VB Engineering Discrete Event Simulation from the Jakarta operations entity. Country-native standards overlay. Insinyur Profesional + CEng MIE signed. Native handover to Wistwin · the sister Industry 4.0 digital twin SaaS.
FlexSim, AnyLogic, and Simio discrete-event simulation that answers the operational questions the Cilacap refining (Java) in Indonesia actually fight over: throughput, bottleneck, utilisation, and resilience under disruption.
Across Pertamina's refining estate, the Bontang and Tangguh LNG complexes, and the Morowali-Weda Bay nickel-EV-battery processing build-out, a validated discrete-event simulation is what turns a capex proposal from an argument into evidence. Indonesia's industrial electrical engineering market is led by Pertamina's refining and petrochemical assets, the gas-processing and LNG complex (Bontang · Tangguh · Donggi-Senoro), and a fast-growing nickel-laterite to electric-vehicle-battery processing build-out (Morowali · Weda Bay). PUIL 2011 (Persyaratan Umum Instalasi Listrik · the Indonesian wiring rules) and Migas regulations drive the regulatory framework. Indonesia's industrial base was largely built between 1985 and 2010. Pertamina's refining modernisation program (Cilacap · Balikpapan · Dumai) is brownfield expansion. The Morowali / Weda Bay nickel-EV-battery build-out is a brownfield extension of an existing industrial corridor. The brownfield digital engineering offer fits the country's posture directly.
Process is captured to BPMN 2.0 and ISA-95 conventions. Input data validated to ASTM E2476 / VV&A practice. Output statistics confidence-bounded; no single-run results in the deliverable. Where the operator references PUIL 2011 (general electrical installations) · SNI IEC 60079 (hazardous area) · SNI IEC 61936 · IEC 60909 · Migas K3 (occupational safety) regulations, the engineering reference layer aligns; the simulation methodology is invariant.
Steady-state throughput under base-case conditions, with bottleneck identification at the resource level. Where the bottleneck is constraint-stacked (two resources alternating as the constraint), the model surfaces this with utilisation curves rather than averages.
Capex options modelled side-by-side (debottleneck option A versus capacity-expansion option B versus operational-change option C). Each scenario reports throughput, utilisation, queue length, and Service Level confidence with bounds.
Random-failure modelling of the critical equipment fleet with MTBF / MTTR from the operator CMMS. Plant performance under cascading failure scenarios. The deliverable answers "how resilient is this plant" with a defensible number.
Where input data has measurement uncertainty (a recurring reality in Indonesia brownfield plants), the deliverable includes sensitivity sweeps on the top input drivers so the operator sees which assumptions move the answer the most.
The FlexSim / AnyLogic / Simio model handed over with a run-book the operator's engineering team can use to run their own experiments. Where the operator subscribes to the Wistwin platform, the model integrates with the digital-twin layer directly.
Process flow captured on the live plant, walked with operations, modelled in FlexSim / AnyLogic / Simio. As-Is model validated against 4-6 weeks of historian data so the baseline matches reality before any what-if begins.
Three Indonesian engagements (a Pertamina refinery, a Bontang-region LNG train, and a Morowali nickel processing plant) that show the pattern:
a 348,000 BPD refinery with 150 kV intake and aging 11 kV switchgear.
The engagement: K3 Migas safety audit demanded current arc flash labels in Indonesian language; full plant re-baseline + protection coordination + PUIL 2011 conformance package.
an LNG train with 70 kV intake and 6.6 kV distribution.
The engagement: Insulation coordination after lightning event on the 70 kV feeder; SPD selection + ground grid reconciliation + harmonic measurement.
a HPAL hydrometallurgy plant with 150 kV captive coal-power + 11 kV processing distribution.
The engagement: First-of-kind plant arc flash baseline against international standards while satisfying PUIL 2011 and K3 Migas review.
Buyer questions we hear consistently across K3 Migas audit, PUIL 2011 conformance, and TKDN local-content conversations:
Tell us what scenario you need modelled in Indonesia. A simulation lead responds inside 24 hours.
Scope Your Plant