• KSBB Journal
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• v.8 no.3
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• pp.243-255
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• 1993

In this study, it was observed that hydrogen Productivity varied with stirrer speed, bead radius, input glucose concentration and dilution rate in a continuous stirred tank reactor in which immobilized R. rubrum KS-301 was used as a hydrogen-producing bacterium The mass transfer resistance due to cell immobilization was also studied. In order to estimate an effectiveness factor, Des of glucose was first obtained, which was subsequently represented by the correlation equation between Dos and Xb, As a result external mass transfer resistance could be neglected for stirrer speeds greater than 400rpn With bead radius increasing, the hydrogen productivity and internal effectiveness factor decreased. With input 91ucose concentration increasing, the hydrogen productivity and interval and external effectiveness factor increased. Although an Internal effectiveness factor was not affected, hydrogen productivity Increased with dilution rate increasing. An overall effectiveness factor remained nearly constant for the dilution rates investigate4 but increased with input 91ucose concentration increasing.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.927-939
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• 2020

This study aims at investigating the effects of internal control effectiveness on business survival of food businesses in Thailand through the mediators of productivity improvement and value creation. In this study, 155 food businesses in Thailand are the samples of the study. The results show that internal control effectiveness has a significant influence on productivity improvement and business survival. Productivity improvement critically affects value creation and business survival while value creation is an important determinant of business survival. However, internal control effectiveness has no relationship with value creation. Also, productivity improvement explicitly mediates the internal control effectiveness-business survival relationships. In summary, internal control effectiveness can enhance firms' sustainable competitive advantage, superior performance and long-term survival. Firms need to focus on internal control effectiveness through investing their assets and resources and utilizing their abilities, competencies and capabilities in order to continuously develop and improve their appropriate concepts and characteristics in an organization. Better internal control effectiveness definitely leads to more long-term survival. To generalize the research results, future research needs to collect data from other businesses and industries. Increased response rate of the study is important for future research to verify and confirm the research results.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.147-158
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• 2012

This paper aims to develop a new chain metrics for obtaining lean Overall Equipment Effectiveness(OEE) and present implementation strategy which considers the properties for Total Productive Maintenance(TPM) to reduce machine losses, Performance Analysis and Control(PAC) to reduce labor losses, Lean Production System(LPS) to reduce floor wastes, and Theory of Constraints(TOC) to minimize the problem of Capacity Constrained Resource(CCR). The study reviews the related literatures and reformulates the structure of machine losses, labor losses and field wastes. The research also develops the integrated productivity metrics according to time, units, reliability and maintainability. It is found that the study develops the actual productivity measure in terms of efficiency, effectiveness and standard productivity. In addition to that, it outlines and develops by using the integrated LPS and TPM, lean OEE measures such as Time Based Productivity(TBP), Unit Based Productivity(UBP), and Reliability & Maintainability Based Availability(RMBA). Implication examples are proposed to make it easier and available for practioners to understand the implementation strategies about TPM OEE, lean OEE and TOC OEE. Futhermore related to other studies, the research contributes to create a new chain productivity measures to clear the interrelationship concepts of productivity, efficiency and effectiveness. Moreover the paper develops the enhanced OEE measures by integration of TPM, PAC, LPS and TOC with the perspective of schedule, throughput, reliability, maintainability and availability.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.30
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• pp.81-87
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• 1994

Productivity relates output to input and also integrates performance aspects of quality, efficiency and effectiveness. Productivity improvement are associated with efficiency and effectiveness, productivity index involved quality and flexibility, integrated productivity measurement system, and other factors. This study focused on the productivity improvement that involved the opportunity costs such as qualify costs and flexibility effects.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.58-65
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• 2011

Construction Productivity is one of the most important elements in construction management. It is used in construction process scheduling and cost management, which are significant sector in construction management. It is important to make appropriate schedule and monitor how works are done within schedule. But construction project contains uncertainty and inexactitude, modifying construction schedule is being an issue to manage construction works well. Even though prediction and monitoring of productivity can be principal activity, it is hard to predict productivity with manager's experience and a standard of estimate. A large number of factors influencing productivity, such as drawing, construction method, weather, labor, material, equipment, etc. But current calculation of productivity depends on empirical probability, not consider difference of each influencing factor. In this research, the aim is to present a productivity predicting regression model of form work, which includes effectiveness of influences factors. 5 variables existed inside form work are selected by interview and site research based on literature review of existed various productivity influencing factors. The effectiveness and correlation of productivity influencing factors are analyzed by statistical approach, and it is used to make productivity regression model. The finding of this research will improves monitoring and controlling of project schedule in construction phase.

• The Korean Nurse
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• v.32 no.1
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• pp.47-60
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• 1993

This study was performed to develop the conceptual framework of the nursing productivity. The study efforts were made (1) to define the concept the nursing productivity, (2) to identify the elements of the productivity, and (3) to determine the relationship among the elements. With the aim, the study employed a descriptive analysis by way of reviewing various references related w the subject. The nursing productivity consists of such elements as the nursing efficiency and Lhe nursing effectiveness which are complememary Lo each other. The nursing efficiency is the quantative input/output ratio, while the nursing effectiveness represents the integrated outcome of sch sub-elements as the degree of accomplishing nursing goals, the quality of nursing service, consumer's satisfaction, and the degree of improvement of nurse's attitude toward the quality care. The nursing prodiccivity can be estimated by summing up the nursing efficiency and the effectiveness. By employing the system theory model, the elements of the nursing producTivity consist of three elements; the input, the process, and the output. By the process elements, the system inputs are transformed to the system outputs nursing efficiency and nursing effecitveness which are input 1.0 the system, in turn, through feedback mechanism(Figure 4).

• Journal of the Korea Safety Management & Science
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• v.15 no.3
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• pp.151-161
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• 2013

This paper proposes a strategic model of linkage between productivity metrics and financial accounting metrics to properly evaluate the financial effect of TPM activities and the business performance. This linkage strategy provides a connection tool for clear communication between factory-level and headquarters that the metrics proposed by this paper ultimately improves a quality of support from the management by receiving the factors required for productivity activities in the practical field. This factor includes such as equipment, raw materials and labors. Here, we propose that chain reaction models using break down structure of productivity metrics and financial metrics enhance the knowledge sharing of KPI (Key Performance Indicator) which generally tend to create oversimplified communication between management in headquarters and employees in the practical fields. The productivity metrics include OEE(Overall Equipment Effectiveness) of TPM (Total Productive Maintenance), OLE (Overall Labor Effectiveness) of PAC(Performance and Analysis and Control) activities, and OYE (Overall Yield Effectiveness) of TMM(Total Material Management) activities. The financial accounting metrics include ROE(Return on Equity), ROA(Return on Asset), and AVR(Added-Value Rate). The suggested chain reaction model selects the financial metrics as initial stage and branch down until final stage of productivity metrics. When demand exceeds supply, an ideal speed rate, the lean OEE strategy can be initially applied to reduce the gap between the demand and supply, then apply variable costing to estimate correct amount of operating profit. In addition, the paper presents a new type of model for linkage between financial accounting metrics including CAPEX(Capital Expenditure), OPEX(Operating Expenditure), EVA(Economic Added Value), DCL(Degree of Combined Leverage), and TPM productivity activities including AM(Autonomous Maintenance), PM(Preventive Maintenance), MP(Maintenance Prevention) and QM(Quality Maintenance). In order to support the evidence of proposed linkage strategy, a case analysis on 52 projects from national TPM contest from 2011 to 2012 is analyzed. The case presents the classification of CAPEX and OPEX activities from TPM, and proposes the correct implementation of financial effect for TPM projects.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.41
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• pp.243-254
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• 1997

The fast changes of business environment make the enterprise filled with many problems which have to be solved. Productivity is a measure of the organizational performance, especially in manufacturing activities. The purpose of this paper is to measure the value-added productivity of the firms, to identify the characteristics and the relationship between key variables which affect the value-added productivity and also to study the alternative policies of productivity improvement elements which increase productivity effectiveness.

• Asian Journal of Business Environment
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• v.4 no.2
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• pp.13-15
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• 2014

Purpose - This paper discusses the effectiveness of EcoFarmer in Zimbabwe. The effectiveness of EcoFarmer still needs to be established because it is a new product that is hardly a month old. Research design, data, and methodology - The paper follows a qualitative research methodology and an exploratory approach to establish the effectiveness of EcoFarmer in the promotion of productivity in the agricultural sector in Zimbabwe. Using an Internet-based literature review, the paper explored the link that exists between Econet's EcoFarmer program and agricultural development in Zimbabwe. Results - The findings are that the innovation promotes agricultural productivity. This is in line with what was established by Safaricom Foundation in Kenya. Conclusions - The paper used literature sources because the phenomenon is exploratory. This limitation could have been avoided by using a field survey. The paper shows that the EcoFarmer is an innovative project that was developed by Econet as a replication of the Kenyan program.

• Journal of Korean Society for Quality Management
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• v.30 no.4
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• pp.154-163
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• 2002

This study tries to analyze how TPM works in domestic manufacturing industry by estimating two-stage model. First stage tests the effects of five TPM-factor variables (TFV : (1) Small group activity & Autonomous maintenance, (2) Education & Training, (3) Planned maintenance, (4) improving effectiveness of each piece of facility (5) Safety & Environment) to two TPM-performance variables. Second stage tests how two TPVs affect the industry's productivity level. By combining these two stages, this study uses a model to explain how TPM, represented by TFVs, works to improve productivity via TPVs. Multivariate and univariate regression and correlation analyses were peformed. It is shown that five TFVs works in two different ways to improve the industry's productivity level. In the second stage, overall equipment effectiveness has relatively more significant effects to the productivity level.