Optimization Strategies for Restricted Candidate Lists in Field Service Scheduling

2011 ◽  
pp. 55-83
Author(s):  
Marko Žerdin ◽  
Alexander Gibrekhterman ◽  
Uzi Zahavi ◽  
Dovi Yellin
Keyword(s):  
Service Scheduling ◽  
Field Service

scholarly journals On the impact of real-time information on field service scheduling

2012 ◽  
Vol 53 (2) ◽  
pp. 282-293 ◽  
Author(s):  
Ioannis Petrakis ◽  
Christian Hass ◽  
Martin Bichler
Keyword(s):  
Real Time ◽  
Service Scheduling ◽  
Field Service ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

scholarly journals Knowledge and Behavior-Driven Fruit Fly Optimization Algorithm for Field Service Scheduling Problem with Customer Satisfaction

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Bin Wu ◽  
Hui-Jun Jiang ◽  
Chao Wang ◽  
Min Dong
Keyword(s):  
Customer Satisfaction ◽  
Optimization Algorithm ◽  
Search Strategy ◽  
Time Window ◽  
Fruit Fly ◽  
Fruit Fly Optimization Algorithm ◽  
Scheduling Problem ◽  
Fruit Fly Optimization ◽  
Service Scheduling ◽  
Field Service

The field service scheduling problem (FSSP) is the key problem in field services. Field service pays particular attention to customer experience, that is, customer satisfaction. Customer satisfaction described by customer behavior characteristics based on the prospect theory is considered as the primary optimization goal in this paper. The knowledge of the insertion feasibility on the solution is analysed based on the skill constraint and time window. According to the knowledge, an initialization method based on the nearest heuristic algorithm is constructed. Based on the prior knowledge of the FSSP and the endowment of the Fruit Fly Optimization Algorithm, two operators are defined according to the matrix encoding method. Based on these two operators, three search strategies are then proposed, and the smell-based search strategy and vision-based search strategy for the FOA are redesigned. To verify the performance of the algorithms, the proposed operators and strategies are tested and analysed in the well-known benchmark. Through comparison with the state-of-the-art algorithms, the results show that the proposed HFOA is an effective and efficient method to solve the FSSP with customer satisfaction.

Web Service Scheduling in Multi-Cloud Environment

2019 ◽  
Vol 7 (1) ◽  
pp. 30-38
Author(s):  
P. Sen ◽  
D.Sarddar . ◽  
S.K. Sinha ◽  
R. Pandit
Keyword(s):  
Web Service ◽  
Cloud Environment ◽  
Service Scheduling ◽  
Multi Cloud
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