Showing papers by "Abid Haleem published in 2016"

Barriers in green lean six sigma product development process: an ISM approach

Abstract: In today’s competitive globalised business environment, production cost cutting is a primary issue before operation managers. As a research area, green lean six sigma (GLS) is proposed to have strategic importance in product development towards cutting costs, contributing to optimisation, and achieving sustainability. This research requirement has been realised to draw benefits out of three recent and involved approaches (green, lean and six sigma). In this research, an attempt has been made to address barriers in GLS product development (GLSPD) from an extensive literature review and from experts’ opinions towards developing a hierarchical model structuring these barriers. Twenty-one barriers have been identified and sorted from the review of literature and were then validated through discussions with experts. Relationships (contextual in nature) among these barriers have been realised during a brainstorming session. An interpretive structural modelling (ISM) technique has been utilised for devel...

Modeling of critical factors for integrating sustainability with innovation for Indian small- and medium-scale manufacturing enterprises: An ISM and MICMAC approach

Abstract: The growth of any country depends upon the existence of small- and medium-scale enterprises (SMEs). The greater the number of SMEs present in any country, the economy of the country increases in the same proportion. This paper uses the qualitative research technique to study the critical factors which affect the integration of sustainability with innovation taking into account Indian manufacturing SMEs. An ISM approach is applied to establish the interrelationship between the various critical factors. And with the help of Fuzzy Micmac technique, driver dependence power diagraph is created. From our analysis, it has been found that “government regulation” has the highest dominating power which helps in successful execution of integrating sustainability with innovation. Variables “employee nature” and “working culture” have the highest dependence power. The success of these variables depends on the success of the variables below them. Finally, the limitations of using the above techniques are discus...

Evaluation of factors important to enhance productivity

Abstract: Productivity as a measure for output is important to industry and academia. In this research, factors to enhance productivity have been identified from the literature by reviewing various international and national sources to explore this evergreen field of research that is “productivity,” which has always been an increasingly interesting area of research for researchers over decades or perhaps over centuries. In total, 15 number of factors have been identified to enhance productivity. Analytic hierarchy process approach has been appropriately chosen to rank these factors because of its simplicity and effectiveness. The tool has been used by taking perception of experts from the Indian manufacturing industry. Positive attitude and involvement of management, proactive employees, and good working conditions have been ranked as top three factors as per the experts’ opinion. The ranking of factors to enhance productivity, categorization of the factors into four perspectives, and hierarchy of perspecti...

Comparative evaluation of GSCM practices in automotive components manufacturing firms of India: a fuzzy TOPSIS approach

Abstract: Managing process of greening the whole supply chain encompasses careful and critical examination of supply chain members, upstream and downstream supply chain members. This paper provides comparative evaluations of GSCM practices in automotive components manufacturing firms of India towards effective green supplier selection by taking a real world problem. GSCM practices were sorted from extensive review of literature and structured questionnaire was formed; and the data was collected from selected firms to evaluate their current GSCM practices adoption. A fuzzy TOPSIS technique has been applied for comparative evaluations of GSCM practices in selected four automotive components manufacturing firms and to rank these selected firms. The influence of preferences provided by decision makers has also been analysed using sensitivity analysis to examine and demonstrate the robustness of the adapted methodology. Our study has implications for SC practitioners/managers to solve MCDM problems related to effective implementation of GSCM practices in firms.

Selection of Rapid Prototyping Technology Using an ANP Based Approach

Abstract: Multi-criteria decision making Analytical Network Process Approach (ANP) is used in selection of Rapid Prototyping technology for University/Institute for performing research work because buyer may has low degree of experience in decision making with respect to machines. A frame work is developed by considering qualitative and quantitative attributes in the selection of rapid prototyping machine. This paper represents the relationship among the qualitative and quantitative attributes. For validity of framework a Sensitivity analysis is also done to analyse the effect of weight age which may be varies according to expert experience.

Modeling knowledge sharing factors and understanding its linkage to competitiveness

Abstract: The knowledge-based view of organizational behavior emphasizes the importance of knowledge for organizations to retain their competitive advantage. Thus, the success of knowledge sharing is important because, if successful, it results in shared intellectual capital. Knowledge is one of the most important assets of a business which influence competitiveness, thus we need to understand the relationship between knowledge sharing and competitiveness. This study investigates possible factors of resistance or support by knowledge workers to the sharing of knowledge within an organization. Further the relationship among knowledge sharing factors with competitiveness has been explored from the available research. Based on the study of various organizations it is found that the existing knowledge is not being effectively disseminated throughout the organization, resulting in lost productivity and opportunity as a result of failure to exploit available knowledge. Major factors of Knowledge-Sharing (KS), which are important to improve the competitiveness of organizations in international business, were identified, and an integrated model of these factors has been developed using interpretive structural modeling (ISM). The developed model has been further improved with the application of fuzzy MICMAC. The generated model may help in better sharing of knowledge in organizations and will help in correlating with competitiveness.

Benchmarking using an index for bullwhip effect mitigation

Abstract: Article history: Received April 20, 2015 Received in revised format October 10, 2015 Accepted October 15 2015 Available online October 16 2015 Bullwhip effect is one of the serious problems caused by uncertainty in supply chain management. Graph theoretical approach has been utilized by some of the authors towards evaluation of various phenomena performance. This paper has been an attempt to develop bullwhip effect mitigation index (BWEMI), which is a single numerical benchmarking index utilizing graph theory and matrix (GTM) method. Review of literature and subsequent discussions with experts to obtain their valuable opinions regarding managing supply chains have been utilized to complement and supplement the variables. Digraph theory has been used to develop various matrices showing interactions among bullwhip effect mitigation factors. The tool so developed may help supply chain managers to analyze and quantify efforts towards bullwhip effect mitigation. Growing Science Ltd. All rights reserved. 6 © 201

Critical factors important for effective industry- institute interactions (iii): an indian perspective

Abstract: The management of Industry-Institute Interactions (III) has been found to be an important aspect in today’s market. In this paper an attempt has been made to identify Critical Factors (CFs) and rank these for effective III from an Indian perspective. The present paper is based on two research stages. Initially, an extensive literature review was conducted to identify CFs of III. Forty three CFs for effective III were identified and categorized into nine dimensions based on input from experts. In the second stage, the Analytical Hierarchy Process (AHP) was utilized to rank these dimensions and CFs for effective III from an Indian perspective. Paired comparisons in AHP were based on the opinions of experts (selected from academia and industry). The proposed decision framework may offer some valuable guidelines for policy makers to develop their plan of action in terms of design of short and long term policies and strategies to promote effective III in India. A sensitivity analysis was also performed to investigate the robustness and priority ranking stability of CFs in the proposed framework. This paper may help India to achieve and manage effective III leading to potential economic, social, political, cultural and environmental advantages.

Thermodynamic analysis and utilisation of wet ethanol in homogeneous charge compression ignition engine

Abstract: In this study, our objective is to computationally analyse the wet ethanol operated homogeneous charge compression ignition (HCCI) engine to evaluate its first and second law efficiency and observe these results by varying effectiveness of regenerator. The paper concludes that the first and second law efficiency decreases due to the increase in the effectiveness of regenerator. This increase in effectiveness leads to an increase in the temperature of air coming out of the regenerator. It further results in increase of the fuel air mixture intake temperature which finally reduces the work output and efficiency of the engine. Furthermore, the method of exergy analysis has been applied and evaluated. This study indicates that due to domination of chemical exergy destruction in combustion reaction in these systems, maximum exergy is destroyed in HCCI engine and to a lesser extent in catalytic converter. These findings will help in the design of such system for optimum result.

Technology rapid prototyping technology ranking using an anp approach and its sensitivity analysis

Abstract: There are many rapid prototyping machine available in the market and all of them have their own advantages and limitations. When the time come to purchase a new machine it is a crucial decision to select best alternate available in the market. Here in this paper analytical network process approach is applied to this problem. This approach help in selecting best machine among the available options. A Frame work was developed in previous paper 1 for Selection of RP Technology based on some qualitative and quantitative attributes. In this paper Multi criteria based decision making Analytical Network Process Approach (ANP) is used for ranking and its sensitivity analysis done for robustness of framework.

Rapid prototyping technology ranking using an anp approach and its sensitivity analysis

Abstract: There are many rapid prototyping machine available in the market and all of them have their own advantages and limitations. When the time come to purchase a new machine it is a crucial decision to select best alternate available in the market. Here in this paper analytical network process approach is applied to this problem. This approach help in selecting best machine among the available options. A Frame work was developed in previous paper 1 for Selection of RP Technology based on some qualitative and quantitative attributes. In this paper Multi criteria based decision making Analytical Network Process Approach (ANP) is used for ranking and its sensitivity analysis done for robustness of framework.

Optimal Design of a Production System

Abstract: The main objective of the manufacturing is to find a compromise between productivity and high efficiency. To achieve the goal, Industry have to solve many number of problems at the manufacturing floor. The author has conducted number of experiments on different manufacturing industries and collected processing time of each part in the cell and total time of completion and weekly production of the Firms and the same are considered by author for this research work to establish the objectivity of this work Three objectives function namely, minimizing the mean flow time; maximization of throughput; Combination of minimization of mean flow time and maximization of throughput has been developed. Mean flow time and throughput were calculated from conventional techniques as well as optimization techniques namely Genetic Algorithm and simulating annealing techniques. Results from both the optimization techniques were compared. From the results obtained by the execution of all the primitive and deterministic approaches on the sample problems with varying complexities.

Production & manufacturing | research article

Abstract: 2 Abstract: Productivity as a measure for output is important to industry and academia. In this research, factors to enhance productivity have been identified from the literature by reviewing various international and national sources to explore this evergreen field of research that is "productivity," which has always been an increasingly interesting area of research for researchers over decades or perhaps over centuries. In total, 15 number of factors have been identified to enhance productivity. Analytic hierarchy process ap- proach has been appropriately chosen to rank these factors because of its simplicity and effectiveness. The tool has been used by taking perception of experts from the Indian manufacturing industry. Positive attitude and involvement of management, proactive employees, and good working conditions have been ranked as top three factors as per the experts' opinion. The ranking of factors to enhance productivity, categorization of the factors into four perspectives, and hierarchy of perspective and action plan as a final outcome of the paper may help academia and operations managers toward effective management of "operations and production activities of firms/supply chains."