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The purpose of this paper is to identify the main reasons for spare parts logistics failures and address logistics distribution design in order to achieve the desired level of after-sales maintenance service.

This research is based on an empirical case study on a large corporation providing worldwide with retail banking hardware, software and services. The case study focuses on the automated teller machine (ATM) part of activities, with a focus on the spare parts distribution and after-sales service network in the Eastern Europe.

The proposed network solution of multiple distribution centers with short-cut distance saving approach will enable the case study company to redesign their spare part logistics architecture in order to achieve short response time. Research findings reveal possible spare parts delivery delays and thus the service-level agreement failures with clients in the case study company.

This research covers a particular supply chain environment and identified research gaps. It discusses a time-based responsive logistics problem and develops a conceptual framework that would help researchers to better understand logistics challenges of installed equipment maintenance and after-sales service.

This case study research shows the “big picture” of spare parts logistics challenges as vital part of installed equipment after-sales and maintenance service network, as well as emphasizes how the unique context of a market like Russian Federation can set-up a distribution network efficiently. Strategies applied to handle such service-level failures, reverse logistics aspects of repairable and non-repairable spare parts to such large ATM after-sales service network based on this longitudinal case offer value for similar scale companies.

Despite the proven benefits of high‐performing spare parts logistics, recommendations on how to organize spare parts logistics in China are rather rare. The absence of spare parts logistics concepts for China is surprising, since the spare part business is the profit pool of the capital goods industry: spare parts create about 17 percent of the industry's total revenue. The margins involved in this spare parts revenue are, on average, 25 percent compared to 2‐3 percent of the capital goods. This paper aims to offer recommendations to increase spare parts logistics performance.

The authors conducted an extensive benchmarking project with a variety of firms (focus group and single case study) in order to gain a better understanding of spare parts logistics in China. By reviewing the first benchmarking findings with a single company that struggled to achieve sufficient spare parts logistics performance, additional insight was gained into how spare parts logistics should be organized in China.

The paper attempts to provide a better understanding of the necessary changes for improving logistics performance in the Chinese market. It analyzes the necessary changes to achieve a cutting‐edge logistics solution, and shows how companies can implement the solution.

Research limitations come from the qualitative nature of the research.

Managers can use the results obtained in this study to challenge their current logistics practices and develop a project procedure on how to initiate logistics projects that lead to cutting‐edge logistics performance.

Rather than concentrating on performance benchmarks of the supply chain of spare parts or specific aspects of spare parts management, the paper develops the setting up of a cutting‐edge logistics solution for China and Asia. The cutting‐edge solution is based on two main pillars: companies should try to develop logistics solutions for Asia that consider existing Asian and Chinese constraints instead of taking the logistics practices used in mature markets and trying to adapt them to the Chinese market, and the development of the logistics solution should be in intensive collaboration with the logistics providers.

A study was conducted on a leading US‐based computer maker to examine its reverse logistics operations in the Asia‐Pacific region. This US company had set up a spare parts business unit in Singapore to take care of the Asia‐Pacific customers for its products, which were still under warranty or service contracts. Defective parts were sent to its US headquarters for refurbishment and repair, and subsequently return to the Asia‐Pacific region. The study revealed a number of interesting findings. These included: about 50 percent of the products returned to the USA cost less than half the reverse logistics costs; the current information technology systems supporting the reverse logistics operations are not used in assisting the company’s managers in making critical decisions but in data collection; and decision making on reverse logistics at each of the company’s Asia‐Pacific offices was inconsistent and lacked standardization. Recommendations were subsequently made to overcome some of the inefficiencies in managing the reverse supply chain.

Spare parts have become ubiquitous in modern societies and managing their requirements is an important and challenging task with tremendous cost implications for the organisations that are holding relevant inventories. An important operational issue involved in the management of spare parts is that of categorising the relevant stock keeping units (SKUs) in order to facilitate decision‐making with respect to forecasting and stock control and to enable managers to focus their attention on the most “important” SKUs. This issue has been overlooked in the academic literature although it constitutes a significant opportunity for increasing spare parts availability and/or reducing inventory costs. Moreover, and despite the huge literature developed since the 1970s on issues related to stock control for spare parts, very few studies actually consider empirical solution implementation and with few exceptions, case studies are lacking. Such a case study is described in this paper, the purpose of which is to offer insight into relevant business practices.

The issue of demand categorisation (including forecasting and stock control) for spare parts management is addressed and details reported of a project undertaken by an international business machine manufacturer for the purpose of improving its European spare parts logistics operations. The paper describes the actual intervention within the organisation in question, as well as the empirical benefits and the lessons learned from such a project.

This paper demonstrates the considerable scope that exists for improving relevant real word practices. It shows that simple well‐informed solutions result in substantial organisational savings.

This paper provides insight into the empirical utilisation of demand categorisation theory for forecasting and stock control and provides some very much needed empirical evidence on pertinent issues. In that respect, it should be of interest to both academics and practitioners.

In this study, the authors explore how novel and relevant technologies can change the overall design of systems, and which factors influence the design of resilient systems in particular. After evaluating the effects of these factors, the authors describe the potential role of AM-supported maintenance operations in military logistics and draw broader conclusions regarding designing for resilience.

The authors build a simulation model of the AM-supported maintenance capability of a mechanised battalion to analyse factors affecting its resilience. AM production capacity specifically refers to metal printing and was verified by data generated from 3D printing of the actual APC parts.

The current AM speed is not able to increase resilience at the depot level, so at present, increasing the spare parts inventory is a better way to improve resilience. However, with future improvements in speed the AM may become feasible in battlefield maintenance.

AM holds great promise in increasing resilience of especially the spare part logistics. At present technology, it is not yet fully realised in the case.

The authors suggest a concrete system performance measure, where reaching a concrete limit, system resilience is lost. The authors present arguments for a definition of resilience where pre-disruption activities are not part of resilience. The authors maintain that simulation, with its ability to include detail, is well-suited in design-for-resilience because supply chains are context dependent and disruptions unexpected.

This article shows the use of benchmarking for the spare parts logistics in the German mechanical industry (investment goods or capital goods). After pointing out the areas of benchmarking application, the use of total function deployment (TFD) for the evaluation of benchmarking metrics is explained. With TFD customer requirements on spare parts supply and the process structure of spare parts logistics are brought together in quality matrices, which are the bases for the metrics derivation. The last paragraph contains the results of a survey in the German mechanical industry. Concrete values of benchmarking metrics from the questioned companies, belonging to metrics on delivery service, costs of logistics and on materials management, are given. All theoretical and empirical results are drawn from a research project conducted in the Institute of Business Administration/Department of Business Management at Darmstadt University of Technology.

The purpose of this paper is to determine how a small country's military force and a small country's non‐governmental organization (NGO) plan for and set up equipment maintenance, spare parts inventories in connection with man‐made humanitarian disasters. Additionally, it seeks to determine how the physical context, organizational structure and governance affect the planning and set‐up.

A research model that combines organizational theory with spare parts inventory theory is developed. Case study research methodology is used and observations and findings are discussed within the research model in order to answer predefined hypotheses.

Regarding planning procedures, as well as how the maintenance concept and spare parts inventory are set up, the research concludes that the organizational structure and governance of the organization contributing to the humanitarian operation in question are more important than physical context of the operation itself. Further it is concluded that the maturity level, when it comes to inventory control issues, is different for the two cases in question. None of the cases, however, utilize modern optimization methods and tools.

Qualitative data from the two case studies give the possibility for in depth analysis of the case study findings. Lack of quantitative data means that it has not been possible to statistically reject or accept the hypotheses. More research is needed to present a template and/or processes based on the findings in the research.

By applying the research model developed in this study, organizations that contribute to humanitarian disasters could more easily assess their own possibility for effective maintenance and spare parts inventory planning and set up.

The study of the planning and set up of maintenance and spare parts inventories for both military and NGO players in connection with a man‐made humanitarian disaster is new. Further, the development of spare parts inventory theory into organizational theory is relatively new. Limited research is available within this field. The paper should be of interest to both practitioners and researchers within the field of maintenance and spare parts inventories in general, and in connection with humanitarian disasters in particular.

The study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns.

This work evaluates various AM-enabled supply chain configurations through Monte Carlo simulation. Historical demand simulation and intermittent demand forecasting are used in conjunction with a mixed integer linear program to determine optimal network nodal inventory policies. By varying demand characteristics and AM capacity this work assesses how to best employ AM capability within the network.

This research assesses the preferred AM-enabled supply chain configuration for varying levels of intermittent demand patterns and AM production capacity. The research shows that variation in demand patterns alone directly affects the preferred network configuration. The relationship between the demand volume and relative AM production capacity affects the regions of superior network configuration performance.

This research makes several simplifying assumptions regarding AM technical capabilities. AM production time is assumed to be deterministic and does not consider build failure probability, build chamber capacity, part size, part complexity and post-processing requirements.

This research is the first study to link realistic spare part demand characterization to AM supply chain design using quantitative modeling.

Effective service logistics can lower the cost and increase service value by improving customer satisfaction and loyalty. However, the conventional ways of the service logistics are information driven instead of knowledge‐driven which are insufficient to meet the current needs. The purpose of this paper is to present a knowledge‐based service automation system (KBSAS) to enhance the competitiveness for manufacturing enterprises in service logistics.

The KBSAS incorporates various artificial intelligence technologies such as case‐based reasoning which is used for achieving four perspectives of knowledge acquisition, service logistics, service automation and performance measurement, respectively.

A prototype customer service portal has been built based on the KBSAS and implemented successfully in a semi‐conductor equipment manufacturing company. It is verified that the KBSAS provides high quality customer services with fast and efficient customer responses. It also allows the company to capture the valuable experience and tacit knowledge of the staff in performing customer and field services.

The KBSAS yields a number of advantages over conventional service logistics which include streamlining the service logistics process; performance measurement; reduction of paper work; the provision of 24 hours worldwide automatic customer service supported by the verified knowledge base established in the date time operations as well as the driving for continuous improvement of customer service quality.

The paper presents the development and successful implementation of a KBSAS which allows for the capture of the valuable experience and tacit knowledge of the staff in performing customer and field services.

One of the significant features of modern economies is the extensive use of technical equipment throughout production and consumption. Defects and malfunctioning of technical products result in various extra costs in terms of interrupted production as well as lost utility and additional expenses in private households. These consequences of product failures are amplified by the interdependencies within our economic system. Following an initiative by the Federal Association of Logistics Germany (Bundesvereinigung Logistik e.V.) an investigation of spare part logistics systems (SPLSs) in a number of West German industries was just completed. The research concentrated particularly on car, truck, and farming vehicle manufacturing, household appliances, audio and television equipment, and machinery. Our attention was focused on the structure and the functioning of SPLSs, in particular, whether to make or to buy a SPLS, which efficiency standards are employed and what kind of reorganisation had taken place during recent years.