scholarly journals Dynamic Customer Service Levels: Evolving Safety Stock Requirements for Changing Business Needs

2020 ◽  
pp. 27-66
Author(s):  
Daniel Patrick Covert ◽  
Joaquin Alberto Ortiz Millan ◽  
Tugba Efendigil
Author(s):  
Tanuj Sood

Today's retail environment has become extremely competitive with retailers offering low prices almost on daily basis through various promotional techniques. Majority of their products placed on their shelves are promoted to boost sales, compete efficiently and gain market share. Retailers have a natural tendency to keep a very close watch on various costs in whichever way they can be curtailed or controlled. Costs like Labor, Transportation, Vendor Deals and Inventory reduction are some of the key areas that are tracked and renegotiated very frequently by retailers worldwide. Safety Stock holding is one critical area where a lot of work can be done “empirically” by retailers and distributors to create stock efficiencies across their established supply chain networks. Application of appropriate statistical techniques on the right set of products can help us getting a trimmed down safety stock numbers which are still capable in addressing the demand and supply variability while holding much lesser stock and still achieve greater customer service levels.


2011 ◽  
Vol 48 (1) ◽  
Author(s):  
Dina Ribbink ◽  
Christian Hofer ◽  
Martin Dresner

An investigation is conducted on the effect of financial distress on customer service levels in the U.S. airline industry. Using data from the first quarter of 1998 to the third quarter of 2006, we employ a seemingly unrelated regressions (SUR) model to analyze the impact of financial distress on three measures of customer service. We find that higher financial distress is associated with better on-time performance of airlines and fewer lost bags. The relationship of airline financial distress to the number of bumped customers, however, is insignificant.


Author(s):  
Gabrielle Gauthier Melançon ◽  
Philippe Grangier ◽  
Eric Prescott-Gagnon ◽  
Emmanuel Sabourin ◽  
Louis-Martin Rousseau

Despite advanced supply chain planning and execution systems, manufacturers and distributors tend to observe service levels below their targets, owing to different sources of uncertainty and risks. These risks, such as drastic changes in demand, machine failures, or systems not properly configured, can lead to planning or execution issues in the supply chain. It is too expensive to have planners continually track all situations at a granular level to ensure that no deviations or configuration problems occur. We present a machine learning system that predicts service-level failures a few weeks in advance and alerts the planners. The system includes a user interface that explains the alerts and helps to identify failure fixes. We conducted this research in cooperation with Michelin. Through experiments carried out over the course of four phases, we confirmed that machine learning can help predict service-level failures. In our last experiment, planners were able to use these predictions to make adjustments on tires for which failures were predicted, resulting in an improvement in the service level of 10 percentage points. Additionally, the system enabled planners to identify recurrent issues in their supply chain, such as safety-stock computation problems, impacting the overall supply chain efficiency. The proposed system showcases the importance of reducing the silos in supply chain management.


Author(s):  
Bjørnar Aas ◽  
Stein W. Wallace

Logistics problems are gradually becoming more complex and a better understanding of logistics management as a subject is a key to deal with the new challenges. A core element of logistics management is logistics planning, which substitutes for low customer service levels, high waste, and the use of buffers and slacks in the execution of logistic activities. Furthermore, the availability of information and problem-solving capabilities are established as the core parts of logistics planning. Based on this, in this paper, a conceptual model for the management of logistics planning is proposed and discussed. In this regard, the model is built on ideas from microeconomics.


2016 ◽  
pp. 1585-1610
Author(s):  
Deniz Tuncalp

There are a number of risk domains that are relevant for information privacy and security in cloud-based scenarios and alternative deployment models, which require implementation of a number of controls. However, cloud service providers often take a one-size-fits-all approach and want all their customers to accept the same standardized contract, regardless of their particular information security and legal compliance needs. Taking ISO 27001 Information Security Management standard as a guide, we have employed the Delphi method with a group of cloud computing experts from around the world who are subscribed to the “Cloud Computing” group on LinkedIN to identify the most applicable controls in a generic cloud service provider – customer context. Based on these results, we use a sample of cloud computing customer service agreement as a case study to further discuss related contingencies. As a result, this chapter argues that a more balanced approach is needed in service contracts to ensure the maintenance of necessary service levels and the protection of cloud users.


Author(s):  
Paul F. Schikora ◽  
Michael R. Godfrey ◽  
Brian D. Neureuther

Managing customer service is critical for both nonprofit and for-profit dial-up modem Internet service providers. When system operators face excess demand, they can either add capacity or adapt their management techniques to deal with their limited resources—this article considers the latter. We examine system configuration options and the resultant effects on customer service levels in a simulated dial-up modem pool operation. Specifically, we look at a single pool operation and examine the effects of imposing time limits in a seriously overloaded system. We analyze the results on several key customer service measures. The results show that imposing these limits will have a distinct, nonlinear impact on these measures. Customer productivity and actual system load are shown to have major impacts on the performance measures. Interactions between several system and environmental parameters are also discussed.


Author(s):  
Bjørnar Aas ◽  
Stein W. Wallace

Logistics problems are gradually becoming more complex and a better understanding of logistics management as a subject is a key to deal with the new challenges. A core element of logistics management is logistics planning, which substitutes for low customer service levels, high waste, and the use of buffers and slacks in the execution of logistic activities. Furthermore, the availability of information and problem-solving capabilities are established as the core parts of logistics planning. Based on this, in this paper, a conceptual model for the management of logistics planning is proposed and discussed. In this regard, the model is built on ideas from microeconomics.


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