Scheduling and shortest path for trucks with working hours and parking availability constraints

2021 ◽  
Vol 148 ◽  
pp. 1-37
Author(s):  
Filipe Vital ◽  
Petros Ioannou
Keyword(s):  
Shortest Path ◽  
Working Hours ◽  
Availability Constraints

Compensatory Coping Through the Extension of Working Hours

2019 ◽  
Vol 63 (3) ◽  
pp. 115-128 ◽  
Author(s):  
Maie Stein ◽  
Sylvie Vincent-Höper ◽  
Nicole Deci ◽  
Sabine Gregersen ◽  
Albert Nienhaus
Keyword(s):  
Job Demands ◽  
Working Hours ◽  
Well Being ◽  
Leader Member Exchange ◽  
Workplace Health ◽  
High Quality ◽  
Data Analyses ◽  
Member Exchange ◽  
The Relationship ◽  
Advance Knowledge

Abstract. To advance knowledge of the mechanisms underlying the relationship between leadership and employees’ well-being, this study examines leaders’ effects on their employees’ compensatory coping efforts. Using an extension of the job demands–resources model, we propose that high-quality leader–member exchange (LMX) allows employees to cope with high job demands without increasing their effort expenditure through the extension of working hours. Data analyses ( N = 356) revealed that LMX buffers the effect of quantitative demands on the extension of working hours such that the indirect effect of quantitative demands on emotional exhaustion is only significant at low and average levels of LMX. This study indicates that integrating leadership with employees’ coping efforts into a unifying model contributes to understanding how leadership is related to employees’ well-being. The notion that leaders can affect their employees’ use of compensatory coping efforts that detract from well-being offers promising approaches to the promotion of workplace health.

Flexible working hours and individual diurnal rhythms

1973 ◽  
Author(s):  
Paula Patkai ◽  
Kerstin Pettersson ◽  
Torbjorn Akerstedt
Keyword(s):  
Working Hours ◽  
Diurnal Rhythms ◽  
Flexible Working Hours ◽  
Flexible Working

The Relationship between Working Environment and Internship Satisfaction Level: A Case Study Of A 4-Star Hotel Restaurant In Germany

2019 ◽  
Vol 2 (4) ◽  
pp. 276-291
Author(s):  
Chatarina Natalia Putri
Keyword(s):  
Career Development ◽  
Working Hours ◽  
Learning Opportunities ◽  
Working Environment ◽  
The Other ◽  
Satisfaction Level ◽  
Supervisory Support ◽  
Support Organization ◽  
The Relationship

There are many factors that can lead to internship satisfaction. Working environment is one of the factors that will result to such outcome. However, many organizations discarded the fact of its importance. The purpose of this study is to determine whether there is a significant relationship between working environment and internship satisfaction level as well as to determine whether the dimensions of working environment significantly affect internship satisfaction. The said dimensions are, learning opportunities, supervisory support, career development opportunities, co-workers support, organization satisfaction, working hours and esteem needs. A total of 111 questionnaires were distributed to the respondents and were processed by SPSS program to obtain the result of this study. The results reveal that learning opportunities, career development opportunities, organization satisfaction and esteem needs are factors that contribute to internship satisfaction level. In the other hand, supervisory support, co-workers support and working hours are factors that lead to internship dissatisfaction. The result also shows that organization satisfaction is the strongest factor that affects internship satisfaction while co-workers support is the weakest.

Automatic Milking Systems: an option to address the labour shortage on New Zealand dairy farms?

2002 ◽  
pp. 39-43
Author(s):  
J.G. Jago ◽  
M.W. Woolford
Keyword(s):  
New Zealand ◽  
Dairy Industry ◽  
Research Programme ◽  
Working Hours ◽  
Dairy Farms ◽  
Small Scale ◽  
Labour Shortage ◽  
Commercial Farms ◽  
Grazing Systems ◽  
Automatic Milking Systems

There is a growing shortage of labour within the dairy industry. To address this the industry needs to attract more people and/or reduce the labour requirements on dairy farms. Current milk harvesting techniques contribute to both the labour requirements and the current labour shortage within the industry as the process is labour-intensive and necessitates long and unsociable working hours. Automated milking systems (AMS) have been in operation, albeit on a small scale, on commercial farms in Europe for a decade and may have the potential to address labour issues within the New Zealand dairy industry. A research programme has been established (The Greenfield Project) which aims to determine the feasibility of automated milking under New Zealand dairying conditions. A Fullwoods MERLIN AMS has been installed on a protoype farmlet and is successfully milking a small herd of 41 cows. Progress from the prototype Greenfields system offers considerable potential for implementing AMS in extensive grazing systems. Keywords: automated milking systems, dairy cattle, grazing, labour

A Study on Work-related Musculoskeletal Disorders among Sewing Machine Operators

2020 ◽  
Vol 11 (01) ◽  
Author(s):  
Ekta . ◽  
Manju Mehta ◽  
Praveen Kumar Sharma
Keyword(s):  
Textile Industry ◽  
Work Organization ◽  
Working Hours ◽  
The Body ◽  
Musculoskeletal Symptoms ◽  
Health Issues ◽  
Workplace Design ◽  
Sewing Machine ◽  
Work Related ◽  
Machine Operators

A musculoskeletal disorder is highly dependent on the workplace design. The workers whose job requires repetitive tasks, are more prone to this disorder. Textile industry is one of the labor intensive industries and most of its jobs require continuous engagement with the work. Sewing machine operators in this sector due to workplace design are facing high risk of health issues due to focused attention and static posture of the body. Understanding the health issues linked with continuous working hours and static posture need to be addressed. Both Government and non- government organizations need to be better involved in designing interventions targeting these people and protecting them from such health risks.The present study was conducted in Hisar district from Haryana state in which respondents were selected randomly. Total number of respondents were 60 in which 28 were males and 32 were females with objectives to assess work organization and work space design and to find out the occupational health problems and musculoskeletal symptoms among sewing machine operators. The results showed that maximum numbers of the respondents (68.4%) were took break of fixed duration and (53.4%) respondents were work along with others. Majority (43.3%) respondents were the first experience of MSK symptoms from 7 days to 12 months followed by (33.3%) respondents in 2-3 years.

The Map-Based Shortest Route Selection by Using Ant Colony Optimization Algorithm

2018 ◽  
Vol 1 (1) ◽  
pp. 15
Author(s):  
Achmad Fanany Onnilita Gaffar ◽  
Agusma Wajiansyah ◽  
Supriadi Supriadi
Keyword(s):  
Ant Colony Optimization ◽  
Shortest Path ◽  
Optimization Algorithm ◽  
Optimization Problems ◽  
Google Earth ◽  
Ant Colony ◽  
Food Sources ◽  
Shortest Route ◽  
Study Results ◽  
Destination Point

The shortest path problem is one of the optimization problems where the optimization value is a distance. In general, solving the problem of the shortest route search can be done using two methods, namely conventional methods and heuristic methods. The Ant Colony Optimization (ACO) is the one of the optimization algorithm based on heuristic method. ACO is adopted from the behavior of ant colonies which naturally able to find the shortest route on the way from the nest to the food sources. In this study, ACO is used to determine the shortest route from Bumi Senyiur Hotel (origin point) to East Kalimantan Governor's Office (destination point). The selection of the origin and destination points is based on a large number of possible major roads connecting the two points. The data source used is the base map of Samarinda City which is cropped on certain coordinates by using Google Earth app which covers the origin and destination points selected. The data pre-processing is performed on the base map image of the acquisition results to obtain its numerical data. ACO is implemented on the data to obtain the shortest path from the origin and destination point that has been determined. From the study results obtained that the number of ants that have been used has an effect on the increase of possible solutions to optimal. The number of tours effect on the number of pheromones that are left on each edge passed ant. With the global pheromone update on each tour then there is a possibility that the path that has passed the ant will run out of pheromone at the end of the tour. This causes the possibility of inconsistent results when using the number of ants smaller than the number of tours.

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