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E-commerce is on a growth phase with many innovations in logistics delivery. New business models are evolving and research interests in this field are growing. New models are required to reduce delivery costs and maintain sharp delivery windows, especially with respect to grocery distribution. The rapidly growing e-commerce industry is expected to reach US$200 billion by 2026, necessitating a robust support in infrastructure including logistics capabilities. Logistics are quickly emerging as the biggest challenge in e-tailing, while simultaneously being the key differentiator considering the stiff competition between domestic and international players.

For e-commerce to function efficiently, it is necessary to have a consistent logistics system that will provide support through warehousing, inventory, delivery, invoicing, handling cash-on-delivery and product-returns. The role of logistics in e-commerce is to reduce the risk that arises from the virtual relations. Additionally, E-commerce logistics needs to reduce the risk in the relationship between the seller and the customer by ensuring that the right product is delivered to the right customer, at the right place and at the right time. Moreover, unlike brick and mortar stores where delivery is immediate, e-commerce firms are still grappling with the challenge of the speed with which the ordered product reaches the customer. Logistics stand to play a key role in overcoming such disadvantages, enabling e-tailers to further grow and expand.

In this context, we invite contributions on the above issues. Possible topics (though not limited to) are:

• Last-mile Logistics
• Sharing Economy in Last-mile Delivery
• Design of Omnichannel Distribution Models
• Urban Distribution Systems
• Logistics 4.0 (IoTs, autonomous vehicles, drones)
• Dynamic Delivery Pricing, Dynamic Delivery Systems, and Crowdshipping
• Efficient and scalable Sortation and Package Handling
• Integration of Public and Freight Transportation
• Manpower Planning and Productivity
• Transportation Scheduling
• Network Topology and Hub Location Planning
• Real-time Planning and Orchestration of Shipments

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Abstract

Mega infrastructure projects, such as High-Speed Rail (HSR), have experienced rapid development in many countries in the world. But how could planners and decision-makers better understand the regional impact of the gigantic system to make rational decision-making for future investment and development remains a challenge. In this presentation, I will discuss the regional impacts of HSR using China as an example. The assessment covers a range of issues, such as land use, real estate, tourism, modal competition, regional economy, and the environment. The objective is to provide lessons learned for transportation planners and decision-makers in India with a holistic perspective to understand the benefits of HSR investment on regional development.

About the Speaker

Dr. Zhenhua Chen is an assistant professor in City and Regional Planning at the Austin E. Knowlton School of Architecture at the Ohio State University. He was also a visiting fellow of the Asian Development Bank. His research interest includes infrastructure planning and policy, risk, and resilience assessment of transportation infrastructure. He has published five books, over 60 academic publications, including some published in leading journals, such as Transportation Research Part A, Part D, Transport Reviews, Journal of Transport Geography, Accident Analysis and Prevention, Environment Research Letters, Risk Analysis, Land Use Policy, Annals of Regional Science, Papers in Regional Science, Computer Environment and Urban Systems, and Economic Systems Research. He has received several awards, such as the Best Dissertation Award of the Regional Science Association International and William Miernyk Research Excellence Medal. His research was funded by various agencies, such as the National Science Foundation, the Lincoln Institute of Land Policy, Ford Motor Company, the Property Casualty Insurers Association of America, and the Ohio Department of Transportation. Before joining OSU, Zhenhua worked as a postdoctoral research associate at the National Center of Risk and Economic Analysis of Terrorism Events (CREATE) at the University of Southern California. He received his Ph.D. in Public Policy from George Mason University.

Book launch webinar “Demystifying Leadership: Unveiling the Mahabharata Code”

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Hosted by the Indian Institute of Management Ahmedabad

Join Professor Asha Kaul and Professor Vishal Gupta as they discuss the leadership lessons derived from the epic Mahabharata in their new book ‘Demystifying Leadership: Unveiling the Mahabharata Code’. Register now to be a part of the conversation!

Speaker

Prof. Asha Kaul is a Professor in the Communication Area at the Indian Institute of Management, Ahmedabad. She obtained her doctorate in stylistics from the Indian Institute of Technology, Kanpur in 1990. She is the author of Effective Business Communication (2000), The Effective Presentation: Talk Your Way to Success (2005), Business Communication (2nd edition, 2009) and is the co-editor of two books: Management Communication: Trends and Strategies (2006) and New Paradigms for Gender Inclusivity (2013).

Her current areas of interest include genderlect, politeness, managerial, corporate and digital communication. Currently she is working on Indian cases to comprehend the intricacies involved in corporate decision making for enhancing reputation.

Prof. Vishal Gupta is an Associate Professor in the Organizational Behaviour area. He has completed Fellow Program in Management from the Indian Institute of Management Lucknow in Human Resource Management and B.E. in Electrical & Electronics Engineering from the Birla Institute of Technology & Science (BITS), Pilani, Rajasthan.

Prior to joining IIMA, he was working as an Assistant Professor in the HRM Group at the Indian Institute of Management Calcutta, India and has also worked as a Hardware Design Engineer with ST Microlectronics Pvt Ltd., Greater Noida and with Infineon Technologies AG, Munich, Germany where he was involved in the design of high-performance Application-Specific Integrated Circuits (ASICs).

Teaching and research interests include: Leadership development, mindfulness, emotional intelligence, social entrepreneurship, public-sector management, organisation development (OD), organisation design, R&D management.

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Agenda and Themes:

• Supply Chain Resilience: A result of Supply Chain Strategy
• The foundations of Supply Chain Strategy
  • The Supply Chain Arcs of Integration, Control and Influence.
• The Temple of Supply Chain Resilience.
  • ESG – Environment, Social Governance.
• An Executive Board debate.
• Resilience Lessons as we move towards a new better.

Biography:

Professor Richard Wilding OBE
BSc, PhD, CEng, Eur Ing, FIET, FCILT, FCIPS, NTF, PFHEA.

As Chair in Supply Chain Strategy at the Centre for Logistics, Procurement and Supply Chain Management, Cranfield School of Management U.K.  Richard works with European and International companies on logistics and supply chain projects in all sectors including pharmaceutical, retail, automotive, high technology, food drink and professional services to name a few.  He was appointed a National Teaching Fellow in 2019 and is recognised by the BBC and DHL as one of “the world’s foremost supply chain experts”. He is a champion for encouraging evidence-based decision making within logistics industry and is an advocate for ensuring knowledge can create action and impact within the organisations he works with.

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Abstract

Fast-growing needs for urban mobility are worsening congestion, energy use, and greenhouse gas emissions. At the same time, the sector is being rapidly transformed by on-demand businesses and new vehicle technologies. Long-term sustainable mobility growth requires developing novel technology, business and policy solutions. This talk focuses on two such specific solutions. First, despite their various benefit, ride-hailing platforms like Uber, Ola and Didi have also been associated with increased road congestion and declining public transit ridership. In the first half of this talk we focus on the following question: Can public transit and ride-hailing co-exist and thrive in a way that enhances the urban transportation ecosystem as a whole? We develop a new mathematical model and a novel computational framework optimizing transit schedules, while explicitly accounting for their impacts on road congestion and passenger mode choice. We demonstrate that, through better alignment of transit services with passengers’ preferences and ride-hailing services, transit agencies can lower costs for passengers, operators and the system as a whole—a rare win-win-win outcome.

Second, electric vertical-takeoff-and-landing (eVTOL) vehicles enable a new form of transportation known as Urban Aerial Mobility (UAM). This second half of the talk focuses on optimizing the number, location and capacity of vertiports in a metropolitan area. We capture interdependencies between strategic vertiport deployment, tactical UAM operations and customer adoption. We develop an original exact algorithm based on adaptive discretization and provide a provable solution quality guarantee. Results indicate that the optimal UAM networks vary widely across metropolitan areas, as a function of geographic, urban and commuting patterns. Vertiport networks grow in a nested fashion, starting with a few “obvious” vertiports and adding vertiports as penetration increases. We uncover two potential use cases for UAM technologies: airport shuttle and long-distance commutes.

About the Speaker

Vikrant Vaze is Stata Family Career Development Associate Professor and the Program Area Lead of Mechanical, Operations and Systems Engineering at Dartmouth College. He is also a Research Affiliate in the Department of Aeronautics and Astronautics at Massachusetts Institute of Technology (MIT). He has an MS in Transportation, another MS in Operations Research and a PhD in Transportation Systems, all from MIT. He has a BTech in Civil Engineering from the Indian Institute of Technology Bombay. He works on solving large-scale transportation problems involving consumer choice modeling, schedule planning, and disruption management using optimization, game theory, and machine learning. He is the recipient of the US National Science Foundation’s Career Award, MIT Presidential Fellowship, President of India Medal, Best PhD Dissertation Award from the Council of University Transportation Centers, and several best paper awards.

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The workshop on “Electric Vehicle: A Primer for Beginners” shall familiarize participants in academia, and from industry with the key concepts and aspects of the EV industry. Also, the workshop shall pose some of the key challenges and opportunities both on the research and commercial fronts in the EV domain.

This is a two-session workshop (each session of 2 hours), and it is advised to attend both the sessions.
Session 1 : June 15, 2021 at 5 – 7 PM IST followed by QA
Session 2 : June 22, 2021 at 5 – 7 PM IST followed by QA

Contents

• Key components of an electric vehicle (EV) and types of EVs
• Overview of related concepts including Li-Ion battery and Battery Management System
• Different types of EV charging (slow, fast, AC/DC)
• EV outlook (current state and projections in Indian and international market)
• Role of domain stakeholders in EV operations (drivers, fleet operators, charge point operators, mobility service providers, energy suppliers, OEMs)
• Electricity distribution network concepts to understand the role of utilities in EV
• EV Financing in India (current state, challenges, opportunities, and examples)
• EV Policy in India (FAME II, Electricity Rates, Subsidies)
• Research/commercial challenges and opportunities in India EV landscape including urban planning, end-user behavior, policy making, and infrastructure planning

About the Speaker

Dr. Arvind Kumar has 20 years of experience in the mobility domain. As a VP-R&D at Optym, an MNC in transportation space, he has helped several companies worldwide in improving the efficiency of their operations using advanced mathematical modeling tools. For over a year, he has been closely involved in the EV domain. He has guided the team at a Bangalore/Toronto-based EV startup, Elocity, in developing solutions in EV space to help chargepoint operators, cities and electric utilities grow with the EV adoption. He also holds a B.Tech in Chemical Engineering from IIT Madras, and a PhD in Industrial Engineering from University of Florida. More about him at Dr. Arvind Kumar.

DMr. Vignesh Nandakumar has 20 years of corporate experience in the roles of lead executive and investor in large firms. Recently, as a Partner with LGT Lightstone Aspada, a global impact fund, he led the environmental sustainability focused investments, into electric vehicles, renewable energy and the shared and circular economy. He has also served as an active Board member of Amp Energy, Vogo Automotive and Lithium Urban Technologies as well as the co-CEO of Lithium Urban Technologies. He has a track record of developing and executing on renewable energy investments of over $750M across India, South Africa and SE Asia with SunEdison and headed the sub-Saharan Africa business. He holds a B.Tech in Electrical Engineering from IIT Madras, and an MBA from ISB Hyderabad. More about him at Mr. Vignesh Nandakumar

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Abstract

With the rapid development and popularization of mobile and communication technologies, dynamic ride-sharing platforms, as pioneers in a sharing economy context, provide on-demand shared mobility services and are disruptively changing the transportation industry. First, we study the coordination of platform demand and supply using prices and wages. We use a queueing model with endogenous supply and demand and present steady-state performance in equilibrium to determine the optimal price and wage that maximize the platform’s profit or social welfare. Second, we discuss the matching problem, in which the platforms match passengers and drivers in real-time considering multiple objectives such as platform revenue, pick-up distance, and service quality. We develop an efficient online matching policy and demonstrate its good performance through numerical experiments and implementation using real data.

About the Speaker

Dr. Wang is an Assistant Professor in the School of Computing and Information Systems at Singapore Management University and a visiting faculty at the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He received B.S. from Tsinghua University and Ph.D. in operations research from MIT. His research focuses on methodologies of analytics and optimization, data-driven decision-making models, machine learning algorithms, and their applications in smart cities and urban systems. He has published in leading journals such as Transportation Science, American Economic Review P&P, M&SOM, and Transportation Research Part B. He serves as the guest editor for the Special Issue on Innovative Shared Transportation in Transportation Research Part B and Special Issue on Innovation in Transportation-Enabled Urban Services in Service Science, as a reviewer for over 40 academic journals. Dr. Wang was selected as Chan&Yun Rising Star Fellow in transportation and mobility, was nominated for the Goodwin Medal, MIT’s top teaching award for graduate students, and won the Excellent Teaching award for junior faculty at SMU. During his Ph.D. studies at MIT, he also served as the co-President of the MIT Chinese Students & Scholars Association and as Chair of the MIT-China Innovation and Entrepreneurship Forum.

Virtual Healthcare Research Seminar Series 2020-21

For reference please see https://www.iimacmhs.in/home