Risk of employing an evolvable production system

Nowadays manufacturing companies are facing a more challenging environment due to the unpredictability of the markets in order to survive. Enterprises need to keep innovating and deliver products with new internal or external characteristics. There are strategies and solutions, to different organisational level from strategic to operational, when technology is growing faster in operational level, more specifically in manufacturing system. This means that companies have to deal with the changes of the emergent manufacturing systems while it can be expensive and not easy to be implement. An agile manufacturing system can help to cope with the markets changeability. Evolvable Production Systems (EPS) is an emergent paradigm which aims to bring new solutions to deal with changeability. The proposed paradigm is characterised by modularity and intends to introduce high flexibility and dynamism at shop floor level through the use of the evolution of new computational devices and technology. This new approach brings to enterprises the ability to plug and unplug new devices and allowing fast reformulation of the production line without reprogramming. There is no doubt about the advantages and benefits of this emerging technology but the feasibility and applicability is still under questioned. Most researches in this area are focused on technical side, explaining the advantages of those systems while there are no sufficient works discussing the implementation risks from different perspective, including business owner. The main objective of this work is to propose a methodology and model to identify, classify and measure potential risk associated with an implementation of this emergent paradigm. To quantify the proposed comprehensive risk model, an Intelligent Decision system is developed employing Fuzzy Inference System to deal with the knowledge of experts, as there are no historical data and sufficient research on this area. The result can be the vulnerability assessment of implementing EPS technology in manufacturing companies when the focus is more on SMEs. The present dissertation used the experts’ knowledge and experiences, who were involved in FP7 project IDEAS, which is one of the leading projects in this area

META-MODELING CONSTRUCTS FOR REQUIREMENTS REUSE (RR): SOFTWARE REQUIREMENTS PATTERNS, VARIABILITY AND TRACEABILITY

Reuse is a fundamental activity, which increases quality and productivity of software products. Reuse of software artifacts, such as requirements, architectures, and codes can be employed at any developmental stage of software. However, reuse at a higher level of abstraction, for instance at requirements level, provides greater benefits in software development than when applied at lower level of abstraction for example at coding level. To achieve full benefits of reuse, a systematic approach and appropriate strategy need to be followed. Although several reuse approaches are reported in the literature, these approaches lack a key strategy to synergize some essential drivers of reuse, which include reusable structure, variability management (VM) and traceability of software artifacts. In line with this, we make our contribution in this paper by (1) presenting the concepts and importance of software requirements patterns (SRP) for reusable structure; (2) proposing a strategy, which combines three sub-disciplines of Software Engineering (SE) such as Requirements Engineering (RE), Software Product Line Engineering (SPLE) and Model-driven Engineering (MDE); (3) proposing a meta-modeling constructs, which include SRP, VM and traceability and; (4) Relationship amongst the three sub-disciplines of the SE. This is a novel approach and we believe it can support and guide researchers and practitioners in SE community to have greater benefits of reuse during software developments

Forecasting modeling and analytics of economic processes

The book will be useful for economists, finance and valuation professionals, market researchers, public policy analysts, data analysts, teachers or students in graduate-level classes. The book is aimed at students and beginners who are interested in forecasting modeling and analytics of economic processes and want to get an idea of its implementation

Challenges of Public Housing in a Democratic Nigeria: a Case Study of the Presidential Mandate Housing Scheme

This study examined the challenges of public housing in a democratic Nigeria using the Presidential Mandate Housing Scheme as a case study. Data were derived from purposively selected members of staff of public institutions charged with the responsibility of implementing this scheme in urban areas of Southern Nigeria through interview enquiries and participant observation. These were analyzed using content analysis. The result shows that the scheme was implemented in very few States in Southern part of Nigeria with miniscule number of housing units constructed in those States. Poor programme conception and planning, funding inadequacies and the dearth of preferred building materials were identified as the key challenges that led to the failure of this scheme. The paper argues that despite the return of democratic rule in 1999 and subsequent adoption of the New National Housing and Urban Development Policy in 2002, low organizational capacity of public housing agencies, the lack of collaborations between these agencies and private sector organizations and the none availability of reliable local building materials constitute serious impediments to smooth and successful implementation of public housing programmes in Nigeria. It therefore suggests that the prospects of public housing in democratic Nigeria are contingent upon addressing these challenge

Semantic Similarity of Spatial Scenes

The formalization of similarity in spatial information systems can unleash their functionality and contribute technology not only useful, but also desirable by broad groups of users. As a paradigm for information retrieval, similarity supersedes tedious querying techniques and unveils novel ways for user-system interaction by naturally supporting modalities such as speech and sketching. As a tool within the scope of a broader objective, it can facilitate such diverse tasks as data integration, landmark determination, and prediction making. This potential motivated the development of several similarity models within the geospatial and computer science communities. Despite the merit of these studies, their cognitive plausibility can be limited due to neglect of well-established psychological principles about properties and behaviors of similarity. Moreover, such approaches are typically guided by experience, intuition, and observation, thereby often relying on more narrow perspectives or restrictive assumptions that produce inflexible and incompatible measures. This thesis consolidates such fragmentary efforts and integrates them along with novel formalisms into a scalable, comprehensive, and cognitively-sensitive framework for similarity queries in spatial information systems. Three conceptually different similarity queries at the levels of attributes, objects, and scenes are distinguished. An analysis of the relationship between similarity and change provides a unifying basis for the approach and a theoretical foundation for measures satisfying important similarity properties such as asymmetry and context dependence. The classification of attributes into categories with common structural and cognitive characteristics drives the implementation of a small core of generic functions, able to perform any type of attribute value assessment. Appropriate techniques combine such atomic assessments to compute similarities at the object level and to handle more complex inquiries with multiple constraints. These techniques, along with a solid graph-theoretical methodology adapted to the particularities of the geospatial domain, provide the foundation for reasoning about scene similarity queries. Provisions are made so that all methods comply with major psychological findings about people’s perceptions of similarity. An experimental evaluation supplies the main result of this thesis, which separates psychological findings with a major impact on the results from those that can be safely incorporated into the framework through computationally simpler alternatives

The Measure of a Man: A Critical Methodology for Investigating Essentialist Beliefs about Sexual Orientation Categories in Japan and the United States

Methods for studying laypeople’s beliefs about sexual orientation categories have evolved in step with larger theoretical and epistemological shifts in the interdisciplinary study of sexuality. The dominant approach to measuring laypeople’s sexual orientation beliefs over the past decade was made possible through an epistemological shift from a nature vs. nurture paradigm to a social constructionist theoretical model of psychological essentialism (Medin, 1989; Medin & Ortony, 1989; Rothbart & Taylor, 1992). Despite this shift, I argue that the forced-response scale-based survey methodologies typically used to operationally define essentialist beliefs about sexual orientation at best only partially realize the social constructionist potential of this underlying theory. By critically reconstructing this theory of psychological essentialism from an epistemological stance rooted in discourse, I developed a methodology reliant not on investigators’ but rather laypeople’s own mobilization of culturally shared discourses of sexuality. In testing this methodology, I focus on one theoretical dimension of psychological essentialism—inductive potential, or the extent to which shared knowledge about category membership allows for inference of a wealth of associated information about specific category members. I explored this critical methodology through a mixed-method empirical investigation of laypeople’s beliefs in the inductive potential of sexual orientation categories in relation to two components of sexuality: sexual desire and romantic love. I sought to answer two research questions: To what extent, and in what ways, do laypeople discursively mobilize inductive potential beliefs about homosexual or heterosexual men’s sexual desire and romantic love? To what extent, and in what ways, is laypeople’s discursive mobilization of those inductive potential beliefs explained by their gendered and/or cultural contexts? In Study 1, I primed cultural discourses of sexual orientation categories prior to an impression formation task. Students from four-year public universities in the Tokyo (N = 197; ages 18-23) and New York City (N = 208; ages 18-25) metropolitan areas read a series of fictional diary entries featuring a male college student (the target) describing his attraction to either a female or male classmate. Each participant then manually drew a Euler diagram comprised of circles representing their impressions of the relative importance (circle size) and interrelationships between (circle overlap) six identities associated with the target. To the extent participants engaged in inductive potential beliefs, I predicted that: (H1) participants would perceive sexual desire as more centrally defining of a same-sex attracted male target relative to an other-sex attracted male target; and (H2) participants would perceive romantic love as less centrally defining of a same-sex attracted male target relative to an other-sex attracted male target. Fitting multiple circle size and overlap outcomes to separate generalized linear models, I found a consistent pattern of support for both predictions. Cultural and gendered differences added additional nuance to these experimental patterns: Japanese participants associated men with greater sexual desire and less romantic love relative to their US peers, regardless of perceived sexual orientation. Additionally, US and Japanese men, compared to women, appeared to associate these two components of sexuality more frequently with men’s social roles. As such, while these results strongly suggested the presence of participants’ inductive potential beliefs about sexual orientation categories, they also pointed to important variation across culture and gender. In an effort to discursively unpack the inductively rich meanings associated with these additional gendered and cultural patterns, as well as establish the cultural credibility of my interpretations of the results of this experimental manipulation, in a second study I engaged separate peer focus groups in New York City (N = 20; ages 19-25) and Tokyo (N = 21; ages 20- 24) in discursively interpreting the Euler diagrams produced in Study 1. Using thematic analysis, I identified three themes concerning the ways several distinct sexual orientation discourses were culturally understood in the US and Japan; the ways those discourses were imbricated with other distinct discourses of cultural identity; and the ways laypeople voiced resistance to these sexual orientation discourses. I concluded that the experimental pattern from Study 1 could be explained in part through US participants’ rejection of an essentialist discourse of binary sexual orientation in favor of a focus on sexual practices; Japanese participants’ responses marked instead a troubling of essentialist discourses of binary gender. Taken together, these findings from Study 1 and 2 implicate sexual orientation as an inductively potent discourse in laypeople’s construction of beliefs about male sexuality across cultural contexts and genders, albeit in cultural distinct ways. These results thus add to past research on essentialist beliefs while also highlighting a need for critical methodologies sensitive to the ways culturally embedded and multiply imbricated transnational discourses of sexuality inform beliefs about men

Efficient Decision Support Systems

This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped upon decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers