International Journal For Multidisciplinary Research
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Volume 8 Issue 4
July-August 2026
Indexing Partners
Simulation-Driven Optimization of Load Sequencing and Explainable Hoist Dispatching in a Multi-Hoist Anodizing Line
| Author(s) | Mr. SANEM AYDAR, Mr. TAHA MANKIR |
|---|---|
| Country | Turkey |
| Abstract | Capacity-one baths and non-passing hoists can leave completed loads in an anodizing bath when downstream capacity or rail access is unavailable. This study addresses the limited separation of day-ahead sequencing from event-level hoist dispatch under stochastic processing and transport times. A field-informed discrete-event simulation represents four overlapping hoists, route-dependent processing, tank blocking, handovers, and shared-rail interference. Simulated annealing reorders the daily list, while the proposed explainable risk- and blockage-aware (RBA) hoist-dispatch rule ranks feasible tasks using process-risk, downstream-blockage, age, and guard information. Five historical production days containing 549 loads were evaluated with four paired seeds, yielding 40,000 simulated-annealing candidates and 80,000 equal-budget random and greedy comparators. Keyed common random numbers supported paired comparisons. Relative to the Current-rule baseline, RBA alone reduced net overstay by 16.386% while increasing makespan by 3.320%. Integrated RBA and simulated annealing reduced net overstay by 34.714%, 90th-percentile cycle time by 10.895%, and work in process by 10.728%, with a 1.784% makespan increase. Simulated annealing outperformed random search at the tested budget but did not universally dominate greedy search. A fit-excluded holdout replay of 100 anodizing loads produced 2.42% absolute relative error between observed and simulated aggregate means and 8.01% position-level symmetric mean absolute percentage error. Net overstay is an operational congestion-risk indicator; validation is limited to the process level rather than the full line. |
| Keywords | Anodizing, Discrete-Event Simulation, Hoist Scheduling, Simulated Annealing, Common Random Numbers, Explainable Dispatching |
| Field | Engineering |
| Published In | Volume 8, Issue 4, July-August 2026 |
| Published On | 2026-08-12 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i04.85464 |
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E-ISSN 2582-2160
CrossRef DOI prefix of IJFMR is 10.36948/ijfmr
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