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Dr Manish Shukla's Outputs (15)

Opportunities in Farming Research from an Operations Management Perspective (2023)
Journal Article
Gupta, S., Berenji, H. R., Shukla, M., & Murthy, N. N. (2023). Opportunities in Farming Research from an Operations Management Perspective. Production and Operations Management, 32(6), 1577-1596. https://doi.org/10.1111/poms.13967

We review and analyze the farming (upstream agribusiness supply chain) research literature since 1965 to identify farming research opportunities for operations management (OM) researchers. A majority of reviewed papers in our corpus, until the turn o... Read More about Opportunities in Farming Research from an Operations Management Perspective.

The impact of the Internet of Things (IoT) on Servitization: An exploration of changing supply relationships (2019)
Journal Article
Boehmer, J. H., Shukla, M., Kapletia, D., & Tiwari, M. K. (2020). The impact of the Internet of Things (IoT) on Servitization: An exploration of changing supply relationships. Production Planning and Control, 31(2-3), 203-219. https://doi.org/10.1080/09537287.2019.1631465

This research paper explores the emerging potential of IoT technology as an enabler for manufacturers seeking to exploit opportunities for new production, business and operating models. Following an analysis of extant literature and exploration of fo... Read More about The impact of the Internet of Things (IoT) on Servitization: An exploration of changing supply relationships.

A Framework for Understanding Institutional Factors Affecting the Success and Failure of Offshoring Models in India (2019)
Journal Article
Shukla, M., Pal, K., & Tiwari, M. (2020). A Framework for Understanding Institutional Factors Affecting the Success and Failure of Offshoring Models in India. International Journal of Production Research, 58(19), 5911-5928. https://doi.org/10.1080/00207543.2019.1661533

The objective of this paper is to identify and analyse the factors that influence offshore location decisions from an institutional theory perspective. In the years, emerging economies have shown great growth potential and have attracted significant... Read More about A Framework for Understanding Institutional Factors Affecting the Success and Failure of Offshoring Models in India.

"Quantifying The Circularity of Regional Industrial Waste Across Multi-Channel Enterprises" (2019)
Journal Article
Schilkowski, C., Shukla, M., & Choudhary, S. (2020). "Quantifying The Circularity of Regional Industrial Waste Across Multi-Channel Enterprises". Annals of Operations Research, 290(1-2), 385-408. https://doi.org/10.1007/s10479-019-03168-4

Circular economy is a theoretical concept that is widely discussed in recent literature as a way to achieve increased sustainability. However, published literature focuses on how to increase circularity without analysing the status quo of circularity... Read More about "Quantifying The Circularity of Regional Industrial Waste Across Multi-Channel Enterprises".

Application of additive manufacturing for mass customisation: understanding the interaction of critical barriers (2018)
Journal Article
Shukla, M., Todorov, I., & Kapletia, D. (2018). Application of additive manufacturing for mass customisation: understanding the interaction of critical barriers. Production Planning and Control, 29(10), 814-825. https://doi.org/10.1080/09537287.2018.1474395

Additive Manufacturing (AM) technology presents a very optimistic case for its application for mass customisation. Even though theoretically suitable, practically several critical barriers inhibit its implementation. Thus, this paper attempts to iden... Read More about Application of additive manufacturing for mass customisation: understanding the interaction of critical barriers.

Next Generation Smart Sustainable Auditing Systems using Big Data Analytics: Understanding the interaction of critical barriers (2018)
Journal Article
Shukla, M., & Mattar, L. (2019). Next Generation Smart Sustainable Auditing Systems using Big Data Analytics: Understanding the interaction of critical barriers. Computers and Industrial Engineering, 128, 1015-1026. https://doi.org/10.1016/j.cie.2018.04.055

In the current scenario, sustainable auditing, for example roundtable of sustainable palm oil (RSPO), requires a huge amount of data to be manually collected and entered into paper forms by farmers. Such systems are inherently inefficient, time-consu... Read More about Next Generation Smart Sustainable Auditing Systems using Big Data Analytics: Understanding the interaction of critical barriers.

Big-Data Analytics Framework For Incorporating Smallholders In Sustainable Palm Oil Production (2017)
Journal Article
Shukla, M., & Tiwari, M. (2017). Big-Data Analytics Framework For Incorporating Smallholders In Sustainable Palm Oil Production. Production Planning and Control, 28(16), 1365-1377. https://doi.org/10.1080/09537287.2017.1375145

This paper aims to address the constraints faced in incorporating smallholders in sustainable palm oil production. There exists literature that acknowledges the need for incorporating smallholders in the production of sustainable palm oil but none ha... Read More about Big-Data Analytics Framework For Incorporating Smallholders In Sustainable Palm Oil Production.

Harvest scheduling to reduce waste in agri-fresh produce supply chains: An Artificial Immune System-based solution approach. (2014)
Journal Article
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), Article 14. https://doi.org/10.1504/ijps.2014.066689

This paper presents a mathematical model to maximise the overall profit by reducing the waste of agri-fresh produce. This is achieved by synchronising demand with supply through an optimal harvest schedule. The proposed model is complex in nature, an... Read More about Harvest scheduling to reduce waste in agri-fresh produce supply chains: An Artificial Immune System-based solution approach..

An Inventory Model for Continuously Deteriorating Agri-Fresh Produce: An Artificial Immune System Based Solution Approach. (2014)
Journal Article
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. https://doi.org/10.1504/ijism.2014.064362

This paper presents an inventory model for managing the continuously deteriorating agri-fresh produce in unorganized wholesale market. Replenishment policy is proposed assuming stochastic demand, periodic review and lost sales. Three inventory retrie... Read More about An Inventory Model for Continuously Deteriorating Agri-Fresh Produce: An Artificial Immune System Based Solution Approach..

Applicability of ARIMA Models in Wholesale Vegetable Market: An Investigation. (2013)
Journal Article
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. https://doi.org/10.4018/ijisscm.2013070105

To investigate the applicability of ARIMA models in wholesale vegetable market models are built taking sales data of one perishable vegetable from Ahmedabad wholesales market in India. It is found that these models can be applied to forecast the dema... Read More about Applicability of ARIMA Models in Wholesale Vegetable Market: An Investigation..

Artificial Immune System-based algorithm for vehicle routing problem with time window constraint for the delivery of agri-fresh produce. (2013)
Journal Article
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. https://doi.org/10.1080/12460125.2013.810859

This paper addresses the problem of delivering continuously deteriorating agri-fresh produce from a wholesaler to a number of retailers, within specific time windows. The prime objective is to decide the routes in such a way that the overall cost inc... Read More about Artificial Immune System-based algorithm for vehicle routing problem with time window constraint for the delivery of agri-fresh produce..

ARIMA Models to Forecast Demand in Fresh Supply Chains. (2011)
Journal Article
Shukla, M., & Jharkharia, S. (2011). ARIMA Models to Forecast Demand in Fresh Supply Chains. International Journal of Operational Research, 11(1), 1-18. https://doi.org/10.1504/ijor.2011.040325

This paper presents the application of autoregressive integrated moving average (ARIMA) models to forecast the demand of fresh produce (fruits and vegetables) on a daily basis. Models were built using 25 months sales data of onion from Ahmedabad mark... Read More about ARIMA Models to Forecast Demand in Fresh Supply Chains..

B2B multi-attribute e-procurement: an artificial immune system based goal programming approach. (2011)
Journal Article
Shukla, M., Chan, F., Tiwari, M., Shankar, R., & Choy, K. (2011). B2B multi-attribute e-procurement: an artificial immune system based goal programming approach. International Journal of Production Research, 49(2), 321-341. https://doi.org/10.1080/00207540902922802

This paper presents an artificial immune system (AIS) based goal programming approach for a multi-attribute e-procurement system. Current trends reveal that procurers are now concerned with various attributes of supplier selection, rather than negoti... Read More about B2B multi-attribute e-procurement: an artificial immune system based goal programming approach..

Integrated model for the batch sequencing problem in a multi-stage supply chain: an artificial immune system based approach. (2009)
Journal Article
Shukla, M., Shukla, N., Tiwari, M., & Chan, F. (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. https://doi.org/10.1080/00207540601158807

In this paper a mathematical model for the batch sequencing problem in a multistage supply chain is developed by taking into account three practically important objectives, viz. minimization of lead time, blocking time and due date violation. Attribu... Read More about Integrated model for the batch sequencing problem in a multi-stage supply chain: an artificial immune system based approach..