Power Plant Spare Parts Inventory Determination Using Modified Multi-criteria Classification and the Semi-Delphi Methods

被引：0

作者：

Farizal ^{[1
]}

Taurina, Zarahmaida ^{[1
]}

Endrianto, Ennol ^{[1
]}

Nurcahyo, Rahmat ^{[1
]}

Yassierli ^{[2
]}

机构：

[1] Univ Indonesia, Fac Engn, Kampus Baru UI, Depok 16424, Indonesia

[2] Bandung Inst Technol, Fac Ind Technol, Kampus Ganesha, Bandung 40132, Indonesia

来源：

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2024年

关键词：

Inventory planning; Maintenance; Dual-fuel power plant; Emergency spare parts; Classification method; Semi-Delphi approach; PREVENTIVE MAINTENANCE; DECISION-MAKING; MANAGEMENT; SYSTEMS; OPTIMIZATION; DEMAND; MODEL; STRATEGY; INDUSTRY; LOAD;

D O I：

10.1007/s13369-024-09813-w

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Energy production of a power plant is significantly affected by the availability of spare parts for machinery operation and maintenance (O&M). The availability of spare parts prevents prolonged breakdown and maintenance. However, even though some quantitative methods exist to determine the number of spare parts, to avoid the events occurring, generally companies follow manufacturer recommendation that leads to depositing a large number of spare parts. Retaining excessive stocks increases inventory costs. This paper presents a novel methodology to determine the type and number of spare parts of a power plant. The methodology, which is a blending of quantitative (modified multi-criteria classification method) and qualitative (semi-Delphi approach) methods, offers a practical way that even can be exercised with paper and pencil and a simple calculator, but sound. The methodology provides a significant inventory saving. A case study of dual-fuel power plants showed that the number of spare parts recommended was less than the number currently stocked by the company. The percentage is reduced to similar to 70% with cost saving on average 6.1%. The proposed methods suggested stocking parts categorized into H (highly required) and M (recommended) types of spare parts only.

引用

页数：20

共 70 条

[1] Dhillon B.S., Engineering maintenance, a modern approach, (2002)
[2] Amachree T.T., Apkan E.O.P., Ubani E.C., Okorocha K.A., Eberendu A.C., Inventory management strategies for productivity improvement in equipment manufacturing firms, Int. J. Sci. Technol. Res, 6, 8, pp. 99-107, (2017)
[3] Tasdemir C., Hiziroglu S., Achieving cost efficiency through increased inventory leanness: evidences from oriented strand board (OSB) industry, Int. J. Prod. Econ, 208, pp. 412-423, (2019)
[4] Chen J., Gusikhin O., Finkenstaedt W., Liu Y.N., Maintenance, repair, and operations parts inventory management in the era of industry 4.0, IFAC Papers Online, 52, pp. 171-176, (2019)
[5] Macchi M., Fumagalli L., Iung B., Stock management of emergency spare parts for production lines in a multi-site context, (2011)
[6] Kennedy W.J., Patterson J.W., Fredendall L.D., An overview of recent literature on spare part inventories, Int. J. Prod. Econ, 76, 2, pp. 201-215, (2002)
[7] Sebatjane M., Sustainable inventory models under carbon emissions regulations: taxonomy and literature review, Comput. Oper. Res, 173, (2025)
[8] Bushuev M.A., Guiffrida A., Jaber M.Y., Khan M., A review of inventory lot sizing review papers, Manag. Res. Rev, 38, 3, pp. 283-298, (2015)
[9] Pennings C.L.P., van Dalen J., van der Laan E.A., Exploiting elapsed time for managing intermittent demand for spare parts, Eur. J. Oper. Res, 258, 3, pp. 958-969, (2016)
[10] Zorgdrager M., Verhagen W.J., Curran R., An evaluation of forecasting methods for aircraft non-routine maintenance material demand, Int. J. Agile Syst. Manage, 7, 3-4, pp. 383-402, (2014)

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