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Conference Paper: An adaptive supply chain planning framework with stochastic forward modeling
Title | An adaptive supply chain planning framework with stochastic forward modeling |
---|---|
Authors | |
Issue Date | 2012 |
Publisher | Production and Operations Management Society - Hong Kong Chapter (POMS-HK). |
Citation | The 3rd Production and Operations Management Society - Hong Kong Chapter (POMS-HK) International Conference, The Chinese University of Hong Kong, Hong Kong, China, 5-6 January 2012 How to Cite? |
Abstract | Holistic approaches in tackling supply
chain-based problem have become emerging research
focus in the field. In this paper, we present an adaptive
supply chain planning framework for solving feedback
supported dynamic supply chain problems. A centralized
supply chain with four echelons is considered. Multiple
problem types, including strategic, tactical and
operational, are solved simultaneously. Internal and
external planning factors are captured into a mixed
integer non-linear programming model to facilitate the
decision making of production scheduling, inventory
handling, budgeting, facility and capacity planning.
Stochastic demand and production behavior are also
implemented in the model to reflect real world
operations. |
Description | Conference theme: POM in a Volatile Global Environment Session C3: New Issues in SCM II |
Persistent Identifier | http://hdl.handle.net/10722/165339 |
DC Field | Value | Language |
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dc.contributor.author | Lau, HYK | en_US |
dc.contributor.author | Chau, WHD | en_US |
dc.date.accessioned | 2012-09-20T08:17:17Z | - |
dc.date.available | 2012-09-20T08:17:17Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.citation | The 3rd Production and Operations Management Society - Hong Kong Chapter (POMS-HK) International Conference, The Chinese University of Hong Kong, Hong Kong, China, 5-6 January 2012 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/165339 | - |
dc.description | Conference theme: POM in a Volatile Global Environment | - |
dc.description | Session C3: New Issues in SCM II | - |
dc.description.abstract | Holistic approaches in tackling supply chain-based problem have become emerging research focus in the field. In this paper, we present an adaptive supply chain planning framework for solving feedback supported dynamic supply chain problems. A centralized supply chain with four echelons is considered. Multiple problem types, including strategic, tactical and operational, are solved simultaneously. Internal and external planning factors are captured into a mixed integer non-linear programming model to facilitate the decision making of production scheduling, inventory handling, budgeting, facility and capacity planning. Stochastic demand and production behavior are also implemented in the model to reflect real world operations. | - |
dc.language | eng | en_US |
dc.publisher | Production and Operations Management Society - Hong Kong Chapter (POMS-HK). | - |
dc.relation.ispartof | Production and Operations Management Society - Hong Kong Chapter (POMS-HK) International Conference | en_US |
dc.title | An adaptive supply chain planning framework with stochastic forward modeling | 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 | 209427 | en_US |
dc.publisher.place | Hong Kong, China | - |