Many hospitals emphasize on stabilizing the patient, minimizing the length of stay and postponing complete diagnosis and treatment for the outpatient setting and early discharge of incompletely treated patients resulting in frequent readmissions, thereby, decreasing the quality of patient care. On the contrary, prolonged hospitalization increases the healthcare costs due to nosocomial infections and iatrogenic complications. We conducted a prospective observational study on the factors affecting average length of stay of 100 patients in the Inpatient Department in a tertiary care centre in North India. The association of Average Length of Stay with nutritional status, educational status and insurance status of the patient was found to be statistically significant.
In this paper, Job shop scheduling problem is solved through multi agent system. An agent based scheduling model is introduced to solve the job shop scheduling problem. Dynamic rescheduling problem is also an important issue in modern manufacturing system with the feature of combinatorial computation complexity. This model improve the job shop scheduling problem and provide the better flexibility to the production system. According to contract net protocol (CNP), agents cooperate with each other through contract net and the process of inviting public bidding makes for computing the production order and dynamic scheduling. The CNP offers negotiation mechanism and agents communication for the decision making in the manufacturing system. This paper proposed model for job shop scheduling as well as problem associated with has been discussed.
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