Bi-objective multi-resource scheduling problem for emergency relief operations

Abstract

Resource scheduling for emergency relief operations is complex as it has many constraints. However, an effective allocation and sequencing of resources are crucial for the minimization of the completion times in emergency relief operations. Despite the importance of such decisions, only a few mathematical models of emergency relief operations have been studied. This article presents a bi-objective mixed integer programming (MIP) that helps to minimize both the total weighted time of completion of the demand points and the makespan of the total emergency relief operation. A two-phase method is developed to solve the bi-objective MIP problem. Additionally, a case study of hospital network in the Melbourne metropolitan area is used to evaluate the model. The results indicate that the model can successfully support the decisions required in the optimal resource scheduling of emergency relief operations.     

Reduce rework,improve safety: an empirical inquiry into the precursors to error in construction

A positive association between rework and safety events that arise during the construction process has been identified. In-depth semi-structured interviews with operational and project-related employees from an Australian construction organisation were undertaken to determine the precursors to rework and safety events. The analysis enabled the precursors of error to examined under the auspices of: (1) People, (2) Organisation, and (3) Project. It is revealed that the precursors to error for rework and safety incidents were similar. A conceptual framework to simultaneously reduce rework and safety incidents is proposed. It is acknowledged that there is no panacea that can be used to prevent rework from occurring, but from the findings presented indicate that a shift from a position of ‘preventing’ to ‘managing’ errors is required to enable learning to become an embedded feature of an organisation’s culture. As a consequence, this will contribute to productivity and performance improvements being realised.