Guest Lecture on World Class Operations
by Prof. Chandra Lalwani
Professor Chandra Lalwani, an Emeritus Professor at the University of Hull, hailing from Kota, Rajasthan, having vast experience of more than 40 years of teaching in some of the best business schools in UK. Prior to joining the University of Hull he was with Cardiff Business School at Cardiff University and was responsible for doctoral research in logistics, operations and supply chain management. Prof. Lalwani’s current teaching interests are in supply chain management, retail logistics, logistics and transport modeling, discrete event simulation, and electronic commerce impact on supply chain logistics. He has also successfully supervised a large number of Masters and PhD candidates, and is currently supervising a number of PhD students. Prof. Lalwani was a Director of Executive Programs in Maritime Studies and International Transport at Cardiff University. During this period he directed some highly successful programs in port management and operations, maritime transport and containerization in Hong Kong, India, and the UK. He is the member of the EPSRC funded Cardiff University Innovative Manufacturing Research Centre steering and advisory group.
Being a senior faculty in the field of Operations, Prof. Lalwani spoke on the topics like Operations Management Drivers – explaining how the scope of Operations management have changed from cost to TQM to Services which eventually led to Dream Fulfillment in the current decade. He took us through the concepts like Economy of Scope, Factory Gate Pricing, Vendor Managed Inventory, etc…
Prof. Lalwani took up real time examples like that of TESCO, and ZARA, using which he explained us that why these organizations were able to reach to the pinnacle and how they have designed their supply chain systems and converted their suppliers and distributors into Partners. He concluded the class by giving us the five different supply chain configurations along with a tool called QUICK SCAN – a systematic diagnostic tool used to detect the bottle necks in the system.