Spare parts inventory and cycle time reduction

Schultz, Carl R.

doi:10.1080/00207540310001626210

Cited by 27 publications

(11 citation statements)

References 11 publications

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“…Service levels . Inventory levels Aronis et al (2004), Ashayeri et al (1996), Caglar et al (2004), Chang et al (2005), Cohen et al (1989Cohen et al ( , 1990Cohen et al ( , 1999, Dekker et al (1998), Diaz (2003, Fortuin (1980Fortuin ( , 1981, Hollier (1980), Kalchschmidt et al (2003), Kennedy et al (2002), Liu and Lee (2007), Schultz (2004), Sleptchenko et al (2005), Suomala et al (2002Suomala et al ( , 2004, Thonemann et al (2002), Wong et al (2005) 398 S.M. Wagner and E. Lindemann In the past three decades, literature on the planning and operational level of spare parts in most cases has focused on the determination of the optimal inventory level for parts (Huiskonen 2001, Kennedy et al 2002.…”

Section: Decisions On the Planning And Operational Levelmentioning

confidence: 99%

A case study-based analysis of spare parts management in the engineering industry

Wagner

Lindemann

2008

Production Planning & Control

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Eroding margins for primary products have redirected many firms' attention to the highly profitable spare parts business. These firms push for increased sales and more efficient spare parts supply chains. However, previous research in spare parts supply chain management has principally been limited to planning and operational aspects such as the determination of spare parts inventory levels and re-order policies. Taking the sellers' perspective in the supply chain, the primary objective of the case study research presented in this article is to better understand the problems that engineering companies encounter and approaches that they adopt in their spare parts supply chains. The initial proposition, that engineering companies need to, and are eager to, adopt supply chain management practices in their spare parts businesses in order to capture revenue and profit potential, is supported. Among the key areas for improvement are the formulation of spare parts strategies, a better understanding of the installed base, and top management support for the spare parts business.

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Section: Decisions On the Planning And Operational Levelmentioning

confidence: 99%

A case study-based analysis of spare parts management in the engineering industry

Wagner

Lindemann

2008

Production Planning & Control

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“…Assuming that parts failed infrequently according to a Poisson process, they formulated a model to minimise the system-wide inventory cost subjected to a response time constraint at each field depot. Schultz (2004) demonstrated how the mean and variance of machine repair or down time affected cycle times at a given workstation and downstream workstations with existing closed-form approximation methods. Then, he presented a methodology for base stock parameters selection, while considering the trade-off between reduced cycle times and inventory investment.…”

Section: Literature Reviewmentioning

confidence: 99%

Production planning model with simultaneous production of spare parts

Cyplik

Hadaś

Fertsch

2009

International Journal of Production Research

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The paper presents, proposed by the authors, a production planning model with simultaneous production of identical components for the need of own assembly and as spare parts in machine industry plants. The model was based on literature studies and the authors' own conclusions drawn during the research works carried out in Grundfos Pompy Ltd. The proposed production planning model has been based on the classical stock management theory and material requirement planning methods. It results in merging production management and stock management in a one coherent material flow management system. The evaluation of the proposed model was made based on its empirical verification in the environment of the machine industry plant mentioned above. The results turned out to be very promising -the value of spare parts stock was reduced by nearly 50%.

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“…Thus, bottleneck control in real time production [17] [18], prioritizing truck and excavator preventive maintenance [19], spare parts inventory for maintenance, optimization of initial buffer adjustment [20], reduction of machine setup time [21], and predicting order lead times [22], can lead to production improvement and cycle time reduction as trucks will come back to operations faster following breakdown, thus giving high truck availability [23] [24] [25] [26]. Moreover, the possibility of reducing cycle times in mass production by input and service rate smoothing has also been reported in literature [27].…”

Section: Cyclic Nature Of Waste Rock Transportation System In Anmentioning

confidence: 99%

Analysis of Waste-Rock Transportation Process Performance in an Open-Pit Mine Based on Statistical Analysis of Cycle Times Data

Manyele¹

2017

ENG

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In this paper, the performance of a waste rock transportation process in an open pit mine was assessed by using cycle time data. A computerized truckexcavator dispatch system was used to record the cycle times. The process was broken into seven steps (or components of the total cycle), durations of which were recorded for a period of 1 month, leading to N = 60,690 data points or dispatches. The open pit mine studied consisted of 12 waste types loaded by 14 excavators and hauled by 49 trucks (at a trucks-to-excavator ratio of 3.5:1) in 75 changing locations. The string-type data was coded using integers to allow a FORTRAN code to extract process performance parameters using statistical analysis. The study established a wide range of parameters including: the waste material generation rate (about 1.73 million t/month, 81% comprising waste rock), truck fill factor, f, total cycle time (T ct ), production capacity, theoretical cycle time, non-productive cycle time T np , and cycle time performance ratio (CTPR), denoted as T pr . The factors affecting the process performance include: truck model, excavator model, location (haul distance and road conditions) and material type. For a fixed material type and tonnage, the PDFs of the cycle time components were logarithmic in nature, capable of differentiating performance variations under different factors. It was concluded that the performance of the waste material transportation system in this mine was determined to be acceptable due to mean value of T pr = 2.432 being closer to unity. Reduction measures were suggested to minimize the cycle time for the process bottlenecks determined from Pareto analysis (that is, full haul, empty haul and loading processes).

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Spare parts inventory and cycle time reduction

Cited by 27 publications

References 11 publications

A case study-based analysis of spare parts management in the engineering industry

A case study-based analysis of spare parts management in the engineering industry

Production planning model with simultaneous production of spare parts

Analysis of Waste-Rock Transportation Process Performance in an Open-Pit Mine Based on Statistical Analysis of Cycle Times Data

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