Facility Constraints Research Articles

Impact of Operational Constraints on Quality and Productivity of Handloom Products

The handloom industry is India’s largest cottage industry representing and preserving the vibrant and beautiful Indian culture and traditions. Indian artists are now known worldwide for their spinning weaving and hand-printing techniques. The handicraft industry is the second-largest source of employment in the country after agriculture. It employs 12.5 million people and is the largest supplier to rural businesses outside of agriculture. The success or failure of the handloom industry largely depend on the quality in this competitive world. The quality and the quantity of the handloom products purely derive from operational constraints which were adopted. The present study aimed to identify the impact of operational constraints like raw material availability, credit facility, functioning, and welfare constraints on the quality and productivity of handlooms in the Kadapa district. The data were collected from a total of 120 weaver entrepreneurs operating in different locations of the Kadapa district. A stratified random sampling technique has been adopted for the sample responses collection. Suitable tools like multivariate multiple regression with structural analysis were carried out to analyze and interpret the data. The study results revealed that all the four operational constraints like raw material availability, credit facility, functioning, and welfare constraints were positively and significantly influencing the quality of the handloom products. These operational constraints also influence the productivity of handlooms positively and significantly. A total of eight hypotheses were formulated with the support of the literature and all are supported. The raw material was found as an important predictor of the quality and productivity of the handloom products as it captured the maximum level of influence than other parameters.

A Physics-Based Proxy for Surface and Subsurface Coupled Simulation Models

Summary Full-physics subsurface simulation models coupled with the surface network can be computationally expensive. In this paper, we propose a physics-based subsurface model proxy that significantly reduces the run time of the coupled model to enable rapid decision-making for reservoir management. In the coupled model, the subsurface reservoir simulator generates well inflow performance relationship (IPR) curves that are used by the surface network model to determine well rates that satisfy surface constraints. In the proposed proxy model, the computationally intensive reservoir simulation is replaced with an IPR database constructed from a data pool of one or multiple simulation runs. The IPR database captures well performance that represents subsurface reservoir dynamics. The proxy model can then be used to predict the production performance of new scenarios—for example, new drilling sequence—by intelligently looking up the appropriate IPR curves for oil, gas, and water phases for each well and solving it with the surface network. All necessary operational events in the surface network and field management (FM) logic (such as facility constraints, well conditional shut-in, and group guide rate balancing) for the fully coupled model can be implemented and honored. In the proposed proxy model, the reservoir simulation component is eliminated for efficiency. The entirety of the surface network model is retained, which offers certain advantages. It is particularly suitable for investigating the impact of different surface operations, such as maintenance schedule and production routing changes, with the aim of minimizing production capacity offline because of maintenance. Replacing the computationally intensive subsurface simulation with the appropriate IPR significantly reduces the run time of the coupled model while preserving the essential physics of the reservoir. The accuracy depends on the difference between the scenarios that the proxy is trained on and the scenarios being evaluated. Initial testing with a complex reservoir with more than 300 wells showed the accuracy of the proxy model to be more than 95%. The computation speedup could be an order of magnitude, depending largely on the complexity of the surface network model. Prior work exists in the literature that uses decline curves to replicate the subsurface model performance. The use of the multiphase IPR database and the intelligent lookup mechanism in the proposed method allows it to be more accurate and flexible in handling complexities such as multiphase flow and interference in the surface network.

Law enforcement of criminal acts of traffic violations

The purpose of this research is to find out: (1). A new idea in the application of a traffic violation settlement model. (2). The settlement model for traffic violations is given proof violation. (3). The new traffic violation crime model in the form of a SIM or STNK was not confiscated by officers, but an ID card as collateral. (4). Violators pay the ticket via ATM, internet banking, and phone banking. This research method uses descriptive qualitative. Data collection techniques are in-depth interviews, field surveys which are analyzed as data, literature studies in the form of notes, videos, CCTV, and other documents. The obstacles in the practice of law enforcement of traffic crime violations have not gone well (1). Human resource constraints for law enforcement are still limited (2). Facilities and infrastructure constraints (3). Law enforcement cultural factors and community factors. Conclusion: (1). The idea of an alternative model for solving traffic violations is simple, fast, cheap, and uncomplicated (2). The idea of a model for completing a SIM and STNK ticket was not confiscated, but an ID card. (3). Violators who have paid a fine through the bank then the bank will forward it to the traffic police sub-directorate.

Ride-Pooling Matching for Flexible Work: Incorporating Alternative Destinations, Facility Constraints and Group Dependencies

Ride-Pooling Matching for Flexible Work: Incorporating Alternative Destinations, Facility Constraints and Group Dependencies

Students' Perceptions of The Application of Recitation Methods During the Covid-19 Pandemic

This study aims to find out 1) the perceptions of students of the PAI study program class of 2019 FTIK IAIN Palangka Raya on the application of the Recitation Method during the covid-19 pandemic, and 2) the impact of the application of the Recitation Method during the covid-19 pandemic on students of the 2019 FTIK PAI study program. IAIN Palangka Raya. The type of research used in this study is mixed methods research. The subjects are 161 students of the 2019 Islamic Islamic Education study program FTIK IAIN Palangka Raya and the PAI Homebase lecturer who teaches at the 2019 Islamic State Islamic Studies study program FTIK IAIN Palangka Raya as informants. Data collection techniques using questionnaires, interviews, and documentation, data validation techniques using source triangulation and tabulation percentages, and data analysis techniques using data reduction, presentation, and verification. The results of this study indicate that: 1) PAI students' perceptions of the class of 2019 on the application of the Recitation Method during the Covid-19 pandemic on the cognitive component were in the excellent category with a percentage of 67.1%, the perception of PAI students for the class of 2019 on the affective part was in the perfect type with a percentage 52.2%, the perception of PAI students for the class of 2019 on the conative element is in the ideal variety with a percentage of 69.6% with an average rate of the overall cognitive, affective, and conative components as much as 62.97%. So, it can be said that the perception of PAI students from the class of 2019 on the application of the Recitation Method during the Covid-19 pandemic was in the excellent category as a whole. This can be seen from the responses of students who accept the application of the Recitation Method positively despite various obstacles; PAI students of the 2019 batch still try to do their assignments seriously and as much as possible. 2) As for the impact of the implementation of the Recitation Method during the covid-19 pandemic on students PAI study program batch 2019 FTIK IAIN Palangka Raya consists of positive impacts, namely a) helping to understand the material, b) honing knowledge and skills, c) fostering positive habits, and the negative impact of applying the Recitation Method during the covid-19 pandemic on PAI study program students’ class of 2019 are a) interaction barriers and b) facility constraints.

Sikap Petani terhadap Pengolahan Kopi Robusta Berbasis Indikasi Geografis di Kabupaten Temanggung

Coffee is a superior commodity in Temanggung Regency. Post-harvest processing affects the quality of a coffee product. The Robusta Temanggung Coffee Geographical Indication Standard governs the standard of processing. This research aims to analyze the attitude of robusta coffee farmers towards GIs based coffee processing standards. The study uses a descriptive method. The respondents were 80 robusta coffee farmers in Temanggung Regency. Questionnaires are structured using a Likert scale. The data collection using random sampling techniques. The data analysis using the scoring method. The results showed that farmers had a good attitude towards GIs-based coffee processing standards, agreeing to GIs based sorting, drying, and storage processes. Farmers have not been motivated to measure coffee bean water content according to GIs standards due to facility constraints. Intensive education, motivation, facilities, and mentoring are required for farmers to implement GIs-based coffee processing standards.

Mathematical formulation and a new metaheuristic for the constrained double-floor corridor allocation problem

A layout plan for a manufacturing system that is designed without any facility constraints will most likely be infeasible when confronted with reality. Additionally, considering that land available for building industrial plants is limited and its cost is high, it is necessary to investigate the layout planning of two and multi-floor facilities. To address these shortages in the scientific literature, we focus on the double-floor corridor allocation problem (DFCAP) which covers a wide range of complex facility constraints, such as fixed floor constraints, fixed row constraints, fixed positioning constraints, mutual floor constraints, mutual row constraints, sequencing constraints and adjacency constraints. For the model mentioned above, we term it as a constrained DFCAP (cDFCAP). A mixed-integer linear programming model is formulated for the cDFCAP. In order to solve larger realistic problems, a constrained metaheuristic with the memetic algorithm framework customised for solving the cDFCAP is introduced in this work. In our algorithm, four problem-specific heuristic rules to construct a set of initial solutions are developed. In addition, an ideal parameter combination for our constrained memetic algorithm is determined through a Taguchi experimental design. Finally, the results of a set of cDFCAP instances with different sizes (n = 10∼80) report that our provided approach is effective for the considered problem.

Toward environmental innovation in the cement industry: A multiple-case study of incumbents and new entrants

In this study, we explore the drivers of and barriers to environmental innovation for new entrants and incumbents in the cement industry. The cement industry produces large amounts of carbon dioxide (CO2) emissions every year, and therefore, implementing environmental innovations in the industry is important. The study was conducted as a multiple-case study of seven companies; four are new entrants, and three are incumbents in the cement industry. We found that incumbents implement environmental process innovations, as these firms are driven by cost-efficiency incentives to serve price-sensitive customers that prioritize standard products with competitive prices. Incumbents’ efforts in environmental product innovations are hindered by economic feasibility and constraints of production facilities especially when compared to ordinary Portland cement (OPC) production. In turn, new entrants implement environmental product innovations, as these firms are driven by internal values and a mission involving environmentally friendly products. To attain better environmental performance, new entrants create environmental product innovations for niche markets and applications. New policies that stimulate customer demand for new entrants and incumbents could accelerate the change to lower emissions in cement production.

IMPLEMENTING THE FINGERPRINT ELECTRONIC ATTENDANCE POLICY IN THE LIMBOTO SUBDISTRICT HEAD OFFICE GORONTALO DISTRICT

<p>We confer an analysis of the implementation of fingerprint electronic attendance policy in the Limboto subdistrict head office Gorontalo District and factors contributing to its success. We used a descriptive qualitative method and collected data in three manners, i.e., interview, observation, and documentation. Data were analyzed using Mills and Huberman’s analysis model, through which we reduced, presented, and verified data as well as drew conclusions. Findings demonstrate that 1) The fingerprint electronic attendance policy had been well implemented in the Limboto subdistrict head office Gorontalo District, attested by well-convened policy planning, implementation, and supervision; 2) Factors determining the implementation of fingerprint electronic attendance policy in the Limboto subdistrict head office Gorontalo District were communication, resources, disposition, bureaucratic structure, and force majeure. The implementation had succeeded in elevating PNS discipline and performances. We could see this in how discipline they were to arrive in the office and go home by schedule, how prepared they were when the manual attendance system was converted to the electronic one, and how good the communication between the head and staff as regards the policy implementation was. Additionally, their discipline was quantitatively proven by the report of electronic attendance in November 2020, which reached 94%. However, we also found some challenges, e.g., facility constraints, breeding problems in several marginalized sub-villages, and <em>force majeure </em>because of the COVID-19 pandemic.</p>

Performance and Power Analysis of a Vector Computing System

The performance of recent computing systems has drastically improved due to the increase in the number of cores. However, this approach is reaching the limitation due to the power constraints of facilities. Instead, this paper focuses on a vector processing with long vector length that has a potential to realize high performance and high power efficiency. This paper discusses the potential through the optimization of two benchmarks, the Himeno and HPCG benchmarks, for the latest vector computing system SX-Aurora TSUBASA. The architecture of SX-Aurora TSUBASA owes the high efficiency to making good of its long vector length. Considering these characteristics, various levels of optimizations required for a large-scale vector computing system are examined such as vectorization, loop unrolling, use of cache, domain decomposition, process mapping, and problem size tuning. The evaluation and analysis suggest that the optimizations improve the sustained performance, power efficiency, and scalability of both benchmarks. Therefore, it is clarified that the SX-Aurora TSUBASA architecture can achieve higher power efficiency due to its high sustained memory bandwidth paired with the long vector computing.

Integrating Technopreneurship Education in Nigerian Universities: Strategy for Decreasing Youth Unemployment

As of the third quarter of 2018, the rate of unemployment stood at 23.13 percent as revealed by the National Bureau of Statistics. In view of the foregoing, this study proposes technopreneurship education as an effective strategy that can be used to reduce unemployment. Sequential mixed-methods research designs (quantitative and qualitative) were adopted for the study. The population for the quantitative part consists of 300 level students of universities in Kwara State, while lecturers and artisans in the universities formed the population for the qualitative part. Stratified, quota and random techniques were used to select 370 respondents while purposive and convenience techniques were adopted to select two lecturers and artisan. Research instruments titled “Technopreneurship Education and Business Intention Questionnaire (TBQ) and “Interview Protocol on Technopreneurship Education and Business Intention Questionnaire (IPTEQ)” were used to collect relevant data. Findings from both quantitative and qualitative methods revealed that the three dimensions of technopreneurship education (i.e., entrepreneurship course, entrepreneurship practical and internet facility) were significantly related to business intention. Also, findings show that inadequate facility and financial constraint constitute challenges that hinder technopreneurship, while adequate facility and availability of funds were perceived as the remedies to the challenges. Based on the findings of the study, it was recommended that government, banks and other stakeholders in education should assist universities in terms of providing financial assistance to students with business intention.

High school Physics teachers’ perceptions of the learning revolution era 4.0 at training activities in Bener Meriah Regency

The constraints of the limited practicum facilities for Physics lessons in Bener Meriah Regency High School schools can be overcome by virtual laboratory practicum. Learning technology using a virtual laboratory experiment method based on Smart Phone is given to Physics teachers in the district so that they can use simple information technology applications in learning. The subject matter of physics used in this training was Waves and Optics. This activity is gradually carried out to pioneer the realization of physics learning in high schools following the demands of the industrial era 4.0. The output is expected to improve the pedagogical quality of teachers, the learning process, and to overcome the limitations of Physics practicum tools, and to support online learning during the Covid-19 pandemic. The activity was attended by 10 high school teachers in Bener Meriah Regency. All participants were able to master the transfer of technology provided. They are optimistic that this IT technology can be implemented in the learning of Wave and Optical material Physics in their schools on duty. 100% of trainees are satisfied with the service and expect will be any similar activities to be continued for other Physics materials.

Differentiating and modeling the installation and the usage of autonomous vehicle technologies: A system dynamics approach for policy impact studies

Existing research that forecasts market penetration of installed connected and autonomous vehicle (AV) technologies is often confused with the traffic composition in roadway networks. Users may override AV mode due to arrival time pressure, facility constraint (e.g., “I will have to make a U-turn a mile away if I do not cross the solid double-yellow lines here”), drug and alcohol influence, pleasure, envy (e.g., “why the front car can surpass that slow truck but I can’t?”), insufficient law enforcement, driving culture, media and public sentiment, etc. Therefore, the installation and the usage of AV technologies should not be instantaneously assumed ignorable in planning and policy studies. This paper is dedicated to clarifying this confusion by demonstrating that ignoring the difference between the installation and the usage of AV technologies might lead to systematic bias in evaluating policy and investment decisions. Through a system dynamics (SD) model, the complex interactions of relevant factors are captured so that the mixed traffic condition influences traffic law enforcement adjustment effort and system investment decisions, which, in turn, influence the AV technology usage share and the system performance. The case study applies to the greater Washington, D.C. area for demonstrating the feasibility and advantages of the proposed model and for studying policy implications. This paper does not attempt to forecast; instead, it proposes a modeling framework for studying the conditions under which differentiating the installation and the usage of AV technologies might be critical in forecasting the traffic composition trend and system performance for public policy and investment decisions.

High yield polar direct drive fusion neutron sources at the National Ignition Facility

Polar direct drive neutron source experiments were performed at the National Ignition Facility showing substantial improvement in total neutron yield and efficiency of conversion of laser energy to fusion output. Plastic capsules 3–4 mm in diameter were filled with 1.5 mg/cc of deuterium–tritium (DT) fuel and imploded with laser beam pointing and defocus designed to compensate for polar asymmetry introduced by the facility beam entrance angles. Radiation-hydrodynamics simulations were employed to optimize the multi-dimensional laser and target parameter space, within facility and target fabrication constraints. Ensembles of 1D simulations tuned to match the outputs of early shots in the series were used to design subsequent shots in the series. This allowed the later shots to be designed based on empirically motivated sensitivities to laser and target input parameters, while eliminating the need to explicitly model phenomena such as hydrodynamic instabilities and nonlinear laser–plasma interactions. One experiment with a 3.0 mm diameter CH capsule produced 13.6 kJ (4.81 × 1015 DT neutrons) from a laser input below the NIF optics damage threshold at 585 kJ, 328 TW. Two experiments with 4.0 mm capsules produced 31.3 and 33.6 kJ of fusion output (1.11 × 1016 and 1.19 × 1016 DT neutrons) with 1.10 MJ, 390 TW and 1.26 MJ, 425 TW of laser input, respectively.

Analisis Yuridis Mengenai Strategi Dosen Terkait Dengan Mutu Pembelajaran Di Perguruan Tinggi Masa Era New Normal

The scope of education is the parties that are involved in the sphere of education such as proteges/students/college students, the basic and the purpose of education itself, educators, educational materials, educational methods, educational evaluation, educational tools and the surrounding environment within the scope of education. Education is also one of the most important parts of human life that has provisions that aim to help the improvement of living standard and life for themselves and for the country. If referring to the Article 31 (amendment) paragraph (1) of the 1945 Constitution of the Republic of Indonesia which states that "Every citizen has the right to education, of course education is meant in principle, learning what we know is based on face to face in the class. to transfer the knowledge to their students (students / college students). This has now turned into virtual, distance learning, due to various constraints of limited facilities and infrastructure, the ability to absorb the technology, on the other hand, the unstable condition of the spread of covid-19 has certainly become a dilemma for several universities, including the university of Muslim Nusantara Al Washliyah in implementing learning whether it's pure online use organized with Distance Learning (PJJ) -virtual and other types of virtual.Keywords : Strategy, the Quality of Learning,New Normal

Being a midwife in West Africa: Between sensory experiences, moral standards, socio-technical violence and affective constraints.

Despite a long history of maternal health programs, the quality of obstetric care and access to facility services remain inadequate in West Africa. Although several qualitative studies have described human resource and facility constraints impacting pregnancy care and the violent or disrespectful care of women during labor, the reasons behind these behaviors have not been elucidated. In order to understand midwives' experiences with caregiving, in 2017-2018 we conducted interviews with 24 professional midwives in Benin and Burkina Faso and examined their perspectives on their profession, obstetric practices and personal lives. By including emotional, sensorial, linguistic and social elements, this paper shows important discordances between the proposals made by programs (such as rural postings and financial disbursement projects) and midwives' socio-emotional duties and economic roles. The study also shows that midwives' attitudes towards their patients are linked to their considering childbirth to be a moral act. Midwives' mistreatment of women in labor corresponds to constant shifts between technical obstetric skills and value judgements concerning expressions of pain, sexuality and desire. In addition, midwives justify their violent practices through the urgency of the situation, especially during crowning. The provision of care and the effective implementation of maternal programs cannot be improved without taking these justifications into account and without constructing dialogues enabling midwives to reflect on their social and emotional constraints, their relationship to the sexuality of childbirth, and the reasons for their practices. We advocate for more methodical research and for midwifery training to include in-depth case studies such as this one which start from the practical difficulties midwives face, making it possible to improve the midwifery profession as it is lived and not as it is imagined by fragmented, ungrounded programs.

The Use of biofloors in great ape zoo exhibits

The past several decades have seen significant progress in zoo exhibit design, with naturalistic spaces replacing many of the traditional concrete enclosures. Furthermore, research studying the impact of such exhibit design in terms of animal welfare and zoo visitor experience has increased. While this has been especially true for studies of zoo-housed great apes, the effect of the floor type that apes reside on—whether concrete or a softer/organic substrate—has received relatively little attention. To better understand zoos’ motivations for, and experiences with, different flooring substrates, a survey was administered to all 89 zoos accredited by the Association of Zoos and Aquariums that house great apes. Here, the results of the survey are presented and interpreted in the context of the knowledge gained from the four biofloor exhibits housing chimpanzees and gorillas at the Lincoln Park Zoo in Chicago, USA. Of the 62 zoos that responded, 45 reported having indoor exhibit spaces in which visitors could view great apes, but only 13 had exhibits that provide a biofloor as the exhibit substrate. Zoos indicated that animal welfare was a key motivator for installing biofloors, while facility constraints were most often cited as the primary impediment to having a biofloor. Pest control and cleaning protocols only varied slightly across institutions and floor types, with many zoos following similar maintenance procedures. Overall, survey responses and experiences at Lincoln Park Zoo suggest biofloors promote positive welfare without compromising husbandry efforts and are a worthwhile investment.

A Typology Model of Temporary Facility Constraints for Automated Construction Site Layout Planning

This study sought to develop a typology model of temporary facility constraints that can be used practically in construction site layout planning (CSLP) automation models. A triangulated methodology (literature review, in-depth interviews, and actual case studies) was used to identify constraints of 11 temporary facilities that are considered mainly in CSLP and to classify them into six constraint types (i.e., dimensional, regional, relocation, non-overlap, inter-facility distance, and visibility constraints) and seven subtypes. In addition, this study proposed computational modeling methods that would allow a computer to judge whether or not the constraints are met by a created construction site layout. This study contributes to CSLP theory by providing a typology model of temporary facilities that can be used in the model-based verification of the created construction site layout and constraint processing condition in CSLP optimization models. This would also help provide efficient, safe, and eco-friendly construction site management, while refraining from experience- and intuition-centered CSLP practices.

Feasibility study of beam-expanding telescopes in the interferometer arms for the Einstein Telescope

The optical design of the Einstein Telescope (ET) is based on a dual-recycled Michelson interferometer with Fabry-Perot cavities in the arms. ET will be constructed in a new infrastructure, allowing us to consider different technical implementations beyond the constraints of the current facilities. In this paper we investigate the feasibility of using beam-expander telescopes in the interferometer arms. We provide an example implementation that matches the optical layout as presented in the ET design update 2020. We further show that the beam-expander telescopes can be tuned to compensate for mode mismatches between the arm cavities and the rest of the interferometer.

COVID Response: The Main Street Lending Program

The Main Street Lending Program was created to support credit to small and medium-sized businesses and nonprofit organizations that were harmed by the pandemic, particularly those that were unsupported by other pandemic-response programs. It was the most direct involvement in the business loan market by the Federal Reserve since the 1930s and 1940s. Main Street operated by buying 95 percent participations in standardized loans from lenders (mostly banks) and sharing the credit risk with them. It would end up supporting loans to more than 2,400 borrowers and co-borrowers across the United States, with an average loan size of $9.5 million and total volume of $17.5 billion. This article describes the facility's goals, its design, the challenges and constraints that shaped its reach, and the characteristics of its borrowers and lenders. We conclude with some lessons learned for future policymakers and facility designers.