scholarly journals How different is professional service operations management?

2011 ◽  
Vol 30 (1-2) ◽  
pp. 1-11 ◽  
Author(s):  
Michael A. Lewis ◽  
Andrew D. Brown
Author(s):  
Xiaolong Guo ◽  
Yugang Yu ◽  
Gad Allon ◽  
Meiyan Wang ◽  
Zhentai Zhang

To support the 2021 Manufacturing & Service Operations Management (MSOM) Data-Driven Research Challenge, RiRiShun Logistics (a Haier group subsidiary focusing on logistics service for home appliances) provides MSOM members with logistics operational-level data for data-driven research. This paper provides a detailed description of the data associated with over 14 million orders from 149 clients (the consigners) associated with 4.2 million end consumers (the recipients and end users of the appliances) in China, involving 18,000 stock keeping units operated at 103 warehouses. Researchers are welcomed to develop econometric models, data-driven optimization techniques, analytical models, and algorithm designs by using this data set to address questions suggested by company managers.


Work Study ◽  
1993 ◽  
Vol 42 (1) ◽  
pp. 16-19 ◽  
Author(s):  
Mary A. Tinkham ◽  
Brian H. Kleiner

2011 ◽  
Vol 1 (4) ◽  
pp. 1-10
Author(s):  
Andrew Tiger ◽  
Robert Howard

TitleKiwanis Pancake Day – a service operations management case study.Subject areaOperations management.Study level/applicabilityUndergraduate and MBA OM courses.Case overviewKiwanis International is a global service organization dedicated to improving the world by helping children. The Durant, Oklahoma chapter holds its primary annual fundraiser the first Tuesday of November, which is also Election Day. The chapter sells and serves fresh pancakes throughout the day; therefore, the event is the Kiwanis Pancake Day. While serving in his first Pancake Day, Robert Howard, a new Kiwanian, notices service operations management issues such as long lines, spiky demand, and customers leaving before being served. Based on his management experience in the grocery business and his academic training in queuing systems, Robert performs an analysis of the system with the purpose of improving service operations.Expected learning outcomes Perform queuing analysis., Understand demand management., Explain the psychology of waiting.Supplementary materialsTeaching notes and spreadsheet‐based multiple‐server simulator.


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