criticality classification of spare parts a case study

Browse Econ Literature

• Working papers
• Software components
• Book chapters
• JEL classification

More features

• Subscribe to new research

RePEc Biblio

Author registration.

• Economics Virtual Seminar Calendar NEW!

Criticality classification of spare parts: A case study

• Author & abstract
• 9 References
• 13 Citations
• Most related
• Related works & more

Corrections

• Molenaers, An
• Baets, Herman
• Pintelon, Liliane
• Waeyenbergh, Geert

Suggested Citation

Download full text from publisher, references listed on ideas.

Follow serials, authors, keywords & more

Public profiles for Economics researchers

Various research rankings in Economics

RePEc Genealogy

Who was a student of whom, using RePEc

Curated articles & papers on economics topics

Upload your paper to be listed on RePEc and IDEAS

New papers by email

Subscribe to new additions to RePEc

EconAcademics

Blog aggregator for economics research

Cases of plagiarism in Economics

About RePEc

Initiative for open bibliographies in Economics

News about RePEc

Questions about IDEAS and RePEc

RePEc volunteers

Participating archives

Publishers indexing in RePEc

Privacy statement

Found an error or omission?

Opportunities to help RePEc

Get papers listed

Have your research listed on RePEc

Open a RePEc archive

Have your institution's/publisher's output listed on RePEc

Get RePEc data

Use data assembled by RePEc

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

Enter the email address you signed up with and we'll email you a reset link.

• We're Hiring!
• Help Center

Criticality classification of spare parts: A case study

2012, International Journal of Production Economics

Related Papers

International Business Information Management Association (IBIMA)

Anabela Tereso

Elpidio Romano

This paper presents a multi-criteria classification model for spare parts management. Maintenance operations, in particular corrective ones, involve a great amount of spare parts inventory that often is one of the main part of the immobilized capital in many industry firms. The proposed model as a mainstay for an effective spare parts management. The meaning is to support managers in the proper spare parts management inventory choice for each component through the evaluation of a different number of criteria. A three step scale of evaluation for each criteria is generated, considering all the possible values. Each criteria is weighted through the application of the Analytic Hierarchy Process. On this basis a decision tree is generated in order to lead managers to the definition of the appropriate management policy for each material, requiring only a single value for each attribute. The aim of this work is a model definition in order to manage spare parts inventory in a more efficien...

International Journal of Production Economics

Prof. L S Ganesh

nilson brandalise

Important spare parts should be kept in stock and their inventory properly controlled to replace worn and/or defective components with new ones and minimize downtime in various maintenance activities. However, the possession of spare parts in stock for ready availability (when necessary) may entail, in the case of expensive and rarely used parts, high inventory retention costs. In this work, an approach is presented to evaluate the criticality of spare parts using the AHP method with the use of ratings (Analytic Hierarchy Process Ratings Model). The structure of the elaborated decision hierarchy is related to the consequences caused by the failure of a spare part in the process, in case a replacement is not readily available with demand and supply attributes, segmenting the priorities by the Vital, Essential and Desirable criteria (VED). The proposed model was applied in very low turnover spare parts of an integral organization of an intensive capital company located in the South Fl...

Journal of Quality in Maintenance Engineering

Braglia marcello

Inventory constraints, costs of lost production, safety and environmental objectives, strategies of maintenance adopted, logistics aspects of spare parts are some of the criteria taken into account, and spare parts classification is thus defined with respect to multiple attributes. In virtue of the large number of the potential operational characteristics to be considered, the decision diagram is integrated with a set of analytic hierarchy process models used to solve the various multi‐attribute decision sub‐problems at the different levels/nodes of the decision tree. An inventory policy matrix is defined to link the different classes of spare parts with the possible inventory management policies so as to identify the “best” control strategy for the spare stocks. The principles of the theory and an actual application in a company operating in the paper industry are reported in the paper.

Ruud Teunter

Control of spare parts is very difficult as demands can be very low (once in a few years is no exception), while the consequences of a stockout can be severe. While in the past many companies choose to have very large spares inventories, one now observe trends in areas with good transportation connections to keep spare parts at the suppliers. Hence it is very important to make a good selection of which spare parts to stock at the start-up of new plants. To this end Shell Global Solutions has developed an electronic decision tool, called E-SPIR. In this report we analyse the decision rules used in it. We consider stockout penalties and advise to use criticality classifications instead. Furthermore, we investigate minimum stock levels, demand distributions and order quantities.

Harry Fc'

Spare parts management is a function of maintenance management that aims to support maintenance activities, giving real-time information on the available quantities of each spare part and adopting the inventory policies that ensure their availability when required, minimizing costs. The classification of spare parts is crucial to control the vast number of parts that have different characteristics and specificities. Spare parts management involves mainly two areas, maintenance and logistics. Therefore, the integration of both input information is recommended to make decisions. This paper presents a multi-criteria classification methodology combining maintenance and logistics perspectives that intends to differentiate and group spare parts to, subsequently, define the most appropriate stock management policy for each group. The methodology was developed based on a case study carried out in a multinational manufacturing company and is intended to be included in its computerized maintenance management system to support decision-making.

Journal of Manufacturing Technology Management

Purpose – Spare parts management plays a relevant role for equipment-intensive companies. An important step of such process is the spare parts classification, enabling properly managing different items by taking into account their peculiarities. The purpose of this paper is to review the state of the art of classification of spare parts for manufacturing equipment by presenting an extensive literature analysis followed by an industrial assessment, with the final aim to identify eventual discrepancies. Design/methodology/approach – Not only is the attention put on the literature about the subject, but also on an on-field analysis, that is presented comprehending an extensive survey and two in-depth exploratory case studies. The copper mining sector was chosen being representative for the case of capital intensive plants where the cost of maintenance has relevant weight on the total operating cost. Findings – The paper highlights the status of the scientific literature on spare parts ...

taghi rezvan

One of the most important activities in preventive maintenance is replacement of spare parts prior to failure. The aim of this paper is to propose an approach which determines jointly the preventive replacement interval and the spare parts inventory by considering different criteria and interacting with decision makers. In this approach, preventive replacement intervals, determined by experts of production and maintenance, are ranked by the analytical hierarchy process (AHP). Criteria such as cost per unit of time, availability, remaining lifetime, and reliability are used. Then, a mixed integer nonlinear multi-objective model is presented that simultaneously specifies the period of preventive replacement and the required number of spare parts. This model considers the mentioned criteria and the inventory control costs of spare parts as different objective functions. Since the solution of the problem depends on the decision maker’s strategy, it needs to interact with the decision-ma...

Rita Saputra

— Information systems play a major role in the global marketplace and influence decision making process in day to day business activity. One of the problems found in business activity is allocating a limited resource. Problem can be resolved with a system developed using Multi Attribute Decision Making (MADM) model and Multi Objective Decision Making (MODM) model. MODM model will define the design for the best alternative and MADM model provides complete selection for several alternatives which have limited resources. MADM model is used to simplify the mathematical form of MODM. MADM model approach, such as Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used for cardinal characteristic data format. Decision-maker provides values for weighing criteria as an input to the TOPSIS methods, values are calculated with Entropy methodology. The output of TOPSIS methods will provide rank to several alternatives. The rank of alternatives become the decision variables in mathematical MODM model for linear programming to resolve the problem of limited allocated resource. Finally, decision support system defines ranks of selected stores and it also presents the capacity of each store for distributing spare part.

RELATED PAPERS

Alteridades, 3, (5), UAM–I, México: 69–77

Raúl Nieto Calleja

Andrew Johnson

Educational Assessment, Evaluation and Accountability

Almerindo Afonso

Liliana Clara

Guillaume Simiand

Kristoffer Augustsson

Nadia Kozachenko

Katsuhiko Sasaki

raquel duarte-davidson

Annie Purwani

Scientific Journal of Kurdistan University of Medical Sciences

aram karimian

Journal of Mathematical Analysis and Applications

Nguyen Phu Khanh (FGW DN)

ZBORNIK Suvremene teme u odgoju i obrazovanju – STOO 2, In memoriam prof. emer. dr. sc. Milan Matijević // BOOK OF PROCEEDINGS STOO2, Contemporary Themes in Education – CTE 2, In memoriam Professor Emeritus Milan Matijević

Akvilina Čamber Tambolaš

Research on Humanities and Social Sciences

sayed muzafar shah

Eurosurveillance

Sara Boccalini

Scientia Agricola

Marcio Busi Da Silva

International Archives of Public Health and Community Medicine

Christian Tetteh

समन्वय पूर्वोत्तर, अंक-8

Animal Science Journal

Sri Gustina

Journal of Biological Chemistry

Joseph Austin

American Journal of Multidisciplinary Research and Innovation

Sabbir Hossain

Alexsandro Ricardo Da Silva

International Journal of Phytopharmacy

Prof.Priti Tagde

Springer eBooks

Daniel Slatkin

Johannes R. Kandel

RELATED TOPICS

•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

Criticality analysis of spare parts management: a multi-criteria classification regarding a cross-plant central warehouse strategy

• Production Management
• Published: 04 February 2015
• Volume 9 , pages 225–235, ( 2015 )

Cite this article

• J. Stoll 1 ,
• R. Kopf 1 ,
• J. Schneider 1 &
• G. Lanza 1  

3184 Accesses

30 Citations

Explore all metrics

Today an efficient warehouse and inventory management of spare parts for production machinery is essential for service organizations. Optimal strategies in procurement, stocking and supply play an important role for serviceability in spare parts management. In this context, individual item criticality should be considered, which describes how crucial a spare part is. This paper presents a three-dimensional classification approach for spare parts regarding a cross-plant central warehouse strategy of a service network. The approach uses two dimensions to estimate value and predictability of spare parts with aid of an ABC and XYZ analysis. The third dimension VED analyses a multi-criteria criticality classification and six feasible criteria are identified to describe item criticality. The methodology of the analysis is based on a decision tree, which represents the defined criteria by nodes. In addition, the analytic hierarchy process is used to solve the multi-criteria decision problems at the different nodes of the decision tree. The approach is developed in a research project and evaluation of spare parts is performed based on real inventory and transaction data in cooperation with an industrial company. As a result 15,000 out of 50,000 items could be classified as suitable for central warehousing.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

Similar content being viewed by others

Optimization of Inventory Management: A Literature Review

Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises

Pratik Maheshwari, Sachin Kamble, … Sunil Tiwari

Artificial intelligence-based inventory management: a Monte Carlo tree search approach

Deniz Preil & Michael Krapp

Behmann B (2012) Servicefähigkeit: Eine Methode zur Serviceplanung und simulativen Bestimmung der Servicefähigkeit auf Basis des Ausfallverhaltens von Maschinenkomponenten. Shaker Verlag, Aachen

Google Scholar  

Lanza G, Behmann B (2011) Advanced steps to optimize the serviceability. Advances in production management systems (APMS), 26.09.2011–28.09.2011, Stavanger. Norwegen. Heidelberg, Springer, New York

Biedermann H (2008) Ersatzteilmanagement: Effiziente Ersatzteillogistik für Industrieunternehmen, 2nd edn. Springer, Berlin

Niggeschmidt S (2010) Ausfallgerechte Ersatzteilbereitstellung im Maschinen- und Anlagenbau mittels lastabhängiger Lebensdauerprognose. Shaker Verlag, Aachen

Oeldorf G, Olfert K (2013) Material-Logistik. Olfert K (ed) Kompendium der praktischen Betriebswirtschaft. 13th edition. NWB Verlag, Heme

Pawellek G (2013) Integrierte Instandhaltung und Ersatzteillogistik: Vorgehensweisen, Methoden, Tools. Springer, Heidelberg

Book   Google Scholar  

Braglia M, Grassi A, Montanari R (2004) Multi-attribute classification method for spare parts inventory management. J Qual Maint Eng 10(1):55–65

Article   Google Scholar  

Syntetos AA, Keyes M, Babai MZ, (2008) Demand categorisation in a European spare parts logistics network. Int J Oper Prod Manag 29(3):292–316. Methoden, Tools. Springer, Heidelberg

Molenaers A, Baets H, Pintelon L, Waeyenbergh G (2011) Criticality classification of spare parts: a case study. Int J Prod Econ 140:570–578

Matyas K (2013) Instandhaltungslogistik: Qualität und Produktivität steigern, 5th edn. Hanser Verlag, München

Flores BE, Whybark DC (1987) Implementing multiple criteria ABC analysis. J Oper Manag 7(1 and 2):79–85

Chu C-W, Liang G-S, Liao C-T (2008) Controlling inventory by combining ABC analysis and fuzzy classification. Comput Ind Eng 55:841–851

Ramanathan R (2004) ABC inventory classification with multiple-criteria using weighted linear optimization. Comput Oper Res 33:695–700

Partovi FY, Anandarajan M (2001) Classifying inventory using an artificial neural network approach. Comput Ind Eng 41:389–404

Ernst R, Cohen MA (1990) Operations related groups (ORGs): a clustering procedure for production/inventory systems. J Oper Manag 9(4):574–598

De Almeida AT (2000) Multicriteria decision making on maintenance: spares and contracts planning. Eur J Oper Res 129:235–241

Petrović D, Petrović R (1992) SPARTA II: further development in an expert system for advising on stocks of spare parts. Int J Prod Econ 24:291–300

Huiskonen J (2001) Maintenance spare parts logistics: special characteristics and strategic choices. Int J Prod Econ 71:125–133

Paaki J, Huiskonen J, Pirttilä T (2010) Improving global spare parts distribution chain performance through part categorization: a case study. Int J Prod Econ 133:164–171

Dekker R, Kleijn MJ, de Rooij PJ (1996) A spare parts stocking policy based on equipment criticality. Int J Prod Econ 56–57:69–77

Porras E, Dekker R (2006) An inventory control system for spare parts at a refinery: an empirical comparison of different re-order point methods. Eur J Oper Res 184:101–132

Botter R, Fortuin L (2000) Stocking strategy for service parts—a case study. Int J Oper Prod Manag 20(6):656–674

Bošnjaković M (2010) Multicriteria inventory model for spare parts. Tech Gaz 17(4):499–504

Gajpal PP, Ganesh LS, Rajendran C (1994) Criticality analysis of spare parts using the analytic hierarchy process. Int J Prod Econ 35:293–297

Sharaf MA, Helmy HA (2001) A classification model for inventory management of spare parts. In: Proceedings of the 7th international conference on production, industrial engineering, design and control, p 375–82

Knut A (2005) Planung und Betrieb von Logistiknetzwerken: Unternehmensübergreifendes supply chain management; mit 27 Tabellen, 2nd edn. Springer Verlag, Berlin

Bose DC (2006) Inventory management. Prentice-Hall of India Private Limited, New Delhi

Schawel C, Billing F (2012) Top 100 management tools: Das wichtigste Buch eines Managers: Von ABC-Analyse bis Zielvereinbarung, 4th edn. Springer Gabler Verlag, Wiesbaden

Skinner DC (2001) Introduction to decision analysis: a practitioner’s guide to improving decision quality, 2nd edn. Probabilistic Publishing, Gainesville

Harker PT (1989) The art and science of decision making: the analytic hierarchy process. In: Golden BL, Wasil EA, Harker PT (eds) The analytic hierarchy process: applications and studies. Springer, New York, pp 3–36

Chapter   Google Scholar  

Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–98

MathSciNet   Google Scholar  

Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48:9–26

Article   MATH   Google Scholar  

Linkov I, Bakr Ramadian A (2004) Comparative risk assessment and environmental decision making. Kluwer Academic Publishers, Dordrecht

Download references

Acknowledgments

This research work was funded by the DFG within the research project “Evaluation and optimization of the serviceability” (LA 2351/23-1). We thank the DFG for promoting and facilitating the research.

Author information

Authors and affiliations.

wbk – Institute of Production Science, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131, Karlsruhe, Germany

J. Stoll, R. Kopf, J. Schneider & G. Lanza

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to J. Stoll .

Rights and permissions

Reprints and permissions

About this article

Stoll, J., Kopf, R., Schneider, J. et al. Criticality analysis of spare parts management: a multi-criteria classification regarding a cross-plant central warehouse strategy. Prod. Eng. Res. Devel. 9 , 225–235 (2015). https://doi.org/10.1007/s11740-015-0602-2

Download citation

Received : 14 October 2014

Accepted : 29 January 2015

Published : 04 February 2015

Issue Date : April 2015

DOI : https://doi.org/10.1007/s11740-015-0602-2

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Spare parts management
• Service networks
• Central warehousing
• Criticality
• Multi-criteria classification
• Find a journal
• Publish with us
• Track your research