Forecasting Intermittent Demand for Aircraft Spare Parts: A Comparative Evaluation of Methods.

10.2514/1.851 ◽  
2004 ◽  
Vol 41 (3) ◽  
pp. 665-673 ◽  
Author(s):  
A. A. Ghobbar
Keyword(s):  
Comparative Evaluation ◽  
Spare Parts ◽  
Intermittent Demand ◽  
Evaluation Of Methods

scholarly journals Performance tradeoffs for spare parts supply chains with additive manufacturing capability servicing intermittent demand

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kyle C. McDermott ◽  
Ryan D. Winz ◽  
Thom J. Hodgson ◽  
Michael G. Kay ◽  
Russell E. King ◽  
...  
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Production Capacity ◽  
Spare Part ◽  
Spare Parts ◽  
Mixed Integer ◽  
Network Configuration ◽  
Intermittent Demand ◽  
Content Type ◽  
Demand Patterns

PurposeThe study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns.Design/methodology/approachThis work evaluates various AM-enabled supply chain configurations through Monte Carlo simulation. Historical demand simulation and intermittent demand forecasting are used in conjunction with a mixed integer linear program to determine optimal network nodal inventory policies. By varying demand characteristics and AM capacity this work assesses how to best employ AM capability within the network.FindingsThis research assesses the preferred AM-enabled supply chain configuration for varying levels of intermittent demand patterns and AM production capacity. The research shows that variation in demand patterns alone directly affects the preferred network configuration. The relationship between the demand volume and relative AM production capacity affects the regions of superior network configuration performance.Research limitations/implicationsThis research makes several simplifying assumptions regarding AM technical capabilities. AM production time is assumed to be deterministic and does not consider build failure probability, build chamber capacity, part size, part complexity and post-processing requirements.Originality/valueThis research is the first study to link realistic spare part demand characterization to AM supply chain design using quantitative modeling.

Exploiting elapsed time for managing intermittent demand for spare parts

2017 ◽  
Vol 258 (3) ◽  
pp. 958-969 ◽  
Author(s):  
Clint L.P. Pennings ◽  
Jan van Dalen ◽  
Erwin A. van der Laan
Keyword(s):  
Spare Parts ◽  
Intermittent Demand ◽  
Elapsed Time

COMPARATIVE EVALUATION OF METHODS FOR DETERMINING THE CONTENT OF HYDROGEN IN METAL MATERIALS

2019 ◽  
pp. 75-84
Author(s):  
D.M. Davydov ◽  
◽  
V.I. Titov ◽  
A.F. Letov ◽  
A.N. Lutsenko ◽  
...  
Keyword(s):  
Comparative Evaluation ◽  
Metal Materials ◽  
Evaluation Of Methods

Comparative evaluation of methods for precise determination of oxygen stoichiometry in highT c oxides

Pramana ◽  
1989 ◽  
Vol 32 (2) ◽  
pp. 143-148 ◽  
Author(s):  
T S Krishnamoorthy ◽  
N Mahadevan ◽  
S S Desai ◽  
C C Dias
Keyword(s):  
Comparative Evaluation ◽  
Precise Determination ◽  
Oxygen Stoichiometry ◽  
Evaluation Of Methods
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