INGAR   05399
INSTITUTO DE DESARROLLO Y DISEÑO
Unidad Ejecutora - UE
artículos
Título:
A Service-Oriented Approach to Collaborative Management of Disruptive Events in Supply Chains
Autor/es:
GUARNASCHELLI, ARMANDO; FERNANDEZ, ÉRICA; CHIOTTI, OMAR; SALOMONE, ENRIQUE
Revista:
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
Editorial:
ICIC INT
Referencias:
Lugar: Toroku, Kumamoto; Año: 2012 vol. 8 p. 5341 - 5368
ISSN:
1349-4198
Resumen:
ABSTRACT. This work presents a comprehensive proposal to systematically address the problem of the Collaborative Management of Disruptive Events in Supply Chains (CMDESC). This is defined as a collaborative business process that specifies a set of decision making activities that require complex models to systematize the activities of capturing information about internal and external changes to predict disruptive events that can affect the schedule execution, and to systematize the activities of feasibility checking and schedule repairing considering the distributed nature of supply chains. A service–oriented approach implementing this collaborative business process is presented. Reference Models developed for automatically derive appropriate executable models for feasibility checking and schedule repairing, and for monitoring orders and resources, are described. Examples of models validation are also described. BSTRACT. This work presents a comprehensive proposal to systematically address the problem of the Collaborative Management of Disruptive Events in Supply Chains (CMDESC). This is defined as a collaborative business process that specifies a set of decision making activities that require complex models to systematize the activities of capturing information about internal and external changes to predict disruptive events that can affect the schedule execution, and to systematize the activities of feasibility checking and schedule repairing considering the distributed nature of supply chains. A service–oriented approach implementing this collaborative business process is presented. Reference Models developed for automatically derive appropriate executable models for feasibility checking and schedule repairing, and for monitoring orders and resources, are described. Examples of models validation are also described.