Cross-training policies for repair shops with spare part inventories-Reference-Cited by-同舟云学术

Cross-training policies for repair shops with spare part inventories

Published:2019-03 Issue: Volume:209 Page:334-345
ISSN:0925-5273
Container-title:International Journal of Production Economics
language:en
Short-container-title:International Journal of Production Economics

Author:

Sleptchenko Andrei,Turan Hasan Hüseyin,Pokharel Shaligram,ElMekkawy Tarek Y.

Funder

NPRP

Qatar Foundation

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Economics and Econometrics,General Business, Management and Accounting

Reference45 articles.

1. A loss system with skill-based servers under assign to longest idle server policy;Adan;Probab. Eng. Inf. Sci.,2012

2. A skill based parallel service system under fcfs-alis—steady state, overloads, and abandonments;Adan;Stochat. Syst.,2014

3. Reducing costs of spare parts supply systems via static priorities;Adan;Asia Pac. J. Oper. Res.,2009

4. Workforce cross-training decisions in field service systems with two job types;Agnihothri;J. Oper. Res. Soc.,2003

5. Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints;Allaoui;Comput. Ind. Eng.,2004

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