How We Help Manufacturers Improve Performance

Problem / Floor Challenge

Manufacturing plants suffer from invisible shopfloor waste, excessive motion, overproduction, and defects that inflate operating costs and degrade productivity.

Our Implementation Approach

• 1Step 1: Conduct shopfloor diagnostic and 7 Waste (Muda) audit across value streams.
• 2Step 2: Implement 5S workplace organization and visual controls.
• 3Step 3: Map current state Value Streams and design future state target flows.
• 4Step 4: Train frontline operators and supervisors in Kaizen and structured problem-solving.
• 5Step 5: Establish Daily Management Systems (DMS) and standard work audits.

Problem / Floor Challenge

Fragmented improvement initiatives often fail to sustain, resulting in inconsistent performance, lack of accountability, and disconnected KPIs across management tiers.

Our Implementation Approach

• 1Step 1: Perform comprehensive operational health check and leadership alignment.
• 2Step 2: Establish cascading visual KPI management systems from COO to shopfloor.
• 3Step 3: Define standardized management operating cadences and daily standups.
• 4Step 4: Deploy capability-building programs for plant managers and shift supervisors.
• 5Step 5: Implement governance models and sustaining audit mechanisms.

Problem / Floor Challenge

Unmeasured work methods and subjective standard times lead to inaccurate labor costing, low worker productivity, and inefficient workstation design.

Our Implementation Approach

• 1Step 1: Execute detailed MOST (Maynard Operation Sequence Technique) or stop-watch time studies.
• 2Step 2: Analyze operator movements, ergonomics, and non-value-adding motion.
• 3Step 3: Redesign workstations and tool positioning for optimal human-machine synergy.
• 4Step 4: Establish standardized work instructions and cycle time baselines.
• 5Step 5: Roll out multi-skilling matrix and operator skill verification.

Problem / Floor Challenge

Haphazard historical expansion creates crisscrossing material flows, long travel distances, congested aisles, and wasted floor space.

Our Implementation Approach

• 1Step 1: Map existing material travel routes using spaghetti diagrams and quantitative flow matrices.
• 2Step 2: Analyze machine footprint, utility requirements, and safety clearances.
• 3Step 3: Design cellular and unidirectional flow layouts prioritizing product families.
• 4Step 4: Simulate material handling logistics and buffer allocations.
• 5Step 5: Execute phased machine relocation with minimal production downtime.

Problem / Floor Challenge

Uncoordinated scheduling, frequent plan changes, and push production lead to excessive WIP, stockouts of critical parts, and late customer deliveries.

Our Implementation Approach

• 1Step 1: Analyze demand variability and establish product categorization (ABC/XYZ analysis).
• 2Step 2: Implement Drum-Buffer-Rope or Kanban demand-pull scheduling mechanisms.
• 3Step 3: Design visual production boards and daily scheduling update routines.
• 4Step 4: Align raw material procurement with finite shopfloor capacity schedules.
• 5Step 5: Train planning teams on dynamic leveling (Heijunka) techniques.

Problem / Floor Challenge

Manufacturers believe their plant is running at max capacity and plan major capital expenditure, unaware that 20-35% hidden capacity is locked in bottlenecks and micro-stoppages.

Our Implementation Approach

• 1Step 1: Perform plant-wide capacity modeling to pinpoint physical constraint stations.
• 2Step 2: Sub-optimize non-bottlenecks to ensure continuous feeding of constraint equipment.
• 3Step 3: Eliminate constraint downtime using targeted TPM and quick setup methods.
• 4Step 4: Balance upstream and downstream process speeds with constraint pace.
• 5Step 5: Establish constraint buffer management and real-time output monitoring.

Problem / Floor Challenge

Unbalanced work allocation causes line operators to wait on slow stations while others are overworked, resulting in line starvation and low headcount efficiency.

Our Implementation Approach

• 1Step 1: Break down assembly tasks into element work content times.
• 2Step 2: Determine Takt time based on customer demand rates.
• 3Step 3: Reallocate work elements to achieve smooth pitch and minimal balance delay.
• 4Step 4: Design single-operator multi-station work patterns where suitable.
• 5Step 5: Validate line balance with trial runs and standard work sheet documentation.

Problem / Floor Challenge

Low equipment availability due to breakdowns, minor stoppages, speed losses, and quality rejects keeps OEE trapped between 40-60%.

Our Implementation Approach

• 1Step 1: Install standardized OEE data capture and loss categorization framework.
• 2Step 2: Conduct 6 Big Losses analysis to pinpoint major downtime contributors.
• 3Step 3: Deploy Autonomous Maintenance (AM) and Planned Maintenance (PM) pillars.
• 4Step 4: Execute SMED (Single-Minute Exchange of Die) setup time reduction projects.
• 5Step 5: Institutionalize Root Cause Analysis (RCA) and 5-Why problem solving.

Problem / Floor Challenge

Manual tasks introduce human error, fatigue, and speed limits, while fully automated high-tech solutions require cost-prohibitive investments.

Our Implementation Approach

• 1Step 1: Identify repetitive manual work, part loading/unloading, and error-prone inspection steps.
• 2Step 2: Design mechanical gravity-fed Karakuri kaizen mechanisms for material handling.
• 3Step 3: Implement sensor-based Poka-Yoke (error-proofing) devices at critical quality check points.
• 4Step 4: Integrate simple pneumatic or mechanical actuators to assist heavy manual lifting.
• 5Step 5: Test, refine, and document standardized operation for automated stations.

Problem / Floor Challenge

Paper-based shopfloor logs, manual data entry delays, and lack of real-time visibility into machine downtime, scrap, and line output.

Our Implementation Approach

• 1Step 1: Install digital shopfloor tracking & real-time visual OEE dashboards.
• 2Step 2: Deploy Low Cost Automation (LCIA) and Poka-Yoke error-proofing sensors.
• 3Step 3: Automate daily production reporting and downtime categorization.
• 4Step 4: Connect critical machines for live cycle time and breakdown monitoring.
• 5Step 5: Train supervisors on real-time digital management operating cadences.

Problem / Floor Challenge

Chaotic material handling, double-handling of parts, misplaced inventory, and delayed line feeding disrupt production schedules and inflate logistics costs.

Our Implementation Approach

• 1Step 1: Analyze material movement paths, lot sizes, and handling equipment utilization.
• 2Step 2: Design Mizusumashi (water-spider) timed material supply routes to workstations.
• 3Step 3: Establish supermarket storage zones with min-max inventory controls.
• 4Step 4: Implement Kanban signaling and FIFO (First-In, First-Out) material flow.
• 5Step 5: Standardize container sizes, kit packaging, and visual material status.

Problem / Floor Challenge

Rising raw material prices, labor costs, and high scrap rates squeeze profit margins, making cost reduction a strategic necessity for manufacturing plants.

Our Implementation Approach

• 1Step 1: Conduct cost-driver analysis across conversion, labor, energy, and scrap categories.
• 2Step 2: Map energy consumption baselines and identify power waste in utilities.
• 3Step 3: Execute yield optimization projects to minimize scrap and raw material loss.
• 4Step 4: Optimize manpower deployment and reduce overtime reliance.
• 5Step 5: Establish plant cost-tracking dashboards and continuous savings pipeline.