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result(s) for
"Michael, Lidwin Kenneth"
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Factors influencing adoption of electric vehicles - A case in India
by
K V, Sriram
,
Michael, Lidwin Kenneth
,
Fernandes, Mabelle
in
adoption
,
charging infrastructure
,
Consumers
2022
The ever-growing environmental concerns caused due to fossil fuel depletion and greenhouse gas (GHG) emissions has paved way for consumers to consider Electric Vehicles (EV) as a rapidly emerging operational alternative to vehicles that run on fossil fuels like petrol, diesel and CNG. The paper aims to identify the possible factors in consumers' intention of Electric Vehicle adoption. A quantitative approach is adopted and the data is collected from 172 respondents from Bengaluru through an online survey method using snowball sampling method. A robust statistical method, such as exploratory factor analysis is conducted using IBM SPSS 23 to identify the factors. The study identified factors such as Financial Barriers, Vehicle Performance Barriers, Lack of charging infrastructure, Environmental Conservation, Societal Influence, Social Awareness of Electric Vehicles as influencers towards electric vehicle adoption. The outcome of the study helps the policymakers to modify the current policy with respect to electric vehicle in the emerging nations.
Journal Article
Factors influencing the behavior in recycling of e-waste using integrated TPB and NAM model
by
Michael, Lidwin Kenneth
,
V, Sriram K
,
Hungund, Sumukh S
in
awareness
,
Cognitive Psychology; Environmental Psychology; Testing, Measurement and Assessment; Social Psychology; Psychological Science
,
Data integrity
2024
The rapid advancement of technology across multiple sectors including education, the workplace, manufacturing, and household appliances, has resulted in a notable increase in the prevalence of electronic gadgets. Therefore, these devices, also known as e-waste, are discarded once they have reached the end of their useful life. The focus of the study is to identify and examine the factors that influence students’ intentions toward the disposal of e-waste. The study adopts a quantitative approach with a cross-section study design to collect data from 415 participants selected through a purposive sampling method. The data was collected through an online survey. The study found that factors such as Environmental Knowledge, Public Awareness, Publicity, Convenience, Infrastructure, Willingness to Pay (WTP), Data security, and Personal norms positively influence students’ intentions toward e-waste disposal behavior. This paper delineates the fundamental characteristics of e-waste management strategies that prioritize customer needs and presents a comprehensive framework for India. Policymakers must prioritize increasing customers’ willingness to pay (WTP), offering support in advertising efforts, and ensuring robust data protection. Additionally, supporting education on environmental awareness is of utmost importance.
Journal Article
Optimization of Inbound Logistics by Implementing E-Kanban System in an Automobile Accessories Manufacturing Unit – A Case Study
by
Rao, Koteshwara G
,
Michael, Lidwin Kenneth
,
Sriram, K V
in
Accessories
,
Case studies
,
Efficiency
2019
Electronic Kanban (E-Kanban) is a recent trend in project management. With the integration of Information Technology (IT) in supply chain management the concept of E-Kanban has made its entry into manufacturing units. It is an effective optimization process that utilizes Information technology in manufacturing industries to procure the material at the shop floor and stores respectively. E-Kanban is executed through a system of signalling that triggers the replenishment of materials when required. This project is an application of E-Kanban in a multinational automobile accessories manufacturing company located India. In this project, manual process has been replaced by barcode scanning which is integrated with SAP and Automatic Logistic and Production Execution (ALPE) scanner and is used to scan the Kanban cards on the shop floor. Logistics performance is examined before and after the implementation of the E-Kanban system. This process is evaluated through internal milk run, value stream mapping and by individual observation. This project is aimed at improving the existing process to reduce the time for issue and delivery of the material, inventory and human resource allocation which contributes to increase in the production, quality of the product and revenue of the company. This project can be applied across manufacturing industries globally.
Journal Article
Optimisation of Milk Run Logistics for an Automotive Component Manufacturer – A Case Study
by
Kumar, Pranava S
,
Michael, Lidwin Kenneth
,
Sriram, K V
in
Advanced manufacturing technologies
,
Assembly lines
,
Automobile industry
2019
Manufacturing firms in India prefer the Milk Run concept in logistics to procure raw materials and other parts for their production and assembly lines. This study conducted in a German automotive component manufacturer in India proves that through milk run logistics parts procurement can be controlled. A milk run logistics system comprises of round trips through which either the goods collected from several suppliers are transported to an individual customer or the goods collected from a distinct supplier are delivered to a diverse group of customers. Through participant observation and value stream mapping, an attempt is made to map, assess and evaluate the present routes of milk run trucks. The study also attempts to identify probable opportunities for re-routing in such a manner to minimise the procurement cost of the raw materials. Hence the number of trucks used for transportation of goods can be reduced which in turn would reduce the operating cost by saving fuel and time. This study contributes to increasing the company's profit margin by reducing the production cost.
Journal Article