Prem Singh and Himanshu Chaudhary
The purpose of this paper is to propose the dynamically balanced mechanism for cleaning unit used in the agricultural thresher machine using the system of point masses.
Abstract
Purpose
The purpose of this paper is to propose the dynamically balanced mechanism for cleaning unit used in the agricultural thresher machine using the system of point masses.
Design/methodology/approach
The cleaning unit works on crank-rocker Grashof mechanism. To balance the mechanism, the shaking forces and shaking moments are minimized by optimizing the mass distribution of links using the dynamically equivalent system of point masses. The point mass parameters are taken as the design variables. Then, the optimization problem is solved using Jaya algorithm and genetic algorithm (GA) under suitable design constraints.
Findings
The mass, center of mass and inertias of each link are calculated using optimum design variables. These optimum parameters improve the dynamic performance of the cleaning unit.
Originality/value
The proposed methodology is tested through the standard four-bar mechanism taken from literature and also applied to the existing cleaning mechanism of the thresher machine. It is observed that the Jaya algorithm is computationally more efficient than the GA. The dynamic analysis of the proposed mechanism is simulated using ADAMS software.
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Prem Singh and Himanshu Chaudhary
This paper aims to propose a dynamically balanced mechanism for cleaning unit used in agricultural thresher machine using a dynamically equivalent system of point masses.
Abstract
Purpose
This paper aims to propose a dynamically balanced mechanism for cleaning unit used in agricultural thresher machine using a dynamically equivalent system of point masses.
Design/methodology/approach
The cleaning unit works on crank-rocker Grashof mechanism. This mechanism can be balanced by optimizing the inertial properties of each link. These properties are defined by the dynamic equivalent system of point masses. Parameters of these point masses define the shaking forces and moments. Hence, the multi-objective optimization problem with minimization of shaking forces and shaking moments is formulated by considering the point mass parameters as the design variables. The formulated optimization problem is solved using a posteriori approach-based algorithm i.e. the non-dominated sorting Jaya algorithm (NSJAYA) and a priori approach-based algorithms i.e. Jaya algorithm and genetic algorithm (GA) under suitable design constraints.
Findings
The mass, center of mass and inertias of each link are calculated using optimum design variables. These optimum parameters improve the dynamic performance of the cleaning unit. The optimal Pareto set for the balancing problem is measured and outlined in this paper. The designer can choose any solution from the set and balance any real planar mechanism.
Originality/value
The efficiency of the proposed approach is tested through the existing cleaning mechanism of the thresher machine. It is found that the NSJAYA is computationally more efficient than the GA and Jaya algorithm. ADAMS software is used for the simulation of the mechanism.
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Prem Singh and Himanshu Chaudhary
This paper aims to present the optimum two-plane discrete balancing procedure for rigid rotor. The discrete two-plane balancing in which rotor is balanced to minimize the residual…
Abstract
Purpose
This paper aims to present the optimum two-plane discrete balancing procedure for rigid rotor. The discrete two-plane balancing in which rotor is balanced to minimize the residual effects or the reactions on the bearing supports using discrete parameters such as masses and their angular positions on two balancing planes.
Design/methodology/approach
Therefore as a multi-objective optimization problem is formulated by considering reaction forces on the bearing supports as a multi objective functions and discrete parameters on each balancing plane as design variables. These multi-objective functions are converted into a single-objective function using appropriate weighting factors. Further, this optimization problem is solved using discrete optimization algorithm, based on Jaya algorithm.
Findings
The performance of the discrete Jaya algorithm is compared to genetic algorithm (GA) algorithm. It is found that Jaya algorithm is computationally more efficient than GA algorithm. A number of masses per plane are used to balance the rotor. A comparison of reaction forces using number of masses per plane is investigated.
Originality/value
The effectiveness of the proposed methodology is tested by the balancing problem of rotor available in the literature. The influence of a number of balance masses on bearing forces and objective function are discussed. ADAMS software is used for validation of a developed balancing approach.
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Pinaki Dasgupta and Jones Mathew
Marketing management, digital marketing, advertising and promotion management, and technology management.
Abstract
Subject area
Marketing management, digital marketing, advertising and promotion management, and technology management.
Study level/applicability
The case is suitable for BBA and MBA students. It can also be considered in executive education programs.
Case overview
Venkatesh Kothapalli, the marketing head at Reebok India headquarters at Gurgaon, was in a decision dilemma about the effectiveness of using social media marketing and its employment in the current scheme of marketing strategy being planned. He had been able to generate a fair amount of awareness and excitement amongst potential users on Reebok's social media sites. However, these often fail to convert into topline sales. In addition, Alex his superior had given clear instructions that no separate budget would be earmarked for this type of medium. So Venkatesh had to divert some parts of his existing budgets (which he did from the PR budget and the DM budget) and channel these into the new area of social media marketing. This had also created concerns in Venkatesh's mind about the possibility of the new media not showing favourable results while budgets of the traditional and tried and tested media like PR and direct marketing were being chopped.
Expected learning outcomes
These include: understanding the dilemma of an organization's adoption of newer marketing tools as opposed to traditional marketing practices; evaluating the role of newer mediums like social media marketing and its long term and short term relevance; understanding the origins and development of social media marketing to grasp the full scale of its usefulness; and appreciating the complexities of measuring the effectiveness of social media marketing initiatives.
Supplementary materials
Teaching notes are available, please consult your librarian for access.
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This chapter examines the integration of Giving Voice to Values (GVV) into an accounting ethics course. GVV has received a great deal of interest by business educators in the past…
Abstract
This chapter examines the integration of Giving Voice to Values (GVV) into an accounting ethics course. GVV has received a great deal of interest by business educators in the past decade and, more recently, by those accounting faculty who teach accounting ethics in a standalone course or as part of another course. This chapter describes GVV assumptions and principles that are helpful for any faculty considering adopting GVV. After a brief review of different instructional approaches for teaching accounting ethics, GVV literature relating to accounting ethics is examined. The integration of GVV builds on the Kelly (2017) integration of leadership topics in an accounting ethics course and synergistically promotes moral motivation and moral character that contributes to ethical behavior. To facilitate the integration efforts, this chapter presents specific learning objectives, GVV background materials, case recommendations, and application/assessment approaches. This chapter concludes with a discussion of GVV and its possible role in assurance of learning efforts.
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This chapter examines the integration of leadership topics into an accounting ethics course. Literature review, course review, student feedback. Both practitioners and educators…
Abstract
This chapter examines the integration of leadership topics into an accounting ethics course. Literature review, course review, student feedback. Both practitioners and educators have called for broader education of accounting students in general, and student learning of leadership and interpersonal skills in particular, to prepare students who are entering the profession. I have used the leadership topics and activities discussed in this chapter in a stand-alone ethics course in a graduate business program, but they could also be integrated into an undergraduate course. I provide details regarding course content and delivery, including a weekly schedule of accounting ethics and leadership readings, short cases, and leadership/ethics case research topics. Many of the leadership and ethics subjects in the course are expected to be addressed in the accounting workplace – exploring these topics helps better prepare students to confront future challenges. Although both practitioners and educators have called for broader education of accounting students in general, and student learning of leadership and interpersonal skills in particular, little progress has been made in this area. This chapter contributes to this area by highlighting the value of integrating leadership topics into an accounting ethics course.
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Amanpreet Singh, Prem Chhetri and Rajiv Padhye
The paper models the effect of spatial clustering on various dimensions of inter-firm competitive rivalry among port logistics firms using Porter's five forces model.
Abstract
Purpose
The paper models the effect of spatial clustering on various dimensions of inter-firm competitive rivalry among port logistics firms using Porter's five forces model.
Design/methodology/approach
A survey-based quantitative approach is adopted to collect data from logistics firms, which are directly or indirectly dependent on the Port of Melbourne in Australia. A structural equation modelling (SEM) technique is used to examine the theorised relationships between various dimensions of inter-firm competitive rivalry and the tendency of spatial clustering of logistics firms in the vicinity of Port of Melbourne.
Findings
The results indicate that the inter-firm competitive rivalry increases significantly when logistics firms are spatially clustered. This effect is further augmented when they cluster around the port. Co-location of firms near the port tends to increase “bargaining power of buyers”, whilst indirectly affecting “competitive rivalry” via “threats of substitutes”. This indicates that co-location enhances the bargaining power of buyers through the greater availability of substitute services that in turn promotes competitive rivalry among firms. However, co-location has an insignificant effect on “barriers to entry” and “bargaining power of suppliers”. Low entry barrier thus favours high competitive rivalry among firms. Hence, this paper validates the Porter's cluster and five forces models that confirm the positive effect of port logistics clusters (PLCs) on bargaining power of buyers and indirect effect on competitive rivalry partially mediated through threats of substitutes.
Practical implications
This study provides empirically grounded evidence for firms to evaluate co-location decision choices and help buyers and sellers to devise business strategies to enhance inter-firm competitive rivalry and bargaining power.
Originality/value
This is the first systematic attempt to empirically validate Porter's five forces model in the context of PLC. Furthermore, the conceptualisation of PLC concept both as spatial and functional constructs (i.e. dependency on port) is novel. This study thus has broadened the meaning of cluster from a geographic entity to a more useful functional construct to reflect inter-firm dependencies.
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Prem Chand, T.A.V. Murthy and K. Prakash
Purpose ‐ Reports on the INFLIBNET sponsored conference on the Promotion of Library Automation and Networking (PLANNER) in North Eastern Region of India…
Abstract
Purpose ‐ Reports on the INFLIBNET sponsored conference on the Promotion of Library Automation and Networking (PLANNER) in North Eastern Region of India. Design/methodology/approach ‐ Provides a brief report of the conference held in November 2004. Findings ‐ Those professionals and participants at this conference were able to update their knowledge and experiences. More than 150 professionals from Manipur and other states in the region and also from neighboring Bangladesh took part. There was also diversity among the authors of the papers with more than half being women. Originality/value ‐ Outlines the main points of a conference of interest to information management professionals.
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Avanish Singh Chauhan, Gaurav Kumar Badhotiya, Gunjan Soni and Prem Kumari
Because of the increased global competition and the need for environment consciousness, organisations have started focusing on incorporating sustainability dimensions into suppler…
Abstract
Purpose
Because of the increased global competition and the need for environment consciousness, organisations have started focusing on incorporating sustainability dimensions into suppler selection criteria. In the past decade, sustainable supplier selection has received much attention from researchers as well as industry practitioners. The purpose of this paper is to identify various sustainable supplier selection criteria (SSSC) and underlying interdependencies among prominent selection criteria to develop a framework for sustainability dimensions.
Design/methodology/approach
The sustainable criteria for supplier selection were established through comprehensive literature review. An interpretive structural modelling (ISM) approach is used to investigate the interrelationships among these criteria.
Findings
A total of 21 SSSC under 3 dimensions (social, environmental and economic) are established. Ten criteria related to quality, capability, flexibility, waste management, pollution prevention, local community, employment practice, labour, etc. are exhibiting strong driving as well as dependence power, as demonstrated through ISM and matriced’ impacts croises-multiplication applique’ and classement (MICMAC) analysis. The findings show that delivery/service, eco design and rights of stakeholders are the “key” criteria having a high-driving and low-dependence power. These criteria require high attention from managers, while other criteria having low-driving and high-dependence power require secondary actions.
Research limitations/implications
The inter-relations for the development of ISM model and MICMAC analysis were obtained through the opinion of industry experts and academicians, which may tend to be subjectively biased. Further exploration is proposed to statistically validate the developed interdependency model.
Practical implications
This paper might act as a reference for the supplier development managers of organisations by providing an appraisal of various SSSC based on their interdependencies.
Originality/value
This study contributes to the knowledge base by proposing a framework of the interrelationships of the SSSC and also provides an additional perspective for managing these criteria based on ISM.
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Manufacturing sector growth continues to be topical in the growth journey of Indian economy. The purpose of this paper is to present the modelling and analysis of the combined…
Abstract
Purpose
Manufacturing sector growth continues to be topical in the growth journey of Indian economy. The purpose of this paper is to present the modelling and analysis of the combined impact of three key driving sub-systems on the Indian manufacturing growth. It has provided relevant insights and recommendations for its sustainable growth.
Design/methodology/approach
The impact of three key driving sub-systems: quality of highway-related infrastructure, manufacturing labour productivity and circular material-consumption in the growth of manufacturing has been studied. A System Dynamics (SD) based model to understand long-term implications of the policy variables on manufacturing growth has been developed. Five scenarios have been simulated for analysis.
Findings
Seven policy variables have been identified which have a significant impact on Indian manufacturing growth. Some relevant insights from the analysis of SD based system-behaviour have been provided which would facilitate the manufacturing growth.
Research limitations/implications
The paper has addressed the dynamics of only three sub-systems in the study of manufacturing growth. The other sub-systems which also have an impact on the manufacturing growth: Good governance, education quality and technology are recommended to be studied through SD based modelling.
Practical implications
Specific recommendations for accelerating the manufacturing growth have been made in the paper which has strong practical implications for growth of Indian economy.
Social implications
Manufacturing sector continues to have a significant impact on the prosperity of India. It facilitates in enhancement of employment and the micro-economic health aspects. Therefore, there is a need to understand the dynamics of the key policy variables affecting manufacturing growth which is very relevant for the society at large.
Originality/value
An application of the SD approach to analyse long-term implication of policy variables of three sub-systems that have a significant impact in manufacturing growth and five specific recommendations to the policy makers is the value-add.