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Resource Pooling and Allocation Policies to Deliver Differentiated Service
Author(s) -
Yuanguang Zhong,
Zhichao Zheng,
Mabel C. Chou,
ChungPiaw Teo
Publication year - 2017
Publication title -
management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.954
H-Index - 255
eISSN - 1526-5501
pISSN - 0025-1909
DOI - 10.1287/mnsc.2016.2674
Subject(s) - pooling , computer science , operations research , service (business) , resource allocation , flexibility (engineering) , independent and identically distributed random variables , microeconomics , business , economics , marketing , random variable , mathematics , computer network , management , artificial intelligence , statistics
Resource pooling strategies have been widely used in industry to match supply with demand. However, effective implementation of these strategies can be challenging. Firms need to integrate the heterogeneous service level requirements of different customers into the pooling model and allocate the resources (inventory or capacity) appropriately in the most effective manner. The traditional analysis of inventory pooling, for instance, considers the performance metric in a centralized system and does not address the associated issue of inventory allocation. Using Blackwell’s Approachability Theorem, we derive a set of necessary and sufficient conditions to relate the fill rate requirement of each customer to the resources needed in the system. This provides a new approach to studying the value of resource pooling in a system with differentiated service requirements. Furthermore, we show that with “allocation flexibility,” the amount of safety stock needed in a system with independent and identically distribut...

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