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KIABI

Low-cost family fashion retailer worldwide

Manufacturing Excellence Engineer

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timePhnom Penh, CambodiaNo salary listedIn-person

About the Job

Requirements

  • Strong knowledge of garment construction, materials, and machines.
  • Understand the end-to-end garment factory process.
  • Be capable of optimizing workflow.
  • Have garment construction re-engineering knowledge.
  • Have project management skills.
  • Be proficient in the Microsoft Office Suite, PLM, and Power BI.
  • Be proficient in English.
  • Have data modeling and analytics skills.
  • Have 5–10 years of relevant work experience in apparel manufacturing, industrial engineering, lean manufacturing, costing, or operational excellence.
  • Have experience in a Quality Management System.
  • Have experience in work measurement (PMTS), line balancing, and methods improvement.
  • Have a minimum of 3 years leading continuous improvement programs with vendors or factories.
  • Have experience in product re-engineering, design to cost, eco design, and process innovation.
  • Have experience in factory assessment and evaluation.
  • Have exposure to cost optimization projects.
  • Have exposure to project management.
  • Have a diploma in Industrial Engineering, Operation Management, another Engineering Field, Textile Engineering, or Apparel Manufacturing Technology.

Responsibilities

  • Improve overall factory efficiency through line balancing, line layout improvement, skills development, and line management.
  • Improve Right the First Time (RFT) in terms of system adherence and sustainment.
  • Improve quality at source through effective implementation of the Total Quality Management System (TQMS).
  • Reduce SMV of permanent styles through process improvement, re-engineering, and innovation.
  • Optimize costs and improve material utilization.
  • Optimize processes.
  • Provide vendors and factories with theoretical and practical training in Lean, TQM, Six Sigma, industrial engineering tools, and innovation.
  • Upgrade factories to L3 or L4.
  • Support vendors and factories in building a culture of continuous improvement.
  • Introduce machine innovation, artificial intelligence, and digitalization trends to improve productivity and quality and reduce costs.
  • Govern and deploy the Continuous Improvement Playbook, serving as its owner and subject matter expert.
  • Lead the rollout of continuous improvement standards and requirements across partner or KAS supplier factories.
  • Ensure implementation of the playbook's continuous improvement clauses, systems, methodologies, and minimum requirements.
  • Develop roadmaps based on factory evaluation results.
  • Ensure alignment between factory operations and corporate sourcing strategy.
  • Review, maintain, and continuously improve Manufacturing Excellence Playbook standards based on emerging industry best practices.
  • Conduct Manufacturing Excellence evaluations at partner or KAS supplier factories.
  • Evaluate factories using the Manufacturing Excellence Scorecard and BRAG rating methodology.
  • Determine factory Manufacturing Excellence evaluation levels (L1, L2, L3, and L4).
  • Identify gaps and improvement opportunities.
  • Prepare comprehensive assessment reports and executive summaries.
  • Work with partner or KAS vendors and factories to establish corrective action plans and implementation roadmaps.
  • Monitor closure of assessment findings (NCs) and sustainment actions.
  • Design and deliver Manufacturing Excellence training modules.
  • Conduct classroom and practical training workshops.
  • Coach factory management teams and industrial engineers.
  • Build a Lean and continuous improvement culture within vendor and factory organizations.
  • Certify factory Manufacturing Excellence champions and key users according to playbook standards.
  • Conduct training in Critical Path Management, Production Planning, Total Quality Management System (TQMS), Lean and Six Sigma, and the Supermarket System (Cutting to Sewing).
  • Apply sewing industrial engineering tools, including work measurement (PMTS: GST/GSD); operation bulletins; line balancing charts (SMV, takt time, and cycle time); operator-hour output and efficiency monitoring; sewing end-line Kanban boards; non-productive time records and analysis; quick changeover; skill matrices; standard worksheets; Zero Defect Operator Programs; RFT/DHU/reject/rework percentage reports; and consolidated daily, weekly, monthly, and yearly sewing-line and overall sewing-department production output, efficiency, and quality reports.
  • Apply cutting industrial engineering tools, including marker optimization, cut plan optimization, daily cutting plan systems, spreading and cutting control systems, and consolidated daily, weekly, and yearly output and efficiency reports for spreading, cutting, bundling, and loading by table/team and overall.
  • Apply finishing and packing tools, including operator hourly target and output reports and team-based and department output and efficiency reports.
  • Prepare consolidated daily production report summaries for cutting, sewing, finishing, and packing.
  • Lead productivity improvement, workflow optimization, and quality improvement initiatives across departments.
  • Lead Kaizen, Lean, Six Sigma, and industrial engineering projects.
  • Facilitate value stream mapping exercises.
  • Conduct root cause analysis using 5 Whys and Fishbone diagrams.
  • Identify and eliminate waste across manufacturing processes.
  • Reduce cost, lead time, changeover time, work in progress, defects, and downtime.
  • Improve productivity, efficiency, quality, and capacity utilization.
  • Deploy digitalization and Industry 4.0 solutions, including enterprise resource planning systems; manufacturing execution system solutions such as shop-floor management, warehouse management, quality management, asset management, and planning systems; RFID or barcode/QR-code systems; shop-floor tracking solutions; GSD; artificial intelligence and data analytics applications; and artificial-intelligence-based bots or robotics applications.
  • Identify factory automation opportunities.
  • Benchmark best-in-class apparel technology.
  • Advise and guide factories on investing in machine innovations to improve quality, efficiency, and productivity, reduce the skill required for operations, and reduce costs.
  • Provide cost-benefit, return-on-investment, and payback-period analyses to evaluate investments.
  • Develop and monitor performance indicators, including efficiency, performance, PPH, OEE, capacity utilization, RFT rate, DHU rate, rework rate, reject rate, Zero Defect, cost savings, critical-path adherence, non-productive time rate, SMV reduction, and on-time delivery.
  • Work with external vendor and factory leaders and functional and operational teams, and internal Industrial Merch, Planning, Costing, P.E, and GT teams.

Desired Qualifications

  • Mandarin language skills.
  • GSD Practitioner experience.
  • Lean certification or Lean Six Sigma Green Belt certification.

About the Company

KIABI

Low-cost family fashion retailer worldwide

KIABI offers affordable fashion for the whole family, with a focus on low-cost ready-to-wear. Its product lines are designed in France by an in-house team of 56 fashion designers, and the company sells through a network of more than 505 shops worldwide. The fashion ranges are created in-house and then produced to be accessible and easy to wear for people of all ages and nationalities. The company operates with a straightforward business model: make simple, universal clothing at low prices and keep costs down by managing design in-house and selling through a large retail network. Compared with competitors, KIABI stands out thanks to its large global presence, French design origin, and emphasis on universality and joie de vivre in its branding, aiming to be the go-to source for affordable family fashion. Its goal is to keep fashion accessible for everyone while growing its international reach and maintaining French design sensibilities.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Hem, France
Founded
1978

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