An inventory pooling model for spare units of critical systems that serve multi-companies

Wang, Wenbin; Yue, Shuai

doi:10.1016/j.tre.2015.02.002

Cited by 11 publications

(8 citation statements)

References 17 publications

(16 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AHP has ability to structure and cluster all factors in a hierarchical manner to deal with the complex nature of a problem (Naesens et al, 2009;Subramanian and Ramanathan, 2012). As shown in the findings and literature review sections, inventory strategy selection for aircraft spare part is a complex decision-making problem due to the stockout cost and their implications (Erkoc and Ertogal, 2016), the stringent regulation (Vieira and Loures, 2016), the spare part price (de Souza et al, 2011), the long lead time and the unscheduled removal (Wang and Yue, 2015), hence is a good candidate to test AHP solutions. Unlike other decision-making method, AHP can cope with the complexity of the problem thanks to its hierarchical structure and its pairwise comparison concept (Saaty, 2008).…”

Section: Rq2mentioning

confidence: 99%

“…Some aircraft parts are very expensive and critical, for example, wheels and brakes can cost USD 4 million (de Souza et al, 2011). Some of them have long lead times and high variation of the 'Mean Time Between Unscheduled Removal' (MTBUR) according to Wang and Yue, (2015). Hence, an excess spare part inventory requires a significant amount of capital investment and can impede cash flow, which should be avoided (Gu et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Testing an AHP model for aircraft spare parts

Nariswari¹,

Bamford

Dehe

2019

Production Planning & Control

View full text Add to dashboard Cite

This research aims to develop and test a practical and precise multi-criteria classification of aircraft spare part inventory management, using the Analytical Hierarchy Process (AHP), in order to maintain aircraft operational availability and to reduce unnecessary downtime. In this study, a multi-criteria model is developed within a large-scale aircraft maintenance and repair firm, in Indonesia. Spare parts data was extracted from the inventory system and analysed to triangulate the model outcome, demonstrate its validity and compare the results against the mathematical results generated by the system's algorithm. The findings suggest that AHP can lead to a transparent, rapid and systematic classification model, this is highly accurate and precise with an outcome comparable to traditional methods. The conclusion proposes that the AHP classification model is more effective and transparent than the currently available mathematical methods. This research contributes to the development of the multi-criteria inventory classification literature in the context of the aviation industry.

show abstract

Section: Rq2mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Testing an AHP model for aircraft spare parts

Nariswari¹,

Bamford

Dehe

2019

Production Planning & Control

View full text Add to dashboard Cite

show abstract

“…Li et al (2014) demonstrate that the performance of collaborative planning for a logistics hub is superior to that resulting from decisions taken separately by suppliers and manufacturers. Wang and Yue (2015) develop a decision making model to determine the number of companies in a coalition that can share the storage cost of spare units. Kim and Benjaafar (2002) examine the benefits of inventory pooling in systems with finite capacity.…”

Section: Logistics Poolingmentioning

confidence: 99%

“…For example, Ballot & Fontane (2010) show that transport pooling allows reducing CO 2 emissions by 25%. Wang & Yue (2015) develop a decisionmaking model to determine the number of companies from a coalition to share the storage cost of such spare units.…”

Section: Pooled Warehousementioning

confidence: 99%

Pooled warehouse management: An empirical study

Makaci

Reaidy

Samuel

et al. 2017

Computers & Industrial Engineering

View full text Add to dashboard Cite

International audienceToday, pooled warehouse presents a major issue for supply chain actors. Managing such structures establishes a more complex and little known actions system. In this paper, we provide the main specificities of a pooled warehouse examined from the perspectives of both a literature review and an exploratory qualitative study built on seven cases in France. This study is based on semi-structured interviews with 22 companies managing projects in the field of pooled warehouses. From this qualitative analysis, we distinguish the main characteristics of pooled warehouses, such as compatibility and partner maturity, shared Vendor Managed Inventory, and collaborative management. In addition, we identify new key performance indicators, uncertainty sources and risks of pooled warehouses. This work helps define pooled warehouse concept and brings practitioners a better understanding of how it can be managed. Furthermore, it allows researchers to develop new models of optimization considering the pooling context

show abstract

“…Several research streams can be found about the number and the location of central warehouses as well as the associated demand assignments in order to optimize holding and distribution costs (Lee and Jeong, 2009), the number of companies that should take part in a centralization initiative (Wang and Yue, 2015), the drivers for warehouse centralization (Pedersen et al, 2012), the potential of warehouse centralization to mitigate supply and demand risks (Schmitt et al, 2015), the impacts of allocation rules on inventory and service levels (Alptekinoğlu et al, 2012;Çelebi, 2015;Wanke and Saliby, 2009) and the allocation of costs and benefits among the parties involved in warehouse centralization (Karsten and Basten, 2014;Wong et al, 2007).…”

Section: Warehouse Centralizationmentioning

confidence: 99%

Paving the Way for Warehouse Centralization in Healthcare: A Preliminary Assessment Approach

Cagliano¹,

Grimaldi²,

Rafele³

2016

American Journal of Applied Sciences

View full text Add to dashboard Cite

Centralized logistics management is currently one interesting option for healthcare systems facing an increasing need to improve responsiveness and service quality while reducing costs. This work focuses on one aspect of centralized logistics, namely warehouse centralization and proposes a preliminary approach to assess material management in healthcare institutions as a first step towards decisions about the implementation of such a strategy. A list of variables and relationships between them characterizing warehouse material management are identified based on a literature review and knowledge of real logistics processes. Statistical analysis is then applied to assess the existence of such relationships in a set of healthcare organizations in order to understand the management commonalities that can stimulate warehouse centralization as well as the criticalities that could potentially hinder it. The approach is tested in a healthcare logistics system in Northern Italy. The results proved the ability of the methodology to identify the relevant issues the involved institutions need to work on when undertaking warehouse centralization strategies. The case warehouses revealed a good degree of commonalities in their management practices although three critical aspects were identified, namely a limited efficiency in human resource allocation, a high fragmentation of stock product demand and a relevant number of stock products with low annual demand. This work provides a methodology to increase material managers' awareness about the factors enabling successful centralized inventory strategies in the healthcare sector.

show abstract

An inventory pooling model for spare units of critical systems that serve multi-companies

Cited by 11 publications

References 17 publications

Testing an AHP model for aircraft spare parts

Testing an AHP model for aircraft spare parts

Pooled warehouse management: An empirical study

Paving the Way for Warehouse Centralization in Healthcare: A Preliminary Assessment Approach

Contact Info

Product

Resources

About