Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compchemeng.2006.07.002
Title: A model-based rescheduling framework for managing abnormal supply chain events
Authors: Adhitya, A.
Srinivasan, R. 
Karimi, I.A. 
Keywords: Crude oil
Optimization
Reactive scheduling
Risk management
Uncertainty
Issue Date: May-2007
Source: Adhitya, A., Srinivasan, R., Karimi, I.A. (2007-05). A model-based rescheduling framework for managing abnormal supply chain events. Computers and Chemical Engineering 31 (5-6) : 496-518. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compchemeng.2006.07.002
Abstract: Enterprises today have realized the importance of supply chain management to achieve operational efficiency, cut costs, and maintain quality. Uncertainties in supply, demand, transportation, market conditions, and many other factors can interrupt supply chain operations, causing significant adverse effects. These uncertainties motivate the development of decision support systems for managing disruptions in the supply chain. In this paper, we propose a model-based framework for rescheduling operations in the face of supply chain disruptions. A causal model, called the composite-operations graph, captures the cause-and-effect among all the variables in supply chain operation. Its subgraph, called scheduled-operations graph, captures the causal relationships in a schedule and is used for identifying the consequences of a disruption. Rescheduling is done by searching a rectifications-graph, which captures all possible options to overcome the disruption effects, based on a user-specified utility function. In contrast to heuristic approaches, the main advantages of the proposed model-based rescheduling method are the completeness of solution search and flexibility of the utility function. The proposed framework is illustrated using a refinery supply chain example. © 2006 Elsevier Ltd. All rights reserved.
Source Title: Computers and Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/54414
ISSN: 00981354
DOI: 10.1016/j.compchemeng.2006.07.002
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