International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 4 (July-August 2026) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

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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