Chemical Production Site Benchmarking

Jan 18, 2022

Benchmarking Global Chemical Site Productivity and Optimizing Organizational Governance

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Situation

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The client sought to evaluate if its chemical production site was optimally structured and cost-efficient relativeto its peers. The client wanted to benchmarking world-scale sites in Europe, the Americas, the Middle East, and Asia (with a strong focus on China).

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Objective

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The objective was to evaluate the setup, sizing, performance, and productivity of site management functions against leading international peers to identify efficiency gaps and validate long-terminternal productivity targets.

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Our Work

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10EQS conducted a global benchmarking study combining expert interviews with cross-site quantitative analysis. Benchmarked key metrics including Site Services FTE ratios, fixed cost structures, cost-per-ton metrics, outsourcing models, and organizational setup.

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Project team
  • Ex-BCG and Kearney Consultant with strong chemical industry experience and incompetitive benchmarking with a particular focus on markets in Asia
  • Associate Consultant based in China conducting secondary research and supporting interviews
  • 10EQS Delivery Operations (=PMO) providing quality assurance, process management and expert recruitment
  • 15 industry experts
Industry experts (excerpt)
  • Site Manager – Chemical Manufacturer (UK)
  • Sr. Site Manager – Chemical Manufacturer (Brazil)
  • Site General Manager – Chemical Manufacturer (China)
  • Site Executive Director – Chemical Manufacturer (US)
  • Director & General Manager – Chemical Manufacturer (China)
  • Site Operations Specialist – Chemical Manufacturer (KSA)

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Results

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The research identified concrete improvement levers in site governance, staffing, and cost structures. The engagement enabled leadership to validate efficiency targets and identify quick wins, structural redesign opportunities, and mid-term optimization pathways, including organizational consolidation, service portfolio redesign, procurement review, and workforce model adjustments.

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