scholarly journals FACTORS INFLUENCING SPARE PARTS MANAGEMENT IN THE AUTOMOTIVE INDUSTRY

Author(s):  
N. Pawłowska-Kalinowska ◽  
A. Stachowiak
2016 ◽  
Vol 9 (5) ◽  
pp. 991 ◽  
Author(s):  
Orlando Duran ◽  
Irene Roda ◽  
Marco Macchi

Purpose: This manuscript explores the link between Spare Parts Management and Total Costs of Ownership or Life Cycle Costs (LCC).Design/methodology/approach: First, this work enumerates the different managerial decisions instances in spare parts management that are present during the life cycle of a physical asset. Second, we analyse how those decision instances could affect the TCO of a physical asset (from the economic point of view). Finally, we propose a conceptual framework for incorporating the spare parts management into a TCO model.Findings: The recent literature lacks discussions on the integration of spare parts management with the Total Costs of Ownership (TCO). Based in an extensive literature revision we can declare that the computation of costs related to spare parts management has been neglected by TCO models.Originality/value: The contribution of this paper is twofold. First, a literature review and identification of a series of spare parts management decision instances and its relationship with TCOs is presented in this paper. Second, a conceptual framework is suggested for linking those decisions instances to a total cost of ownership perspective. Some research questions and future research challenges are presented at the end of this work.


Author(s):  
Dhaul Fathoni ◽  
Johan Krisnanto Runtuk

PT.S is a metal pressing company that produces spare parts for the automotive industry. The increasing number of new companies, encouraging the company to make improvements continously, one of which is by reducing the processing time. The problem that occurs is the frequent occurrence of late pulling stocks in the finished product inventory area. One of them occurs in the Cap product (C1805-009) within a period of 6 months (October 2017 to March 2018) 16 times the stockout in the finished product inventory area. In addition, an increase in demand requires companies to do various ways, including adding four inspectors on each shift. This study aims to analyze the flow of production processes and waste of time with a simulation approach. Based on the simulation results using the Promodel software, it is known that the work station that is the cause of flow congestion is the inspection work station. Proposed improvements in simulation results also showed improvements, namely the reduction of processing time by 330.66% and the reduction in the number of operators by 50%. The simulation results can be considered by PT. S to improve the flow of the Cap product manufacturing process (C1805-009).


2012 ◽  
Vol 619 ◽  
pp. 425-430
Author(s):  
Chang Su ◽  
Wei Jia Su

The fire accident of heavy mineral self-dumping truck is one of the most serious disaster in mine safety production. Research on the reasons that cause fire accident is an important study for ensuring safety production. By analyzing three elements that constitute self-dumping truck fire accident, the characteristics and easy ignition points as well as major combustion parts of self-dumping truck fire accident, we confirm that the hydraulic system leakage is the major factor that causes fire. To find out the fault reason of hydraulic system oil leakage, we analyze the composition and working principle of self-dumping truck, establish leakage fault tree of hydraulic system. Based on logic relationships between each fault and fire, we get the following conclusion: hydraulic tubing damage is the highest probability event that causes oil leakage fault. In addition, we should pay attention to spare parts management factor, correct driving factor and equipment management factor. We also propose the prevention measures of leakage and fire


2011 ◽  
Vol 403-408 ◽  
pp. 1262-1265
Author(s):  
Shan Jiang ◽  
Fei Xu ◽  
Shu Qing Fan ◽  
Ying Jiang ◽  
Yu Zhang ◽  
...  

This article is based on the ordinary ABC classification, uses the improved ABC classification to classify the company’s equipment and spare parts, and combine the results of those classifications to give the final conclusion. This classification is much better than the ordinary one, for it considers more important facts affecting manufacturing. This article uses Fuzzy Evaluation Analysis to classify its unique spare parts, and establishes the excess spare parts model to decrease quantities of the spare parts and therefore save the fluid funds of the company.


Author(s):  
Wijckmans Frank ◽  
Tuytschaever Filip

This chapter addresses the specific block exemption regime that applies to the automotive industry. The relevant regime is contained in Regulation 461/2010. Different from past practice, Regulation 461/2010 closely resembles the general block exemption (Regulation 330/2010) and limits itself to adding certain hardcore restrictions applicable in the secondary markets. The chapter provides an overview of the impact of the block exemption from the perspective of the various stakeholders active in the sector. It then goes on to describe separately the block exemption principles governing the distribution of motor vehicles, the provision of after-sales services, and the distribution of spare parts.


2020 ◽  
Vol 28 (1) ◽  
pp. 72-84 ◽  
Author(s):  
Sofiene Dellagi ◽  
Wajdi Trabelsi ◽  
Zied Hajej ◽  
Nidhal Rezg

This study develops an analytical model in order to determine an optimal integrated maintenance plan and spare parts management. We consider a manufacturing system, producing only one type of product, over a finite planning horizon H equal to the sum of all production periods and the production quantity of each period is known. This system is subject to a continuously increasing degradation rate. That is why a preventive maintenance strategy is adopted in order to face the increasing failure rate. We noted that contrarily to the majority of studies in literature, we take into account the impact of the production rate variation on the manufacturing system degradation and consequently on the adopted optimal maintenance strategy. In addition, the real need of spare parts relative to the scheduled maintenance actions is taken into account. In fact, the purpose of our study consists at determining the optimal preventive maintenance frequency and the optimal quantity of spare parts to order by minimizing a total cost, including maintenance and spare parts management. Numerical examples are presented along with a sensitivity study in order to prove the use of the developed model for deriving the optimal integrated strategy for any instance of the problem.


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