Title: Performability evaluation of transport modes for cloud-based inbound logistics: a study based on coffee industry

Authors: Anderson Nascimento; Eduardo Tavares; Gabriel Alves Jr.; Erica Sousa; Bruno Nogueira

Addresses: Centro de Informática, Universidade Federal de Pernambuco (UFPE), Recife, PE, Brazil ' Centro de Informática, Universidade Federal de Pernambuco (UFPE), Recife, PE, Brazil ' Departmento de Estatística e Informação, Universidade Federal Rural de Pernambuco (UFRPE), Recife, PE, Brazil ' Departmento de Estatística e Informação, Universidade Federal Rural de Pernambuco (UFRPE), Recife, PE, Brazil ' Unidade Acadêmica de Garanhuns (UAG), Universidade Federal Rural de Pernambuco (UFRPE), Garanhuns, PE, Brazil

Abstract: The adoption of cloud computing in supply chains has been growing over the years due to the benefits concerning on-demand resource provisioning and cost reduction. In the context of inbound logistics, cloud computing may also provide mechanisms for information sharing that allows better decisions, for instance, for selecting the best transport mode for a given set of goods and suppliers. However, cloud computing is still new to organisations in supply chain and evaluations should be carried out to assess the tangible gains in this paradigm. This paper presents an approach based on stochastic Petri nets (SPN) for performability assessment of transport modes in cloud-based inbound logistics taking into account sustainability issues and the coffee industry as case study.

Keywords: supply chains; inbound logistic; performance evaluation; stochastic Petri nets; SPN; sustainability; transport modes; cloud computing.

DOI: 10.1504/IJMTM.2020.106209

International Journal of Manufacturing Technology and Management, 2020 Vol.34 No.2, pp.126 - 147

Received: 20 Apr 2016
Accepted: 27 Mar 2017

Published online: 30 Mar 2020 *

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