All Outputs (14)

Sustainable stochastic production and procurement problem for resilient supply chain (2018)
Journal Article
Kaur, H., Singh, S. P., Garza-Reyes, J. A., & Mishra, N. (2020). Sustainable stochastic production and procurement problem for resilient supply chain. Computers and Industrial Engineering, 139, Article 105560. https://doi.org/10.1016/j.cie.2018.12.007

© 2018 Elsevier Ltd Traditionally business organizations take production and procurement decisions independently. First, the decision is made on product mix and then procurement plan is developed. However, procurement for all the dependent items is c... Read More about Sustainable stochastic production and procurement problem for resilient supply chain.

Lean, green practices and process innovation: A model for green supply chain performance (2018)
Journal Article
Cherrafi, A., Garza-Reyes, J. A., Kumar, V., Mishra, N., Ghobadian, A., & Elfezazi, S. (2018). Lean, green practices and process innovation: A model for green supply chain performance. International journal of production economics, 206, 79-92. https://doi.org/10.1016/j.ijpe.2018.09.031

This paper investigates the relationship between lean, green and process innovation practices and green supply chain (GSC) performance. Data were collected from 374 manufacturing firms and results analyzed using Structural Equation Modeling (SEM). Th... Read More about Lean, green practices and process innovation: A model for green supply chain performance.

Decision modeling of risks in pharmaceutical supply chains (2018)
Journal Article
Moktadir, M. A., Ali, S. M., Mangla, S. K., Sharmy, T. A., Luthra, S., Mishra, N., & Garza-Reyes, J. A. (2018). Decision modeling of risks in pharmaceutical supply chains. Industrial management + data systems, 118(7), 1388-1412. https://doi.org/10.1108/IMDS-10-2017-0465

© 2018, Emerald Publishing Limited. Purpose: Managing risks is becoming a highly focused activity in the health service sector. In particular, due to the complex nature of processes in the pharmaceutical industry, several risks have been associated t... Read More about Decision modeling of risks in pharmaceutical supply chains.

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.

Pre-positioning inventory and service outsourcing of relief material supply chain (2018)
Journal Article
Yao, X., Huang, R., Song, M., & Mishra, N. (2018). Pre-positioning inventory and service outsourcing of relief material supply chain. International Journal of Production Research, 56(21), 6859-6871. https://doi.org/10.1080/00207543.2018.1495853

Service outsourcing is very common in a commercial supply chain, and in humanitarian relief area the transportation service is usually outsourced. To practice relief supply more effectively, it seems essential to enlarge outsourcing from shipping to... Read More about Pre-positioning inventory and service outsourcing of relief material supply chain.

Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets (2018)
Journal Article
Vafadarnikjoo, A., Mishra, N., Govindan, K., & Chalvatzis, K. (2018). Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets. Journal of cleaner production, 196, 230-244. https://doi.org/10.1016/j.jclepro.2018.06.037

Environmental issues have been worldwide matters of concern especially in the recent decade and have made many firms implement end-of-life strategies such as remanufacturing. In prior studies, the supply side of remanufacturing supply chain has been... Read More about Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets.

A genetic column generation algorithm for sustainable spare part delivery: Application to the Sydney DropPoint Network (2018)
Journal Article
Dunbar, M., Belieres, S., Shukla, N., Amirghasemi, M., Perez, P., & Mishra, N. (2018). A genetic column generation algorithm for sustainable spare part delivery: Application to the Sydney DropPoint Network. Annals of Operations Research, 1-19. https://doi.org/10.1007/s10479-018-2911-2

Modern-day logistics companies require increasingly shorter lead-times in order to cater for the increasing popularity of on-demand services. There is consequently an urgent need for fast scheduling algorithms to provide high quality, real-time imple... Read More about A genetic column generation algorithm for sustainable spare part delivery: Application to the Sydney DropPoint Network.

Technology upgrading through co-creation of value in developing societies: Analysis of the mobile telephone industry in Bangladesh (2018)
Journal Article
Dey, B. L., Babu, M. M., Rahman, M., Dora, M., & Mishra, N. (2019). Technology upgrading through co-creation of value in developing societies: Analysis of the mobile telephone industry in Bangladesh. Technological Forecasting and Social Change, 145, 413-425. https://doi.org/10.1016/j.techfore.2018.05.011

© 2018 Elsevier Inc. The use of various forms of ICTs (information communication technology) such as mobile telephones can foster the socio-economic progression of developing countries. Contextually appropriate design and use are needed for ICTs to d... Read More about Technology upgrading through co-creation of value in developing societies: Analysis of the mobile telephone industry in Bangladesh.

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.

Big data analytics and application for logistics and supply chain management (2018)
Journal Article
Govindan, K., Cheng, T., Mishra, N., & Shukla, N. (2018). Big data analytics and application for logistics and supply chain management. Transportation Research Part E: Logistics and Transportation Review, 114, 343-349. https://doi.org/10.1016/j.tre.2018.03.011

This special issue explores big data analytics and applications for logistics and supply chain management by examining novel methods, practices, and opportunities. The articles present and analyse a variety of opportunities to improve big data analyt... Read More about Big data analytics and application for logistics and supply chain management.

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.

Barriers to effective circular supply chain management in a developing country context (2018)
Journal Article
Mangla, S. K., Luthra, S., Mishra, N., Singh, A., Rana, N. P., Dora, M., & Dwivedi, Y. (2018). Barriers to effective circular supply chain management in a developing country context. Production planning & control, 29(6), 551-569. https://doi.org/10.1080/09537287.2018.1449265

Circular supply chain emphasizes surge in application of reuse, recycling and remanufacturing and thereby promotes the transformation of manufacturing characteristics from linear (‘take-produce-utilize-dump’) to circular model of flow of products, by... Read More about Barriers to effective circular supply chain management in a developing country context.

Integrated decisions for supplier selection and lot-sizing considering different carbon emission regulations in Big Data environment (2018)
Journal Article
Lamba, K., Singh, S. P., & Mishra, N. (2019). Integrated decisions for supplier selection and lot-sizing considering different carbon emission regulations in Big Data environment. Computers and Industrial Engineering, 128, 1052-1062. https://doi.org/10.1016/j.cie.2018.04.028

© 2018 Elsevier Ltd The rising concerns about carbon emissions due to drastic environmental changes globally has increased awareness of customers regarding the carbon footprint of the products they are consuming. Thus, compelled supply chain managers... Read More about Integrated decisions for supplier selection and lot-sizing considering different carbon emission regulations in Big Data environment.