Status : Verified
| Personal Name | Labayan-Mamino, Luchie Marie A. |
|---|---|
| Resource Title | A grey multiobjective programming model integration of inventory uncertainty into the dynamic interoperability input-output model |
| Date Issued | June 2018 |
| Abstract | Natural disasters caused large damage not only to infrastructure and human injuries, but also to a country’s economy. The disruption may affect a single economic sector but sector interdependence guarantees that this will trickle down to other sectors, leading to increased damages across overall economic sectors. This study investigates the impact of a disruption in a particular economic sector and its ripple effects to other interdependent sectors. An optimization model was developed by integrating inoperability input-output modeling (IIM) with grey multi-objective programming (GMP) to determine the optimal output level of any industry sector, which can cover the inoperability, that minimizes the cost of production and economic loss when disruption occurs. Uncertainty was incorporated in the model through the use of grey numbers. The efficacy of maintaining an inventory prior to disaster was verified through dynamic inoperability input-output modeling (DIIM) on how it delays inoperability, how operability in interdependent sectors is sustained and how economic losses are reduced. Two sectors, banana and coconut sectors, were used as case study in the application and verification of the model. The results showed that in terms of both inoperability and economic losses, the critical sectors are chemical and chemical products, and agricultural activities and services. The GMP model was able to determine the optimal total output level and initial inventory of a sector. Around 19% of banana sector’s original total output and 10%-11% of the coconut’s original total output should be produced as buffer to maintain operability given the specified levels of disruption in this study. A significant reduction in and delayed onset of inoperability values and economic losses is observed when on-hand inventory is maintained, and thus ensuring sector operability for some time following the disruption. The inoperability on banana sector was delayed by 2 months while 16-18 month |
| Degree Course | Master of Science In Industrial Engineering (Operations Research) |
| Language | English |
| Keyword | Inoperability input-output modeling; Grey multi-objective programming; Dynamic inoperability input-output modeling |
| Material Type | Thesis/Dissertation |
Preliminary Pages
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Category : F - Regular work, i.e., it has no patentable invention or creation, the author does not wish for personal publication, there is no confidential information.
Access Permission : Open Access