One of the main issues faced in supply chain risk management is the lack of a tool for evaluating the risk profile and for identifying which risks require mitigation. The complexity of modern supply chains worsens this issue, mostly in delivery and distribution processes, since these significantly vary according to the delivered product, the distribution channel and the target market. Indeed, these features influence so deeply the risk profile of a company that their effect has an impact on each single delivery. This paper proposes a framework aiming to provide risk managers with a tool that can reduce evaluation effort while helping in focusing the efforts on the assessment and mitigation of critical aspects. Starting from a literature review of supply chain risk taxonomies and through mapping the connection between risk classes and features of the supply chain downstream flows, the framework defines which risks are relevant for a given scenario and how to perform an efficient assessment phase. Finally, to validate the framework and to highlight potential gaps between the outcomes and company managers' perception, a real-world scenario is proposed.

Giordano, F., Lucci, G., Schiraldi, M.m., Varisco, M. (2017). Risk Assessment framework for delivery process: A delivery features perspective to optimize efforts in the assessment phase. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? Conference on "Industrial Systems Engineering", Palermo.

Risk Assessment framework for delivery process: A delivery features perspective to optimize efforts in the assessment phase

Giordano, F.
;
Lucci, G.
;
Schiraldi, M. M.
;
VARISCO, MARTINA
2017

Abstract

One of the main issues faced in supply chain risk management is the lack of a tool for evaluating the risk profile and for identifying which risks require mitigation. The complexity of modern supply chains worsens this issue, mostly in delivery and distribution processes, since these significantly vary according to the delivered product, the distribution channel and the target market. Indeed, these features influence so deeply the risk profile of a company that their effect has an impact on each single delivery. This paper proposes a framework aiming to provide risk managers with a tool that can reduce evaluation effort while helping in focusing the efforts on the assessment and mitigation of critical aspects. Starting from a literature review of supply chain risk taxonomies and through mapping the connection between risk classes and features of the supply chain downstream flows, the framework defines which risks are relevant for a given scenario and how to perform an efficient assessment phase. Finally, to validate the framework and to highlight potential gaps between the outcomes and company managers' perception, a real-world scenario is proposed.
Conference on "Industrial Systems Engineering"
Palermo
2017
Rilevanza internazionale
Settore ING-IND/17 - Impianti Industriali Meccanici
English
Delivery; Distribution; Risk Management; Supply Chain Management; Business and International Management; Management of Technology and Innovation; Organizational Behavior and Human Resource Management; Strategy and Management1409 Tourism, Leisure and Hospitality Management; Management Science and Operations Research; Industrial and Manufacturing Engineering; Safety, Risk, Reliability and Quality; Waste Management and Disposal
Intervento a convegno
Giordano, F., Lucci, G., Schiraldi, M.m., Varisco, M. (2017). Risk Assessment framework for delivery process: A delivery features perspective to optimize efforts in the assessment phase. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? Conference on "Industrial Systems Engineering", Palermo.
Giordano, F; Lucci, G; Schiraldi, Mm; Varisco, M
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/194657
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact