International Journal of Enterprise Network Management (9 papers in press)
A Model of Institutionalising Practices by SMEs in China
by Jonathon Hu, John Stanton
Abstract: How and to what effect small businesses in China build and utilise their guanxi networks as an informal institution remain unanswered questions. Modelling and testing a model of institutionalising, or the performance-conducive managerial practices involved in building, leading, and utilising a SMEs guanxi institution, is the purpose of this paper. Drawing from the literature and interviews we propose key aspects of institutionalising practices, the antecedents of each aspect, and a survey questionnaire which were hand-delivered to 308 SMEs in China, achieving 212 valid samples. Governing, Diversifying, Weaving, Sharing and Distributing, the five institutionalising aspects hypothesised in the SME institutionalising model, were found to moderately covary with each other and contribute significantly to SME performance. The strategic actions corresponding to the five aspects can help a SME identify its institutionalising deficiencies and acknowledge its institutionalising achievements. The model also enables SME stakeholders to effectively explain, anticipate and respond to institutionalising actions. The findings indicate that institutionalising is not only to gain institutional legitimacy as suggested in the extant literature, but also to strive for institutional prestige within the Chinese institutional environment.
Keywords: institution theory; Chinese business network; guanxi; SME.
Android Controlled Autonomous Robot Car
by Shivendra Singh, Sureshkumar Nagarajan
Abstract: A robot is a diverse electro-mechanical machine which is developed using electronic circuits, mechanics and programmed by computer. Number of robots with diverse features have been invented for manufacturing and industrial purpose. As we all know, now our world is revolving around mobile devices. Most of the people in todays world own mobile phones. So controlling a robot with mobile is the vision of this project. The project presented below is a miniature model of a Bluetooth controlled device which is based on the Android Operating System as the software interface and an Arduino Atmega328 microcontroller as the hardware component. The project is implemented in the form of a Bluetooth controlled autonomous car. Car movement will be controlled from an Android device which will direct the movement of the car based on the input given by pressing the buttons on the screen which will direct the car to move accordingly in different directions.
PROCESS PARAMETERS SELECTION FOR LASER WELDING OF 304-STAINLESS STEEL USING AHP METHOD
by Balakrishnan Navamani, R. Rajesh, K. Ganesh
Abstract: Industry is the back bone of every country. A wealth of the country will be measured always in terms of their social, economical and industrial growth. An industry success is always depends on various parameters including their machineries and equipments. Welding is the one of the very important terminology used in mechanical engineering. Joining the two metals the welding is playing a vital role. Different types of welding, different types of joints, different types of process etc., are the few in welding terminology. In Latest technology of welding is Laser welding. There are many advantages in laser welding and also different technique to be followed in this laser welding. There are many process parameters are used through laser welding technology and chose the best one will be selected through Analytical Hierarchy Process (AHP) Method. Here in this paper the selection process parameters for Laser welding of 304 stainless steel using AHP Method is described by selecting three process parameter variables like laser Power, welding speed and welding angle of incidence and three response parameters like penetration depth, weld width and shear strength.
Keywords: AHP; Laser welding.
Multimodal logistics for Indian automotive sector
by Balakrishnan AS, Jayshree Suresh
Abstract: In the developing countries like India, to support and sustain any future growth, adequate road and rail infrastructure is required. Investment in infrastructure, use of multiple transportation modes to increase the supply chain efficiencies and green innovation in logistics are the solutions. This research study comprises the conceptual framework on the multimodal logistics practices to improve logistics performance, descriptive statistics of multimodal transportation using rail and road mode and a case study on Ford Indias finished vehicle distribution using multimodal network. Research outcome reveals an increasing interest towards multimodal logistics in Indian automotive to improve logistics performance, transport attributes from framework aligned with key performance indicators from the case study.
Keywords: Multimodal logistics; logistics performance; Rail and road; Green innovation; finished vehicle distribution; India.
POWER QUALITY IMPROVEMENT IN MICROGRID USING CUSTOM POWER DEVICES
by Prajith Prabhakar, Vennila Rajesh
Abstract: Abstract Power quality may be caused when maximum AC loads consume reactive power. Distribution STATCOM is a custom power device (CPD) which is used to control the flow of reactive power in the Micro grid. Compensation of reactive power and the other power quality issues are being analyzed with the help of Model Predictive control (MPC) algorithm. The detailed modeling and simulations of MPC with DSTATCOM are presented and implemented along with necessary equations in the MATLAB simulink using the simpower systems tool boxes.
Keywords: Keywords — Power Quality; Reactive power control; Microgrid; predictive control; DSTATCOM.rnrn.
Estimating the parameters of Software Reliability Growth Models using Hybrid DEO-ANN Algorithm
by Shailee Lohmor, B.B. Sagar
Abstract: The parameter estimation of Software reliability growth model (SRGM) is extremely useful for software developers and has been broadly acknowledged and applied. However, each SRGM contains some undetermined parameters and estimation of these parameters is a fundamental task. Mostly, these parameters are estimated by the Least Square Estimation (LSE) or the Maximum Likelihood Estimation (MLE). However, these methods impose certain constraints on the parameter estimation of SRGM like requiring the modelling function. In this paper, we propose an efficient approach to estimate the parameters of software reliability growth model (SRGM) using a Hybrid Dolphin Echolocation Optimization-Artificial Neural Network (DEO-ANN) through parallel computation. The DEO is utilize to optimize the weights and the structure of the ANN to reduce computational complexity. The performance of the proposed approach for parameter estimation of SRGM is also compared with other existing approaches. The experimental results show that the proposed parameter estimation approach using DEO-ANN is very effective and flexible, and the better software reliability growth performance can be obtained on the different software failure datasets.
Keywords: Software Reliability Growth Model (SRGM); Parameter Estimation; Least Square Estimation (LSE); Maximum Likelihood Estimation (MLE); Dolphin Echolocation Optimization (DEO),Artificial Neural Network(ANN).
MULTI - OBJECTIVE OPTIMIZATION OF MAHUA OIL TRANSESTERIFICATION USING RESPONSE SURFACE METHODOLOGY AND GREY RELATIONAL ANALYSIS
by R.R.Neela Rajan, R. Rajesh
Abstract: A mathematical model for the transesterification of Mahua oil was developed at five different process parameters such as catalyst concentration, methanol to oil ratio, reaction time, stirrer speed and extraction temperature. A three - level five factorial Box Behnken - Response Surface Methodology (RSM) was employed to design the experiment. Analysis of variance (ANOVA) of experimental results at 95% confidence level showed that catalyst concentration and methanol to oil ratio were significant process parameters in the transesterification process and the predicted values were quite close to the experimental values, thus, validating the credibility of the model. The Grey Relational Analysis (GRA) was employed to optimize the process parameters for minimizing the viscosity of transesterified mahua oil and maximizing the yield of mahua oil biodiesel.
Keywords: Mathematical model; Transesterification; Mahua oil; Process parameters; Box – Behnken - RSM; Analysis of variance; GRA; Yield and Viscosity.
IMPROVING OPERATIONAL EFFICIENCY IN UTILITY SECTOR THROUGH TECHNOLOGY INTERVENTION
by Sanjay Mohapatra
Abstract: The purpose of this paper is to perform an empirical study of factors which determine the improvement of operational efficiency in utility sector. After numerous literature review, the variables that affect operational efficiency were identified which are common across different utilities.All the stake holders were interviewed. The interview was taken using a structured questionnaire, which contained questions mainly on Likert scale. The data was collected from 15 villages and 3 urban areas. Data from 222 respondents was collected, out of which 52 respondents were domestic rural consumers, 50 respondents were domestic urban consumers, 50 respondents were non-government employees, 60 of the respondents were government employees and 10 respondents were expert to the utility The data collected was divided into two sets, the first data set contained data pertaining to rural and urban domestic consumers and the second set contained data pertaining to government employee, non-government employee and experts. The analysis was then done separately for the two sets of data. Thereafter the collected data was analysed using Exploratory factor analysis technique in SPSS. The factors which came out during the exploratory factor analysis were used to perform confirmatory factor analysis by drawing a model in SPSS AMOS. From the analysis, the factors which are most important in determining the operational efficiency of the utility was determined for the two sets of data separately. It was found out that Process re-engineering and reducing AT&C losses are the most important factors that determine operational efficiency. The research was conducted considering certain factors which were conjured to have a role in determining the operational efficiency of a utility. Certain other factors of significance might not have been taken into account. The research was carried out with the responses from the people through a random sampling belonging to a particular region or geography. The scenario might vary with respect to other geographies. Due to time constraint, the sample size was also limited. A greater sample size should be taken to find out the real factors which determine the operational efficiency.
Keywords: Operational Efficiency; Domestic rural consumers; Domestic urban consumers; Government employees; Non-government employees; Experts; Exploratory factor analysis; Structural equation modelling; Confirmatory factor analysis.
Identification of influencing factors for the selection of RLSP using DEMATEL method
by Robin Divahar S, Sudhahar C, Karthikeyeyan L M, Edwin Raja Dhas J
Abstract: The selection of Reverse Logistics Service Provider (RLSP) can bring economic benefits. Considering the current development of reverse logistics in manufacturing, process and domestic appliances industries, this paper proposes a set of factors influencing selection of service provider and uses a DEMATEL method to establish relation matrixes reflecting the relationships among those factors. The interaction among the criteria is analyzed before arriving at a decision for the selection of RLSP. The research enables better understanding of the complex relationships of the key attribute in the decision making environment and improves the reliability of the decision making process.
Keywords: Reverse Logistics Service Provider (RLSP); DEMATEL; Decision Making Expert (DME).