Analysis of the energetic and productive effects derived by the installation of a conveyor belt in the metal-mechanic industry

Energy efficiency is a topic of interest due to the financial decisions that involve; high costs must be avoided and regulated by means of strategic decision with low-cost invest. The research presents an operational improvement in the production chain of metal parts in a metal-mechanic micro-enterprise by means of the installation of a conveyor belt, a comparison is made between the energy consumption of the previous system and the system with the conveyor belt, and the results present improvements in execution times, production and energy consumption per number of manufactured parts

Analysis of the Energetic and Productive Effects Derived by the Installation of a Conveyor Belt in the Metal-mechanic Industry

Energy efficiency is a topic of interest due to the financial decisions that involve; high costs must be avoided and regulated by means of strategic decision with low-cost invest. The research presents an operational improvement in the production chain of metal parts in a metal-mechanic micro-enterprise by means of the installation of a conveyor belt, a comparison is made between the energy consumption of the previous system and the system with the conveyor belt, and the results present improvements in execution times, production and energy consumption per number of manufactured parts. Keywords: Energy efficiency, Metal-mechanic industry, Conveyer belt JEL Classifications: L61, Q41 DOI: https://doi.org/10.32479/ijeep.706

Design and development of a custom system of technology surveillance and competitive intelligence in SMEs

Making strategic decisions is a complex process that requires reliable and up-to-date information. It is therefore necessary to have tools that facilitate the information management. Technology Surveillance (TS) and Competitive Intelligence (CI) are two disciplines that seek to obtain accurate and up-to-date information. Clearly, the web is the largest and most important source of information, but their destructuring and disorganization requires tools that help to manage it. This work presents a model for TS and CI using Web Mining techniques such as ranking algorithm of web pages based on machine learning, i.e. the Advanced Cluster Vector Page Ranking (ACVPR) algorithm

A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study

Computerized Tomography Scanners (CT-SCAN) provide detailed cross-sectional images of the human body which are employed for the easier detection and further analysis of abnormalities concerning the functionality and structure of the skeleton, tissues, and organs. However, the appropriate CT-SCAN selection is an arduous task considering the complexity and high cost of these medical devices. This decision is even more sharpener in hospitals from Low-and-Middle-Income-Countries (LMIC) where the available budget is usually restricted and correct resource allocation should be therefore ensured while granting the greatest impact on the timeliness and efficacy of healthcare services. In this framework, multiple criteria from diverse fields need to be taken into account to satisfy the intricate requirements of users. In this regard, it is necessary to fully elicit the expectations of stakeholders as well as identify their importance in an overall decision-making context. To address these gaps, this study proposes a novel integration between the Fuzzy Analytic Hierarchy Process (FAHP) and VIKOR methods for the CT-SCAN selection problem. Initially, a Multi-Criteria Decision-Making (MCDM) model will be designed for selecting the most suitable CT-SCAN option for a particular LMIC hospital. Then IF-AHP will be applied to calculate the relative priorities of criteria and sub-criteria under uncertainty. Ultimately, VIKOR will be implemented for obtaining an overall decision-making context. To address these gaps, this study proposes a novel integration between the Fuzzy Analytic Hierarchy Process (FAHP) and VIKOR methods for the CT-SCAN selection problem. Initially, a Multi-Criteria Decision-Making (MCDM) model will be designed for selecting the most suitable CT-SCAN option for a particular LMIC hospital. Then IF-AHP will be applied to calculate the relative priorities of criteria and sub-criteria under uncertainty. Ultimately, VIKOR will be implemented for obtaining an overall appropriateness index per CT-SCAN candidate and thereby identifying the most pertinent one (s) for a specific LMIC medical institution. © 2021, Springer Nature Switzerland AG