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Article
Publication date: 6 August 2020

Dario Messina, Ana Cristina Barros, António Lucas Soares and Aristides Matopoulos

To study how supply chain decision makers gather, process and use the available internal and external information when facing supply chain disruptions.

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Abstract

Purpose

To study how supply chain decision makers gather, process and use the available internal and external information when facing supply chain disruptions.

Design/methodology/approach

The paper reviews relevant supply chain literature to build an information management model for disruption management. Afterwards, three case studies in the vehicle assembly sector, namely cars, trucks and aircraft wings, bring the empirical insights to the information management model.

Findings

This research characterises the phases of disruption management and identifies the information companies use to recover from a variety of disruptive events. It presents an information management model to enhance supply chain visibility and support disruption management at the operational level. Moreover, it arrives at two design propositions to help companies in the redesign of their disruption discovery and recovery processes.

Originality/value

This research studies how companies manage operational disruptions. The proposed information management model allows to provide visibility to support the disruption management process. Also, based on the analysis of the disruptions occurring at the operational level we propose a conceptual model to support decision makers in the recovery from daily disruptive events.

Details

The International Journal of Logistics Management, vol. 31 no. 3
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 11 July 2023

Khadija Echefaj, Abdelkabir Charkaoui, Anass Cherrafi, Jose Arturo Garza-Reyes, Syed Abdul Rehman Khan and Abla Chaouni Benabdellah

Selecting the optimal supplier is a challenging managerial decision that involves several dimensions that vary over time. Despite the considerable attention devoted to this issue…

Abstract

Purpose

Selecting the optimal supplier is a challenging managerial decision that involves several dimensions that vary over time. Despite the considerable attention devoted to this issue, knowledge is required to be updated and analyzed in this field. This paper reveals new opportunities to advance supplier selection (SS) research from a multidimensional perspective. Moreover, this study aims to formalise SS knowledge to enable the appropriate selection of sustainable, resilient and circular criteria.

Design/methodology/approach

This study is developed in two stages: first, a systematic literature review is conducted to select relevant papers. Descriptive and thematic analyses are employed to analyze criteria, solving approaches and case studies. Second, a criterion knowledge-based framework is developed and validated by experts to be implemented as ontology using Protégé software.

Findings

Evaluating the viability of suppliers need further studies to integrate other criteria and to align SS objectives with research advancement. Artificial intelligence tools are needed to revolutionize and optimize the traditional techniques used to solve this problem. Literature lucks frameworks for specific sectors. The proposed ontology provides a consistent criteria knowledge base.

Practical implications

For academics, the results of this study highlight opportunities to improve the viable SS process. From a managerial perspective, the proposed ontology can assist managers in selecting the appropriate criteria. Future works can enrich the proposed ontology and integrate this knowledge base into an information system.

Originality/value

This study contributes to promoting knowledge about viable SS. Capitalizing the knowledge base of criteria in a computer-interpretable manner supports the digitalization of this critical decision.

Details

Management of Environmental Quality: An International Journal, vol. 34 no. 5
Type: Research Article
ISSN: 1477-7835

Keywords

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