Applications of lean principles and operations research models in fish port operations
Keywords:
industrial engineering, linear programming, operations research, post-harvest loss, value stream mappingAbstract
Fish ports function as critical infrastructure in maritime logistics; however, their performance is frequently hindered by non-linear delays and unoptimized resource management. This research employs a systemic Industrial Engineering (IE) framework to enhance the operational throughput of the Caminawit Fish Port. Utilizing Value Stream Mapping and Pareto Analysis, the study identified that 70% of systemic inefficiencies are rooted in "Methods" and "Manpower" rather than physical capacity constraints. A one-way ANOVA confirmed a statistically significant divergence in bottleneck perception among personnel (p = 0.0024), validating the absence of a standardized operational protocol. To engineer a mathematically validated solution, the study utilized Linear Programming, specifically the Simplex and Big M algorithms, to model an optimal state for the facility. The results demonstrate that adopting a Lean-optimized "Cycle 6" satisfies the mandatory 24-ton monthly demand while reducing total process time from 8 hours to a minimized 8,712 seconds, effectively unlocking a 70% increase in operational efficiency. The model further identified labor as the binding constraint, achieving a maximum objective value of Z (Profit) = 320 units through strategic task reallocation. This research concludes that the integration of IE optimization tools is indispensable for transforming traditional maritime facilities into high-performance logistics hubs, providing a scalable blueprint for regional infrastructure management without the necessity for capital-intensive expansion.
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