Please use this identifier to cite or link to this item:
Title: Partner Selection and Job Shop Scheduling for Virtual Enterprises
Keywords: Partner Selection, Single Objective JSSP, Multi-objective JSSP, Ant Colony Optimizer, Intelligent Water Drops Algorithm, Virtual Enterprise
Issue Date: 21-Dec-2011
Source: NIU SIHONG (2011-12-21). Partner Selection and Job Shop Scheduling for Virtual Enterprises. ScholarBank@NUS Repository.
Abstract: In today?s global market, it is crucial for enterprises to form a Virtual Enterprise (VE) focusing their core competencies and respond better to business opportunities. Partner selection problem is the key issue related to the success of a VE. Besides, in order to succeed in the competitive global market, fully utilizing the machining resources in the enterprise alliance as well as inside the enterprise itself is also essential. Thus, generating effective and efficient schedules definitely has great significance. The optimization mechanism for solving the partner selection problem is realized through the enhancement of an algorithm titled Ant Colony Optimization (ACO). The methodology for solving the single objective Job Shop Scheduling Problem (JSSP) and multi-objective JSSP is achieved through proposing improvement schemes for a newly developed meta-heuristic called the Intelligent Water Drops Algorithm (IWD).
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
NiuSH-26April-2012.pdf2.04 MBAdobe PDF



Page view(s)

checked on Dec 11, 2017


checked on Dec 11, 2017

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.