Mohammed El Ayachi

At the Flins Plant (Renault mass production site), I managed the logistics performance of several workshops and led optimization projects with a direct impact on costs.

Main responsibilities:

• Workshop performance management using SQCDRHE indicators — daily animation of performance rituals with field teams

• Creation of interactive Power BI dashboards for real-time monitoring of workshop KPIs (production, quality, logistics, HR, HSE)

• Logistics equipment maintenance optimization project → €6,000 in annual savings on the department budget

• Creation and deployment of logistics standards (FOS, flow mapping, TEO, PMA) across several workshops

• Participation in 3 HSE audits (ISO 14001 and ISO 50001 certifications) — zero major non-conformities found

• Advanced data analysis: Excel, SQL, Power BI, Business Objects (BO)

Environment: mass production automotive plant, multidisciplinary teams, SAP SCM, MES, BO tools.

At Renault's Procurement Department (Guyancourt Technocenter), I managed the strategic project of reusing wooden pallets across the group from start to finish.

🎯 Project Context:

Renault used thousands of single-use wooden pallets annually, generating high costs and a massive volume of waste. The objective: replace these new pallets with reused wooden pallets, ensuring quality, delivery time, and cost through a dedicated supplier panel.

📊 Results Achieved:

→ €500,000 in annual savings on pallets for the Renault group

→ 1,200 tons of wood waste avoided per year — direct contribution to the group's CSR objectives

→ New operational supplier panel (France + international) with negotiated contracts

🔧 What I Did Concretely:

• Analysis of logistics and technical needs with business and field teams (pallet types, loads, frequencies, storage constraints)

• Definition of technical specifications (dimensions, strength, NIMP15 phytosanitary standards)

• Sourcing and selection of suppliers specializing in reused pallets — France and Europe

• Drafting and management of tenders (RFQs), multi-criteria evaluation (quality, cost, delivery time, CSR)

• Negotiation of contracts, prices, delivery terms, and incoterms

• Implementation of procurement performance indicators (OTIF, service rate, cost/pallet, return rate)

• Supplier monitoring and performance management over time

🛠️ Tools Used: Ariba, Click to Buy, SAP, Advanced Excel

At the LafargeHolcim Morocco production site (world leader in construction materials, €26 billion in revenue), I conducted a reliability engineering project to improve the availability of an industrial palletizer — a critical end-of-line equipment for cement production.

🏭 Context & Challenges:

In a continuous production plant (24/7), any unplanned stoppage leads to direct production losses and high costs. The palletizer experienced recurring failures on several subsystems, jeopardizing production rates and customer deliveries. The objective: identify critical failure modes, prioritize actions, and implement an adapted maintenance plan.

🔬 FMEA Approach — Step by Step:

1. Functional decomposition of the palletizer

→ Listing of all subsystems and components (conveyors, grippers, cylinders, gearmotors, control system)

→ Identification of each component's function in the palletizing cycle

2. Root cause identification

→ 5 Whys analysis for critical RPN failures

→ Ishikawa diagram (5M) to map causes (Material, Method, Manpower, Machine, Milieu/Environment)

3. Corrective and preventive action plan (CAPA)

→ Development of a preventive maintenance plan focused on high-RPN components

→ Definition of intervention frequencies, spare parts to stock, and control procedures

→ Transmission of the documented plan to the maintenance department for deployment

📊 Results:

→ Significant reduction in unplanned downtime for high-criticality components

→ Documented, validated preventive maintenance plan handed over to the maintenance department

→ FMEA database created — reusable for similar equipment on site

→ Recommendations for critical spare parts stock integrated into the maintenance budget