Skip to main content

Research Repository

Advanced Search

All Outputs (6)

Knowledge management for food supply chain synergies–a maturity level analysis of SME companies (2019)
Journal Article
Batista, L., Dora, M., Toth, J., Molnár, A., Malekpoor, H., & Kumari, S. (2019). Knowledge management for food supply chain synergies–a maturity level analysis of SME companies. Production planning & control, 30(10-12), 995-1004. https://doi.org/10.1080/09537287.2019.1582104

Despite the considerable number of papers addressing knowledge management (KM) aspects in supply chains, many research issues in the area are still neglected. One of the main research gaps in this field concerns the maturity level of KM practices ado... Read More about Knowledge management for food supply chain synergies–a maturity level analysis of SME companies.

Big data cloud computing framework for low carbon supplier selection in the beef supply chain (2018)
Journal Article
Singh, A., Kumari, S., Malekpoor, H., & Mishra, N. (2018). Big data cloud computing framework for low carbon supplier selection in the beef supply chain. Journal of cleaner production, 202, 139-149. https://doi.org/10.1016/j.jclepro.2018.07.236

Purpose – With the rapid economic development of nations across the globe, there is proportionate increment in corresponding carbon footprint. There are numerous counter measures proposed to mitigate it in terms of legislation and policy framing. How... Read More about Big data cloud computing framework for low carbon supplier selection in the beef supply chain.

A novel TOPSIS–CBR goal programming approach to sustainable healthcare treatment (2018)
Journal Article
Malekpoor, H., Mishra, N., & Kumar, S. (2018). A novel TOPSIS–CBR goal programming approach to sustainable healthcare treatment. Annals of Operations Research, https://doi.org/10.1007/s10479-018-2992-y

© 2018, The Author(s). Cancer is one of the most common diseases worldwide and its treatment is a complex and time-consuming process. Specifically, prostate cancer as the most common cancer among male population has received the attentions of many re... Read More about A novel TOPSIS–CBR goal programming approach to sustainable healthcare treatment.

A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp (2018)
Journal Article
Malekpoor, H., Chalvatzis, K., Mishra, N., & Ramudhin, A. (2018). A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp. Annals of Operations Research, 1-27. https://doi.org/10.1007/s10479-018-2877-0

© 2018 The Author(s) In this paper, we provide a model which optimizes the allocation of electricity generation systems, in terms of their number and location, in a disaster relief camp. The objectives that this model takes into account are minimizat... Read More about A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp.

Sustainable resource allocation for power generation: The role of big data in enabling interindustry architectural innovation (2018)
Journal Article
Chalvatzis, K. J., Malekpoor, H., Mishra, N., Lettice, F., & Choudhary, S. (2019). Sustainable resource allocation for power generation: The role of big data in enabling interindustry architectural innovation. Technological Forecasting and Social Change, 144, 381-393. https://doi.org/10.1016/j.techfore.2018.04.031

Economic, social and environmental requirements make planning for a sustainable electricity generation mix a demanding endeavour. Technological innovation offers a range of renewable generation and energy management options which require fine tuning... Read More about Sustainable resource allocation for power generation: The role of big data in enabling interindustry architectural innovation.

An efficient approach to radiotherapy dose planning problem: a TOPSIS case-based reasoning approach (2016)
Journal Article
Malekpoor, H., Mishra, N., Sumalya, S., & Kumari, S. (2017). An efficient approach to radiotherapy dose planning problem: a TOPSIS case-based reasoning approach. International Journal of Systems Science: Operations and Logistics, 4(1), 4-12. https://doi.org/10.1080/23302674.2015.1135354

© 2016, © 2016 Informa UK Limited, trading as Taylor & Francis Group. Dose planning of prostate cancer is a complex and time-consuming process. Usually, oncologists use past experience and spend a large amount of time to determine the optimal combi... Read More about An efficient approach to radiotherapy dose planning problem: a TOPSIS case-based reasoning approach.