Tim Auer
Title
Ph.D. HSG
Last Name
Auer
First name
Tim
Email
tim.auer@unisg.ch
Phone
+41 71 224 72 86
12 Ergebnisse
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Item type:Veröffentlichung, Cruising towards Supply Chain Viability: A Tripartite Perspective through Multi-Stage Focus Groups(2025); ; Supply Chain Viability (SCV) is the ability of a supply chain system to survive and adapt in a changing environment over a long period of time, integrating the aspects of leagility, resilience, and sustainability. This study identifies practice concepts that can be implemented by different stakeholder clusters to enable SCV. We adopt a backcasting approach, starting from the vision of SCV derived from the literature review and then conduct eight focus group sessions with experts. Our findings include 69 practice concepts that are assigned to six enabler categories and three stakeholder clusters: Intertwined Supply Network, Society, and Economy & Governance. We discuss how these clusters differ in the nature of their practices, as well as their contribution in achieving SCV. The study contributes to the literature on SCV by providing a comprehensive framework of practices that can assist practitioners and researchers in developing viable supply chains.cris-layout.advanced-attachment.dc.type:journal articleJournal:International Journal of Supply Chain and Operations Resilience - third-party-metrics-blockedthird-party-metrics-cookies.consent-settings
Item type:Veröffentlichung, A Simulation-Based Evaluation of Combined Resilience Measures to Mitigate Supply Chain Disruptions(2024-06)The motivation for this paper is to address the critical knowledge gap in understanding the effectiveness of various supply chain resilience practices, both individually and in combination, against the backdrop of increasingly frequent and diverse global supply chain disruptions. This research seeks to provide a deeper, quantitative understanding of resilience strategies tailored to specific disruption scenarios, enhancing the ability of supply chains to adapt and respond effectively to dynamic global challenges. To achieve this objective, a simulation-based approach is employed, providing a robust foundation for analysis and comparability. Using the Monte Carlo method, 240 combinations of resilience practices are simulated 10,000 times each for five different disruptions (supply disruption, production shutdown, inventory destruction, logistics interference and demand shift), creating a comprehensive dataset for evaluation. The findings of this paper are the identification of varying degrees of effectiveness in individual and combined supply chain resilience practices tailored to specific types of disruptions. For industry professionals, this paper serves as a practical guide for assessing and refining their own resilience strategies. The insights derived from the simulations offer a tangible framework for organizations to enhance their preparedness, responsiveness, and overall resilience in the face of disruptions.cris-layout.advanced-attachment.dc.type:conference paper - third-party-metrics-blockedthird-party-metrics-cookies.consent-settings
Item type:Veröffentlichung, Agent-based supply chain and disruption modeling: Building digital twins to enhance resilience(2024-03)This paper explores the simulation of supply chain disruptions and resilience. It employs a three-phase approach, initially focusing on understanding historical supply chain disruptions through the analysis of news articles using Large Language Processing (LLP) methodology. The study then examines supply chain resilience strategies to mitigate these disruptions. The final phase integrates findings to develop a comprehensive framework for simulating supply chain disruptions and resilience. The research concludes with insights into improving supply chain resilience against disruptions, providing a significant contribution to the field of supply chain simulation and resilience management.cris-layout.advanced-attachment.dc.type:conference paper - third-party-metrics-blockedthird-party-metrics-cookies.consent-settings
Item type:Veröffentlichung, Assessing supply chain resilience using the ISM approach(2023-07); This paper aims to increase understanding and simplify the applicability of the concept of supply chain resilience by identifying the variables involved and their interrelationships using the Interpretive Structural Modeling (ISM) approach. A multiple case study approach is used to explore the theoretical foundation and practical application of resilience strategies in seven individual cases. The research provides an overview of companies' resilience practices and formulates hypotheses regarding influencing relationships within these strategies. The results offer insight into the application of the concept of supply chain resilience, providing practitioners with a clearer understanding of the factors involved and their composition.cris-layout.advanced-attachment.dc.type:conference paper - third-party-metrics-blockedthird-party-metrics-cookies.consent-settings
Item type:Veröffentlichung, Enabling artificial intelligence in procurement - An investigation of influencing factors(2023-06)cris-layout.advanced-attachment.dc.type:conference paper - third-party-metrics-blockedthird-party-metrics-cookies.consent-settings
Item type:Veröffentlichung, A Multi-Stage Focus Group Study on Supply Chain Viability Enablers(2023-07); cris-layout.advanced-attachment.dc.type:conference paper - third-party-metrics-blockedthird-party-metrics-cookies.consent-settings
Item type:Veröffentlichung, Artificial intelligence as a catalyst for supply chain resilience and sustainability - A systematic literature review(2023-06); cris-layout.advanced-attachment.dc.type:conference paper - third-party-metrics-blockedthird-party-metrics-cookies.consent-settings
Item type:Veröffentlichung, The evolution of early warning effectiveness - Recommending proactive measures in the event of an early warning and resulting learning effectsGlobal supply chains have been lulled into a sense of complacency, by reducing costs and efficiency, leading to a continuously increasing degree of complexity, rigidity, and loss of control by outsourcing. Since supply chain risk management could not cope with this development, essential but overdue development steps are required. An EWS in SCM is powerful if the additional preparation time is used effectively in uncertain situations. By combining DSR and the qualitative data analysis of interviews, the study develops a framework to increase early warning effectiveness for supply chain disruptions. We chose this approach because early warning in SCM is in an exploratory stage. We have established a framework for the purposeful evolution of early warning effectiveness.This paper identifies a crucial framework for practitioners to increase early warning effectiveness and simultaneously develops a catalog of actionable measures in case of an early warning. Therefore, it provides practical guidelines for managers to take the right action steps when a supply chain disruption is imminent. This paper is among the first contributions to explore the evolution of early warning by investigating learning effects and providing a catalog of measures in case of early warning.cris-layout.advanced-attachment.dc.type:conference paper - third-party-metrics-blockedthird-party-metrics-cookies.consent-settings
Item type:Veröffentlichung, Resilienz-Benchmarking im Einkauf - Erwarte das Unerwartetecris-layout.advanced-attachment.dc.type:newspaper articleJournal:Beschaffung aktuellVolume:1-2 - third-party-metrics-blockedthird-party-metrics-cookies.consent-settings
Item type:Veröffentlichung, The Role of Digital Enablers in Creating Viable Supply Chains(2026-03-12); ; cris-layout.advanced-attachment.dc.type:work report