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Conference Paper: An Artificial Immune Systems (AIS)-based unified framework for general job shop scheduling
| Title | An Artificial Immune Systems (AIS)-based unified framework for general job shop scheduling |
|---|---|
| Authors | |
| Keywords | Job and activity scheduling Production planning and control Procedures for process planning |
| Issue Date | 2014 |
| Publisher | 19th IFAC World Congress. |
| Citation | The 19th World Congress of the International Federation of Automatic Control (IFAC'14), Cape Town, South Africa, 24-29 August 2014. How to Cite? |
| Abstract | Process scheduling is a classical problem in the field of production planning and control; in particular, effective job shop scheduling remains an essential component in today’s highly dynamic and agile production environment. This paper presents unified framework for solving generic job shop scheduling problems based on the formulation of a job shop into three main classes of problem, namely, static, semi-dynamic and dynamic scheduling problems. Algorithms based on artificial immune systems, an engineering analogy of the human immune system, are developed to solve the respective classes of job shop scheduling problems. A high level decision support model is presented for the effective deployment of the scheduling strategies whereby a unified approach to solving real job shop problems is achieved |
| Description | WeA22 Invited Session - Balancing and Sequencing in Assembly and Machining Lines: Paper WeA22.5 The Conference program's website is located at https://ifac.papercept.net/conferences/conferences/IFAC14/program/ |
| Persistent Identifier | http://hdl.handle.net/10722/199408 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lau, HYK | en_US |
| dc.date.accessioned | 2014-07-22T01:16:25Z | - |
| dc.date.available | 2014-07-22T01:16:25Z | - |
| dc.date.issued | 2014 | en_US |
| dc.identifier.citation | The 19th World Congress of the International Federation of Automatic Control (IFAC'14), Cape Town, South Africa, 24-29 August 2014. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10722/199408 | - |
| dc.description | WeA22 Invited Session - Balancing and Sequencing in Assembly and Machining Lines: Paper WeA22.5 | - |
| dc.description | The Conference program's website is located at https://ifac.papercept.net/conferences/conferences/IFAC14/program/ | - |
| dc.description.abstract | Process scheduling is a classical problem in the field of production planning and control; in particular, effective job shop scheduling remains an essential component in today’s highly dynamic and agile production environment. This paper presents unified framework for solving generic job shop scheduling problems based on the formulation of a job shop into three main classes of problem, namely, static, semi-dynamic and dynamic scheduling problems. Algorithms based on artificial immune systems, an engineering analogy of the human immune system, are developed to solve the respective classes of job shop scheduling problems. A high level decision support model is presented for the effective deployment of the scheduling strategies whereby a unified approach to solving real job shop problems is achieved | - |
| dc.language | eng | en_US |
| dc.publisher | 19th IFAC World Congress. | - |
| dc.relation.ispartof | 19th IFAC World Congress 2014 | en_US |
| dc.subject | Job and activity scheduling | - |
| dc.subject | Production planning and control | - |
| dc.subject | Procedures for process planning | - |
| dc.title | An Artificial Immune Systems (AIS)-based unified framework for general job shop scheduling | en_US |
| dc.type | Conference_Paper | en_US |
| dc.identifier.email | Lau, HYK: hyklau@hkucc.hku.hk | en_US |
| dc.identifier.authority | Lau, HYK=rp00137 | en_US |
| dc.identifier.hkuros | 230848 | en_US |
| dc.publisher.place | South Africa | - |