Human Resource Selection for Manufacturing System Using Petri Nets

2015 ◽  
Vol 791 ◽  
pp. 132-140 ◽  
Author(s):  
Grzegorz Kłosowski ◽  
Arkadiusz Gola ◽  
Antoni Świć

Proper selection of personnel constitutes a frequent challenge for the management of many enterprises. In this paper the above problem has been defined using three objective functions which required simultaneous optimisation. To solve this problem, computer modelling based on Petri nets was proposed. The model was subjected to iterative computer simulation, during which various variants of workstation assignment were tested. This resulted in the emergence of a variant which best fulfilled the assumed optimisation criteria.

2020 ◽  
Vol 287 (1934) ◽  
pp. 20200609
Author(s):  
Amy A. Shipley ◽  
Jennyffer Cruz ◽  
Benjamin Zuckerberg

For overwintering species, individuals' ability to find refugia from inclement weather and predators probably confers strong fitness benefits. How animals use their environment can be mediated by their personality (e.g. risk-taking), but does personality mediate how overwintering species select refugia? Snow cover is a dynamic winter characteristic that can influence crypsis or provide below-the-snow refugia. We explored how wintering ruffed grouse ( Bonasa umbellus ) selected snow roosting sites, a behaviour that reduces stress and cold exposure. We linked selection for approximately 700 roosts with survival of 42 grouse, and showed that grouse generally selected deeper snow and warmer areas. Grouse found in shallow snow were less likely to survive winter. However, individuals that selected deep snow improved their survival, suggesting that demographic consequences of selecting winter refugia are mediated by differences in personality . Our study provides a crucial, and seldom addressed, link between personality in resource selection and resulting demographic consequences.


2018 ◽  
Vol 26 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Jooseok Lee ◽  
Seunghoon Lee ◽  
Jinwoo Kim ◽  
Injun Choi

1982 ◽  
Vol 196 (1) ◽  
pp. 265-280 ◽  
Author(s):  
P J Sackett ◽  
K Rathmill

Changes in manufacturing techniques and systems are out-dating traditional ways of assessing the selection of new plant. The engineer needs to consider the overall effect of the introduction of new equipment when making an investment appraisal. The paper reviews trends in manufacture with special reference to computer controlled batch manufacturing equipment and systems with a high level of automation. Methods of assessing these are discussed in detail including the use of computer modelling in arriving at an investment decision which considers the effective operation of the manufacturing system as a whole.


2019 ◽  
Author(s):  
David C. McNitt ◽  
Robert S. Alonso ◽  
Michael J. Cherry ◽  
Michael L. Fies ◽  
Marcella J. Kelly

ABSTRACTBobcats are an apex predator and a species of socio-cultural importance in the central Appalachian Mountains. Despite their importance, knowledge of bobcat spatial ecology in the region is sparse. We examined space use and resource selection of bobcats in the Appalachian Mountains of western Virginia during 3 biological seasons: breeding (January-March), kitten-rearing (April-September), and dispersal (October-December). We observed sex effects on all space use metrics, with male seasonal areas of use (SAU) approximately 3 times larger than female SAUs and male movement rates 1.5 times higher than females during all seasons. We found no seasonal effect on SAU size for either sex. Female movement rates increased during the kitten-rearing season, and male movement rates increased during the dispersal season. We examined seasonal bobcat resource selection at 2 hierarchical scales, selection of home ranges within the landscape (2nd order) and selection of locations within home ranges (3rd order). Female bobcats exhibited 2nd order selection for higher elevations and deciduous forest and avoidance of fields. Males exhibited 2nd order selection for higher elevations and fields. Male 2nd order selection appears to be driven largely by the spatial distribution of females, which is mediated through the valley and ridge topography of the study area. Sample size precluded 3rd order analysis for females, however males exhibited 3rd order selection for higher elevations, fields, and deciduous forest. Resource selection patterns varied seasonally for both sexes, possibly driven by seasonal shifts in prey availability. Our findings highlight the importance of forested ridges to bobcats in the region. Our findings also illustrate the differences in space use between sexes, which future research efforts should consider. Further research should investigate seasonal shifts in bobcat prey selection, which may further explain the seasonal resource selection shifts we observed, and highlight potential implications for prey species.


2017 ◽  
Vol 43 (0) ◽  
Author(s):  
Juliet I. Puchert ◽  
Nicole Dodd ◽  
Kim L. Viljoen

Orientation: Details of applicants’ secondary education (incorporating subject choice) could be a useful screening tool when processing large applicant pools. Here, the relationships between secondary education (incorporating subject choice) and the reasoning and visual perceptual speed components of the Differential Aptitude Test are explored.Research purpose: The objective of the study was to determine whether type of secondary education (incorporating subject choice) could be used as a substitute for reasoning (verbal and non-verbal) and/or visual perceptual speed aptitudes in the selection of operators for an automotive plant in South Africa.Motivation for the study: The motivation for this study arose from the evident gap in academic literature as well as the selection needs of the automotive industry.Research design, approach and method: This research adopted a quantitative approach. It involved a non-probability convenience quota sample of 2463 work-seeking applicants for an automotive operator position in South Africa. Participants completed a biographical questionnaire and three subtests from the Differential Aptitude Test battery. The Chi-square test was used to determine the relationship between type of secondary education (incorporating subject choice) and selected cognitive aptitudes.Main findings: The study’s findings revealed statistically and practically significant relationships between type of secondary education (incorporating subject choice), verbal reasoning, non-verbal reasoning and visual perceptual speed. Broad performance levels in the three aptitude subtests employed in this study were significantly associated with the type of matriculation certificate held by applicants. The findings specifically indicated that the secondary education types that included the subjects mathematics or both mathematics and science were associated with higher levels of performance in the three aptitudes. This had consequences for these applicants’ success in the screening process which could lead to enhanced chances of employability.Practical and managerial implications: Applicants’ type of secondary education (incorporating subject choice) could be regarded as a key criterion in human resource selection and be instructive in the screening process. This could reduce the candidate pool prior to more costly psychometric assessments.Contribution or value-add: The findings are specifically relevant to the South African automotive industry in terms of their human resource selection practices. The insights gained from the findings may also be used as a guide to human resource practitioners in the selection of similar level employees in other working contexts. The study makes a case for a multiple-hurdle approach to selection.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246809
Author(s):  
Theresa S. M. Stratmann ◽  
Nandintsetseg Dejid ◽  
Justin M. Calabrese ◽  
William F. Fagan ◽  
Christen H. Fleming ◽  
...  

Nomadic movements are often a consequence of unpredictable resource dynamics. However, how nomadic ungulates select dynamic resources is still understudied. Here we examined resource selection of nomadic Mongolian gazelles (Procapra gutturosa) in the Eastern Steppe of Mongolia. We used daily GPS locations of 33 gazelles tracked up to 3.5 years. We examined selection for forage during the growing season using the Normalized Difference Vegetation Index (NDVI). In winter we examined selection for snow cover which mediates access to forage and drinking water. We studied selection at the population level using resource selection functions (RSFs) as well as on the individual level using step-selection functions (SSFs) at varying spatio-temporal scales from 1 to 10 days. Results from the population and the individual level analyses differed. At the population level we found selection for higher than average NDVI during the growing season. This may indicate selection for areas with more forage cover within the arid steppe landscape. In winter, gazelles selected for intermediate snow cover, which may indicate preference for areas which offer some snow for hydration but not so much as to hinder movement. At the individual level, in both seasons and across scales, we were not able to detect selection in the majority of individuals, but selection was similar to that seen in the RSFs for those individuals showing selection. Difficulty in finding selection with SSFs may indicate that Mongolian gazelles are using a random search strategy to find forage in a landscape with large, homogeneous areas of vegetation. The combination of random searches and landscape characteristics could therefore obscure results at the fine scale of SSFs. The significant results on the broader scale used for the population level RSF highlight that, although individuals show uncoordinated movement trajectories, they ultimately select for similar vegetation and snow cover.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Juliet I. Puchert ◽  
Roelf Van Niekerk ◽  
Kim Viljoen

Orientation: Technological innovations and developments in methods of productivity have resulted in an increased demand for technically-oriented artisans. However, the supply of qualified artisans is insufficient to meet the demand.Research purpose: This article is the product of a systematic investigation into the extent and nature of empirical literature related to human resource selection practices used for apprentices.Motivation for the study: The authors noted inadequate research into the selection practices used for apprentices. This investigation was motivated by the need to systematically verify the extent and nature of the empirical literature on apprentice selection, both internationally and nationally.Research design, approach and method: A systematic literature review of published empirical research articles (for the period 1990–2020) in scholarly databases was conducted. The literature was accessed through relevant databases within the business management, human resource management and industrial psychology fields. The literature was restricted to scholarly (i.e., peer reviewed journals), English full textual data. Twelve combinations of two clusters of key words were used in the search function. The first cluster was apprentice, apprenticeship and artisan, with the second cluster being selection, selection process, staffing and recruitment. Four exclusion categories were used to reject literature that were unrelated, dissimilar and unconnected with the purpose of the literature review.Main findings: From the comprehensive review of the literature, 12 articles were found to have content related to the selection of apprentices. Five core themes, with 11 sub-themes, were identified from this literature. A research agenda is proposed with research questions identified for each theme.Practical/managerial implications: This literature review has provided a synthesised summary of the available literature on apprentice selection. Through the provision of a research agenda, this article contributes by providing a foundation for further research in the field.Contribution/value-add: This article adds to the current literature available on apprentice selection practices. This should alert researchers of the need to further explore this area to enhance knowledge and understanding of the best practices employed in the selection of apprentices.


Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 177-188 ◽  
Author(s):  
Martin Schultze ◽  
Michael Eid

Abstract. In the construction of scales intended for the use in cross-cultural studies, the selection of items needs to be guided not only by traditional criteria of item quality, but has to take information about the measurement invariance of the scale into account. We present an approach to automated item selection which depicts the process as a combinatorial optimization problem and aims at finding a scale which fulfils predefined target criteria – such as measurement invariance across cultures. The search for an optimal solution is performed using an adaptation of the [Formula: see text] Ant System algorithm. The approach is illustrated using an application to item selection for a personality scale assuming measurement invariance across multiple countries.


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