Paper Info
Title
A Human-Asset-Compromised Allocation Model of Multiple Emergency Projects in Service-Focused Enterprises
Abstract
Chinese enterprises have been conducting low-end processing for foreign brands. In recent years, they want to get rid of this high-pay low-income pattern and develop towards the high-end of the value chain. Most of them are transforming to service-focused enterprises that aim to provide customers with customized service. In service-focused enterprises, the human asset - like industry experts, technology experts, product experts and so on - is very important. Sometimes, the services provided by experts can directly affect the satisfaction of customers. Service-focused enterprises always have to face this challenge: multiple projects occur in emergency situations at the same time and need to dispatch multiple suitable experts from multiple places in order to respond. Under the constraint of human asset requirements on time and cost, this paper establishes an uncompromised resource allocation model for human asset emergency response. According to the characteristics of human asset emergency issues, the mathematical model can be presented to help solve the largescale emergency difficulties among multiple projects, multiple experts' types and multiple experts' locations. Finally, a case study is carried on to prove the algorithm's effectiveness.
Year
DOI
Venue
2012
10.1109/SCC.2012.89
IEEE SCC
Keywords
Field
DocType
human-asset-compromised allocation model,chinese enterprises,human asset requirement,resource allocation model,high-pay low-income pattern,multiple place,multiple emergency projects,product experts,customized service,decision support,service-focused enterprise,emergency situation,supply chain management,value chain,mathematical model,resource allocation,multiple suitable expert,compromised resources allocation,industry experts,allocation model,technology experts,service-focused enterprises,decision support systems,foreign brands,customer satisfaction,low-end processing,human asset emergency issues,human asset requirements,human asset emergency response,multiple project,human asset,human asset emergency issue,multiple expert,resource management,linear programming,programming,vectors
Resource management,Customer satisfaction,Decision support system,Supply chain management,Management,Resource allocation,Linear programming,Value chain,Multiple experts,Business,Process management
Conference
ISBN
Citations 
PageRank 
978-1-4673-3049-7
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Yan Wang142.45
Liang-Jie Zhang2982138.17
Wei Wang31679168.84