scholarly journals Value analysis as a mechanism to reduce the complexity of the selection of the resources system for Agile/Virtual Enterprises in the context of Industry 4.0

2021 ◽  
Vol 49 (4) ◽  
pp. 806-816
Author(s):  
Paulo Ávila ◽  
António Pires ◽  
Goran Putnik ◽  
João Bastos ◽  
Maria Cruz-Cunha
Keyword(s):  
Industry 4.0 ◽  
Resource Selection ◽  
Selection Process ◽  
Virtual Enterprises ◽  
Value Analysis ◽  
Problem Formulations ◽  
Integration Project ◽  
Process Complexity ◽  
Final System ◽  
Selection Of

The selection of the resources system (SRS) is an important element in the integration/project of Agile/Virtual Enterprises (A/V E) because its performance is dependent of this selection, and even of its creation. However, it remains a difficult matter to solve because is still a very complex and uncertain problem. We propose that using Value Analysis (VA) in the pre-selection of resources phase represents a significant improvement of the SRS process. The current literature fails to formally address the pre-selection phase and none of the resource selection models incorporate the resources value and its consequence in the complexity of the selection process. Whereby, ours developed model with VA constitutes an innovative approach towards greater sustainability in the configuration of A/V E in the context of Industry 4.0, where a massive interconnection among enterprises is expected and consequently the increase of the selection process complexity. After the construction of a demonstrator tool for a set of the problem formulations, this paper verifies by computational results the thesis regarding the benefits of applying VA to the SRS process: VA reduces the complexity of the SRS process, even ensuring that the final system of resources achieve higher quality/value grade.

Calling site selection by male Boana punctata (Anura: Hylidae)

2021 ◽  
pp. 1-12
Author(s):  
Kleber S. Martins ◽  
Zaida Ortega ◽  
Vanda L. Ferreira
Keyword(s):  
Resource Selection ◽  
Selection Process ◽  
Life History Strategies ◽  
Selection Function ◽  
Microhabitat Use ◽  
Microhabitat Selection ◽  
Vegetation Density ◽  
Amphibian Species ◽  
Vegetation Height ◽  
Selection Of

Abstract Amphibian species require specific conditions for reproduction, such as cover structures and shelters, in both aquatic and terrestrial habitats, which directly influence reproductive success. A careful selection of calling sites is an important process, driving life-history strategies and tactics in amphibians. Despite this, a significant knowledge gap on how different variables modulate amphibian microhabitat selection processes is noted. Thus, we aimed to: (1) describing the microhabitat use of adult neotropical Boana punctata males during the breeding season; and (2) quantitatively analyzing the selection process of five resource variables (i.e., vegetation cover, vegetation density, vegetation height, water depth, and distance to the water shore). We then compared the microhabitat selection of males that achieved spawning and that of males that did not achieve spawning. To quantify selection, we used a resource selection function approach, applying a case/control design where the calling site used by each male was paired to eight surrounding, unused locations. We found that males selected microhabitats with higher vegetation than surrounding areas for reproduction, which suggests territorialism, and selected microhabitats slightly (∼ 30 cm) inside the assessed ponds. Males also acted randomly with regard to the other variables, not influencing the males’ microhabitat selection. Microhabitat use of males successful in obtaining females to spawn was similar to that of males exhibiting mating failure. In addition to being of ecological interest, our study highlights that preserving tall vegetation and the ponds’ shores is important for the conservation of existing B. punctata urban populations.

scholarly journals A Survey Analysis Of The Resource Selection Models In Agile/Virtual Enterprises

2012 ◽  
Vol 10 (3) ◽  
Author(s):  
A. Pires ◽  
G. Putnik ◽  
P. Ávila
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Resource Selection ◽  
Selection Process ◽  
Virtual Enterprise ◽  
Point Of View ◽  
Decision Making Process ◽  
Virtual Enterprises ◽  
Survey Analysis ◽  
Selection Models

In this work, a survey is made of the analysis of the resource selection process. We approach the process also from the point of view of conventional enterprises but with particular emphasis on the existent models in Agile/Virtual Enterprises in order to identify the main limitations and shortcomings of the process. This analysis was focused in the global process of the resource selection, namely in terms of the pre-selection and selection phases, requisites, mathematical models, tools and other relevant areas in the existent models. It is concluded that the resource pre-selection is an area that is not adequately explored in a systematic way. The value concept is not incorporated in the selection process. As a result, a reasoned analysis is not performed of the decision-making process for creating an Agile/Virtual Enterprise. These conclusions were made to envision a future approach that allows the incorporation of new areas that contribute to the improvement of the resource selection process.

scholarly journals Apprentice selection: A systematic literature review from 1990 to 2020

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Juliet I. Puchert ◽  
Roelf Van Niekerk ◽  
Kim Viljoen
Keyword(s):  
Literature Review ◽  
Human Resource ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Resource Selection ◽  
Selection Process ◽  
Systematic Investigation ◽  
Empirical Literature ◽  
Selection Of ◽  
Selection Practices

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.

IMPLEMENTASI PENENTUAN ARSITEKTUR MASJID MODERN DI ACEH MENGGUNAKAN PEMODELAN SISTEM CERDAS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Masthura Hasan ◽  
T Iqbal Faridiansyah
Keyword(s):  
Fuzzy Inference System ◽  
Architectural Design ◽  
Fuzzy Inference ◽  
Intelligent System ◽  
Selection Process ◽  
System Modeling ◽  
Inference System ◽  
Normal Limits ◽  
Roof Structure ◽  
Selection Of

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of  Masjid

scholarly journals Optimising the selection of food items for FFQs using Mixed Integer Linear Programming

2014 ◽  
Vol 18 (1) ◽  
pp. 68-74 ◽  
Author(s):  
Johanna C Gerdessen ◽  
Olga W Souverein ◽  
Pieter van ‘t Veer ◽  
Jeanne HM de Vries
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Selection Process ◽  
Saturated Fat ◽  
Mixed Integer ◽  
Monounsaturated Fat ◽  
Food Items ◽  
Milp Model ◽  
Selection Of

AbstractObjectiveTo support the selection of food items for FFQs in such a way that the amount of information on all relevant nutrients is maximised while the food list is as short as possible.DesignSelection of the most informative food items to be included in FFQs was modelled as a Mixed Integer Linear Programming (MILP) model. The methodology was demonstrated for an FFQ with interest in energy, total protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, total carbohydrates, mono- and disaccharides, dietary fibre and potassium.ResultsThe food lists generated by the MILP model have good performance in terms of length, coverage and R2 (explained variance) of all nutrients. MILP-generated food lists were 32–40 % shorter than a benchmark food list, whereas their quality in terms of R2 was similar to that of the benchmark.ConclusionsThe results suggest that the MILP model makes the selection process faster, more standardised and transparent, and is especially helpful in coping with multiple nutrients. The complexity of the method does not increase with increasing number of nutrients. The generated food lists appear either shorter or provide more information than a food list generated without the MILP model.

Resource selection by grazing herbivores on post-fire regrowth in a West African woodland savanna

2007 ◽  
Vol 34 (2) ◽  
pp. 77 ◽  
Author(s):  
Erik Klop ◽  
Janneke van Goethem ◽  
Hans H. de Iongh
Keyword(s):  
Resource Selection ◽  
West African ◽  
Tree Cover ◽  
Resource Selection Functions ◽  
Risk Of Predation ◽  
Savanna Fires ◽  
Grass Sward ◽  
Burnt Areas ◽  
Good Visibility ◽  
Selection Of

The preference of grazing herbivores to feed on grass regrowth following savanna fires rather than on unburnt grass swards is widely recognised. However, there is little information on which factors govern patterns of resource selection within burnt areas. In this study, we attempted to disentangle the effects of different habitat and grass sward characteristics on the utilisation of post-fire regrowth by nine species of ungulates in a fire-dominated woodland savanna in north Cameroon. We used resource-selection functions based on logistic regression. Overall, the resource-selection functions identified the time elapsed since burning as the most influential parameter in determining probability of use by ungulates, as most species strongly selected swards that were recently burned. This pattern might be related to nutrient levels in the grass sward. In addition, most species selected areas with high grass cover and avoided grass swards with high amounts of dead stem material. This is likely to increase bite mass and, hence, intake rates. The avoidance of high tree cover by some species may suggest selection for open areas with good visibility and, hence, reduced risk of predation. Body mass seemed to have no effect on differential selection of post-fire regrowth, irrespective of feeding style.

Research on Material Selection with Multi-Attribute Decision Method and G1 Method

2014 ◽  
Vol 952 ◽  
pp. 20-24 ◽  
Author(s):  
Xue Jun Xie
Keyword(s):  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Topsis Method ◽  
Attribute Weight ◽  
Multi Attribute Decision Making ◽  
Judgment Matrix ◽  
Optimal Material ◽  
Selection Of ◽  
Better Than

The selection of an optimal material is an important aspect of design for mechanical, electrical, thermal, chemical or other application. Many factors (attributes) need to be considered in material selection process, and thus material selection problem is a multi-attribute decision making (MADM) problem. This paper proposes a new MADM method for material selection problem. G1 method does not need to test consistency of the judgment matrix. Thus it is better than AHP. In this paper, firstly, we use the G1 method to determine the attribute weight. Then TOPSIS method is used to calculate the closeness of the candidate materials with respect positive solution. A practical material selection case is used to demonstrate the effectiveness and feasibility of the proposed method.

Does Audit Committee Disclosure of Partner-Selection Involvement Signal Greater Audit Quality?

2021 ◽  
Author(s):  
Jimmy F. Downes ◽  
Michelle A. Draeger ◽  
Abbie E. Sadler
Keyword(s):  
Audit Committee ◽  
Audit Quality ◽  
Selection Process ◽  
Partner Selection ◽  
Analyst Forecasts ◽  
Securities And Exchange Commission ◽  
Audit Committees ◽  
Voluntary Disclosures ◽  
Level Of Involvement ◽  
Selection Of

We investigate whether audit committees use voluntary disclosures to signal the committees’ higher level of involvement in the audit partner-selection process, which contributes to higher levels of audit quality. Audit committees more involved in the partner-selection process should ensure the selection of a more rigorous partner. We test this conjecture by first identifying partners new to audit engagements. We then compare audit quality for companies whose audit committees disclose involvement in the selection of the new partner to those without this disclosure. We find that this disclosure is positively associated with audit quality (measured using discretionary accruals, misstatements, and meeting consensus analyst forecasts by a very small margin). Our results are more salient for complex companies and those with powerful audit committees. These findings highlight that audit committees use their disclosures to signal involvement in the partner-selection process and are relevant to the Securities and Exchange Commission.

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