Forecasting spare part demand using service maintenance information

Auweraer, Sarah Van der; Boute, Robert

doi:10.1016/j.ijpe.2019.03.015

Cited by 51 publications

(15 citation statements)

References 39 publications

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“…The role of forecasting in industrial maintenance is of paramount importance. One application is to forecast spare parts, whose demands are typically intermittent, usually required to carry out corrective and preventive maintenances (Wang and Syntetos, 2011;Van der Auweraer and Boute, 2019). On the other hand, it is crucial for PdM the forecast of the remaining useful time, which is the useful life left on an asset at a particular time of operation (Si et al, 2011).…”

Section: Predictive Maintenance 90mentioning

confidence: 99%

Forecasting: theory and practice

Petropoulos,

Apiletti,

Assimakopoulos

et al. 2020

Preprint

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Forecasting has always been in the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The lack of a free-lunch theorem implies the need for a diverse set of forecasting methods to tackle an array of applications. This unique article provides a non-systematic review of the theory and the practice of forecasting. We offer a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts, including operations, economics, finance, energy, environment, and social good. We do not claim that this review is an exhaustive list of methods and applications. The list was compiled based on the expertise and interests of the authors. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of the forecasting theory and practice.

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Section: Predictive Maintenance 90mentioning

confidence: 99%

Forecasting: theory and practice

Petropoulos,

Apiletti,

Assimakopoulos

et al. 2020

Preprint

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show abstract

“…Sin embargo, mantener existencias adicionales puede ser costoso cuando se hace para una gran cantidad de artículos, o para artículos caros. La gestión eficiente del inventario de piezas de repuesto es, por lo tanto, una tarea importante pero desafiante [7].…”

Section: Gestión De Inventariosunclassified

Planificación y Gestión de Inventarios en la cadena de Suministro del sector Post Venta Automotriz

Viacava¹,

Carpio²,

López³

et al. 2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

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This article examines the problem of inattentions that occur at the time of performing the vehicle maintenance service in a company in the automotive sector. Currently, the inattentions represent monthly between 40% and 50% of the total number of car services, causing the payment of penalties by the company, which represents an economic loss of 25% with respect to its monthly income. The problem lies due to shortage of spare parts, as stock breaks occur due to improper planning and programming of supply. Therefore, to address the lack of spare parts, a proposal was developed that for preventive maintenance is based on the use of a Kanban System based on Pull principles, while for corrective maintenance an ABC system is used for the classification of spare parts in conjunction with an inventory system Model EOQ (Economic Purchase Lot) in order to define the minimum and maximum levels of inventories. This proposal aims to have auto parts availability through supply management by reducing the costs incurred in penalties by 77% by reducing the number of neglects by 61%, with an investment recovery period of 1 year.

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“…Therefore, how to get an efficient supply of spare parts becomes very important. Estimating the demand for spare parts depends on the number of equipment, parts failure behavior, and the recognized maintenance policy of the organization, where this data is used as the primary inventory management data [8]- [10]. Zhu et al [10] conducted a study that builds dynamic inventory control based on a data-sharing platform which can further be helpful for the development of inventory optimization.…”

Section: Introductionmentioning

confidence: 99%

Spare Parts Supplier Selection Design: A Case Study of A Railway Company

Asmara

Kusumah

2021

J. Optimasi Sist. Ind.

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Spare parts support is essential for rolling stock maintenance management. The current supplier selection model determines the selected supplier based on evaluating one aspect of the criteria (product aspect). The selection of suppliers with poor performance occurred between 2018-2020 related to the delivery of goods that exceeded the deadline and goods that did not meet specifications. The first objective of this research is to analyze and determine the relevant priority criteria for selecting suppliers of rolling stock spare parts for railway companies. The second objective is to determine the rolling stock spare parts supplier by using the evaluation criteria determined in the previous process. The method used in this research is the integration of the Fuzzy Delphi Method (FDM), Analytical Hierarchy Process (AHP), and Technique for Others Preference by Similarity to Ideal Solutions (TOPSIS). FDM is used to select important criteria for the selection of suppliers of rolling stock parts. AHP is used to assist in choosing various criteria through evaluation in determining the criteria's weight. TOPSIS is used to assess supplier ratings. A total of 13 criteria from 19 alternative criteria have been selected for railway companies, especially in selecting rolling stock spare parts suppliers. Furthermore, the selection becomes the basis for bidding. Finally, Supplier A is the supplier with the highest relative closeness value (0.591), followed by Supplier B (0.545), and the lowest is Supplier C (0.282).

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Forecasting spare part demand using service maintenance information

Cited by 51 publications

References 39 publications

Forecasting: theory and practice

Forecasting: theory and practice

Planificación y Gestión de Inventarios en la cadena de Suministro del sector Post Venta Automotriz

Spare Parts Supplier Selection Design: A Case Study of A Railway Company

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