Forthcoming articles


International Journal of Intelligent Enterprise


These articles have been peer-reviewed and accepted for publication in IJIE, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of Intelligent Enterprise (14 papers in press)


Regular Issues


  • An analysis of mathematical models for multi-site production and distribution planning   Order a copy of this article
    by Gaurav Kumar Badhotiya, Gunjan Soni, M.L. Mittal 
    Abstract: In todays competitive globalised market, it is imperative for enterprises to improve their efficiency, provide better service to customers, and facilitate better production and distribution activities. To do so, organisations are opting for producing at multiple manufacturing sites situated at geographically distinct locations. In the last two decades, there has been seen an increasing trend in articles working in the field of multi-site production and distribution planning. This paper defines multi-site production and distribution planning problem and provide direction for researchers and practitioners to understand the field and develop mathematical models in this area. The main objective of this paper is to analyse the existing mathematical models for identification of current research trend and future research directions. The literature is classified based on the problem formulation approach, aspects of the model, solution approach and applications. Following the classification of the articles; discussion, research findings and future research directions are indicated.
    Keywords: multi-site manufacturing; production planning; distribution planning; production and distribution planning; mathematical model; review.

  • Electricity alternative for e-rickshaws: An approach towards green city   Order a copy of this article
    by Ravinder Kumar, Ravindra Jilte 
    Abstract: Today energy seems to be fundamental for keeping up the expectation for everyday comforts of the human. It is also notewothy point that energy crisis is a serious issue in the vast majority of the developing countries like India. A conceivable reason is that, the diminishing level of regular energy sources and the lack of initiatives for introducing the alternative sources of energy. Besides, the wasteful and illicit method for utilizing energy adds to the various problems related to the energy crisis. It gives the idea that the expanding measure of unapproved battery worked vehicles and their unlawful method for utilizing electricity is one of the fundamental reason of energy deficit in the various states of the nation. Battery operated electric e-rickshaws have recently emerged in the public road transport sector in India. This study deals with the present situation of the e-rickshaws and electricity alternatives for their usage in India. The biogas as a potential renewable source of energy can be proved as an alternate potential and efficient solution to the energy crisis. Also, natural impacts, social advantages, and difficulties for setting up a biogas plant have been assessed.
    Keywords: Biogas; Electrical Energy; E-rickshaw.

  • Performance optimisation for ethanol manufacturing system of distillery plant using particle swarm optimisation (PSO) algorithm   Order a copy of this article
    by Amit Kumar, Vinod Kumar, Vikas Modgil 
    Abstract: The paper deals with performance optimisation for ethanol manufacturing system of distillery plant using particle swarm optimisation (PSO) algorithm. The performance of the system is first estimated with the help of transition diagram and a mathematical model based on Markov approach in real working environment. The differential equations associated with the transition diagram are developed assuming that the failure and repair rate parameters of each component follow the exponential distribution. The long-run availability expression for the system has been derived using probabilistic approach using normalising condition. The availability of the system is then computed with the help of PSO technique and compared with the genetic algorithm (GA) results to verify the solution. The results show that PSO modifies the solution more precisely and provides the optimum combinations of failure and repair rate parameters for various subsystems which are practically useful in maintenance planning for plant personnel.
    Keywords: long-run availability; ethanol manufacturing system; Markov approach; particle swarm optimisation (PSO); genetic algorithm (GA).

  • Impact of structural empowerment on organisational performance: EmpowermentHR interface   Order a copy of this article
    by Pallavi Tyagi, Hardik Shah 
    Abstract: Structural empowerment (SE) is defined as a management process under which an employee gets an access to organisational decision-making, information and resources. On analysing definition, one can sense that as a close relationship between SE and OP. This research article made an attempt to explore the facets of SE and their impact on OP using mixed-method research. Data from 206 research and development employees (using structured survey) have been collected from a research institute Translational Health Science and Technology Institute (THSTI), Faridabad (Haryana), India. To determine and identify the impact of SE on organisation performance (OP), seven in-depth interviews have been conducted. The results found that there exists significant positive correlation between structured empowerment facets and OP. It was further found that SE significantly predicts the change in OP. It further suggested different HR interventions to enhance SE and OP.
    Keywords: structural empowerment; participative decision-making; access to information; THSTI; organisational performance; R&D employees; HR interventions.

  • Identification of Total Quality Management Constructs for Indian Schools   Order a copy of this article
    by Vineet Joshi, Nitin Seth 
    Abstract: Managing quality in schooling system has always been a debate and area of concern for both researchers and practitioners. Managing quality in schools is very complex and demands for considering attention of stakeholders, the school management, non-teaching staff and of course, the government, and regulators. It is therefore, important that the quality of schools is continuously evaluated, monitored and improved for gaining competitiveness. This paper makes an attempt to identify such TQM criteria especially for Indian schooling system. This study adopts structured Delphi technique through consultation with a 26-member team of top experts. 10 TQM implementation measures and 6 performance measures have been identified for in Indian Schools. These TQM measures can further be used to formulate a framework for the implementation of TQM practices in schools. This paper demonstrates how the structured Delphi method can be used to investigate and identify TQM constructs and performance measures for Indian schools.
    Keywords: Total Quality Management; School; Education; Delphi Method; Performance Measurement.

Special Issue on: Smart City Applications

  • Performance study of Routing Protocols based on node mobility in MANETs   Order a copy of this article
    by Younes BEN CHIGRA, Abderahim GHADI, Mohamed BOUHORMA 
    Abstract: Mobile Ad Hoc network (MANET) is established by a set of smart mobile nodes without any central intelligence. Hence, nodes auto-discover their surrounding and establish needed links between source and destination node. Moreover, mobile nodes change arbitrary their position, which lead to frequent link failure. Therefore, the dynamic behaviour of nodes has a drastic impact on networks performances such as end-to-end delay, packet loss ratio and traffic control that is generated during route update process. Consequently, the main issue in MANETs operations is the design of an efficient routing protocol able to deliver required quality of service in case of nodes mobility and manage the intrinsic limitation of wireless networks, like scares bandwidth, limited energy and processing capabilities. The purpose of this paper is to study the impact of nodes mobility on routing performances and look forward an appropriate optimisation that might enhance efficiency of routing protocol in high dynamic environment.
    Keywords: Routing protocols; Network performances; Mobile Ad Hoc Network (MANETs); Mobility; Traffic overhead; Routing metrics.

  • A memetic algorithm for fleet size and mix vehicle routing problems with electric modular vehicles   Order a copy of this article
    by Dhekra Rezgui, Jouhaina Chaouachi Siala, Wassila Aggoune-Mtalaa, Hend Bouziri 
    Abstract: This work deals with an extension of the well-known Vehicle RoutingrnProblem with Time Windows (VRPTW), where the fleet consists of electric modular vehicles (EMVs). The main drawback of managing electric vehicles isrnthat they have a limited range. Here the vehicles are modular which means that payload modules are carried by a cabin module and can be detached at certain customer locations allowing the rest of the vehicle to continue the tour. This can also permit to recharge the battery of some modules to further capitalize on the gained energy. To tackle the resulting research problem, a comprehensive mathematical formulation is proposed to take into account the multiple constraints linked with the modularity, the electric charging, time windows to serve the customers and capacity issues. Due to the NP-hardness of the problem, a memetic algorithm is implemented and tested for designing good quality solutions in reasonable computational times. Extensive computational experiments carried out on some benchmark instances show the effectiveness of both the problem formulation and the memetic algorithm.
    Keywords: Urban logistics; Vehicle Routing Problem; Metaheuristics; Electric Modular Vehicles.

    Abstract: Abstract: IT Governance of projects needs collaboration among several organisms. Collaboration is ensured by building network of collaboration between the collaborating entities; IT Collaboration between organizations can play an important role to achieve business objectives. In order to build such networks of collaboration at a real scale need modeling social interactions between different actors in order to share, analyze, and suggest improvements for a collaborative perspective. This paper describes a new tool for collaboratively modeling based on Actor Network Theory. *CollabANT system is based on Actor Network Theory and Game Theory algorithm that efficiently provides abstract models of collaboration between different actors aiming at uncovering cost allocations concerns. We demonstrate the effectiveness of our approach with a real case study. The analyze of *interessement phase reveals that we are able to increase the cost saving objectives within a collaborative mode. We also present a what-if simulation feature to assess the impact of scenarios related to future collaboration evolution. Furthermore, we provide a live deployment of the *CollabANT system that allows users to explore the dynamics of collaboration networks in place as well as their involvement over time.
    Keywords: Actor Network Theory; IT governance; Cost-Sharing; Cooperative game theory; Shapley value; Collaboration Network; socio-technique.

Special Issue on: Digital Innovation and Intelligence Analysis of E-Business Collaborations and Societal Challenges

  • Clustering of Text Documents with Keyword weighting function   Order a copy of this article
    by CHRISTY A, MeeraGandhi.G G, Vaithyasubramanian S 
    Abstract: In this digital world, Data is available in abundance everywhere and it is growing at a phenomenal rate. Making data available readily for decision making is an important task of data analyst. In this article, we propose an unsupervised learning algorithm for text document clustering by adopting keyword weighting function. Documents are pre-processed and relevant keywords based on their weights are grouped together. Clustered Keyword Weighting (CKW) takes each class in the training collection as a known cluster, and searches for feature weights iteratively to optimize the clustering objective function, in order to retrieve the best clustering result. Performance of CKW is validated by clustering BBC news collection text collections. Experiments were conducted with simple K-Means, Hierarchical clustering algorithms and our keyword weighting and clustering approach has shown improved cluster quality compared to the other methods.rn
    Keywords: Documents; Cluster; Unsupervised; Feature; K-Means; Normalized; etc. rn.

  • Fuzzy Association Rule Mining for Economic Development Indicators   Order a copy of this article
    by Deepesh Kumar Srivastava, Basav Roychoudhury, Harsh Vardhan Samalia 
    Abstract: This paper is focused on fuzzy mining approach to extract fuzzy association rules among the economic development indicators that are Net official development assistance received (ODA), foreign direct investment (FDI) and gross domestic product (GDP) for developing country India.This study is an attempt to explore the use of fuzzy association rule mining on time series data and to extract interesting association rules therefrom. The extracted rules exhibit the relative volatile nature of these three development indicators. A fuzzy membership function is used to transform the quantitative values of percentage change of each successive year datum into fuzzy sets in linguistic terms. The scalar cardinality of each linguistic term is calculated on the yearly data. Only those fuzzy association rules that qualified the criteria of minimum support and minimum confidence value were taken into consideration. The rules thus mined out exhibit quantitative regularities and can be used for the better suggestion to appropriate policy makers.
    Keywords: Development indicators; Association rules; Fuzzy sets; Membership function.

  • Integrating the Power of Social Media Dataset Impact in Medical Diagnosis   Order a copy of this article
    by Suresh A, A. Jayanthiladevi 
    Abstract: Technology gives consumer the power to investigate products to label them and criticize them in equal measure, and more. The emergence of Internet-based social media has made it possible for one person to communicate with hundreds or even thousands of other people about products and the companies that provide them. Due the impact of consumer-to-consumer communications is a most impressiveness in the marketplace. Therefore many companies today have pages on social networks to complement the information held about products, the feedback of consumers about products and tend to relate more to a company after reading various reviews. This paper is discusses about the dataset used in this work for medical diagnosis, experimental scenario and also about obtained result and discussion of the proposed system and reason for achievements on decision making process. We have collected 10000 records from weblog dataset for experiments in this work for behavioural analysis. Initially, feature selection by using knowledge base and send it for classification using WEKA tool and JAVA. WEKA is a collection of machine learning algorithms for data mining tasks. The proposed algorithms applied to the dataset from Java code and it contains tools for data analysis and predictive modeling. The input dataset of the WEKA are used in the form of CSV file. The various results obtained by the proposed model and other models and classifiers. Performance of the proposed hybrid behaviour analysis model which is the combination of SMO classifier and Rule based Classification algorithm. The performance comparative analysis between the proposed rules based classifier, C4.5 and SMO. The performance of the proposed hybrid behaviour analysis model provides better performance than individual performance of other classifiers.
    Keywords: social network; online buying; consumer behavior; and Rule based classifier: C4.5 and SMO and Hybrid model.

  • Heterogeneous Network Security Management   Order a copy of this article
    by Narmadha Ramakrishnan 
    Abstract: The main objective of this paper is to develop authentication delay model for inter domain or intra-domain authentications. Authentication is a security mechanism used to identify mobile nodes(MN) and prevent unauthorized usage when inter-domain or intra domain handoff happens. The latency due to authentication procedure is known as authentication delay. The authentication delay depends on Message propagation time, Message transmission time, Message encryption/decryption time, Authentication request service and waiting time at the Access Point, Authentication request service and waiting time at the server, Key encryption & decryption time, Key generation time and the registration request service and waiting time, etc., In existing systems, Authentication Delay modelling of homogeneous network domain has been carried out and actual values are not applied for modelling the authentication delay. In the proposed system Authentication Delay modelling of heterogeneous network domain will be carried out and actual values will be applied for modelling the authentication delay.rnrn
    Keywords: Security; Interworking networks; Authentication; Key Management.

Special Issue on: Big Intelligent Enterprise For Sustainable Computing

  • Rapid Retrieval of Secured Data from the Sensor Cloud using a Relative Record Index and Energy Management of Sensors   Order a copy of this article
    by Geetha S, Deepalakshmi P 
    Abstract: A massive amount of data is produced by sensors. The data eventually finds a place in the cloud through a base station. Occasionally, the data collection process is disrupted as a result of the energy level of the sensor network. The energy of sensor batteries can be drained by voids. Void sensors do not propagate messages intended for the destination. We have addressed the issue of voids in sensors with the Dynamic Void Removal Algorithm. Data stored in the cloud is being used and retrieved by multiple customers through specifying the relative record index of the sensor data collected. A security mechanism is built with the help of the relative record index associated with sensor data collection. Authenticated customers are given a secret key to rapidly retrieve data from the cloud. Meanwhile sensor networks require a secure mutual authentication scheme in an anxious network environment; we use the Relative Record Index method to design a new user authentication procedure. Our etiquette can handle all problems thrown up by the former schemes. Furthermore, it enhances Wireless Sensor Network authentication with a higher degree of security than other protocols. Therefore, our protocol is more suited to an open and higher-security Sensor Network environment despite greater computation cost and energy.
    Keywords: Wireless Sensor Network (WSN); Sensor Cloud (SC); Void Sensors (VS); Dynamic Void Removal Algorithm (DVRA); Relative Record Index (RRI).

  • Comparative Study on IDS using Machine learning approaches for Software Defined Networks   Order a copy of this article
    by Muthamil Sudar K, Deepalakshmi P 
    Abstract: Software Define Networking (SDN) is an emerging network approach that separates the data plane from control plane and enables programmable features to efficiently handle the network configuration in order to improve network performance and monitoring. Since SDN contains the logically centralized controller which controls the entire network, the attacker mainly focuses on causing vulnerability towards the controller. Hence there is a need of powerful tool called Intrusion Detection System (IDS) to detect and prevent the network from various intrusions. Therefore, incorporation of IDS into SDN architecture is essential one. Now a day, Machine Learning (ML) approaches can provide promising solution for the prediction of attacks with more accuracy and with low error rate. In this paper, we surveyed about some machine learning techniques such as Naive Bayes, Decision tree, Random forest, Multilayer Perceptron algorithms for IDS and compare their performance in terms of attack prediction accuracy and error rate. Additionally, we also discussed about the background of SDN, security issues in SDN, overview of IDS types and various machine learning approaches with the knowledge of datasets.
    Keywords: IDS; Machine learning (ML); Software defined networking (SDN); Naïve Bayes; Decision Trees; Random forest; Multilayer perceptron; Datasets.