniaxial geogrid layers as primary and secondary reinforcement; (2) an MSE wall section with uniaxial geogrid layers as primary reinforcement and with biaxial geogrid layers as secondary reinforcement; and (3) an MSE wall section with uniaxial geogrid layers as primary reinforcement only (i.e., the control section). Earth pressure cells, inclinometer casings and probes, and foil-type strain gauges were used in these three test wall sections to measure vertical and lateral earth pressures, accumulated lateral wall-facing deflections, and strains of primary and secondary geogrid layers during construction, respectively. The results from monitoring these three MSE wall sections were analyzed. The test results demonstrated the effects of secondary reinforcement on the improved performance of MSE walls, including reduced accumulated wall-facing deflections, a more uniform lateral earth pressure distribution, and reduced tensile strains in primary geogrid layers.
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