Procedure For Hybrid Process Analysis And Design

Performing business processes are a critical asset for manufacturing companies operating on highly competitive markets. Conventional approaches to business process improvement, however, are vulnerable to subjectivity and high manual efforts in their execution. These challenges can be overcome with recent databased approaches that semi-automate process analysis and design. Those approaches formalize methodical knowledge on weakness detection, measure derivation and performance evaluation for business processes into a performance-related decision support. By enabling the databased automation of these tasks this formalization helps to reduce efforts and subjectivity in process analysis and design. However, practice lacks a procedure for applying this decision support in operative business process improvement. Moreover, this decision support only formalises methodological knowledge. Operative business process improvement in practice additionally requires the consideration of experts' contextual knowledge about the company and the business process itself. This paper presents a hybrid approach for the analysis and design of business processes using a databased decision support. First, existing phase models for business process improvement are consolidated into a reference model. Second, an expert-based assessment is conducted on how decision support extends, modifies or eliminates the conventional tasks of process analysis and design. In the third step, a hybrid phase model for process analysis and design is developed that integrates the formalised methodological knowledge of the decision support and contextual knowledge of experts

Modeling and simulating for the treatment of subjectivity in the process of choosing personnel using fuzzy logic

Every day organizations pay more attention to Human Resources Management, because the human factor is preponderant in the results of it. One of the important policies is the Selection of Personnel, these are needed for their decision-making results, which in many organizations is done in a subjective manner and which brings consequences not very favorable to them. Taking this problem into account, it is decided to design and apply procedures and tools of fuzzy mathematics to reduce subjectivity and uncertainty in decision-making, creating work algorithms for this policy that includes multifactorial weights and analysis with measurement indicators that they allow tangible and reliable results. In this case of personnel selection, eight candidates were taken into account and by applying a diffuse evaluation system, the candidate with the highest rating of 98% was chosen. This indicates that subjectivity was reduced when choosing the best evaluated candidate

OBJECT-BASED ANALYSIS FOR URBAN LAND COVER MAPPING USING THE INTERIMAGE AND THE SIPINA FREE SOFTWARE PACKAGES

In this work we introduce an object-based method, applied to urban land cover mapping. The method is implemented with two open-source tools: SIPINA, a data mining software package; and InterIMAGE, an object-based image analysis system. Initially, segmentation, feature extraction and sample selection procedures are performed with InterIMAGE. In order to reduce the time and subjectivity involved to develop the decision rules in InterIMAGE, a data mining step is then carried out with SIPINA. In sequence, the decision trees delivered by SIPINA are analysed and encoded into InterIMAGE decision rules for the final classification step. Experiments were conducted using a subset of a GeoEye image, acquired in January 01, 2013, covering the urban portion of the municipality of Goianésia, Brazil. Five decision tree induction algorithms, available in SIPINA, were tested: ID3, C45, GID3, Assistant86 and CHAID. The TAU and Kappa coefficients were used to evaluate the results. The TAU values obtained were in the range of 0.66 and 0.70, while those for Kappa varied from 0.65 to 0.69.In this work we introduce an object-based method, applied to urban land cover mapping. The method is implemented with two open-source tools: SIPINA, a data mining software package; and InterIMAGE, an object-based image analysis system. Initially, segmentation, feature extraction and sample selection procedures are performed with InterIMAGE. In order to reduce the time and subjectivity involved to develop the decision rules in InterIMAGE, a data mining step is then carried out with SIPINA. In sequence, the decision trees delivered by SIPINA are analysed and encoded into InterIMAGE decision rules for the final classification step. Experiments were conducted using a subset of a GeoEye image, acquired in January 01, 2013, covering the urban portion of the municipality of Goianésia, Brazil. Five decision tree induction algorithms, available in SIPINA, were tested: ID3, C45, GID3, Assistant86 and CHAID. The TAU and Kappa coefficients were used to evaluate the results. The TAU values obtained were in the range of 0.66 and 0.70, while those for Kappa varied from 0.65 to 0.69.

APLIKASI PENDUKUNG KEPUTUSAN PENENTUAN PROMOSI JABATAN MENGGUNAKAN METODE PROFILE MATCHING (STUDI KASUS DI PT. PETROKIMIA GRESIK)

Human resources play an essential role in helping companies to achieve their vision and mission. As a large scale company, PT Petrokimia Gresik obviously needs to invest in Employees’ Performance Assessment System. It could act as a decision-making tool or a measure to evaluate and assess employees' performance at work so that theemployees’ promotion would be moreobjective and organized. Decision support system could be used to reduce the subjectivity in decision-making process. The decision support system that uses profile matching method or competency gap analysis was created based on the data which refers to the decree of the board of directors issued by PT Petrokimia Gresik. This system analyzes and assesses employee’s competencies by grouping and calculating core factors and secondary factors in each variable. The output of the calculation is a ranking of the candidates. By implementing decision support system which uses Profile Matching method, it assists company decision-making process in promotion decision based on employees’ competency scores more optimally

Concept Analysis of Female Sexual Subjectivity based on Walker and Avant's Method

Purpose: The purpose of this study was to clarify attributes, antecedents, and consequences of female sexual subjectivity. Methods: Walker and Avant's concept analysis process was used to analyze 27 studies from the current literature that relates to female sexual subjectivity. A systematic literature review of women's study in sociology, psychology, theology, law, health science, and nursing was reviewed. Results: The defining attributes of female sexual subjectivity were sexual self-awareness, sexual decision making, sexual desire, and good sexual communication with partner. The antecedents of female sexual subjectivity were social environment, sexual education, sexual experience, and interpersonal relationship. The consequences of female sexual subjectivity were safe sex, prevention of sexual victimization, and sexual satisfaction. Conclusion: Female sexual subjectivity is defined as sexual self-awareness, sexual decision making, sexual desire to seek sexual pleasure and safety, and effective communication with partner in terms of sexual behavior, sexual experience and sexual health. Based on these results, a scale measuring female sexual subjectivity is needed.ope

Concept Analysis of Female Sexual Subjectivity based on Walker and Avant's Method

PURPOSE: The purpose of this study was to clarify attributes, antecedents, and consequences of female sexual subjectivity. METHODS: Walker and Avant's concept analysis process was used to analyze 27 studies from the current literature that relates to female sexual subjectivity. A systematic literature review of women's study in sociology, psychology, theology, law, health science, and nursing was reviewed. RESULTS: The defining attributes of female sexual subjectivity were sexual self-awareness, sexual decision making, sexual desire, and good sexual communication with partner. The antecedents of female sexual subjectivity were social environment, sexual education, sexual experience, and interpersonal relationship. The consequences of female sexual subjectivity were safe sex, prevention of sexual victimization, and sexual satisfaction. CONCLUSION: Female sexual subjectivity is defined as sexual self-awareness, sexual decision making, sexual desire to seek sexual pleasure and safety, and effective communication with partner in terms of sexual behavior, sexual experience and sexual health. Based on these results, a scale measuring female sexual subjectivity is needed

The Technological Mediation of Morality - A Post-Phenomenological Approach to Moral Subjectivity and Moral Objectivity

This paper analyzes the moral relevance of technological artifacts and its possible role in ethical theory, by taking the postphenomenological approach that has developed around the work of Don Ihde into the domain of ethics. By elaborating a postphenomenological analysis of the mediating role of ultrasound in moral decisions about abortion, the article argues that technologies embody morality, and help to constitute moral subjectivity. This technological mediation of the moral subject is subsequently addressed in terms of Michel Foucault’s ethical position, in which ethics is about actively co–shaping one’s moral subjectivity. Integrating Foucauldian ethics and postphenomenology, the article argues that the technologicalmediation ofmoral subjectivity should be at the heart of an ethical approach that takes the moral dimensions of technology seriously

Investigation of Human Subjectivity during Failure Mode Effects Analysis (FMEA)

Several concerns with Failure Modes and Effects Analysis (FMEA), including acknowledgement that the process contains human subjectivity, can be found in literature; however very little research has been conducted to identify where and to what extent this variation is found. This thesis investigated sources of variation related to human decision making within FMEA. Participants were required to determine the effects of given failure modes by selection of a severity level given varied input information. The study found that participants were not able to sift through the provided information and identify the appropriate cues relating data relevance to the failure mode under analysis. Thus, it appeared that more information will reduce conservatism – however the quality of the information and experience level does not have an effect. The study concluded that FMEAs contain significant subjectivity and data quality assessment must form part of the FMEA framework

Beyond subjective and objective in statistics

We argue that the words "objectivity" and "subjectivity" in statistics discourse are used in a mostly unhelpful way, and we propose to replace each of them with broader collections of attributes, with objectivity replaced by transparency, consensus, impartiality, and correspondence to observable reality, and subjectivity replaced by awareness of multiple perspectives and context dependence. The advantage of these reformulations is that the replacement terms do not oppose each other. Instead of debating over whether a given statistical method is subjective or objective (or normatively debating the relative merits of subjectivity and objectivity in statistical practice), we can recognize desirable attributes such as transparency and acknowledgment of multiple perspectives as complementary goals. We demonstrate the implications of our proposal with recent applied examples from pharmacology, election polling, and socioeconomic stratification.Comment: 35 page