Paper Info
Title
A model-based rescheduling framework for managing abnormal supply chain events
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.
Year
DOI
Venue
2007
10.1016/j.compchemeng.2006.07.002
Computers & Chemical Engineering
Keywords
Field
DocType
Risk management,Optimization,Reactive scheduling,Uncertainty,Crude oil
Mathematical optimization,Service management,Heuristic,Decision support system,Supply chain risk management,Risk analysis (engineering),Supply chain management,Supply chain,Operational efficiency,Reliability engineering,Mathematics,Causal model
Journal
Volume
Issue
ISSN
31
5
0098-1354
Citations 
PageRank 
References 
13
0.95
9
Authors
3
Name
Order
Citations
PageRank
Arief Adhitya1796.48
Rajagopalan Srinivasan268379.21
I. A. Karimi315415.88