scholarly journals Evaluation and selection of auto spare parts suppliers in supply chain

Author(s):  
Rong Zeng
2010 ◽  
Vol 21 (2) ◽  
pp. 226-245 ◽  
Author(s):  
Harry Martin ◽  
Aris A. Syntetos ◽  
Alejandro Parodi ◽  
Yiannis E. Polychronakis ◽  
Liliane Pintelon
Keyword(s):  

2019 ◽  
Vol 25 (3) ◽  
pp. 473-487 ◽  
Author(s):  
Yuan Zhang ◽  
Stefan Jedeck ◽  
Li Yang ◽  
Lihui Bai

PurposeDespite the widespread expectation that additive manufacturing (AM) will become a disruptive technology to transform the spare parts supply chain, very limited research has been devoted to the quantitative modeling and analysis on how AM could fulfill the on-demand spare parts supply. On the other hand, the choice of using AM as a spare parts supply strategy over traditional inventory is a rising decision faced by manufacturers and requires quantitative analysis for their AM-or-stock decisions. The purpose of this paper is to develop a quantitative performance model for a generic powder bed fusion AM system in a spare parts supply chain, thus providing insights into this less-explored area in the literature.Design/methodology/approachIn this study, analysis based on a discrete event simulation was carried out for the use of AM in replacement of traditional warehouse inventory for an on-demand spare parts supply system. Generic powder bed fusion AM system was used in the model, and the same modeling approach could be applied to other types of AM processes. Using this model, the impact of both spare parts demand characteristics (e.g. part size attributes, demand rates) and the AM operations characteristics (e.g. machine size and postpone strategy) on the performance of using AM to supply spare parts was studied.FindingsThe simulation results show that in many cases the AM operation is not as cost competitive compared to the traditional warehouse-based spare parts supply operation, and that the spare parts size characteristics could significantly affect the overall performance of the AM operations. For some scenarios of the arrival process of spare parts demand, the use of the batched AM production could potentially result in significant delay in parts delivery, which necessitates further investigations of production optimization strategies.Originality/valueThe findings demonstrate that the proposed simulation tool can not only provide insights on the performance characteristics of using AM in the spare parts supply chain, especially in comparison to the traditional warehousing system, but also can be used toward decision making for both the AM manufacturers and the spare parts service providers.


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Guorong Chen ◽  
Jiangyuan Zhao ◽  
Juli Deng

Service-oriented manufacturing is the new development of manufacturing systems, and manufacturing supply chain service is also an important part of the service-oriented manufacturing systems; hence, the optimal selection of parts suppliers becomes one of key problems in the supply chain system. Complex network theories made a rapid progress in recent years, but the classical models such as BA model and WS model can not resolve the widespread problems of manufacturing supply chain, such as the repeated attachment of edge and fixed number of vertices, but edges increased with preferential connectivity, and flexible edges’ probability. A core model is proposed to resolve the problem in the paper: it maps the parts supply relationship as a repeatable core; a vertex’s probability distribution function integrating the edge’s rate and vertex’s degree is put forward; some simulations, such as the growth of core, the degree distribution characteristics, and the impacting of parameter, are carried out in our experiments, and the case study is set also. The paper proposed a novel model to analyze the manufacturing supply chain system from the insights of complex network.


2018 ◽  
Vol 24 (7) ◽  
pp. 1178-1192 ◽  
Author(s):  
Siavash H. Khajavi ◽  
Jan Holmström ◽  
Jouni Partanen

PurposeInnovative startups have begun a trend using laser sintering (LS) technology patents expiration, namely, by introducing LS additive manufacturing (AM) machines that can overcome utilization barriers, such as the costliness of machines and productivity limitation. The recent rise of this trend has led the authors to investigate this new class of machines in novel settings, including hub configuration. There are various supply chain configurations to supply spare parts in industrial operations. This paper aims to explore the promise of a production configuration that combines the benefits of centralized production with the flexibility of local manufacturing without the huge costs related to it.Design/methodology/approachThis study quantitatively examines the feasibility of different AM-enabled spare parts supply chain configurations. Using cost data extracted from a case study, three scenarios per AM machine technology are modeled and compared.FindingsResults suggest that hub production configuration depending on the utilized AM machines can provide economic efficiency and effectiveness to reduce equipment downtime. While previous studies have suggested the need for AM machines with efficiency for single part production for a distributed supply chain, the findings in this research illustrate the positive relationship between multi-part production capability and the feasibility of a hub manufacturing configuration establishment.Originality/valueThis study explores the promise of a production configuration that combines the benefits of centralized production with the flexibility of local manufacturing without the huge costs related to it. Although the existing body of knowledge contains research on production decentralization, research on various levels of decentralization is lacking. Using a real-world case study, this study aims to compare the feasibility of different levels of decentralization for AM-enabled spare parts supply chains.


Author(s):  
Jinesh K. Jain ◽  
G. S. Dangayach ◽  
G. Agarwal ◽  
Soumya Banerjee ◽  
Partha Dey

2018 ◽  
Vol 25 (3) ◽  
pp. 458-484 ◽  
Author(s):  
Geraldo Cardoso de Oliveira Neto ◽  
Moacir Godinho Filho ◽  
Marilson Alves Gonçalves ◽  
Benny Kramer Costa ◽  
Dirceu da Silva ◽  
...  

Abstract The process of Outsourcing Logistics Service (OLS) is deemed incipient in the management of organizations, not only because of the operational problems it presents, but also of its difficulties fitting into the company’s overall strategy. The present theoretical study, building on the resource-based view of the firm, aims to propose a framework that guides managers in developing strategies to OLS starting from the operational structure to establish the necessary resources, capabilities, and routines. In addition, taken into account is the importance of analyzing risks and resilience in the environment, concomitantly with the analysis of the operational structure. Thus, four questions were developed, aimed at leading operations managers to reflect on the development of the strategy. The framework proposed for OLS considers the supply chain management department as the main interlocutor of the strategy. This framework can be adapted according with the necessity of the contracting company, and its main intention is to enable the establishment of a project that contemplates the necessary resources, the capabilities (criteria), and the operational routines (subcriteria) for the selection of a logistics service provider in the market, one which truly addresses the needs of the organization. This framework is already intrinsic in the practical actions of the authors, because of their extensive advisory activity over the last five years in OLS to logistics service provider. In addition, it is worth mentioning that so far in the tacit applications of this framework there has been no application similar to another.


Sign in / Sign up

Export Citation Format

Share Document