scholarly journals Study and measurement of the productivity in the printing industry in Villahermosa Tabasco to develop an improvement proposal

Author(s):  
Carlos Adolfo López-Castro ◽  
Jucelly Castro-De la Cruz ◽  
José Manuel Esteban-Concha ◽  
Pamela Hernández-Zurita

Productivity is one of the paths that a company must take to achieve its objectives, goals and purposes, working effectively and efficiently. To achieve a culture of measurement, it is important to perform a productivity analysis, which will help to obtain adequate information to create development recommendations in the near future. This work provides information on the results obtained from a productivity measurement study in a sample of companies in the printing industry, in Villahermosa Tabasco, which helps to understand and adapt business needs within the cultural, environmental, technological, economic and political variables. To carry out this study, a measurement instrument has been used that obtains specific information on the elements that an organization must have for the development of productivity, this tool is called Comprehensive Productivity Assessment Technique (TIEP), the which will give us results that serve to generate a model for improving productivity, which will be of great help for the growth of this business sector with positive results that bring benefits to the region and society.

Author(s):  
Nguyen Trong Vinh ◽  
Nguyen Cam Nhung

This research evaluates the efficiency of the state budget allocation in Vietnam in the period 2007-2016 by using econometric models of OLS, FEM, REM and FGLS. The estimated results from the model, together with the evaluation of the state budget allocation show that the budget allocation has achieved positive results, but the efficiency of budget allocation is still not high. Following this, the article gives some policy implications for Vietnam to effectively allocate the state budget in the near future.


2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Anggelika S. Nangin ◽  
Grace B. Nangoi ◽  
Victorina Z. Tirayoh

CV. Satu Satu Media Utama in calculating the cost of the product, has not calculated carefully, causing problems for the company that are unknown in detail and impact the selling price of the company's products. CV. Satu Satu Media Utama is a company engaged in Digital Printing Industry. This study aims to determine the role of Job Order Costing in determining the selling price of the product, using the method of calculating Full Costing and Variable Costing. Method of data analysis used in this research is descriptive qualitative. The results of research for the implementation of Job Order Costing system, the company has applied in the collection of product cost, but in the calculation of the cost of the company's products does not include marketing costs and depreciation costs of the machine into the calculation of overhead costs, and the company has not entered the price card of the order as the auxiliary card in the determination product selling price.Keywords: Job order costing, factory overhead cost, selling price


Author(s):  
Katrin Sinaga ◽  
Kevin Lie ◽  
Nico Williams ◽  
Theresia Sunarni

A Factory is a manufacturing industry that produces tea drinks in cups. A Factory is also inseparable from problems related to machine/equipment productivity. Based on the results of observations made at A Factory part of the production line that there is often a sudden stop of the production process. The discontinuation will affect the quality of the product expected and the production targets to be achieved. The problem was discussed in this research is how much the productivity level of the filling production department is, how much the production effectiveness, effective working hours, the number of defective products, and machine downtime criteria. The productivity measurement method used is the Objective Matrix (OMAX) method, so the steps of this study refer to OMAX steps, which is the criteria determination/productivity ratio of the production line, the calculation of the productivity ratio value, the calculation of the initial standard score (score 3), The determination of the goal (score 10) and the lowest score (score 0), the determination of weight, the calculation of value/criteria value, the determination of productivity value for each period, determination of index percentage. With the OMAX method, it can be seen that in period 11 (compared to period 10) there was an increase in productivity, this can be seen because the IP value (Index of Performance) which is positive (+) is 27.79 and there is an increase in the value of the calculation at the time of measurement (current) from 383.36 to 300. This increase was due to an increase in the value of all criteria.


2017 ◽  
Vol 1 (01) ◽  
pp. 1-6
Author(s):  
Fernaldi Jonathan ◽  
Rahmat Mulyana ◽  
Yuli Adam Prasetyo

A microfinance institute (LKM/ Lembaga Keuangan Mikro) is a company that focuses in providing funds to small, early-stage, and emerging firms or small medium enterprises. A company that is engaged in financial sector and works under the surveillance of OJK/ FSA (Financial Service Authority) always has some questions whether this company really needs to implement IT Governance best practices or to what extent it does. The research in PT Sarana Jabar Ventura as one of the microfinance institutes using COBIT 5 framework for the domain of EDM (Evaluate-Direct-Monitor) & APO (Align-Plan-Organize) has shown that the existing practice is not adequate enough to align the business to IT and to manage its risk optimally so the IT solution will be beneficial for the business. Therefore, it is necessary to design the IT governance practice here, based on the seven enablers of COBIT 5 which are categorized into 3 aspects: process, people, and technology. The results of this research are design recommendations as follows: IT policy, procedures, organization structure, job description and the supporting tools and technology. It is expected that the company will implement the results in the near future. Keywords—COBIT 5, IT governance, microfinance institution


2011 ◽  
pp. 1793-1806
Author(s):  
Donald Marchand ◽  
Amy Hykes

Strategic intelligence is about having the right information in the hands of the right people at the right time so that those people are able to make informed business decisions about the future of the business. Thus, in order to improve a company’s strategic intelligence process, management must take a critical look at how effectively they manage information. Effective information management requires specific information-processing practices, employee behaviors and values, and technology. The information orientation (IO) framework is a tool that managers can use to determine the company’s level of effective information management and to identify areas where they can make improvements. By achieving IO maturity—aligning processes, people behaviors, and technology practices with business strategies—a company can derive a competitive advantage and future leadership. IO mature companies are most successful at collecting and openly sharing the strategic intelligence that their employees need in order to successfully monitor and proactively react to future market trends or events.


Author(s):  
Sathiyamoorthi V.

In this Internet era, with ever-increasing interactions among participants, the size of the data is increasing so rapidly such that the information available to us in the near future is going to be unpredictable. Modeling and visualizing such data are one of the challenging tasks in the data analytics field. Therefore, business intelligence is the way in which a company can use data to improve business and operational efficiency whereas data analytics involves improving ways of making intelligence out of that data before acting on it. Thus, the proposed work focuses on prevailing challenges in data analytics and its application on social media like Facebook, Twitter, blogs, e-commerce, e-service and so on. Among all of the possible interactions, e-commerce, e-education, and e-services have been identified as important domains for analytics techniques. So, it focuses on machine learning technique in improving practice and research in such e-X domains. Empirical analysis is done to show the performance of proposed system using real-time datasets.


2012 ◽  
Vol 2 (2) ◽  
pp. 1-35 ◽  
Author(s):  
Adel Hatami-Marbini ◽  
Madjid Tavana ◽  
Ali Emrouznejad

Health care organizations must continuously improve their productivity to sustain long-term growth and profitability. Sustainable productivity performance is mostly assumed to be a natural outcome of successful health care management. Data envelopment analysis (DEA) is a popular mathematical programming method for comparing the inputs and outputs of a set of homogenous decision making units (DMUs) by evaluating their relative efficiency. The Malmquist productivity index (MPI) is widely used for productivity analysis by relying on constructing a best practice frontier and calculating the relative performance of a DMU for different time periods. The conventional DEA requires accurate and crisp data to calculate the MPI. However, the real-world data are often imprecise and vague. In this study, the authors propose a novel productivity measurement approach in fuzzy environments with MPI. An application of the proposed approach in health care is presented to demonstrate the simplicity and efficacy of the procedures and algorithms in a hospital efficiency study conducted for a State Office of Inspector General in the United States.


2015 ◽  
Vol 6 (4) ◽  
pp. 180-186 ◽  
Author(s):  
Cristina Verea Linares ◽  
Johno Breeze

Mobile telephone texts are the primary method of communication among junior doctors, superseding phone calls and bleeps. However, instant messaging is now one of the most common methods of social communication worldwide, and will likely supersede texting in the near future – but concerns over its security suggest further research is urgently required into the content of such communications, if it is to transmit patient specific information.


2016 ◽  
Vol 1 (1) ◽  
pp. 32-39
Author(s):  
Durgaprasad Navulla ◽  
G. Sunitha ◽  
Jhansi Rani Boda

Objective - The growth and magnitude of industrial sickness is a dangerous issue, not only for the present situation but also for the near future. There are many reasons that could have caused a company to become sick and the reasons could be internal or external or a combination of both. In that regard, this paper aims to analyse the presence of industrial sickness by reviewing the revival policy measures of the Fertilizer Corporation of India Limited (FCIL), particularly the Ramagundam unit. Methodology/Technique - Data for this paper are extracted from sources such as the Indian Economy reports, the Department of Fertilizers Government of India reports and personal interviews with the employees of the Fertilizers Corporation of India Limited, Ramagundam unit. Findings - The results showed that the FCIL unit became sick mainly because of poor management decisions, feeble human resource management, use of outdated technology, power-cut problems, non-availability of raw materials and wrong government policies. Novelty - This paper highlights why the FCIL has been declared as a sick company and what sort of government policies and preventive actions should be taken for revival or to rehabilitate the company. Type of Paper: Empirical Keywords: Sickness; Revival Measures; Industrial Development; Fertilizers.


10.15771/2824 ◽  
2021 ◽  
Author(s):  
Martina Mittendorf

In connection with the management of employee retention many Human Resources Managers feel the need to know who of their employees might leave the company in the near future. The more a company knows about the motives of those who might leave, the easier it is to get in contact with them. Thus it is not surprising that the HR Managers want to try to combine all the data they have or can get in order to predict the behavior of their employees. It is evident that the interpretation of data-combinations can give inaccurate predictions of the probability of departure of an employee, and it is undesirable for this data-interpretation process to create a negative image of an employee. It is a sensitive issue for all parties involved, because managers want to retain the “good people” and keep the company going; on the other hand many employees are afraid of having all details of their work be observed. The uncertainties can hopefully be best dealt with by talking with each other. However, it is worth taking a look at the European legal situation in order to determine if these analyses are permitted at all. Therefore it is necessary to examine whether and under what conditions an analysis of employee fluctuation risk is compatible with the GDPR, which has been applicable since May 25th, 2018, and which places special conditions on the processing of personal data in Europe.


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