Dr Manish Shukla
B.Tech, Fellow IIMK (Equivalent to PhD)
Manish is a lecturer in Operations Management. He will be teaching courses in Operations Management and Supply Chain Management. His research explores the social, environmental and economical issues in Agricultural Value Chains.
Dr. Manish Shukla is a Lecturer in Operations Management at Durham University Business School (DUBS). Prior to his current role, Dr. Shukla worked with Malaysia Institute for Supply Chain Innovation (MISI), which is the fourth center in the MIT Global SCALE (Supply Chain and Logistics Excellence) Network. Manish was a Fulbright Fellow at SC Johnson Graduate School of Management, Cornell University.
Dr. Shukla has worked on diverse areas of Operations Management and Supply Chain Management. His research interest includes multidisciplinary issues such as social, environmental and economical in Agricultural Value Chains. He aims to explore the problems from logistics, information, finance, and policy constraints. He is currently working on problems related to Agri/Food Value Chains, SME-Supply Chain Finance, Sustainable Supply Chains, and Supply Chain Analytics & Big Data.
Dr. Shukla has a very successful track record of working with large International organizations, Government bodies, SMEs and other Organizations for key projects. He has lead a number of Agricultural Value Chain projects as Principle/ Co-Principle Investigator, where he was able to successfully engage with external stakeholder such as agribusiness organizations, government officials, banks, SMEs, etc. He was able to get several organizations interested in his research and to provide funding such as P&G, Starbuck, SWIFT Research Institute, CII/ USAID, etc. He along with his team has established a Center of Excellence for Perishable Value Chains at MISI. He was also able to form the alliance between MISI and World Association of Small and Medium Enterprises (WASME) for research and training.
He has published paper in prestigious international journals such as International Journal of Production Research (IJPR), International Journal of Operations & Production Management (IJOPM), Journal of Decision Systems (JDS), etc. He has presented his work in several International Conferences. Dr. Shukla’s research has been recognized and awarded by a number of reputed international organizations such as Fulbright Fellowship, “Tejeshwar Singh Memorial Fellowship” by SAGE Publications, Highly Commended for the Emerald/AIMA Indian Management Research Fund Award by Emerald Publications. He received the Emerging Economies Doctoral Student Award from the Production and Operations Management Society, USA. He also got awarded a scholarship from International Federation of Operations Research Societies (IFORS). His paper have received “Best paper” award in a conference.
He has received his Doctoral Degree in Management from Indian Institute of Management Kozhikode, India. His doctoral research addressed the issue of waste across the Fresh-Produce Supply Chains. He is currently working to extend his doctoral research to develop a “Food Grid” for India. He has received his Bachelors in Technology degree in Manufacturing Engineering from National Institute of Foundry and Forge Technology, Ranchi, India.
- Agri/Food Value Chains
- Sustainable Supply Chains
- Boehmer, Julius H., Shukla, Manish, Kapletia, Dharm & Tiwari, Manoj Kumar (2020). The impact of the Internet of Things (IoT) on Servitization: An exploration of changing supply relationships.. Production Planning & Control 31(2-3): 203-219.
- Shukla, M., Pal, K. & Tiwari, M. K. (2019). A Framework for Understanding Institutional Factors Affecting the Success and Failure of Offshoring Models in India. International Journal of Production Research
- Shukla, Manish & Mattar, Lana (2019). Next Generation Smart Sustainable Auditing Systems using Big Data Analytics: Understanding the interaction of critical barriers. Computers & Industrial Engineering 128: 1015-1026.
- Schilkowski, C, Shukla, M & Choudhary, S (2019). "Quantifying The Circularity of Regional Industrial Waste Across Multi-Channel Enterprises". Annals of Operations Research
- Shukla, Manish, Todorov, Ivan & Kapletia, Dharm (2018). Application of additive manufacturing for mass customisation: understanding the interaction of critical barriers.. Production Planning & Control 29(10): 814-825.
- Shukla, M. & Tiwari, M.K. (2017). Big-Data Analytics Framework For Incorporating Smallholders In Sustainable Palm Oil Production.. Production Planning and Control 28(16): 1365-1377.
- Shukla, M. & Jharkharia, S. (2014). Harvest scheduling to reduce waste in agri-fresh produce supply chains: An Artificial Immune System-based solution approach. International Journal of Planning and Scheduling 2(1): 14.
- Shukla, M. & Jharkharia, S. (2014). An Inventory Model for Continuously Deteriorating Agri-Fresh Produce: An Artificial Immune System Based Solution Approach. International Journal of Integrated Supply Management 9(1/2): 110-135.
- Shukla, M. & Jharkharia, S. (2013). Applicability of ARIMA Models in Wholesale Vegetable Market: An Investigation. International Journal of Information Systems and Supply Chain Management 6(3): 105-119.
- Shukla, M. & Jharkharia, S. (2013). Agri-Fresh Produce Supply Chain Management: A State-of-the-art Literatire Review. International Journal of Operations and Production Management 33: 114-158.
- Shukla, M. & Jharkharia, S. (2013). Artificial Immune System-based algorithm for vehicle routing problem with time window constraint for the delivery of agri-fresh produce. Journal of Decision Systems 22(3): 224-247.
- Shukla, M., Chan, F.T.S., Tiwari, M.K., Shankar, R. & Choy, K.L. (2011). B2B multi-attribute e-procurement: an artificial immune system based goal programming approach. International Journal of Production Research 49(2): 321-341.
- Shukla, M. & Jharkharia, S. (2011). ARIMA Models to Forecast Demand in Fresh Supply Chains. International Journal of Operational Research 11(1): 1-18.
- Shukla, M., Shukla, N., Tiwari, M.K. & Chan, F.T.S. (2009). Integrated model for the batch sequencing problem in a multi-stage supply chain: an artificial immune system based approach. International Journal of Production Research 47(4): 1015-1037.