Managing lumpy demand for aircraft spare parts

Regattieri, Alberto; Gamberi, Mauro; Gamberini, Rita; Manzini, Riccardo

doi:10.1016/j.jairtraman.2005.06.003

Cited by 97 publications

(50 citation statements)

References 9 publications

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“…In addition to the average inter-demand interval (p), the squared coefficient of variation of the demand sizes (CV 2 ) was also identified as an important parameter to distinguish between alternative methods' performance. The empirical utility of the schemes discussed above has been confirmed in many studies (e.g., Ghobbar and Friend 2002, Regattieri et al 2005. Further refinements of these schemes (and empirical evidence on their performance) are offered by Kostenko and Hyndman (2006) and Heinecke et al (2013).…”

Section: (Note 7)mentioning

confidence: 78%

Supply chain forecasting: Theory, practice, their gap and the future

Syntetos

Babai

Boylan

et al. 2016

European Journal of Operational Research

228

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HIGHLIGHTSThe literature on supply chain forecasting is critically reviewed;The process of involving the forecasting community towards that task is described;Gaps between theory and practice are identified; Data and software related issues are explicitly considered; Challenges are summarised followed by suggestions for further research. ABSTRACTSupply Chain Forecasting (SCF) goes beyond the operational task of extrapolating demand requirements at one echelon. It involves complex issues such as supply chain coordination and sharing of information between multiple stakeholders. Academic research in SCF has tended to neglect some issues that are important in practice. In areas of practical relevance, sound theoretical developments have rarely been translated into operational solutions or integrated in state-of-the-art decision support systems. Furthermore, many experience-driven heuristics are increasingly used in everyday business practices. These heuristics are not supported by substantive scientific evidence; however, they are sometimes very hard to outperform. This can be attributed to the robustness of these simple and practical solutions such as aggregation approaches for example (across time, customers and products).This paper provides a comprehensive review of the literature and aims at bridging the gap between the theory and practice in the existing knowledge base in SCF. We highlight the most promising approaches and suggest their integration in forecasting support systems. We discuss the current challenges both from a research and practitioner perspective and provide a research and application agenda for further work in this area. Finally, we make a contribution in the methodology underlying the preparation of review articles by means of involving the forecasting community in the process of deciding both the content and structure of this paper.

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Section: (Note 7)mentioning

confidence: 78%

Supply chain forecasting: Theory, practice, their gap and the future

Syntetos

Babai

Boylan

et al. 2016

European Journal of Operational Research

228

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“…Various authors dealt or are dealing with problems of the aircraft maintenance organization [28], the problem of maintenance planning optimization [29,30], planning, scheduling, staff training, and the impact of human error in aircraft maintenance [31][32][33], needs for spare parts [34][35][36][37] and maintenance of aircraft [38][39][40]. Additionally, there are no papers that analyse the performance of maintenance functions within these organizations.…”

Section: Maintenance Improvement Modelmentioning

confidence: 99%

Improvement of the maintenance management process of complex technical systems which demand high reliability

Beker

Kesić²,

Radlovački

et al. 2017

Teh. vjesn.

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Preliminary communicationThe main objective of this research was to develop a procedure for assessing the performance of maintenance functions in organizations that are responsible for maintaining systems that require a high level of reliability; a procedure which, with minor changes, could be applicable in other organizations, as well. The process included consideration of factors that affect the success and performance of maintenance functions. The research was carried out in Aviation Maintenance Organizations in the region of South-eastern Europe.Keywords: benchmarking; FMEA; maintenance; reliability; world class maintenance management Poboljšanje procesa upravljanja održavanja složenih tehničkih sustava koji zahtijevaju visoku pouzdanostPrethodno priopćenje Glavni cilj ovog istraživanja bio je razviti postupak za ocjenjivanje izvedbe funkcija održavanja u organizacijama koje su odgovorne za održavanje sustava koji zahtijevaju visoku razinu pouzdanosti; postupak koji bi, uz manje izmjene, mogao biti primjenjiv i u drugim organizacijama. Proces uključuje razmatranje čimbenika koji utječu na uspješnost i učinkovitost funkcije održavanja. Istraživanje je provedeno u organizacijama koje se bave održavanjem zrakoplova, u regiji jugoistočne Europe.

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“…In the first step the identified relevant impact factors are set by the initially calculated value and should constantly be optimized. Approaches for forecasting methods in this context can exemplary be found in [10], [11], [12], [13], [14].…”

Section: Calculation Of the Mean Durability Of Different Partsmentioning

confidence: 99%

Demand Control Loops for a Global Spare Parts Management

Dombrowski

Weckenborg

Mederer³

2013

IFIP Advances in Information and Communication Technology

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Abstract. Timely, reliable supply of customers with spare parts is a key factor for business success in many branches. In the field of aviation the competition and cost pressures in the MRO sector (Maintenance, Repair and Overhaul) increased strongly in recent decades. Large maintenance organizations offer component pooling services for aircraft operators. A main challenge in the processes of MRO service providers is the calculation of the optimal stock level for pool components. The basis of an optimal inventory planning for the supply of spare parts is the quality of the demand input parameters used for the calculation. This paper describes the processes and the challenges of the MRO spare parts management as well as the approaches of a research project to face these challenges.

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Managing lumpy demand for aircraft spare parts

Cited by 97 publications

References 9 publications

Supply chain forecasting: Theory, practice, their gap and the future

Supply chain forecasting: Theory, practice, their gap and the future

Improvement of the maintenance management process of complex technical systems which demand high reliability

Demand Control Loops for a Global Spare Parts Management

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