Hourly Schedule Research Articles

Two-Stage Distributed Robust Optimization Scheduling Considering Demand Response and Direct Purchase of Electricity by Large Consumers

The integration of large-scale wind power into power systems has exacerbated the challenges associated with peak load regulation. Concurrently, the ongoing advancement of electricity marketization reforms highlights the need to assess the impact of direct electricity procurement by large consumers on enhancing the flexibility of power systems. In this context, this paper introduces a Distributed Robust Optimal Scheduling (DROS) model, which addresses the uncertainties of wind power generation and direct electricity purchases by large consumers. Firstly, to mitigate the effects of wind power uncertainty on the power system, a first-order Markov chain model with interval characteristics is introduced. This approach effectively captures the temporal and variability aspects of wind power prediction errors. Secondly, building upon the day-ahead scenarios generated by the Markov chain, the model then formulates a data-driven optimization framework that spans from day-ahead to intra-day scheduling. In the day-ahead phase, the model leverages the price elasticity of the demand matrix to guide consumer behavior, with the primary objective of maximizing the total revenue of the wind farm. A robust scheduling strategy is developed, yielding an hourly scheduling plan for the day-ahead phase. This plan dynamically adjusts tariffs in the intra-day phase based on deviations in wind power output, thereby encouraging flexible user responses to the inherent uncertainty in wind power generation. Ultimately, the efficacy of the proposed DROS method is validated through extensive numerical simulations, demonstrating its potential to enhance the robustness and flexibility of power systems in the presence of significant wind power integration and market-driven direct electricity purchases.

Premenstrual syndrome among medical versus non-medical workers and its association with work-related quality of life

BackgroundPremenstrual syndrome (PMS) is a commonly underestimated disorder that negatively impacts a woman’s life. Medical workers, who live a more stressful life, may report an increased rate of PMS. Studies on the relationship between PMS and work-related quality of life for medical professionals are scarce, particularly in the Arab world. This study aimed to compare the frequency of PMS among medical versus non-medical workers at Zagazig University and to assess the association between PMS and their work-related quality of life.MethodsA comparative cross-sectional study was conducted. The sample population consisted of 48 medical and 48 non-medical female workers aged 18–45 years from Zagazig University. The two groups filled out a questionnaire with 3 parts: sociodemographic and occupational data, the Premenstrual Symptoms Screening Tool (PSST), and the Work-Related Quality of Life Scale (WRQL).ResultsSevere PMS was reported in 45.8% of medical workers versus 20.8% of non-medical workers with a statistically significant difference between both groups (p = 0.009). Binary logistic regression showed that being a medical worker, clinical specialty, ≥ 8 years of work, ≥ 24 working hours per week, and having a non-set hourly schedule were predictors for severe PMS. PMS was found to be a statistically significant predictor of poor WRQL (p < 0.001). There was a highly significant negative correlation between the PMS score and the WRQL score (r = − 0.302, p < 0.001).ConclusionAmong medical workers, PMS is more common and more severe, and WRQL is worse and negatively correlated with PMS. We suggest further studies with larger samples to prove this association and planning for public health programs to screen for and manage PMS among medical workers in our community.

Optimal scheduler for energy consumption reduction in multi-vector energy management systems: A case study at the Port of Borg

The objective of microgrid operation is to supply the energy demanded by the loads at minimum cost. To achieve this goal, new tools are being proposed in the literature, such as the use of optimal schedulers in the field of multi-vector management systems. An optimal scheduler provides the hourly schedule of the flexible loads that exist in a microgrid to maximize the use of local renewable resources. This work aims to investigate the application in the context of five optimization algorithms in terms of energy and computation costs and to demonstrate how optimal schedulers can contribute significantly to reducing energy operating costs in new and real microgrid scenarios. The analysis of the algorithms is carried out through an experimental process on the existing installations at Port of Borg (Norway), which contains photovoltaic production and different types of flexible assets, such as cranes, electric vehicle charging stations, and electrical storage. Real data gathered at the port's premises is used to assess the energy cost reduction when the optimal scheduler is part of the energy management system, and the computations are performed in real time to apply the proposed schedule to the pilot. The results show how the use of optimal schedulers can reduce operation costs up to 17.2%, augmenting local energy production utilization, and that using two OS algorithms in cascade can also reduce the computation time.

Reduction method for short-circuit capacity by unit commitment with network topology optimization

To achieve a carbon-neutral society, it is necessary to penetrate large amounts of variable renewable energy (VRE). Generally, VRE is connected via an inverter so the impedance of the system increases, then the short-circuit capacity of the system decreases. However, it is necessary to maintain the connection of synchronous generators to ensure the reserve for the uncertain output of VRE. Therefore, there is a concern that the impedance of the system decreases and the short-circuit capacity remains high. Therefore, we propose a method that reduces short-circuit capacity by using network topology optimization, which is one of the methods used to reconfigure network topology in existing power systems. This method is verified by solving the unit commitment problem. Hence, this method is designed to determine the hourly schedule of the generators and the network topology. Furthermore, this method considers bus-splitting, which divides the elements connected to a substation into two groups. This method is verified by using the modified IEEE 14 bus test system based on the two-busbar model. The results show that this method reduces the maximum short-circuit capacity in the test system without changing the hourly schedule of the generators.

The Relationship between the Dimensions of Quality of Health Services with Inpatient Patient Satisfaction at Mother and Child Hospital X Semarang City

&lt;div&gt;&lt;table cellspacing="0" cellpadding="0" align="left"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td align="left" valign="top"&gt;&lt;p&gt;&lt;em&gt;Patient satisfaction greatly depends on the quality of hospital services since it can guarantee that patients receive efficient, secure, and uniform care. This study's goal was to ascertain how the mother and child hospital X in Semarang City's inpatient patient satisfaction levels relate to various aspects of health care quality. This study uses a cross-sectional research design, a quantitative technique, and analytical analysis. There were 61 inpatients in this study's group. Total sampling was the method employed for sampling in this investigation. There were 61 patients in the study's sample. The four aspects of service quality availability, responsiveness, convenience, and timeliness are the independent variables in this study, and patient satisfaction is the dependent variable. Data collection using questionnaires. Bivariate data analysis was performed using the Chi-square test which was analyzed using the help of SPSS software version 26. There is no relationship between the availability dimension and patient satisfaction (p-value=0.000), there is no relationship between the responsiveness dimension and patient satisfaction (p-value=0.000), there is no relationship between the convenience dimension and patient satisfaction (p-value=0.008) and there is no relationship between the timeliness dimension (p-value=0.016) at the mother and child hospital X Semarang City. The dominant variable that affects patient satisfaction is the perception of the availability dimension (p-value=0.000; OR=20.789; 95% CI =4.083-107.031). It is hoped that hospital management in its services is expected by doctors to be able to provide a sense of empathy to respond to complaints from patients, and doctors can inform the officers on duty regarding visite hours so that patients feel better served. And the midwife or nurse should make a small information board containing information related to the schedule of the officers' work hours.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt; &lt;/em&gt;&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;strong&gt;&lt;em&gt;Keywords: Dimensions, Quality of service, Patient satisfaction, Hospital&lt;/em&gt;&lt;/strong&gt;

Effective Study Hours for Students in the Distribution of Subjects at Vocational High School

The improvement of the learning quality in schools is closely tied to effective time management. Appropriate scheduling of study hours can play a crucial role in achieving optimal learning outcomes for students. This research aims to analyze and understand how effective study hours can influence the distribution of subjects in schools to enhance students' learning outcomes. The study adopts a qualitative approach with a descriptive research design. The research location is conducted at SMKN 6 Surakarta, utilizing data collection techniques including interviews with students and teachers, documentation related to class schedules, and data triangulation techniques to ensure information validity. Data analysis involves interview transcription, categorization, and the identification of emerging patterns. The findings indicate that the effectiveness of study hours significantly impacts the distribution of subjects. Students experiencing effective study hours tend to have a better grasp of the subjects, while suboptimal study hour distributions can hinder achieving the expected learning outcomes. These findings underscore the importance of thorough planning regarding study hour arrangements to enhance learning effectiveness.

Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage

Hybrid energy storage offers a new way to increase the renewable energy proportion (REP) of near-zero energy community energy system (NZECES). However, the optimization operation method of NZECES combining hybrid energy storage is not yet mature. Therefore, this paper proposes integrating electricity storage, heat storage and hydrogen storage into the NZECES, and conducting multi-time scale (MTS) operation optimization research. Firstly, a NZECES with electricity-heat-hydrogen storage is constructed. Secondly, a MTS optimization operation model of day-ahead scheduling, intra-day rolling, and real-time adjustment is established. Among them, the hourly scheduling scheme targeting the lowest daily operating cost is obtained through the optimization of the day-ahead stage. In the intra-day stage, the scheduling scheme with a time interval of 15 min is obtained by the rolling optimization. The operation scheme of electrical-related equipment with the minimum adjustment cost is obtained in the real-time stage. Finally, a NZEC with different building types is used as the energy supply object. The results show that compared to the traditional day-ahead scheduling scheme, the REP is increased by 3.6 % and the operation cost of the energy system is reduced by 5.3 % by using the MTS operation optimization method.

The Health and Functional Age Trend Self-assessment of the Older Workers and Retirees in Ukraine from Online Data Human Health Passport in COVID-19 Pandemic

For a general health assessment of the workers in organized industries, and unorganized groups of the unemployed and retirees, systematic online health monitoring has been used. Health monitoring includes a scale assessment of functional tests. The actual state of population health is still not included in the registers of National Statistics of Ukraine for example workers, pensioners and unemployment. The purpose of the study was systemic online health monitoring, to assess the impact of professional, demographic, and socio-economic factors in the Covid-19 pandemic condition and the limited capacity of the health care system in Ukraine. Methods: The study used the intrinsic capacity assessment scales, the five-question scale to detect muscle dysfunction in older persons, as well as some questions regarding residual performance, psychophysiological methods, and characteristics of the functional age. The questionnaire Human Health Passport 1.1 includes 70 questions; 21 of them were assessed by 1 point for positive answer and zero for negative case. The screening was carried out online on social media to Internet users aged 31 to 90. In the study 377 respondents of which 83.83% were employees. The Human Health Passport screening showed reliability (Cronbach alfa = 0.737), and correlation relationships of the main estimated indicators are significant. So, 54% of respondents do need health care under a physician’s supervision. The 39% of respondents need should convey the proper individual schedule of workout and labour hours, as well as physical activity and breathing exercises because only 7% of respondents are healthy. Correlation analysis of the scale results showed a significant relationship between age, with static balancing, falls during the last 6 months, and the ability to 5 times sit to stand test within 14 seconds. The optimal management of Human Health Passport screening helps to reduce the harmful influence on the environment, and transport expenses for doctor visits and saves the doctor's time for patient examination and prevention of the exposure and the spread of COVID-19. The screening showed the existing reserves of training for health promotion and, the overstrain of the functional systems of the body in the working population - 76%—by the purpose. _________________________________________________________________________________________ Keywords: remote health screening; retirees; biological age; ageing; elderly workers

Benefits of Parental Involvement Activities in the Preschool Period: A Comparison of Teacher and Father Views

The purpose of this study is to determine and compare the views of teachers and fathers on father involvement and the benefits of parental involvement activities in the preschool period. The sample included 23 preschool teachers employed at public and private schools in Turkey's capital of Ankara, and fathers of 53 children in these teachers’ classrooms. This study is based on qualitative research that used an interview form to obtain data which is analyzed through content analysis. The findings of this study yield the deduction that both educators and paternal figures harbor the perception that parental involvement endeavors predominantly draw the attendance of mothers, with fathers exhibiting infrequent participation in such activities. The main reasons for fathers’ lower attendance rates for these activities are found to be working schedule and unsuitable working hours of the fathers. According to both the teachers and the fathers children are happy in terms of the benefits of parent involvement activities for the children, the family gains awareness about their child and improves itself in terms of the benefits for the family, and these activities provided easiness of communication and problem-solving with families in terms of the benefits for the school and the teacher.

Optimal planning of self-healing multi-carriers energy systems considering integration of smart buildings and parking lots energy resources

This paper presents a new framework for optimal planning of electrical, heating, and cooling distributed energy resources and networks considering smart buildings' contribution scenarios in normal and external shock conditions. The main contribution of this paper is that the impacts of smart buildings' commitment scenarios on the planning of electrical, heating, and cooling systems are explored. The proposed iterative four-stage optimization framework is another contribution of this paper, which utilizes a self-healing performance index to assess the level of resiliency of the multi-carrier energy system. In the first stage, the optimal decision variables of planning are determined. Then, in the second stage, the smart buildings and parking lots contribution scenarios are explored. In the third stage, the optimal hourly scheduling of the energy system for the normal condition is performed considering the self-healing performance index. Finally, in the fourth stage, the optimization process determines the optimal scheduling of system resources and the switching status of electrical switches, heating, and cooling pipelines’ control valves. The proposed method was successfully assessed for the 123-bus IEEE test system. The proposed framework reduced the expected values of aggregated system costs and energy not supplied costs by about 49.92% and 93.64%, respectively, concerning the custom planning exercise.

Hydropower Unit Commitment Using a Genetic Algorithm with Dynamic Programming

This study presents a genetic algorithm integrated with dynamic programming to address the challenges of the hydropower unit commitment problem, which is a nonlinear, nonconvex, and discrete optimization, involving the hourly scheduling of generators in a hydropower system to maximize benefits and meet various constraints. The introduction of a progressive generating discharge allocation enhances the performance of dynamic programming in fitness evaluations, allowing for the fulfillment of various constraints, such as unit start-up times, shutdown/operating durations, and output ranges, thereby reducing complexity and improving the efficiency of the genetic algorithm. The application of the genetic algorithm with dynamic programming and progressive generating discharge allocation at the Manwan Hydropower Plant in Yunnan Province, China, showcases increased flexibility in outflow allocation, reducing spillages by 79%, and expanding high-efficiency zones by 43%.

Safety Concerns for Laboratory Professionals in Rural Practice Settings During Covid-19

Abstract Introduction/Objective The COVID-19 pandemic exacerbated the health risks of laboratory professionals. This study aimed to understand the impact increased workload and decreased staffing levels have, specifically in rural areas where clinical laboratory testing is performed, and to document how these changes affect the wellbeing of laboratory professionals. Methods/Case Report The study integrated responses from a cross-sectional study of laboratory professionals which employed an anonymous electronic survey deployed between November of 2021 and February of 2022. Specific items asked if participants had worked in clinical laboratories since the public health emergency started, if they were concerned regarding Covid-19 transmission, adequate staffing, and support at their workplace. A subsequent qualitative study including focus groups and an interview questionnaire targeted laboratory professionals working in rural laboratories in four states of the Mid-west to further understand any immediate health impacts on wellbeing for these professionals. Results (if a Case Study enter NA) Among 438 participants in the survey that indicated they worked in the laboratory since March of 2020, 20% said they worked in non-metro US counties (RUCC 4-9). Among the non-metro laboratory professionals, 70% indicated that staffing levels in their laboratories were inadequate, with over 50% of them expressing concern about contracting Covid-19 at their workplace, and 53% saying they had been told to work despite a possible or confirmed exposure to the virus. The analysis of thirteen focus groups (N=59) and qualitative written interviews (n=15) found that workplace changes impacted the health of laboratory professionals in rural areas. These included lack of availability of laboratory equipment and increased work hours, which increased self-reported levels of stress. Recommendations for improvement included flexibility in scheduling of hours and proper compensation for overtime work. Conclusion Working in rural clinical laboratories during the Covid-19 pandemic exposed laboratory professionals to stress that was exacerbated by a work environment operating in scarcity.

Application Research of CFD-MOEA/D Optimization Algorithm in Large-Scale Reservoir Flood Control Scheduling

Reservoir flood control has an important impact on flood protection and plays an important role in reducing the loss of people’s lives and property. In order to play an important role in flood control operation of large-scale reservoirs, a control flood dispatching multi-objective evolutionary algorithm based on decomposition (CFD-MOEA/D) is proposed. The same type of multi-objective optimization algorithm (non-dominated sorting genetic algorithm II (NSGA-II)) is introduced, and CFD-MOEA/D, NSGA-II, and traditional MOEA/D algorithms are compared. The research results show that the CFD-MOEA/D algorithm can obtain the non-dominated solution of the higher water level in the upstream, and the solution obtained by the CFD-MOEA/D algorithm is more sufficient than the NSGA-II algorithm and the MOEA/D algorithm. When analyzing the HV value curve, the uniformity and convergence of the optimal solution obtained by the CFD-MOEA/D algorithm are better than those of the other two algorithms. The optimal dispatching scheme of the CFD-MOEA/D algorithm is compared with the actual dispatching scheme of the reservoir, and it is found that the maximum upstream water level and the final water level obtained by the CFD-MOEA/D algorithm are both kept at approximately 325 m, which is consistent with the actual dispatching scheme. The new feature of the algorithm is that it uses a decomposition method from coarse to fine and improves the hourly scheduling scheme to obtain higher scheduling efficiency.

Incomplete off-duty work hours and sleep quality among firefighters: a cross-sectional study, Taiwan.

We examined whether firefighters in Taiwan have a sleep problem and investigated the related factors of poor sleep quality. In this cross-sectional study, 2123 male shift firefighters in the Greater Taipei area were invited, and 37.7% of them satisfactorily completed the questionnaire online. The Chinese version of Pittsburgh sleep quality index (PSQI) was used to evaluate sleep quality. Multiple logistic and linear regression analyses were used to determine the associations among demographic characteristics, work-related characteristics, and poor sleep quality. As revealed by 801 valid questionnaires, 77.2% were poor sleepers (PSQI cutoff score > 6), and 61.2% reported incomplete off-duty in the past month. Moreover, 42.6% of incomplete off-duty workers reported extended overtime of more than 5h on off-duty days in the past month. Poor sleep quality was associated with the following factors: (1) demographic characteristics: age, working tenure, having children, and chronotype and (2) work-related characteristics: shift schedule and incomplete off-duty. The final model for poor sleep quality as per PSQI included age, chronotype, shift schedule, and incomplete off-duty hours in the past month. Longer hours of incomplete off-duty work were associated with increased risks of overall poor sleep quality and of poor subjective sleep quality, long sleep latency, sleep disturbances, and daytime dysfunction. Firefighters are advised to have a complete off-duty day to avoid poor sleep quality, long sleep latency, short sleep duration, sleep disturbances, and daytime dysfunction. Our results confirm the need for implementing appropriate shift schedules to ensure adequate rest time for firefighters.

Energy management optimization of integrated energy system with electric hydrogen hybrid energy storage

Abstract Integrated energy system (IES) has attracted wide attention as an efficient solution to a comprehensive utilization of hybrid energy system including electricity, heat, and hydrogen in recent years. This paper investigates the stochastic optimal operation for the micro integrated electric power, heat, and hydrogen delivery system. Firstly, the mathematical model of the micro integrated energy system for residential communities and other similar scenarios is discussed, including the energy interface, power microgrid, micro-heat system and micro-hydrogen system with considerations of distributed energy supply, energy storage, load, upstream energy network interface and their mathematical models. Secondly, the correlated uncertainty, such as wind power, solar power, and loads, are considered and handled in micro integrated energy system. Finally, a scenario-based approach is proposed for the stochastic operation of micro integrated energy system. The objective function is formulated to minimize the expected total operation and environmental costs, the hourly schedule of controllable components in micro integrated energy system. Numerical results demonstrated that the effectiveness of the proposed method. The correlated uncertainty and the corresponding impacts are accurately presented in the optimization model.

Controlling the clock: Working hours in the UK hotel sector

ABSTRACT The hotel sector is synonymous with working hours that are long, unpredictable and result in poor outcomes for employees. Arguably, they constitute one of the most significant features of the employment relationship, yet little research exists to explore the factors influencing the scheduling of hours and the degree of control employees can exert on their pattern of work. This article aims to help fill this gap by exploring what shapes employee working hours and the extent to which each side of the employment relationship exercises control. Qualitative research was conducted with purposive sampling used to identify and interview employees in the UK hotel sector, combined with managers responsible for budgetary control over labour and for setting work schedules. The findings suggest that a combination of customer demand patterns and the choice by employers to minimise labour costs effectively reduce employees’ ability to control or challenge work schedules. The lack of employee voice is structured into the employment relationship, depriving workers of a healthy work-life balance, their ability to take breaks and legally entitled pay.

ANALISIS KEBIASAAN BELAJAR SISWA BERPRESTASI DI SD NEGERI 013 MUARA JALAI

The purpose of the study was to find out how the study habits of outstanding students at school, at home and the differences in study habits of outstanding students at SD Negeri 013 Muara Jalai were. This research uses case study qualitative research. The research subjects were high achieving students in grades IV and V of SD Negeri 013 Muara Jalai, class teachers, principals, parents of high achieving students and the neighborhood of high achieving students. Data collection techniques are observation, interviews, documentation and field notes. The main instrument is the researcher using tools in the form of observation guidelines, interviews, documentation and field notes. Data analysis using the Miles and Huberman model. The technique of checking the validity of the data is by using triangulation techniques. The results of the study showed that the learning habits of students excel in the school environment. Students attend class on time, students follow lessons by paying attention, listening, taking notes, asking questions, concentration and discipline in learning. While the study habits of students excel at home. Outstanding students have a schedule of study hours, during the learning process students are always guided and accompanied by their parents, students always prepare their study needs at night and always leave in the morning. The difference in the study habits of high achieving students is when they study at home, namely during study hours

RANCANG BANGUN BEL OTOMATIS DI STIKOM TUNAS BANGSA BERBASIS ARDUINO DILENGKAPI DENGAN OUTPUT SUARA

Abstract&#x0D; Bell is certainly no stranger to education. In general, the bell still uses human power to ring it. It is still rare in the world of education to use an automatic bell that can work alone according to a predetermined time in the teaching and learning process. The purpose of the design of automatic bells at STIKOM Tunas Bangsa Pematangsiantar is to facilitate the work of picket officers and optimize the time for teaching and learning. The work process of this tool is to input the predetermined lesson time into the Arduino Uno Microcontroller using C language in the Arduino IDE Software. After that the microcontroller will read the program schedule hours that have been inputted into the microcontroller. If the program inputted matches the time schedule of today's lesson hours, the bell will automatically output the output in the form of an information notification sound. This tool also has a 16x2 Keypad Shield for setting the manual in the test mode that is matched in the time of the ongoing test and automatically produces notification sound output, where the automatic bell is fully controlled with the Arduino Uno Microcontroller command and the time setting that has been set into the RTC ( Real Time Clock) as a time saver.&#x0D; &#x0D; Keywords: Arduino Uno, RTC, Keypad Shield 16x2, STIKOM Tunas Bangsa

ANALYSIS OF THE INFLUENCE OF AIR EXCHANGE DISTRIBUTION BETWEEN ROOMS ON THE APARTMENT ENERGY CONSUMPTION

&#x0D; &#x0D; &#x0D; &#x0D; Modern results of Ukrainian buildings energy analysis show that 30-50% of the energy for heating goes to heat the supply air, and that is the largest share in the building energy balance. In terms of energy consumption, efficiency of the air exchange mode largely depends on occupancy schedule and air distribution in time and space. The application of air exchange schedule approach makes more sense in case when individual heating control is carried out. Therefore, during occupied hours, the comfortable ventilation level can be ensured, and, during unoccupied hours, it can be reduced to a minimum. According to the results of the study, the use of intermittent air exchange mode in the studied apartment on weekdays, leads to decrease in energy consumption compared to constant air exchange at the level of upper values of the ventilation schedule. In terms of energy efficiency, the use of the constant air change rate from ASHRAE Std 62 is the most efficient approach. In terms of indoor air quality and concentration of CO2 and VOCs, the scheduled air exchange approach with increased air change rates (from EN 16798) during occupied hours is more efficient. Therefore, the use of required and experimental air change rate values to create the hourly schedules allows to define more precisely a building energy consumption and to choose an optimal operation schedule for building engineering systems to provide thermal comfort and indoor air quality during occupied hours.&#x0D; &#x0D; &#x0D; &#x0D;

Special Employment Centres, Time Factor and Sustainable Human Resources Management in Spanish Hotel Industry: Can Corporate Social Marketing Improve the Labour Situation of People with Disabilities?

Background: Low-quality jobs, long working hours and difficult scheduling of hours have been usually reported in the hotel industry. The situation is more difficult for people with disabilities (PWD), even more in the COVID-19 crisis, especially in terms of labour inclusion (due to the labour discrimination usually suffered by this collective). Thus, Special Employment Centres (SEC) have been created in Spain to spread protected employment of PWD. Although they are improving the situation in the short term, the long-term impact developing sustainable employment is not clear. The objective of this paper is to analyze the Spanish situation, the possible differences between sheltered employment and the ordinary labour market, how SEC could be improving (or not) their labour situation in the hotel sector in the long term, and the potential of incorporating Corporate Social Marketing to overcome the problem. Methods: A content bibliographic analysis has been carried out according to the latest research about this topic, using a ProKnow-C methodology. Results: There seems to be two different groups of papers (supply and demand sides), being the supply side one (focused on HR practices about PWD inclusion and managers’ perceptions of workers with disabilities) more related to our research objective. Furthermore, few articles were found about SEC and Corporate Social Marketing in relation to this topic, highlighting the originality of this research approach. Conclusions: According to our bibliographic portfolio, the presence of labour discrimination in the regular market is more evident; and, in the long term, two opposite situations could be happening simultaneously: (a) SEC would be reinforcing the social stigma, hindering the labour situation of PWD; (b) SEC could be changing the social perspectives of clients and all society in a positive manner. Therefore, it would be necessary to go in-depth into the present subject, from an academic but also practical perspective, incorporating an innovative Corporate Social Marketing approach in order to shed new light on this issue and improving effective sustainable employment of PWD.