Abstract

When an aircraft experiences an unexpected issue during flight operations, a technician determines whether the aircraft can safely perform the next flight. This operational decision process - known as dispatch assessment - has to happen within limited available time between aircraft arrival and departure. Currently, technicians face two main problems during the assessment: lack of access to decision support information and a time-consuming process for finding relevant information in extensive maintenance manuals. These issues often lead to delays and additional costs and are indicative of three larger challenges in the decision support domain: 1) a paucity of decision support models and applications for operational processes in maintenance; 2) relatively few efforts in applying and evaluating artifacts in experimental and real-life operational settings; and 3) a lack of systematic development, application and evaluation of digitization and automation efforts of complex decision processes in maintenance. This paper applies a design science research approach to address these challenges and introduces two novel artifacts: a decision support framework for real-time decision making in aircraft dispatch, and a web-based prototype tool accessible through mobile solutions. The practical relevance of the framework and prototype is validated through two representative application and evaluation studies, one in an experimental setting and one in an operational environment. Results show significant time savings and strong qualitative indications towards a higher incentive to use documentation and reducing human risk factors that lead to maintenance error.

Highlights

  • Air transport is known for being the safest mode of long-distance travel

  • This paper introduced a novel framework and prototype providing real-time decision support for aircraft dispatch assessment

  • The introduced artifacts address several of the issues identified in literature by 1) providing decision support for a specific operational process in maintenance; 2) applying and evaluating the prototype through two case studies in experimental and real-life operational settings; and 3) providing web-based integration of multiple data sources for real-time and on-site decision support for a complex decision process, including automated dispatch alternative identification and ranking

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Summary

Introduction

Air transport is known for being the safest mode of long-distance travel. Among the many factors that contribute to the safety of air transport, maintenance is essential to the airworthiness of the aircraft. Though it is mandatory to use documentation during maintenance execution, technicians usually make a continuous trade-off between safety, legality and efficiency [3] as the time for performing dispatch assessment and subsequent maintenance is limited (e.g., typically no more than 30 min for narrow-body aircraft such as the Airbus A320 and Boeing 737, routinely used in continental air transport). This has a negative effect on well-known human risk factors in aircraft maintenance (e.g., stress, pressure and complacency) that can lead to maintenance errors or even accidents [4,5]

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