Determination of Burnout Syndrome among Middle and Senior Managers in Manufacturing Industry in Ciudad Juarez

AbstractBurnout syndrome is caused by chronic job stress and it is considered one of the main professional diseases of XXI Century. In developing countries like Mexico, occupations as middle and senior manager positions have not been sufficiently explored on this topic, especially in the industrial manufacturing sector. These personnel are fundamental for the growth of industries and usually must respond to high work demands, such as: short time decision making processes, extended working hours, personnel organization, production difficulties, among others. A sample of 361 participants was conformed; 34 were senior managers and 327 middle managers from several departments. The Maslach Burnout Inventory General-Survey (MBI-GS) was applied in six manufacturing companies in Ciudad Juarez. The Burnout was determined by grades and levels. Percentiles 33.3 and 66.6 were used as cut off points for each dimension: Emotional Exhaustion, Cynicism and Professional Effectiveness, five levels of Burnout were determined as none, low, middle, fairly and extreme. Results indicate a middle grade of Burnout for all three dimensions among senior and middle managers. By levels, 46.26% presents fairly and extreme level, 15.51% have a middle level and 38.23% presents none or low levels of Burnout. In conclusion, it is recommended that manufacturing industries take preventive actions that contribute to physical and mental health of their key workers

A new synthesis procedure for TOPSIS based on AHP

Vega et al. [1] analyzed the influence of the attributes’ dependence when ranking a set of alternatives in a multicriteria decision making problem with TOPSIS. They also proposed the use of the Mahalanobis distance to incorporate the correlations among the attributes in TOPSIS. Even in those situations for which dependence among attributes is very slight, the results obtained for the Mahalanobis distance are significantly different from those obtained with the Euclidean distance, traditionally used in TOPSIS, and also from results obtained using any other distance of the Minkowsky family. This raises serious doubts regarding the selection of the distance that should be employed in each case. To deal with the problem of the attributes’ dependence and the question of the selection of the most appropriate distance measure, this paper proposes to use a new method for synthesizing the distances to the ideal and the anti-ideal in TOPSIS. The new procedure is based on the Analytic Hierarchy Process and is able to capture the relative importance of both distances in the context given by the measure that is considered; it also provides rankings, which are closer to the distances employed in TOPSIS, regardless of the dependence among the attributes. The new technique has been applied to the illustrative example employed in Vega et al. [1]

Relationship between lean manufacturing tools and their sustainable economic benefits.

Traditionally, the isolated relationship of total preventive maintenance (TPM), quick setup (QS), overall equipment effec- tiveness (OEE), and one-piece flow (OPF) with economic sustainability (ESU) has been investigated; however, these lean manufacturing (LM) tools are implemented together into production systems, and traditional research does not report their relationships and interactions. To contribute to this gap, this paper integrates all those variables in a structural equation model (SEM), which are related by seven hypotheses that are validated using the partial least squares (PLS) technique using information from 176 responses to a questionnaire applied to the Mexican maquiladora industry. Additionally, a sensitivity analysis has been carried out to determine the probability of occurrence at high and low implementation levels for all variables when they occur in isolation, jointly and conditionally. Findings indicate that TPM is a precursor of QS and OEE, while QS is a precursor of OEE and OPF, OEE is a precursor of OPF and ESU, but also OPF is a precursor of ESU. The sensitivity analysis indicates that low levels of TPM are a risk for reaching adequate levels of OEE and QC, while low levels in OEE and OPF are a risk for reaching adequate ESU levels

An emission model as an alternative to o-d matrix in urban goods transport modelling

This paper presents an alternative method to O-D matrix for estimating road occupancy of urban goods movement (UGM). The originality of the model arises on three elements. The first is that the modelling unit is the delivery operation, with all the elements that are associated to it. The second is that it follows an inductive approach, starting from a rich database, to define different generation functions without a priori applying a defined mathematical framework. The third is that the model is an emission one, i.e. we start generating the number of deliveries that are shipped by the different urban establishments, and not those attracted by them. First, the literature in the field is reviewed. Then, the main methodological elements are presented. We present here the delivery generation procedure and the route definition method. Finally, validation results for both parts of the model are critically discussed

Efecto de la manufactura esbelta, seis sigma y cadena de suministro en la sostenibilidad de maquiladoras mexicanas

La memoria de esta tesis se presenta en la modalidad de compendio de trabajos publicados en revistas científicas internacionales con revisión por pares e indexadas en Journal Citations Reports (JCR). Los trabajos publicados se indican a continuación:Artículo 1. García-Alcaraz, J. L., Montalvo, F. J. F., Avelar-Sosa, L., Pérez de la Parte, M. M., Blanco-Fernández, J., & Jiménez-Macías, E. (2020). The importance of access to information and knowledge coordination on quality and economic benefits obtained from Six Sigma. Wireless Networks, 26(8), 5713-5726. doi:10.1007/s11276-019-02180-7. Indexada en SCIE del Web of Sciences, siendo Q2 o Q3, según la categoría en la que sea analizada, con IF de 2.602 y con JIF de 53.66.Artículo 2. García-Alcaraz, J. L., Martínez-Hernández, F. A., Olguín-Tiznado, J. E. O., Realyvasquez-Vargas, A., Jiménez Macías, E., & Javierre-Lardies, C. (2021). Effect of quality lean manufacturing tools on commercial benefits gained by Mexican maquiladoras. Mathematics, 9(9). doi:10.3390/math9090971. Indexada en SCIE del Web of Sciences, siendo Q1 en la categoría de Matemathics (24/330) en el JCR 2020, con IF de 2.258 y con JIF de 92.88.Artículo 3. García-Alcaraz, J.L., Díaz Reza, J.R., Sánchez Ramírez, C., Limón Romero, J., Jiménez Macías, E., Lardies, C. J., & Rodríguez Medina, M. A. (2021). Lean manufacturing tools applied to material flow and their impact on economic sustainability. Sustainability (Switzerland), 13(19). doi:10.3390/su131910599. Indexada en SCIE del Web of Sciences, siendo Q2 o Q3 según la categoría en la que se analice en el JCR 2020, con un IF de 3.251.Artículo 4. García-Alcaraz, J. L., Díaz-Reza, J. R., Flor Montalvo, F. J., Jiménez-Macías, E., Blanco-Fernández, J., & Javierre Lardies, C. F. (2021). Effects of information sharing, decision synchronization and goal congruence on SC performance. Computers & Industrial Engineering, 162, 107744. doi:https://doi.org/10.1016/j.cie.2021.107744. Indexada en SCIE del Web of Sciences, siendo Q1 o Q2 según la categoría en la que se analice en el JCR 2020, con un IF de 5.431.<br /

Factores de fatiga en operadores de maquinaria semiautomatizada en México

En este estudio se aplicó la versión en castellano del InventarioSueco de Fatiga Ocupacional (Swedish&nbsp; Occupational Fatigue Inventory-Spanish), con el objetivo de identificar los síntomas de fatiga en operadores de maquinaria semiautomatizada clasificada como tecnología de manufactura avanzada (TMA). Se encuestaron 121 operadores de tornos de control numérico computarizado (CNC) en una empresa fabricante de flechas homocinéticas localizada en la ciudad de Celaya, Guanajuato, en el centro de México. Los resultados muestran que el factor falta de energía se relaciona con un nivel más alto de fatiga, mientras que el factor somnolencia se relacionó con un nivel más bajo de fatiga

Effects of regional infrastructure and offered services in the supply chains performance: case ciudad juarez

In this paper appears an analysis of the effects of regional infrastructure and the services in the supply chains performance in manufacturing companies collated in Ciudad Juarez, Chihuahua, Mexico. To collect the information, 120 surveys were applied to companies, and to obtain a causal with structural equation modelling to explain those effects, a methodology of partial least squares was used with WarpPls 3.0®. The results indicate that a good level in the regional infrastructure has a positive impact on logistics services, and as a consequence in the costs. Also, the regional infrastructure has a positive impact on time delivery of products. Regarding the level of infrastructure (transport, telecommunications, and internet) and services (air, land, financial, legal) in Ciudad Juarez, respondents are considering that it is good, so the product deliveries are complete on time in the past 3 years

Assessing the Impact of a Vinasse Pilot Plant Scale-Up on the Key Processes of the Ethanol Supply Chain

One of the byproducts generated in the cane sugar production is molasses, which is used for ethanol distillation. However, one of the problems of distilleries is vinasse. Vinasse is highly water pollutant and is dumped untreated in lakes or rivers and damages the environment. The company FALA developed a pilot plant that uses vinasse to produce a type of livestock feed called MD60. In this paper, the impact of the pilot plant’s scale-up in the key processes of the company’s supply chain is analyzed. With the help of a sensitivity analysis, this study finds the values that would allow the company to improve its order fulfillment indicator and to increase profits, assuming an expected demand by the introduction of this new product into the market. The results show that (1) the pilot plant fulfills 32% of the orders, (2) according to the current vinasse storage capacity, it is possible to fulfill up to 77% of the orders by scaling up the pilot plant, (3) to satisfy 100% of the orders, it is necessary to use all the vinasse generated, and (4) the highest profit is reached by processing all the vinasse and by considering the upper sale price

A new synthesis procedure for TOPSIS based on AHP

Vega et al. [1] analyzed the influence of the attributes’ dependence when ranking a set of alternatives in a multicriteria decision making problem with TOPSIS. They also proposed the use of the Mahalanobis distance to incorporate the correlations among the attributes in TOPSIS. Even in those situations for which dependence among attributes is very slight, the results obtained for the Mahalanobis distance are significantly different from those obtained with the Euclidean distance, traditionally used in TOPSIS, and also from results obtained using any other distance of the Minkowsky family. This raises serious doubts regarding the selection of the distance that should be employed in each case. To deal with the problem of the attributes’ dependence and the question of the selection of the most appropriate distance measure, this paper proposes to use a new method for synthesizing the distances to the ideal and the anti-ideal in TOPSIS. The new procedure is based on the Analytic Hierarchy Process and is able to capture the relative importance of both distances in the context given by the measure that is considered; it also provides rankings, which are closer to the distances employed in TOPSIS, regardless of the dependence among the attributes. The new technique has been applied to the illustrative example employed in Vega et al. [1]