Qualification: 
Ph.D, M.Tech, BE
t_srinivas@blr.amrita.edu

Dr. T. Srinivas Rao received his B. E. from College of Engineering, Sewagram, Wardha and M. Tech. in Industrial Engineering from Visvesraya National Institute of Technology, Nagpur (Formerly REC) in 1988 and 1997. He obtained his Ph. D. from Visvesvaraya Technological University, Belgaum for his thesis titled ”Design of Aggregate Material Planning in a Supply Chain Network". Currently, he is guiding one student in the area of Reverse Logistics. He has also served in various Mechanical industries from the period 1988 to 1994. At present, he is working as an Associate Professor in the Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru.

Qualification

  • Ph.D. in Supply Chain Management
    Visvesvaraya Technological University, Belagavi
  • M. E. in Industrial Engineering
    Visvesvaraya National Institute of Technology, Nagpur (Formerly REC)
  • B. E. in Production Engineering
    Nagpur University

Professional Appointments

Year Affiliation
2007- Till Date Amrita School of Engineering, Bangalore as Associate Professor, Department of Mechanical Engineering
1997-2007 M.V.J. College of Engineering, Bangalore as Assistant Professor, Department of Industrial Engineering & Management
1993-1994 M/s Bajaj Dhatu Udyog as Asst Engineer Materials
1992-1993  M/s Greaves Cotton & Co Aurangabad as Asst Engineer Purchase
1989-1992 M/s Neco Valves & Pumps Nagpur as Engineer Materials.
1988-1989 M/s Hope Industries Pvt Ltd Nagpur as Production Supervisor.

Research & Management Experience

  • Guiding 5 students in the area of Lean Manufacturing, Data Analytics, Disaster Supply Chain

Major Research Interests

  • Supply Chain Management, Reverse Logistics, Optimization

Membership in Professional Bodies

  • Life Member ORSI, ISTE

Publications

Publication Type: Journal Article

Year of Publication Title

2020

U. K. Annigeri, Dr. T. Srinivas Rao, and Kumar, G. B. Veeresh, “Sequel of B4C reinforcement treatment in Al6061 on fatigue, damping, chip formation behaviour and shock wave interaction – A proposition”, Materials Today: Proceedings, 2020.[Abstract]


An overpowering structural consideration in fatigue is the fact that fatigue cracks usually are initiated at a free surface. Fatigue strength is seriously reduced by the introduction of a stress raiser such as notch, hole, fillet, keyway, screw thread, press fits. The fatigue strength is also affected by surface roughness, porosity, inclusions, local overheating. In the present study, the addition of particulate reinforcement (B4C) in Al6061 alloy and its effect on surface roughness while turning on a computer numerical controlled machine is analysed. It is concluded that with higher particulate reinforcement which exhibits better finish, the fatigue life improves. This is in reference to contemporary and previous researchers on the same machinability phenomenon. The reasoning behind this property alteration is the particulate (B4C) acts as a constraint to the plastic flow of material while machining and making an improvement over monolithic Al6061 alloy. The slip line damping improves with higher percentage of reinforcement since the finish has improved. The type of chip produced during machining has also been observed and analysed during the study. It is observed from the study that higher density of Al6061- 4% B4C has a better shock wave resistance to mass ejection of material

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2020

Dr. T. Srinivas Rao, “A simulated annealing approach to solve a multi traveling salesman problem in a FMCG company”, Materials Today: Proceedings, 2020.[Abstract]


FMCG Companies are fast spreading across the globe and there is a huge need for efficient delivery of goods to the consumers. In the normal context the regular vehicle routing problem was defined for various cities but within a city there is a need for multiple vehicular movements with different warehouse hubs to facilitate the delivery of goods. Often such problems are defined as hub and spoke mechanism. The hub may be defined as the central resource station from which the various goods will originate and spoke represents the various destination to reach out the customers. In this paper we have used simulated annealing approach to design a Multi traveling sales man problem.

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2020

Dr. T. Srinivas Rao, Kumar, G. B. Veeresh, and Ulhas K. Annigeri, “Fabrication and Investigation of Mechanical and Dry Sliding Wear Characteristics”, ASTM , vol. 9, 2020.

2019

Ulhas K. Annigeri, ,, and Dr. T. Srinivas Rao, “Manufacturing Feasibility of Al6061and Boron Carbide Particulate Reinforcement to Cast a Metal Matrix Composite with Wettability Agent”, International Journal of Innovative Technology and Exploring Engineering, 2019.

2018

Dr. T. Srinivas Rao and Prakash Marimuthu K., “An Ant Colony Approach To Solve A Vehicle Routing Problem In A FMCG Company”, International Journal of Mechanical and Production Engineering Research and Development(IJMPERD), vol. 8, no. 1, pp. 1113-1118, 2018.

2018

Dr. T. Srinivas Rao, ,, and K, P. Marimuthu, “A Simulated Annealing and Nearest Neighbor Approach To Solve A Vehicle Routing Problem In A FMCG Company”, International Journal of Mechanical and Production Engineering Research and Development(IJMPERD), vol. 8, no. 2, pp. 349-354, 2018.

2017

A. Tatavarthy, Dr. T. Srinivas Rao, and Prakash Marimuthu K., “A Simulated Annealing Approach to Solve a Vehicle Routing Problem in a FMCG Company”, International Journal of Mechanical and Production Engineering Research and Development, vol. 8, no. 11, pp. 958–963, 2017.[Abstract]


Recently, there are certain category of supply chains which are fast emerging such as online groceries, fast moving goods which are low in cost and fast moving. The logistics cost of these supply chains is very important and they need to be delivered in the shortest possible time. All these problems are categorized into a vehicle routing problem. In certain problem, additional constraints such as time slots are also introduced so as to deliver the goods in particular time. Thus, it becomes very important to make the vehicle scheduling efficient. It becomes Non Polynomial when there is more than one vehicle in the delivery system. A vehicle routing problem is defined as a system of a vehicle covering a geographically dispersed routes which are covered in the shortest possible time. The vehicle should not visit any of the routes twice. In this paper, we have used simulated annealing and nearest neighborhood algorithms to compare and solve a designated set of routes in which a FMCG company delivers the goods to its customer.

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2017

Dr. T. Srinivas Rao, “A performance evaluation of ACO and SA TSP in a supply chain network”, AIP Conference Proceedings, vol. 1859, p. 020098, 2017.

2010

Dr. T. Srinivas Rao, K. Babu, M., and N.V.R., N., “An extensive analysis of optimal suppliers with better purchasing period for customers in web based material demand aggregation”, IJCEE( International Journal for Computer Science Engineering & Electrical Engineering, vol. 2, no. 1, pp. 1793-8163 , 2010.[Abstract]


In today’s modern trading world, web based material demand aggregation has emerged as a significant and lively research front in the supply chain management. In common, the Demand Aggregation technique synchronizes and unites the requirements of the buyers with the active participation of a web based agent to offer a lucid depiction of purchasing requests throughout the enterprise. The objective of utilizing material demand aggregation is to offer services to all the buyers (manufacturers) in a cost effective manner. The web based agent is responsible for fulfilling this ultimate goal of web based material demand aggregation. It discovers the optimal suppliers who can supply the raw materials in a cost effective manner as manufacturers may require raw materials in different quantities and different suppliers are likely to offer materials at different slab rates. Moreover, the dilemma of web based agent increases as each manufacturer may require the raw materials at different instants of time. If the web based agent works only with the intention of enjoying more slab rates, it drives all the manufacturers to purchase at a single instant of time, on account of which some of the manufacturers will be affected because of high inventory costs incurred. Equally, if the manufacturers are suggested to purchase the materials just in time to avoid the inventory costs, they will miss the offer of slab rates leading to high purchasing cost. Thereby, we propose an analytical model which will pin down the optimal period of purchasing for all the manufacturers so that they can avoid the high inventory cost incurred and can also enjoy a good slab rate. With the aid of the proposed analytical model designed to achieve optimal purchasing period, the web based agent can guide all the manufacturers to purchase the required raw materials in a cost effective manner. More »»

2009

Dr. T. Srinivas Rao, Naidu, N. V. R., and K. Babu, M., “A Novel and Efficient Approach for Material Demand Aggregation using Genetic Algorithm”, IJCSNS (International Journal of Computer Science and Network Security), vol. 9, pp. 203 – 212 , 2009.

Publication Type: Conference Proceedings

Year of Publication Title

2019

Divya Sharma S.G. and Dr. T. Srinivas Rao, “Development of optimized solution for a generic disaster management problem through construction of responsive supply chain a review”, International conference on Advances in Mechanical Engineering and Nanotechnology (ICAMEN 2019). Manipal Institute of Technology, Jaipur, 2019.[Abstract]


Brief regional study of various geographical location reveals that the percentage of disasters have drastically increased which has led to the severe suffering of Human life residing in and around the disaster affected zone. The severity of the disaster sometimes make the relief operation a tedious task and also increases the response time for the operation which can worsen the human suffering in the disaster affected zone, which is why it becomes essential to make a strategic plan for providing relief operation so that the victims are treated with required amenities, medical aid social support to motivate them in the bad time. Disaster relief operation is a social responsibility of the human kind which involves meticulous planning and dynamic responsive system. In this paper an attempt is made to analyze a suitable model for the disaster relief system which can be used as an effective program to aid the victims of the disaster affected zone with minimum response time. The requirement of the well functional mathematical problem is analysed. Emphasis on the requirement of the vehicle routing and transportation problem is carried out to understand the different situation of the disaster and handle it with a suitable solution. The paper overall attempts to carry out a proper survey to develop a proper solution to handle the crisis.

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2019

P. K. Marimuthu and Dr. T. Srinivas Rao, “An Ant colony and nearest neighbourhood approach to solve an excess capacity vehicle routing problem in a FMCG Company”, International conference on Advances in Mechanical Engineering and Nanotechnology (ICAMEN 2019). Manipal Institute of Technology, Jaipur , 2019.

2018

Dr. T. Srinivas Rao, “An Evaluation of ACO and GA TSP in a Supply Chain Network”, Materials Today Proceedings, vol. 5. 2018.

2018

Dr. T. Srinivas Rao, “A Performance Evaluation of GA Algorithm to Solve a VRP Problem with Excess loads for a FMCG Company”, International conference on Emerging Trends in Mechanical Engineering, vol. 2080. American Institute of Physics Inc., St Joseph College of Engineering/Mangalore, 2018.[Abstract]


A FMCG company is a fast-moving consumer goods which are fast spreading in today's society. The challenges faced in delivering the goods to the customer is very complicated, as the customer wants the goods in shortest possible time with minimum cost. Another challenge faced by the companies is that the normal load exceeds due to sudden increase in the demand of the customers. The problem here addressed is dual in which there will be two tsp' one for the normal loads and the other for the small loads. Normal loads cover the entire tour length of the destinations covering all the customers, however the smaller loads cover only select destinations were the demand is larger. In our paper we have used GA algorithm and nearest neighbor algorithms to ascertain the validity of the GA algorithm.

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Publication Type: Conference Paper

Year of Publication Title

2018

Dr. T. Srinivas Rao, “An Ant Colony TSP to Evaluate the Performance of Supply Chain Network”, in International Conference on Materials Manufacturing and Modelling (ICMMM - 2017), VIT, Vellore, TN, 2018, vol. 5, pp. 13177-13180.[Abstract]


The active research areas for a supply chain management are the internet based product demand bundling. With the application of a ecommerce-agent aggregates and combines the requirements based to give a clear data of supplier requirements from the manufacturers. The analysis of product demand bundling is to offer the entire manufacturers vehicle routing cost in a cost-effective manner. Once the internet based agent identifies the raw product suppliers the next step is to devise a shortest route thru which the product is dispatched to all the manufacturers. In this paper, we design an ant colony optimization approach to solve the shortest route and compare the solution with nearest neighbour solution.

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2017

Dr. T. Srinivas Rao, “A Comparative Evaluation of GA and SA TSP in a Supply Chain Network”, in Materials Today: Proceedings, 2017, vol. 4, pp. 2263-2268.[Abstract]


One of the supply chain management active research areas is the Ecommerce-based material demand clustering. Demand clustering technique aggregates and combines the requirements with the application of a ecommerce-agent based to give a clear data of supplier requirements from the manufacturers. The analysis of material demand clustering is to offer all the manufacturers vehicle routing cost in a cost effective manner. Once the Ecommerce based agent identifies the raw material suppliers the next step is to devise a shortest route thru which the material is dispatched to all the manufacturers. In this paper we design a genetic approach to solve the shortest route and compare the solution with nearest neighbor solution and simulated annealing technique. © 2017 Elsevier Ltd.

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2015

Dr. T. Srinivas Rao and Gopi, S., “Solving a Reverse Supply Chain TSP by Genetic Algorithm”, in ICMME 2015 conference organized by SCSVM university Kanchipuram , 2015.[Abstract]


Stringent legislative, social concerns & clean carbon emissions are constraining companies to take a fresh look at the impact of supply chain operations on environment, society and individuals when designing reverse supply chain networks. A challenging task in today’s globalised environment where companies mandatorily have to collect back goods after its reliable life is making companies integrate supply chain decisions objective here is to minimize transportation cost and distance. In this paper problem of designing a TSP (Travelling Sales man problem) is addressed which is one of the NP-hard problem in combinatorial optimization. Computational experiments conducted with GA (Genetic algorithm) on large and small size TSP cases where compared with NNA (Nearest neighboring algorithm) and have proved that the GA provides optimal tour every time in reasonable time by outperforming the NNA solution when number of cities are increased.

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2010

Dr. T. Srinivas Rao, R., N. N. V., and Mallikharjuna, B., “Design of Web Based Aggregation of Materials in a supply chain network using genetic Algorithm”, in 29 th International Conference on Statistics, Probability, Operations research organized by ISPS( Indian Society for Probability & Statistics ), Andhra University, Vishakhapatnam, 2010.

2008

Dr. T. Srinivas Rao, R., N. N. V., and Mallikharjuna, B., “Design of Web Based Aggregation of Materials in a supply chain network”, in International Conference on Operations research for Growing Nation &41st Annual Convention of Operational Research Society of India, 2008.

2007

N. N.V.R., Dr. T. Srinivas Rao, and Mallikharjuna, B., “Multi Attribute Combinatorial Algorithms To Aggregate Raw Materials In A Supply Chain Network ”, in 26th Convention of International Conference of Indian Society for Statistics & Probability , Organized by Dravidian University, Held at Tirupati , 2007.

Courses Taught

  • Operations Management
  • Operations Research
  • Simulation
  • Project Management
  • Industrial Engineering
  • Engineering Management
  • Financial Management
  • Financial Engineering
  • Design of Experiments
  • Research Methodology
  • Logistics and Supply Chain Management
  • Measurements & Metrology

Student Guidance

Undergraduate Students

Sl. No. Name of the Student(s) Topic Status Year of Completion
01 J. Raghu Ram K.S.R.R. Rohit Travelling Salesman Problem by Simulated Annealing Optimisation Completed 2020
02
Ajmeri Dhruv C.
 Dollu Sudharshan
 Gedela Teja S.
   Rohit Madan
   
   
   
Ant Colony Optimizaton To The Travelling Salesman Problem Completed 2020
03
Bharadwaj Vs
R Vigneshwar Raj
Rishab Saranathan Aditya Anil
Covid -19 Patient System Ongoing 2021
04 K. Achyutha Rama   Varma Upstream Analysis on Production Profile of Iraq Completed 2016
05   D. Sivanand Design and Development of an LVDT Multi- Gauging Measurement System   Completed 2017
05 Saagar Anand Design and Optimization of Storage Solutions for Fabrication Warehouse Completed 2012
06 Nair Vipinkumar Vijay Kumar Rohit C Menon Process Modification for Manufacturing of Drive Shaft used in Distributor Fuel Injection Pump Completed 2011

Research Scholars

Sl. No. Name of the Student(s) Topic Status Year of Completion
01 Ulhas K. Annigere Composites Ongoing  
02 Divya Sharma Supply Chain Management Ongoing  
03 C P Janarthanam Data Analytics Ongoing  
04 Prakash V. Dhopte Lean Manufacturing Ongoing