Ensuring Flexible Process Compliance with Semantic Constraints using Mixed-Integer Programming
An adaptive process management system APMS allows for flexible, dynamic, and even ad hoc adaptation of processes based on case data, context, and events. These processes may arise in various domains such as business, healthcare, etc. In knowledge-intensive environments, it is important that APMS tec...
Saved in:
Main Authors: | KUMAR, Akhil, YAO, Wen, CHU, Chao-Hsien |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2012
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2234 http://dx.doi.org/10.1287/ijoc.1120.0520 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Scalable and globally optimal generalized L1 K-center clustering via constraint generation in mixed integer linear programming
by: CHEMBU, Aravinth, et al.
Published: (2023) -
Scalable and globally optimal generalized L1 K-center clustering via constraint generation in mixed integer linear programming
by: CHEMBU, Aravinth, et al.
Published: (2023) -
Semantic validation for XML updates
by: Ni, W., et al.
Published: (2013) -
A mixed-integer SDP solution to distributionally robust unit commitment with second order moment constraints
by: Zheng, Xiaodong, et al.
Published: (2020) -
INFORMAL INSTITUTIONS AND COMPLIANCE: THE CASE OF HOUSEHOLD RECYCLING IN SINGAPORE AND SHANGHAI
by: ZHANG JINGRU
Published: (2021)