Purpose of this research is to determine optimum inventory policy at PT. SENAHOY OPTIKA PRATAMA that located in Bandung, Indonesia. This research discussed demand forecasting for lens and contact lens in 2015, to be used in calculating inventory cost of lens and contact lens. Using QM for Windows 2 software to determine demand forecasting of lens and contact lens, and EOQ model to determine inventory policy and minimizing costs. The result showed that the best forecasting method is Linear Regression model and using EOQ model could have saved the company’s cost more than 20 % from procuring those products. The 2015 forecasted demand for lens and contacts lens respectively are 2.524,08 and 1.436,08 boxes. Optimum inventory policies for lens and contact lens respectively are to purchase 207,45 pieces when reorder points reach 207,45 pieces with 25 times order per year and to purchase 200,12 boxes when reorder point reaches 118,05 boxes with 7,18 times order per year. The EOQ model can reduce inventory costs over 90 million Rupiah

The paper presents the ground effects on the flow over five NACA symmetrical airfoils by analyzing the coefficients of lift. The unbounded flow over a selected airfoil was first simulated, and the results were validated against the established data in order to validate the method used in obtaining the lift coefficients. In the presence of ground, we kept the angle of attack to be constantly zero throughout the computations. Ground clearances were set based on those for aircrafts whose wing cross sections are the airfoils of interest. ANSYS was used for such numerical computations. We illustrate percentage increment of lift that is inversely proportional to the ground clearance. This work sheds insight on the important parameters that need to be taken into account in the operational of an aircraft.

In material engineering it is important to determine the cause of the failure & prevention of the failure .In present day the failure of the machine component is about 90% of the failure is because of the fatigue. In present study the failure of the shaft in the yaw gear box is analyzed .As we the shaft is rotating part of the engine it transmit the power from the one part of the engine to another part. It holds the maximum stress. In this case shaft of heat treated component with ultimate tensile strength Su= 2100Mpa is analysis done with ANSYS (FEA) software & compared with the theoretical calculation. There are different methods which are used to predict fatigue life include stress life(S-N), strain Life (E-N) and Linear Elastic Fracture Mechanics (LEFM). In this project study, S-N approach is used to predict fatigue life for out-put shaft

The banking industry in Indonesia is developing using technology and one of the private bank in Indonesia uses technology to build Information Systems (IS). The purpose of this study is to evaluate information system success model for sales management application. The methodology used to this study is the Delone and McLean Model with the Technology Acceptance Model and added with the trust factor. The study hypothesis consists of 15 hypotheses, where system quality, information quality, service quality, and trust have an influence on perceived usefulness and perceived ease of use. Then, perceived usefulness and perceived ease of use through attitude toward using, behavioral intention to use, actual system usage, user satisfication have an influence on net benefit. Data obtained from employees that are distributed to the private bank employees. The number of employees in this study are 360 respondent. The results of this study are known to have three hypotheses rejected, namely: service quality has no effect on perceived usefulness, service quality has no effect on perceived ease of use, and trust has no effect on perceived usefulness

The service quality evaluation of hospitals has important credit for patients and public since it gives hospitals’ capabilities to compete in the market and it is very important for the overall development of the health care sector. This research gives a fuzzy multi-criteria decision making (MCDM) problem, to evaluate the service quality of the hospitals of Andhra Pradesh, India. The hospitals are both private and public sectors. The hospitals evaluated are super speciality hospitals. Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method is adopted for the ranking of the hospitals. The weights of patient’s opinion on service quality dimension are included in this method.

Several studies have indicated that digital (tech) startups’ behaviors tend toward disruptive business model innovation in facing volatility, uncertainty, complexity, ambiguity (VUCA) environment. One of the necessary capabilities to perform such innovation as well as to attain an excellent firm operational performance is continuous reconfiguration capability. This paper aims at examining the effect of continuous reconfiguration capability on disruptive business model innovation on Indonesia digital (tech) startups. This study applied a quantitative method with a partial least-squares structural equation modeling (PLS-SEM) approach to analyze the data obtained. The survey was used to understand the perceptions of Founders/C-Level out of 107 Indonesia startups. This study showed an essential contribution to the literature about the role of transformational capability viz continuous reconfiguration capability for digital (tech) startups as an initiator in executing disruptive business model innovation. The study recommends startups to have this capability that should be followed by determining strategic orientations, especially entrepreneurship orientation, market orientation, and technology orientation.

Physical environment related to the industrial technology and architecture. The physical environment is a visible and tangible aspect compliment the innovative technology, design and service innovation design. This research aimed to study the views of prospective customers to two coffee shops in Seomyeon, Busan, South Korea, in relation to their expectation according to the physical environment. The methodology used included interviews, surveys and analysis through Semantic Differences and AMOS 22. The components of the physical environment comprised the facility aesthetic, lighting, ambience, layout, service product and social factors. The findings showed the influence of cultural context on the preferences to select and revisit the coffee shops. The components of the physical environment influenced the decision making of the prospective customers in selecting the preferred coffee shops according to the experience and expectation about the potential good tangible and intangible services. This study contributes to understand about the marketing strategy applied the emphasizing of the physical environment of the service business respected to the potential technology

Software Testing Is A Major Component of Software Development Lifecycle and It’s Time-Consuming. The Testing Used the Particular Time in Testing Is Generally Disturbed with Generating the Test Cases and Correctly Testing Them. Although Some People Apply K-Means Clustering Algorithm to The Test Suite Reduction, The Algorithm Is Unstable and Seldom Considers the Coverage Rate of Such Test Cases; As A Result, It Will Waste Various Unnecessary Testing Times in Redundant Cases and Always Result in High Cost. Model-Based Testing Method Is One of The Testing Categories in Which the Test Cases Derived from That the System Describes Efficient Aspects of The System Under Test. When the Model of The System Is Described Explicitly, Reversing System Performed Correctly, It Can Be Used for The Renewable Artifact. For Instance, The System Can Be Used to Generate an Appropriate Test Set for The Sut. Such Technique Is Called Model-Based Testing (Mbt). The Different Approaches Are Implemented and Evaluated in Order to Determine Its Effectiveness in Reducing the Redundancy of Test Case Generation. The Purpose of This Project Is to Generate the Test Cases, Prioritize Them

Machine and tooling selection are very important for agriculture economy which base on labor intensive that increase time usage and cost. Cassava foliage harvesting selection is very challenging in choosing the machine since it will be the key importance to change the cassava supply chain that cannot bring cassava foliage to use in the commercial way. The framework of this study start from the cassava farmers’ aspect, link with factors concerned from literature review and then grouping the suitable criteria and sub-criteria. The specific questionnaire was conducted with the representative of the cassava farmer, agriculture machine maker and the expert user in cassava foliage. The Analytical Hierarchy Process (AHP) is used to set the hierarchy structure of the criteria, rating and prioritization. The results of the study illustrate the machine factors and cost for cassava foliage harvesting machine selection decision making. The prioritized factors are durability, low cost of harvesting, safety, technology and quality of output respectively. It can be used not only cassava foliage harvesting machine selection case but also the other agriculture machine or equipment

Geothermal energy, which is related to alternative energy resources, is one of the fast-developing world energy resources. It is used both in Russia and other countries. Nowadays problems of energy saving and economical use of fuel are paid much attention, which proves relevance of the topic. Goal of the research is an analysis of economical efficiency of geothermal energy use in North-West region of Russia using an example of heat pumps. Authors considered expediency of Earth’s geothermal energy use in North-West district using an example of European states. Analysis of specific factors characterizing this type of energy, as well as its extraction and used technology is done. Scientific, technical and technological problems of geothermal energy are reviewed.

The paper presents a brief description of an automated system, designed to control coal quality in accordance with the specified parameters of the waste rock content owing to obtaining, collecting, processing and storing information from primary instruments, using a radioisotope measuring method. The system allows the personnel to obtain reliable information on the quality of mined coal in a timely manner. This information is transmitted to the MES at the enterprise to assess the performance and cost of production

Automobile headlamp reflectors are subjected to high temperatures owing to heat produced by the lamp and their sealed structure. Such high temperatures reduce light quantity and shorten service life in lamps. Therefore, this study designed and analyzed radiating fin designs, integrated into these reflectors, aiming to improve headlamp heat dissipation performance. Basic analyses were conducted upon an existing headlamp, and the validity of the analytical model was verified by testing existing reflector temperatures under conditions similar to those modeled during the analyses. Based on this verification, three types of radiating fins were modeled and analyzed. The vertical fin type exhibited the highest heat dissipation performance. Subsequently, design variables were selected for the vertical fin type and size optimization was performed using the design of the experiment model. Results confirmed a heat dissipation performance increase of 4.5% relative to the existing model

Cellular lattice structures are low dense and highly porous in nature, mainly these are effective in strength to weight ratio. Due to strength to weight ratio, cellular lattice structures can sustain at high compressive loads and exhibits better mechanical properties. These lattice structures are manufactured through Additive Manufacturing (AM) technology. The AM is cutting edge technology to manufacture complex structures, which cannot possible through traditional manufacturing methods such as casting, forming, machining etc. This paper presents an over view on Automated Properties of Additively Manufactured Matrix Arrangements. This includes Overview of Additive Manufacturing, Overview of Lattices and the summary of mechanical properties of various lattice structures are also added.

The occurrence of incorrect phase sequence in a three-phase power system has continued to be a major challenge to many organizations in Nigeria especially in industrial sector where equipment powered by three-phase supply predominates. This phenomenon which is otherwise known as phase reversal often arises when the order in which the three phases are positioned is inadvertently altered, perhaps consequent upon electric power restoration by utility supply or during maintenance on motor-driven machinery. Lack of protection against such phase-reversal on three-phase systems and other-phase rotation sensitive equipment results in severe disruption and huge damage to such equipment and personnel alike. A number of means have been adopted to mitigate this problem. However, the main drawback of some of the existing designs was their inability to automatically correct the phase reversal and ensure that supply to equipment was not disrupted. The designed and constructed device detects and automatically corrects phase reversal with the use of electrical circuit involving electromagnetic contactor incorporating timer relay at the heart of the controller. In addition, it also incorporates under/over-voltage and phase failure protection. This is to ensure that connected loads operate within their manufacturers’ specified voltage limits and also are protected against any damage that could result in the event of a phase loss.

Results obtained from monitoring an outdoor experimental 8 kW distribution gridtied solar photovoltaic (SPV) system installed at Energy Technology Station known as KwaZulu-Natal Industrial Energy Efficient Training and Resource Centre (IEETRC) of Durban University of Technology, South Africa is presented in this study. The study was carried out to investigate and compare the system performance with similar installations in a few selected countries. Data were collected between January 2018 and December 2018 and computational analysis was completed with the aid of Simulink and MS-Excel. The evaluated monthly average daily and annual performance parameters of the SPV system – array yield, reference yield, final yield, system efficiency, inverter efficiency, capacity factor, and performance ratio – were discussed in term with the International Electrotechnical Commission (IEC) standard. A comparison of this study to other studies conducted in Dublin, Morocco, India, and Spain shows that this study final yield and performance ratio of 4.93 kWh/kWp/day and 87.1% is greater than what is reported in the extant literature.

The Researcher has already proposed a “Frame Work” with relevant upstream variables in the paper titled “Identifying the Relevant Variables Affecting the Adoption of Innovative Drilling Technologies in Upstream UAE Oil and Gas”. This paper serves to Validate/Test the findings/Frame work of the researcher. Content Analysis is performed in the first stage of Frame Work analysis. The Findings/Frame Work of the First stage goes as an input to the second stage of Frame Work Analysis. The researcher used NVIVO 12 for data analysis due to the “Effort and Time factor” involved in the manual Frame work analysis. The points to be noted in the results of data analysis are (1) Two new variables emerged - “Central Innovation Office” and “Age” (2) Some Variables got eliminated – “Efforts” + Associated Variables, “User Satisfaction and Trust” + Associated Variables, “Familiarity”, “Innovator Support”, “Environmental Benefits”, “Environmental Benefits”, “Trade up or Buy” and “Brand Loyalty”.

In this paper, Taguchi method with L16 was used to experimental research in order to present the influence of cutting parameters and feed path on the surface roughness of workpiece when machining C45 by ball nose mill. The experimental result shows the influence of above parameters on surface roughness and the value of cutting conditions and feed path to minimize the surface roughness

The Findings/Framework proposed in the Stage 1 of Frame Work Analysis in the paper titled “Frame Work Analysis (Stage 1): Creating a Frame Work to Enhance the Adoption of Innovative Drilling Technologies in Upstream UAE Oil and Gas” gets further validated/tested in this paper. Content Analysis is performed in the second stage of validation in the Frame Work analysis. The researcher used NVIVO 12 for data analysis due to the “Effort and Time factors” involved in Manual Frame Work Analysis. The points to be noted in the results of data analysis are (1) The Variables “Environmental Benefit” and “User Satisfaction and Trust” re-appeared in the data analysis. (2) Variables - “Affordability” and associated variables, “Total Efforts” and associated variables, “Purchasing Patterns” and associated variables, “Compliance” and associated variables, “Resistance to Change” and associated variables, “Brand Loyalty”, “Central Innovation Office”, “Trade Up or Buy back” and “Innovator Support” got eliminated in the due course of data analysis.

In the Russian Federation, the traditional mechanisms of inspection control are changing and industrial safety measures are being modernized. Operator nistakes are one of the most common causes of industrial accidents. The practice of the introduction of interactive training complexes indicates formation of behavior skills in normal and non-standard (emergency) modes of installations work during the training, thereby reducing the the possibility of accidents caused by personnel and, as a result, increases the safety and efficiency of production. The article is devoted to the development of technological processes operators simulators used to train operational personnel skills of technological processes management of industrial enterprises. Describes the main requirements to the computer equipment and the development of their mathematical support. The basic concepts and methods of analytical and simulation modeling of technological systems are given. The principles of application of neural networks as one of the most promising methods of complex technological processes modeling in the development of control systems and simulators of industrial plants are considered in detail.Various aspects of process modeling and the main advantages of using training simulators to improve production efficiency are considered

Computer training of technological process operators is recognized worldwide as an effective means of reducing accidents and increasing production efficiency by improving operator`s skills. The use of computer simulators for training operators of potentially dangerous industries is fixed in regulatory documents of many countries, including Russia. Most enterprises in the oil and gas industry have already equipped their training centers with computer simulators; however, the metallurgical sector and other representatives of the chemical engineering industries do not use and often do not consider a computer simulator as a tool for improving efficiency and production safety. World statistics shows that among the causes of industrial accidents, operator mistakes are firmly in second place. They account for an average of 40% of all emergency incidents. Computer training is the most powerful and effective means of dealing with the operators mistakes. With the help of a specialized simulator, with a high degree of accuracy, imitating the work of a dangerous technological installation, relating to the oil refining or metallurgical industry, it is possible not only to familiarize operators with potential emergencies and develop a strategy for preventing accidents, mitigating or eliminating its consequences, but also working out actions operators to automatism. A good full-scale simulator allows to work out detailed measures to prevent accidents, as well as plans for the localization and liquidation of emergencies.The article presents an overview of the current state of the industry of technological simulators, examines existing technical solutions, global manufacturers and simulators using aspects.

The state of engineering education in South Africa is a complex one with the nation producing fewer and fewer engineers in relation to the number of engineers needed with the nation. While the reasons for this are varied, there is a need to reconceptualise engineering education to meet key priority needs. The engineering curriculum must be reviewed and lecturer’s skills must be improved upon to ensure that the process of training these engineers is responsive. The paper concludes that educational reforms are unavoidable especially in engineering education to ensure the field gets enough resources, lecturers are appropriately trained and students are supported to complete their degree programs. Also, students should be encouraged to engage in postgraduate programs so as to tackle in increasing need for engineers who can reshape the future of the nation through creativity and entrepreneurship as opposed to those would be seeking for jobs upon graduation.

Evaluate an uncertainty of measurement, it defines the measurand with accuracy, identify the different factors that contribute, quantify them in the form of a variance and calculate the uncertainty of measure from the square root of this variance. Then, this uncertainty was expanded by a coefficient depending on the confidence interval. The estimation of this measurement uncertainty of the calibration of a machine with a threedimensional measure (MMT) is a rather delicate procedure counts held of the diversity of the parameters involved. The purpose of this article is to quantify the uncertainty associated with the GUM method and subsequently, validate this method by the method of Monte Carlo (MCM)

Tooth colour determination is an significant part in the prosthetic dentistry during production of tooth-coloured restorations. Visual and colorimetric methods are most commonly used in dental practice. The aim of the present study was to compare both methods for determining the color of teeth. For optimum esthetic result of restoration of teeth application of the combined method of color teeth determination (visual and colorimetric) taking into account such indicators of the spectrophotometer as ?L (lightness) and ?? (saturation) are recommended.

Heat exchanger is a device that operate in a higher and lower temperature. In this study, a shell and tube heat exchanger has been observed and identified the period of operational to analyze its failure under corrosion. Temperature is the corrosion factors that give influences in many parameter such as pH and concentration of metal. The heat exchanger tubes used were made of copper. NDT method namely; Infrared (IR) thermal imaging, Atomic absorption spectroscopy (AAS) and pH verification were used in this study to determine the corroded surface area that occur on the copper tube and shell heat exchanger. Infrared (IR) thermal imaging detect the corroded or defected surface area by provides rapid visual thermal appearance of difference temperature results. IR thermography provides colorful images of samples where local changes in surface temperature indicate subsurface defects. Atomic Absorption Spectroscopy (AAS) determined the copper concentration in the water samples that flow internal and external of copper tube. AAS is suitable and accurate method to measure the metal concentration in fresh water or analyte. pH of water samples were verified to relate the relationship between temperature and pH in corrosion process. Temperature is directly proportional to the pH because of copper oxide layer formed as semi-protective layer to protect the metal surface from corrode and decrease the corrosion rate. With higher of temperature, the copper concentration increase. This is because of extreme environment which is in very high or very low pH will break down the protective layer and effect the concentration of water samples. As a conclusion, the NDT methods used have significantly determine the corrosion failure analyses.

Corrosion is responsible for numerous damages mainly in the industrial scope. The best way to fight this damage is prevention. One of the most well-known and useful methods to avoid or mitigate destruction/degradation on the surface of metals is a corrosion inhibitor. Low cost, environmentally friendly, and non-toxic are some of the best features in the inhibitor, guar gum, used in this study. The study shows that the potential of the metal is shifted positively when the concentration of the inhibitor is increased. Low current density was also observed due to increasing the concentration of the inhibitor. Therefore, a low corrosion rate means low current density and more positive potential of the metal. Different concentrations of inhibitor are used and the optimum concentration that showed a low corrosion rate is 2.5 g/L. The efficiency of the optimum concentration is 65%. The result states that the guar gum is absorbed on the surface of the metal and gives an unchanging chelate five-membered-ring with ferrous cation Fe+2

Practitioners are convinced that information technology adoption can make manufacturing companies grow and are competitive in the global era; however, there are still many entrepreneurs who do not have the intention of adopting information technology. This study investigates manufacturing business owners perception that makes them reluctant to adopting information technology. These days, there is a phenomenon in which entrepreneurs are convinced of the benefits of adopting information technology, but do not plan to practice it. This conflict is interesting to be more thoroughly examined. The results of the study show that there are two negative perceptions causing business people reluctant to adopt information technology, they are high investment cost and cultural factors that cause difficulties in finding information technology workers. The results can be used to overcome mid-scale manufacturing companies problems of information technology adoption in Indonesia

The purpose of this research is to establish a supplier selection model for maintenance operations in the petrochemical industry in Thailand. The research identifies six factors that could be relevant to supplier selection success, including cost, quality, time, reliability, flexibility, and human resources. A survey was conducted of experts in maintenance supplier management in one of Thailand’s large petrochemical firms (n = 113). Results were tested using confirmatory factor analysis (CFA) and structural equation modeling (SEM). The findings showed that there were significant effects of cost, quality, flexibility, and human resources on the supplier selection success. However, factors including time and reliability were not significant. The implication of this research is that cost, quality, flexibility and human resources should be used to select appropriate suppliers in petrochemical maintenance operations. Limitations and opportunities for further research are also discussed for the findings

The etiology of abfraction defects is still in dispute. The etiology of these affections is not fully established. An important factor in the success of the treatment of abfraction defects of teeth by aesthetic restoration is the optimal choice of filling materials. It is impossible to improve the efficiency and quality of dental care without materials science. The aim of the study was to determine the strength of the restoration with uniaxial compression of the tooth before and after thermal cycling. The object of the study was 20 removed teeth with abfraction defects. The teeth were divided into two groups depending on the type of restoration. Half of the teeth were subjected to uniaxial loading in each group, the second half was subjected to thermal cycling before loading. Samples with indirect restorations showed greater strength both before and after thermal cycling.

In recent times and as far as technological advancement goes, the Internet of Things is the trending topic in the world. Internet of Things popularly called IoT is the internetworking of interconnected devices over the internet to enable interaction between those devices without any human interference. Cisco predicts at least 50 billion of such devices to be available by the year 2020. This leaves a huge gap as to the appropriate awareness and literacy of the world as a collective to be receptive of the massive IoT technology overhaul coming in the nearest future. This paper gives a little insight into the basics of IoT, its core fundamentals, its architecture and furthermore contributes to knowledge the application of IoT to the education sector. Considering the number of connected devices expected to be produced, it is expected also that sufficient amount of personnel are trained in IoT systems adequately to meet with the rising demand.

In this paper, zero speed is achieved in drive motor of an Electrical Overhead Travelling (EOT) crane by means of a dynamic braking system. There are two modes in the crane operation. The first one is running mode and another one is braking mode. In the zero speed braking, an induction motor is converted as a braking mechanism. The dynamic braking circuit is activated during the braking mode. In EOT crane, a thruster brake system is mostly used and it is an electro-mechanical device. The thruster brake is installed between the drive motor and gear box for controlling the load though the electric power is failed. The thruster brake is used to retard the rotating speed of motor shaft and to stop it at desired position. The Thruster brake and drive motor are energized simultaneously to run the crane/hoist is called the running mode and stop the crane/hoist by both are de-energized is called the braking mode. A small time difference (time clip) between the function of motor and thruster causes huge impact pulse on the gear box/shaft. This impact pulse may diminish the gear box/shaft progressively that cause load drop accident. For avoiding/minimizing the time clip, the drive motor is converted as a braking device during the braking mode. The drive motor will be turned to zero speed instead of deenergized

Efficiency of an internal combustion engine can be increased by increasing the heat energy generation inside the combustion chamber without effecting the performance of l ubricating oil and lessening the strength of the piston. The main aim of this paper is to determine temperature distribution in a four-stroke, single-cylinder, water cooled, variable compression ratio (3-9), variable speed (2200-3000 rpm) spark ignition engine with brake power of 2.2 kW at a speed of 3000 rpm with copper coated combustion chamber (CCE) [copper-(thickness, 300 µ) was coated on piston crown, inner side of liner and cylinder head] and compared the engine, with conventional combustion chamber (CE) with neat gasoline operation. Copper coated power piston, copp

The availability analysis of the crystallization system in a sugar plant is explored in the present paper. There are various subsystem which are complex in nature and are repairable.. In a sugar plant, there are (i) feeding system (ii) refining system (iii) evaporation system (iv) crystallization system. One of the important systems is crystallization system. The crystallization system includes crystallization units, centrifugal pump and Sugar grader unit. If anyone of these units fails, overall refining system fails. The mathematical modeling is used for analyzing the availability. The differential equations of first order are developed. Normalizing conditions are applied to find out steady state availability and the equations are resolved. This result is helpful for analyzing availability and for determining maintenance approaches of sugar industry.

The impactor effects were determined for foam filled structures under axial impact loading with parameters such as specific energy absorption, mean and peak crushing force. Crashworthiness behaviors for instance, mode of deformation and structures performance were studied using numerical solution after it validated to relevant experiment. The velocity has more significant influence than mass of impactor as outcomes of this paper. In addition, the correlation of crashworthiness indicators when kinetic energy constant in the various of impactor mass and velocity.