Ranking strategic objectives in a strategy map based on logarithmic fuzzy preference programming and similarity method

This paper aims to rank strategic objectives in a strategy map to improve the efficiency of strategy implementation. Objectives are ranked based on strategic destinations using the combination of Logarithmic Fuzzy Preference Programming (LFPP) and similarity method. In the first step, the weight of strategic destinations is obtained using LFPP technique; then objectives are ranked by similarity method. Similarity method uses the concept of alternative gradient and magnitude for effectively solving the general multi-criteria analysis problem. Finally, objectives are ranked in an actual strategy map. As a practical and efficient tool, the proposed approach can assist managers and decision-makers in drawing more efficient output from strategy maps.publishe

Ontology for performance measurement indicators’ comparison

Indicators are widely used by organizations as a way of evaluating, measuring and classifying organizational performance. As part of performance evaluation systems, indicators are often shared or compared across internal sectors or with other organizations. However, indicators can be vague and imprecise, and also can lack semantics, making comparisons with other indicators difficult. Thus, this paper presents a knowledge model based on an ontology that may be used to represent indicators semantically and generically, dealing with the imprecision and vagueness, and thus facilitating better comparison. Semantic technologies are shown to be suitable for this solution, so that it could be able to represent complex data involved in indicators comparison

Data quality assessment in performance measurement

Data quality is a multi-dimensional concept and this research will explore its impact in performance measurement systems. Despite the large numbers of publications on the design of performance measurement systems (PMSs) and the definition of critical success factors to develop Performance Measures (PMs), from the data user perspective there are possibilities of finding data quality problems, that may have a negative impact in decision making. This work identifies and classifies uncertainty components of PMSs, and proposes a qualitative method for PMs’ quality assessment. Fuzzy numbers are used to represent PMs’ uncertainty and a method is proposed to calculate an indicator of the compliance between a PM and a target value that can serve as a risk indicator for the decision-maker.FEDER - Programa Operacional Fatores de Competitividade (COMPETE)Fundação para a Ciência e Tecnologia (FCT) - FCOMP-01-0124-FEDE

Supply Chain Management and Management Science: A Successful Marriage

The last century has witnessed extant studies on the applications of Management Science (MS) to a diverse set of Supply Chain Management (SCM) issues. This paper provides an overview of the contribution of MS within SCM. A framework is developed in this paper with a sampling of MS contributions to major SCM dimensions. Future research directions are presented

Fuzzy Analytical Hierarchy Process for Supplier Selection: A Case Study in An Electronic Component Manufacturer

Supplier selection has become one of the essential effects on the entire electronic supply chain network to gain competitiveness. In the upstream supply chain, companies are able to achieve a high quality and value of products to reduce the potential risks from both internal and external stakeholders by selecting the right suppliers. The case study company produces a nano sim-card connector in which four different types of raw materials are processed into different parts. Currently, the case study company selects each raw material supplier based on its appraisal record. Nevertheless, the appraisal record is measured by the department of procurement. When candidate suppliers are categorized at the same level, the cost becomes the priority criteria to select the supplier, which increases the potential risks of, for example, the components defect rate, a penalty from clients, and a reduction in orders. This paper proposed a Fuzzy analytic hierarchy process (FAHP) model for the selection of raw material suppliers by collecting data from two of the company’s departments (procurement and engineering) and the clients to address qualitative and quantitative elements, uncertainty, and linguistic vagueness based on the company’s scenario in two parts. First, the main and sub-criteria can be weighted using a decision-maker (DM) to identify the level of importance. Second, the FAHP model also dealt with personal preferences and judgement so that the right supplier(s) for each raw material could be selected by collecting and computing the data from the respondents. Then, the sensitivity analysis is applied to observe how the decisions change when the model parameters in the top five sub-criteria change. The proposed model can offer better information and solutions for the DM in the case study company to differentiate the crucial main and sub-criteria and select the suitable raw material suppliers effectively

A Survey on Actionable Knowledge

Actionable Knowledge Discovery (AKD) is a crucial aspect of data mining that is gaining popularity and being applied in a wide range of domains. This is because AKD can extract valuable insights and information, also known as knowledge, from large datasets. The goal of this paper is to examine different research studies that focus on various domains and have different objectives. The paper will review and discuss the methods used in these studies in detail. AKD is a process of identifying and extracting actionable insights from data, which can be used to make informed decisions and improve business outcomes. It is a powerful tool for uncovering patterns and trends in data that can be used for various applications such as customer relationship management, marketing, and fraud detection. The research studies reviewed in this paper will explore different techniques and approaches for AKD in different domains, such as healthcare, finance, and telecommunications. The paper will provide a thorough analysis of the current state of AKD in the field and will review the main methods used by various research studies. Additionally, the paper will evaluate the advantages and disadvantages of each method and will discuss any novel or new solutions presented in the field. Overall, this paper aims to provide a comprehensive overview of the methods and techniques used in AKD and the impact they have on different domains

The Fuzzy Logic Methodology for Evaluating the Causality of Factors in Organization Management

The paper is concerned with solving the problem of factor causality using the tools of the fuzzy set theory. The paper formulates the problem of causal relations in a broad sense and analyzes the methods for its solution with an emphasis on the socioeconomic aspects. For this purpose, the system approach, comparative experiment, economic and mathematical modeling, and other general scientific methods are used. The authors suggest that the causality of factors be studied based on the theory of fuzzy binary relations using the mathematical tools of Goguen’s fuzzy implication. As an example, the paper describes the effect of organizational culture indicators under the Denison’s model on the key performance indicators of an organization

THE EFFECT OF COMPETING ABILITY AND THE ROLE OF TRIPLE HELIX MODEL ON PERFORMANCE OF MICRO-SMALL-MIDDLE ENTERPRISES IN SIDOARJO REGENCY

The objective of this research is to understand the effect of competing ability and the role of Triple Helix Model on performance of microsmall-middle enterprises (MSME) in Sidoarjo Regency. Research population includes all MSME in Sidoarjo Regency. The sample of research is owner and manager of Sidoarjo Regency MSME counted for 30 respondents. Data analysis technique is using Partial Least Square (PLS) supported with Software Smart PLS 2.0 M3. In this research, PLS is a method to construct the possible models the author can predict if involving too many factors. PLS can be used as a confirmation of theory, and also be useful to develop a relationship across variables which its theoretical base is lacking previously. The proposed hypothesis can also be tested with PLS. Result of research indicates that competing ability delivers a meaningful contribution to MSME performance. Triple Helix Model however does not have meaningful contribution to MSME performanc

ZigBee Pulse Oximeter

This work presents a prototype to adapt a standard pulse oximeter by turning it into a wireless device using ZigBee. Patient’s data are extracted and transmitted to the server in real time through a Wireless Sensor Network. This Wireless Sensor Network is deployed using the mesh topology in order to reach the maximum reliability in the communications. The pulse oximeter is based on a Nellcor DS-100a probe and is controlled by an Arduino FIO with a XBee wireless modem. The amplifier circuit which is designed to extract the information of the pulse oximeter probe is included in this work