What can we learn about reshoring after Covid-19?

Barbieri, Paolo; Boffelli, Albachiara; Elia, Stefano; Fratocchi, Luciano; Kalchschmidt, Matteo Giacomo Maria; Samson, Danny

doi:10.1007/s12063-020-00160-1

Cited by 148 publications

(151 citation statements)

References 19 publications

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“… Growth and Change X 2019 Radi, D., Lamantia, F., Bischi, I. Macroeconomics Dynamics 2019 Sayem, A., Feldmann A., Ortega-Mier, M. BRQ Business Research Quarterly X 2019 Sirilertsuwan, P., Hjelmgren, D., Ekwall, D. Journal of Fashion Marketing and Management 2019 Thakur-Werns, P. Journal of Global Operations and Strategic Sourcing 2019a Wan, L. Orzes, G., Sartor, M., Di Mauro, C., Nassimbeni, G. Journal of Purchasing and Supply Management X 2019b Wan, L. Orzes, G., Sartor, M., Nassimbeni, G. Journal of Purchasing and Supply Management X 2020 Barbieri, P., Boffelli, A., Elia, S., Fratocchi, L., Kalchschmidt, M., Samson, D. Operations Management Research 2020 Boffelli, A., Golini, R., Orzes, G., Dotti, S. Journal of Purchasing and Supply Management 2020 Boffelli, A., Johansson, M. Operations Management Research 2020 Butollo, F. Competition and Change 2020 Cassia, F. TQM Journal 2020 Gharleghi, B., Jahanshahai, A.A., Thoene, T.T. International Journal of Business and Globalisation 2020 Grappi, S., Romani, S., Bagozzi, R.P.…”

Section: Appendixmentioning

confidence: 99%

Back-shoring vs near-shoring: a comparative exploratory study in the footwear industry

2021

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Section: Appendixmentioning

confidence: 99%

Back-shoring vs near-shoring: a comparative exploratory study in the footwear industry

2021

Self Cite

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“…Nevertheless, decision-making under certainty within HRPM is only characteristic of standard, well-known projects realized in a quiet environment. In practice, such projects do not occur very often, especially nowadays (Barbieri et al 2020;Samson 2020). That is why we focus, in this paper, on new projects (innovative or innovation projects) and projects performed in very stormy periods (e.g., economic crisis, pandemic, unstable law).…”

Section: From Deterministic Ap To Ap Under Uncertainty-motivation Ofmentioning

confidence: 99%

The Assignment Problem in Human Resource Project Management under Uncertainty

Gaspars-Wieloch

2021

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The assignment problem (AP) is a discrete and combinatorial problem where agents are assigned to perform tasks for efficiency maximization or cost (time) minimization. AP is a part of human resource project management (HRPM). The AP optimization model, with deterministic parameters describing agent–task performance, can be easily solved, but it is characteristic of standard, well-known projects realized in a quiet environment. When considering new (innovation or innovative) projects or projects performed in very turbulent times, the parameter estimation becomes more complex (in extreme cases, even the use of the probability calculus is not recommended). Therefore, we suggest an algorithm combining binary programming with scenario planning and applying the optimism coefficient, which describes the manager’s nature (attitude towards risk). The procedure is designed for one-shot decisions (i.e., for situations where the selected alternative is performed only once) and pure strategies (the execution of a weighted combination of several decision variants is not possible).

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“…Especially since the novel coronavirus (COVID-19) outbreak has severely disrupted global supply chain network and has devastatingly hit almost every industry in the world (Chowdhury et al 2020 ), the traditional supply chains have begun looking around to improve sustainability and resilience. It has given rise to "a unique amalgamative failure of economics, healthcare, and society" (Sinha and Paterson 2020 ) and has substantially impacted the configuration and management of operations and supply chains (Barbieri et al 2020 ). As a result of the pandemic, the preferences of customers and buyers have seen unprecedented changes in eating habits, shopping behavior, delivery services, work, and schooling (Thorbecke 2020 ; Abesamis 2020 ; Li and Lalani 2020 ; BM 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era

2021

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Because of the COVID-19 outbreak, the supply of both essential and non-essential goods and services has been unprecedentedly disrupted. In the absence of any playbook, the need for innovative technologies to aid recovery from the Supply Chain (SC) disruptions quickly and effectively becomes persistent. The study aims to develop an innovative decision-making technology to handle the supplier selection problems arising from the frequent impreciseness and incompleteness in the nowadays' SC reports within the framework of the gresilient supply chain management. Through the integration of green and resilience aspects of the SCs, the supply chain 'gresilience' has been conceptualized. In light of this construct and based on the data collected from a manufacturing firm, the study deploys a two-fold decomposition of the core algorithm of the Ordinal Priority Approach (OPA), one for attributes and other for alternatives. It extends the OPA to the Fuzzy OPA (OPA-F) for solving the supplier selection problems. The study illustrates how green and resilience aspects of the SC can be integrated to better understand the gresilient suppliers in the wake of the SC disruptions. A novel construct of SC Gresilience is also furnished along with a novel definition of SC Gresilience. It also provides an innovative SC decision-making technology to help procurement managers to evaluate their suppliers. The resultant framework can help them better prepare for the COVID-19 like disruptions in the future.

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What can we learn about reshoring after Covid-19?

Cited by 148 publications

References 19 publications

Back-shoring vs near-shoring: a comparative exploratory study in the footwear industry

Back-shoring vs near-shoring: a comparative exploratory study in the footwear industry

The Assignment Problem in Human Resource Project Management under Uncertainty

Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era

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