Supporting Complex Business Decisions with a Fuzzy Mobile Assistant

Researchers have recognized the importance of semantic expressiveness in understanding and solving complex problems and have identified a need to incorporate reasoning about uncertainty into decision tools that assist business managers. This study extends current approaches and develops new tools to allow artificial mobile assistants to manage rule-driven consultations by capturing and recommending problem solutions through natural language interfaces. A prototype assistant is described to support fuzzy knowledge representations and fuzzy rule-based consultations. The prototype’s application is implemented in a Windows 8 mobile device and applied in a case study of business outsourcing decisions

Uncertainty analysis of business components in Iran with fuzzy systems: By comparing hypermarkets and Net markets

Purpose: Today's businesses, especially in Iran, face many factors and challenges, one of which is uncertainty in inputs and laws and regulations. Especially in the current situation and with the development of e-commerce on the one hand and on the other hand despite critical conditions such as COVID-19, the purpose of this article is a comparison between businesses with the study of hypermarkets and net markets. Methodology: This research is a descriptive-analytical type that after explaining the goals and components of organizational business using library resources and Internet search, interviews and questionnaires, from a multi-criteria decision approach and fuzzy logic for effective analysis The implications of organizational business are exploited. Two areas of physical retail businesses such as hypermarkets and virtual ones such as net markets have been compared and analyzed. The necessary decisions for the activities of these businesses are inferred using the principle-based principles of fuzzy systems. Findings: The result of the research has been that due to the capabilities of the development of net markets such as the effective use of information technology and experts, their comprehensive development and growth in the future is more realistic that The ability to extend this to other areas of virtual business. Especially in spite of critical conditions such as the spread of pandemics, the popularity of using net markets has increased. Originality/Value: The virtual and internet business platform has not yet been significantly developed in Iran. The most important approach in this study is to examine the components of business in Iran and a comparative study to change attitudes toward e-business

Managing multi-cultural engineering teams in Egypt

The exercise of project management altered drastically over the past two decades and is currently driven by the growing demand of standardizing the industry’s practice and the emerging globalization of the industry. According to the literature review, one of the obstacles facing the development of the engineering teams in both developed and developing countries is the poor performances of multi-located and multi-cultural teams. The literature review reflects on the influences of the culture complexity and social diversity on the multi-cultural team’s performances. There have been a number of empirical studies that focus on the performances of the effectiveness of these teams. However most of the studies carried out focused on the individual’s experience within the context of developed countries. Given the global trend towards internationalization, there is a need to understand the parameters that determine the success of the foreign firms operating in the Egyptian construction market. This thesis is intended to explore the influences of the multi-national firms on the designers in the Egyptian construction industry and the various obstacles faced by the formal due to the diversity in their teams. The research employed a qualitative experiment on multi-cultural multi-located teams in one of the foreign firms in Egypt in order to capture the influences of the social and culture diversity on their performances. A quantitative survey was also conducted to gather relevant information about the multi-cultural teams from the Egyptian and foreign leaders in the construction industry. The verdict of the mixed method methodology illustrates the importance of considering the cultural index and various managerial techniques while operating in Egypt. The data gathered is analyzed using the Porter model, which was amended by various scholars to suit the needs of the designers in the construction industry. The data analyzed proposes a framework that includes key parameters to ensure superior performance by the multi-located and multi-cultural design engineering teams. The validation of the framework is conducted by follow-up deliberations with Egyptian and international experience managers from select companies participating in global engineering activities. The participants confirmed the significant of the proposed framework. A verification experiment is conducted on multi-cultural virtual teams, originally involved in the qualitative experiment, to ensure the significance of the framework developed in the real life situation. Following the framework’s establishment, a model is developed to assist the foreign companies’ rate their compatibility with the Egyptian construction industry. The aim of the model is to elevate the performances of the international company from a managerial perspective and provide recommendations in regard to the challenges faced while operating in Egypt. The model is validated through an external validity exercise. The thesis thus aimed at understanding the challenges, motives, benefits of the multi-cultural firms working in the Egyptian design construction industry. The framework and model developed are intended to provide a significant step to launch a successful operation of the multi-cultural and multi-located engineering teams in Egypt. The thesis concludes the importance of considering social and cultural aspects while developing a managerial approach which is to be formulated through an effective straightforward organizational culture. However with the continuous changes in the construction industry, it is highly recommended that future research and experiment be conducted on the multi-cultural teams in Egypt taking various socio-economic variations into consideration

Uncertain Multi-Criteria Optimization Problems

Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems

Sustainable supply chain management towards disruption and organizational ambidexterity:A data driven analysis

Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation

Using fuzzy PROMETHEE to select countries for developmental Aid

Wealthy nations continue to demonstrate their unwavering support to improving conditions and the general well-being of poor countries in spite of the recent economic crises. However, as developmental aid relatively shrinks, both Aid donors and recipient countries have shown keen interest in methodologies used in evaluating developmental assistance programs. Evaluation of aid programs is seen as a complex task mainly because of the several non-aid factors that tend to affect overall outcomes. Adding to the complexity are the subjective sets of criteria used in Aid evaluations programs. This paper proposes a two stage framework of fuzzy TOPSIS and sensitivity analysis to demonstrate how aid-recipient countries can be evaluated to deepen transparency, fairness, value for money and sustainability of such aid programs. Using the Organisation for Economic Co-operation and Development (OECD) set of subjective criteria for evaluating aid programs; a numerical examplepre-defined by linguistic terms parameterized by triangular fuzzy numbers is provided to evaluate aid programs. Fuzzy PROMETHEE is used in the first stage to evaluate and rank aid-recipients followed by a comparative analysis with Fuzzy VIKOR and Fuzzy TOPSIS to ascertain an accurateness of the method used. A sensitivity analysis is further added that anticipates possible influences from lobbyists and examines the effect of that bias in expert ratings on the evaluation process. The result shows a framework that can be employed in evaluating aid effectiveness of recipient-countries

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Analysis of Decision Support Systems of Industrial Relevance: Application Potential of Fuzzy and Grey Set Theories

The present work articulates few case empirical studies on decision making in industrial context. Development of variety of Decision Support System (DSS) under uncertainty and vague information is attempted herein. The study emphases on five important decision making domains where effective decision making may surely enhance overall performance of the organization. The focused territories of this work are i) robot selection, ii) g-resilient supplier selection, iii) third party logistics (3PL) service provider selection, iv) assessment of supply chain’s g-resilient index and v) risk assessment in e-commerce exercises. Firstly, decision support systems in relation to robot selection are conceptualized through adaptation to fuzzy set theory in integration with TODIM and PROMETHEE approach, Grey set theory is also found useful in this regard; and is combined with TODIM approach to identify the best robot alternative. In this work, an attempt is also made to tackle subjective (qualitative) and objective (quantitative) evaluation information simultaneously, towards effective decision making. Supplier selection is a key strategic concern for the large-scale organizations. In view of this, a novel decision support framework is proposed to address g-resilient (green and resilient) supplier selection issues. Green capability of suppliers’ ensures the pollution free operation; while, resiliency deals with unexpected system disruptions. A comparative analysis of the results is also carried out by applying well-known decision making approaches like Fuzzy- TOPSIS and Fuzzy-VIKOR. In relation to 3PL service provider selection, this dissertation proposes a novel ‘Dominance- Based’ model in combination with grey set theory to deal with 3PL provider selection, considering linguistic preferences of the Decision-Makers (DMs). An empirical case study is articulated to demonstrate application potential of the proposed model. The results, obtained thereof, have been compared to that of grey-TOPSIS approach. Another part of this dissertation is to provide an integrated framework in order to assess gresilient (ecosilient) performance of the supply chain of a case automotive company. The overall g-resilient supply chain performance is determined by computing a unique ecosilient (g-resilient) index. The concepts of Fuzzy Performance Importance Index (FPII) along with Degree of Similarity (DOS) (obtained from fuzzy set theory) are applied to rank different gresilient criteria in accordance to their current status of performance. The study is further extended to analyze, and thereby, to mitigate various risk factors (risk sources) involved in e-commerce exercises. A total forty eight major e-commerce risks are recognized and evaluated in a decision making perspective by utilizing the knowledge acquired from the fuzzy set theory. Risk is evaluated as a product of two risk quantifying parameters viz. (i) Likelihood of occurrence and, (ii) Impact. Aforesaid two risk quantifying parameters are assessed in a subjective manner (linguistic human judgment), rather than exploring probabilistic approach of risk analysis. The ‘crisp risk extent’ corresponding to various risk factors are figured out through the proposed fuzzy risk analysis approach. The risk factor possessing high ‘crisp risk extent’ score is said be more critical for the current problem context (toward e-commerce success). Risks are now categorized into different levels of severity (adverse consequences) (i.e. negligible, minor, marginal, critical and catastrophic). Amongst forty eight risk sources, top five risk sources which are supposed to adversely affect the company’s e-commerce performance are recognized through such categorization. The overall risk extent is determined by aggregating individual risks (under ‘critical’ level of severity) using Fuzzy Inference System (FIS). Interpretive Structural Modeling (ISM) is then used to obtain structural relationship amongst aforementioned five risk sources. An appropriate action requirement plan is also suggested, to control and minimize risks associated with e-commerce exercises