International Journal of Intelligent Enterprise (10 papers in press)
A Review of Multi-objective Inventory Control Problems
by Peeyush Vats, Gunjan Soni, Ajay Pal Singh Rathore
Abstract: This paper presents a comprehensive review, summary, and discussion on multi objective inventory control problems and the solution approaches. Since past decade, no seminal review paper has been published on multi objective inventory problems and the solution approaches. Therefore there is a requirement to present a review on the relevant field. In this review paper, current research practices in the relevant field and further research directions are suggested. This paper will be helpful for researchers and practitioners as; it is a single source of the relevant articles and helps to keep up to date on previously published research papers on multi objective inventory problems and the various solution approaches.
Keywords: Multi objective; inventory problems; solution approaches; review.
A Framework for Sustainable Supply Chains: Evaluation of Implementation Barriers
by Bikram K. Bahinipati, Swayam S. Panigrahi
Abstract: Sustainable supply chain Management (SSCM) identifies and integrates a set of key business processes to provide products, services and information for value addition through collaborative and sustainable efforts of supply chain members. In order to accomplish this objective, sustainable supply chain practices need to be implemented to ensure a strong and healthy society without compromising the performance limits and governance, while attaining the environmental, economic, and social goals. The literature and industry experts have identified the critical inhibiting indicators for the successful implementation of SSCM practices. The sustainable supply chain evaluates different alternatives against multiple sustainable practice attributes which should be considered simultaneously to arrive at an appropriate implementation decision. The focus of this paper is to develop a framework for implementation of sustainable practices in Indian Small and Medium Enterprises (SMEs) for competitive advantage. An analytic hierarchy process (AHP) framework has been proposed for SMEs to resolve the conflicts and quantify the impact of critical inhibitors on SSCM implementation. The assessment of the priority weight of these inhibitors would help the decision makers to prioritise the action plan for implementation of SSCM practices. A sensitivity analysis is conducted to identify the sensitive points in the decision process.
Keywords: Sustainable Supply Chain; Implementation Barriers; Analytic Hierarchy Process; Sustainable Practices; Sensitivity Analysis; Implementation framework.
An analysis of mathematical models for multi-site production and distribution planning
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.
Alignment of IT/IS In Business Strategies and Conceptual Knowledge of Employees: A Case Study of National Planning Commission of Namibia
by Habib Ullah Khan, Fillemon Johannes
Abstract: Adopting information technology or upgrading the existing technology being an expensive affair, thorough ground work involving all the staff is very much mandatory for successful expedite. As a step towards such process, NPC deployed a case study to know the conceptual knowledge of the employees regarding their awareness levels about the IT/IS strategies, business strategies of the organization and the benefits of the strategies alignment. So, the study is carried out by considering an unbiased sample of 62 staff recruited from all the departments. A structured study tool questionnaire is designed and is shared with all the members in a purely random manner. The sample is framed in such a way that it is representative of the population and has at least fifty percent of the total employees. The data obtained from such sample through questionnaire method served plethora of information regarding the status of employee knowledge levels. The data is analysed using statistical techniques like chi-square analysis and binary logistic regression model. A 5% level of significance is used to test the results. The analysis clearly portrayed the information gaps among the staff members as per their cadre, role and experience. It also revealed that staff with low level of experience (below 10 years) have very little or nil knowledge about the companys IT/IS initiatives and other related information. The study also advocated the concerned management and the policy makers to adopt the methodologies and practices to disseminate the vital information across all the streams of operations in organizations.
Keywords: IT/IS Strategies; National Planning Commission (NPC); Conceptual Knowledge Employees.
Prediction of Software Quality using Neuro-Fuzzy Model
by Saumendra Pattnaik, Binod Kumar Pattanayak, Srikanta Patnaik
Abstract: In the era of digital systems, management of software project is the biggest challenge. So early prediction of software quality plays a vital role in software industry. It helps the management to take the qualitative decision. In this paper the prediction model proposed by us is a hybrid one with the combination of neural network and fuzzy logic which discards their individual limitations. This model provides some features which are able to deal with various objectives during the time of software development process. Using this model the prediction of software quality can be measured that also helps in checking the errors and avoiding the expense of redoing.
Keywords: Fuzzy logic; neural network; software engineering; software quality; Lab-view; SPSS.
Electricity alternative for e-rickshaws: An approach towards green city
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
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
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.
Special Issue on: Digital Innovation and Intelligence Analysis of E-Business Collaborations and Societal Challenges
Clustering of Text Documents with Keyword weighting function
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
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.