Implementation Multi-criteria Decision Making Technique in Overhaul Power Plants Projects

The aim of this study is to propose a multi-criteria decision making approach (MCDM) in order to evaluate Qualitative Factors in Overhaul Power Plants Projects, with due attention to the rating of qualitative criteria are considered as linguistic variables. Overhaul of the power generation plants affects the performance process. Some qualitative factors are of great importance in improving the quality of the process and avoiding wasting resources. The combined method of Analytic Network Process (ANP) and DEMATEL technique were used in this study. Four main and 16 secondary factors were identified in the final classification. Empirical results show that the proposed method is viable approaches in solving problem. When the performance ratings are vague and imprecise, this MCDM is a preferred solution method. The results show 8 highest Factors effects on the overhaul of the power plants respectively. Keywords: MCDM; ANP; DEMATEL; Overhaul. JEL Classification: O2

Selection Of Project Managers In Construction Firms Using Analytic Hierarchy Process (AHP) And Fuzzy Topsis: A Case Study

Selecting a project manager is a major decision for every construction company. Traditionally, a project manager is selected by interviewing applicants and evaluating their capabilities by considering the special requirements of the project. The interviews are usually conducted by senior managers, and the selection of the best candidate depends on their opinions. Thus, the results may not be completely reliable. Moreover, conducting interviews for a large group of candidates is time-consuming. Thus, there is a need for computational models that can be used to select the most suitable applicant, given the project specifications and the applicants’ details. In this paper, a case study is performed in which a Fuzzy Multiple Criteria Decision Making (FMCDM) model is used to select the best candidate for the post of project manager in a large construction firm. First, with the opinions of the senior managers, all the criteria and sub-criteria required for the selection are gathered, and the criteria priorities are qualitatively specified. Then, the applicants are ranked using the Analytic Hierarchy Process (AHP), approximate weights of the criteria, and fuzzy technique for order performance by similarity to ideal solution (TOPSIS). The results of the case study are shown to be satisfactory

Nutritional effects of additives containing organic acids, cinnamaldehyde and permeabilizer on some growth indices and intestinal structure of whiteleg shrimp, Litopenaeus vannamei

This study investigated the effects of feed additive containing organic acids, cinnamaldehyde and permeabilizers on growth rate and intestine structure of whiteleg shrimp (Litopenaeus vannamei). So, five isoproteic (∼38%) diets containing different levels of 3, 6, 9 and 12 g/kg (T3, T6, T9 and T12, respectively) commercial additive Biotronic Top 3 were formulated and a diet without this additive were considered as a control. Shrimps (2.7 g in average weight) were randomly placed in fifteen 300-liter fiberglass tanks containing sea water (20 shrimps in each tank) and each experimental treatment was in triplicate. Shrimps were fed at the rate of 7% of their body weight three times a day. At the end of the experiment, the average final weight in shrimps fed with diets containing additives was significantly higher than the control group (p0.05). The food conversion ratio in the treatments fed with additives, (except for T9) was significantly lower than the control group (p<0.05). Examining the shrimp intestine showed that using this additive elevated the height of the intestinal villi. In general, according to the findings of this study, dietary supplementation of Biotronic Top 3 at 3 g/kg can enhance the growth rate and intestine histology of whiteleg shrimp

Larval rearing and ontogeny of digestive enzyme activities in yellowfin seabream (Acanthopagrus latus, Houttuyn 1782)

The present research was conducted to provide insight into digestive larval capacity in Acanthopagrus latus larvae from hatching up to 30 days after hatching (DAH). Newly hatched larvae were stocked into six 300-L cylindrical polyethylene tanks at a density of larvae 50 larvae/L and reared by means of the green water system using Nannochloropsis oculata (0.5 × 106/mL). After mouth opening, larvae were fed with rotifers (5–16 individual/mL) from 2 to 20 DAH; then, Artemia nauplii (0.5–3.0 individuals/mL) were offered to larvae from 18 to 30 DAH, meanwhile a commercial microdiet was offered to larvae from 25 to 30 DAH. Larval performance in terms of growth and survival, and the assessment of the activity of selected digestive enzymes ontogeny of digestive enzymes activities was evaluated in larvae sampled at 0 (hatching), 7, 15, 22 and 30 DAH. Larvae showed an exponential growth characterized by two different growth stanzas, a first one characterized by slow growth rates comprised between hatching to 15 DAH (4.7 ± 0.2 mm), followed by a period of faster growth rates between 16 and 30 DAH (7.5 ± 0.6 mm). The activities of the brush border (alkaline phosphatase, ALP) and cytosolic (leucine-alanine peptidase, LAP) enzymes, as well as those of the pancreatic ones like total alkaline proteases, bile salt-activated lipase and α-amylase were detected from the mouth opening stage. Total activities of pancreatic and gastric enzymes increased with larval growth showing an enhancement of digestive capacities with larval age and size. The intestinal maturation in A. latus as assessed by the ratio of AP to LAP did not occur as expected by end of the first month of life suggesting the complete establishment of digestive luminal processes may take place at older ages. This study related to the growth patterns and ontogenic changes in activity of pancreatic, gastric and intestinal enzymes in A. latus and their nutritional regulation may be considered as the first step for improving the larviculture, as well as assessing and refining the nutritional requirements during the larval and early juvenile stages of this sparid species.info:eu-repo/semantics/acceptedVersio

Designing evaluation and ranking model for supply chain risk with multi-criteria decision approach

El objetivo de esta investigación es evaluar y clasificar los riesgos en la cadena de suministro en la empresa "Trabajo e Iniciativa de Naghshe Jahan", con el fin de determinar y priorizar la crítica que se mide con base en índices determinados. Aunque los altos directivos pueden prepararse para afrontar cualquiera de esos riesgos. En este trabajo tenemos una lista de riesgos entrevistando a expertos en este campo utilizando el cuestionario FMEA los datos cualitativos se convierten en datos cuantitativos y los riesgos identificados se han evaluado y clasificado mediante el análisis de color gris en consecuencia. En este estudio se buscan identificaciones y descripciones con muestras adecuadas de los siete tipos principales de riesgos enfrentados de la cadena de suministro (id riesgos domésticos, consisten en: riesgo de gestión, riesgos de contrato, factores de la industria, riesgos políticos y económicos, riesgos operacionales y riesgo externo consisten en : Proveedores y distribuidores Finalmente hemos encontrado los riesgos conocidos más importantes que se proponen a los gestores que se enumeran a continuación: Inflaciones y latencia, falta de recursos financieros, retrasos en el cronograma, fallas de maquinaria

Evaluating and ranking model for qualitative factors in overhaul power plants projects

El mantenimiento como uno de los componentes más importantes de la producción juega un papel importante en la provisión de objetivos organizacionales. Revisión de las plantas de generación de energía afecta el proceso de rendimiento. Algunos factores cualitativos son de gran importancia para mejorar la calidad del proceso y evitar el desperdicio de recursos. El presente ha clasificado los factores de calidad en la revisión mediante el enfoque de toma de decisiones multicriterio (MCDM). En este estudio se utilizó el método combinado de ANP (Analytic Network Process) y DEMATEL. Se identificaron cuatro factores principales y 16 secundarios en la clasificación final. Los resultados muestran que la experiencia y experiencia del contratista, el supervisor y la gestión de proyectos, la gestión del rendimiento y la autoevaluación, la capacidad de aplicar las herramientas y técnicas, la comunicación y la cultura de trabajo en equipo, Los mayores efectos sobre la revisión de las centrales eléctricas, respectivamente

Fuzzy AHP to determine the relative weights of evaluation criteria and a Fuzzy TOPSIS to rank the alternatives

10.1016/j.asoc.2009.08.021Applied Soft Computing Journal102520-52