Customer Information Driven After Sales Service ... - RePub
Customer Information Driven After Sales Service ... - RePub
Customer Information Driven After Sales Service ... - RePub
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1. Introduction<br />
in Section 1.2, none of the data sources in real life is perfect. Therefore, we also study<br />
the impact of varying IB data quality on the after sales service management decisions<br />
that are under-consideration. The contributions of our research are as follows:<br />
1. We devise solution methods that enable us to meet the varying service needs of<br />
a heterogeneous customer base in after sales service. As mentioned in Section<br />
1.3.1, we focus on spare parts logistics planning and execution. The provision<br />
of differentiated services to a heterogeneous customer base is conceptually similar<br />
to demand management or revenue management. The key idea in these subjects<br />
is to observe the demand of a segmented customer base and match the available<br />
resources to the segmented demand for service fulfillment. In this thesis, we follow<br />
similar ideas to devise solution methods for spare parts logistics.<br />
2. We study the value of IB information for spare parts logistics by comparing the<br />
value addition induced by IB enriched decision making to the baseline situation.<br />
The baseline situation represents decision making without utilizing the IB data.<br />
We also study the potential impact of varying IB data quality. We should mention<br />
that the value of information is contextual and relies on the ability of the decision<br />
maker to use the information for potential gains. In this thesis, we assume the<br />
decision maker to be rational and we do not account for any behavioral aspects of<br />
the decision making situation.<br />
These research contributions are the result of studying a variety of research problems.<br />
We shall discuss the details of the associated research problems in Sections 1.4 and 2.8.<br />
First, we discuss the research methods utilized in this thesis.<br />
1.3.3 Research Methods<br />
Many researchers have emphasized the importance of empirical input to enhance the<br />
practicality and relevance of supply chain management and operations management research.<br />
In line with the discussions by Boyer and Swink (2008); Fisher (2007); Meredith<br />
et al. (1989); Flynn et al. (1990); Bertrand and Fransoo (2002), the approach we take in<br />
this thesis is heavily influenced by the ground realities in spare parts logistics. We aim to<br />
combine practice and theory by using a two dimensional approach. We examine the after<br />
sales service academic literature simultaneously with the business trends in after sales<br />
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