Plastics : Production Delays in the Plastic Industry

Production delays occur when plastic manufacturing takes longer than planned, causing products to be delivered late to customers.
These delays can range from a few hours to several months, depending on the cause and severity.
Major causes of production delays:
1. Raw material supply issues:
Resin shortages:
Example:
Injection molding machine breakdowns:
Typical scenario:
Case Sstudy of phone cases maker:
Failed quality tests:
Example of a medical device manufacturer:
Scenario of a toy manufacturer before Christmas season:
Skilled worker shortages:
Industry example:
Injection molding technician shortage:
Scenario of a key technician sick leave:
Power outages:
Real example:
Summer heat wave causes rolling blackouts:
Case of a resin producer during energy crisis:
FDA approval delays:
Medical example:
New material for food packaging:
Scenario of new emissions regulations:
Automotive industry:
Seasonal toy production:
Inventory management:
Example of a manufacturer that keeps:
Case study of an electronics manufacturer:
Example of an advanced manufacturer:
Early warning systems example:
Professional response example:
When delays occur, leading companies:
Direct costs:
Major causes of production delays:
1. Raw material supply issues:
Resin shortages:
Example:
In 2021, a winter storm shut down petrochemical plants in Texas, creating a massive shortage of plastic pellets.
Companies like packaging manufacturers had to:
- Wait 6-8 weeks for new resin deliveries (normal: 1-2 weeks)
- Pay 300% higher prices for emergency supplies
- Delay customer orders by 2-3 months
Real scenario:
A bottle manufacturer receives a batch of PET resin contaminated with metal particles:
- Discovery: during first production run, metal damages expensive injection mold
- Impact: 3-day production shutdown for mold repair
- Cost: $150,000 in lost production plus $50,000 mold repair
- Customer impact: 500,000 bottles delayed by one week
Transportation delays:
Example:
COVID-19 port congestion in 2020-2022:
- Normal shipping time from Asia: 14 days
- Actual shipping time: 45-60 days
- Result: plastic manufacturers couldn't predict when materials would arrive, making production scheduling impossible
2. Equipment and machinery problems:
Injection molding machine breakdowns:
Typical scenario:
- Problem: hydraulic system failure on main production line
- Immediate impact: 24-48 hour repair time
- Production loss: 100,000 parts not produced
- Ripple effect: subsequent products delayed while catching up on backlog
Automotive parts supplier:
Example:
- Machine breakdown during peak season (preparing for new car model launch)
- Repair required specialized technician from Germany (5-day delay)
- Customer (Ford) had to delay vehicle assembly line
- Total cost impact: $2 million in penalties and expedited shipping
Case Sstudy of phone cases maker:
- Cause: Contaminated plastic caused mold cavity damage
- Repair time: 2 weeks (mold sent to specialist repair shop)
- Impact: 200,000 phone cases delayed
- Customer reaction: Samsung had to air-freight cases from backup supplier at 10x normal cost
Failed quality tests:
Example of a medical device manufacturer:
- Problem: batch of 50,000 syringes fails sterility testing
- Root cause: contamination during molding process
- Resolution time: 1 week to identify problem, 2 weeks to fix process
- Impact: 3-week delay for critical medical supplies
- Additional cost: $500,000 in scrapped parts plus expedited replacement production
Scenario of a toy manufacturer before Christmas season:
- Issue: red plastic doesn't match approved color standard
- Discovery: after producing 100,000 toy parts
- Solution time: 5 days to adjust color formulation
- Impact: entire batch scrapped, 2-week delay during peak season
- Result: toys arrived after Christmas, 70% sales loss
Skilled worker shortages:
Industry example:
Injection molding technician shortage:
- Problem: only 2 qualified technicians for 10 machines
- Normal capacity: 3 shifts, 24/7 operation
- Reduced capacity: 2 shifts, 16-hour operation (33% reduction)
- Customer impact: all orders delayed by 50%
Scenario of a key technician sick leave:
- Normal setup time: 2 hours
- Replacement worker setup time: 8 hours (less experienced)
- Lost production: 6 hours × 1,000 parts/hour = 6,000 parts
- Delivery delay: 1 day for this customer, ripple effect on others
Power outages:
Real example:
Summer heat wave causes rolling blackouts:
- Injection molding machines require consistent power
- 4-hour power outage = 8-hour delay (restart and warm-up time)
- Cooling water systems fail, additional 2-hour delay
- Total impact: 50,000 parts delayed by 1 day
Case of a resin producer during energy crisis:
- Natural gas needed to heat raw materials
- Shortage forces 50% production reduction for 3 weeks
- Downstream impact: all plastic converters face material shortages
- Industry-wide delays: 4-6 weeks across entire supply chain
FDA approval delays:
Medical example:
New material for food packaging:
- Expected approval time: 6 months
- Actual approval time: 18 months
- Customer impact: product launch delayed by 1 year
- Business cost: $10 million in lost revenue
Scenario of new emissions regulations:
- Requirement: install new air filtration system
- Installation time: 6 weeks
- Production shutdown: complete halt during installation
- Customer notification: 8 weeks advance notice required
Automotive industry:
- 2021 Chip Shortage Related Plastic Delays:
- Car production slowed due to semiconductor shortage
- Plastic parts suppliers had to constantly adjust schedules
- Example: dashboard manufacturer
- Normal order: 10,000 dashboards/week
- Revised orders: 3,000 one week, 15,000 the next
- Impact: constant setup changes, efficiency dropped 40%
- Worker overtime: $2 million extra labor costs
Seasonal toy production:
- Customer: major toy retailer preparing for Christmas
- Delay cause: mold modification required for safety compliance
- Timing: september (peak production season)
- Original plan: 2 million toys by November 1
- Actual delivery: 1.5 million by December 15
- Result: 25% sales loss, retailer switched to alternate supplier
Inventory management:
Example of a manufacturer that keeps:
- 30-day resin inventory (versus industry standard of 7 days)
- Backup molds for critical parts
- Spare parts inventory for all machines
- Cost: 15% higher carrying costs
- Benefit: 90% fewer delays due to material/equipment issues
Case study of an electronics manufacturer:
- Strategy: qualify 3 suppliers for each critical material
- Cost: 5% higher material costs (smaller volumes)
- Benefit: when primary supplier had fire, switched to backup in 48 hours
- Competition advantage: delivered on time while competitors delayed 6 weeks
Example of an advanced manufacturer:
- Technology: sensors monitor machine vibration, temperature
- Prediction: system warns 2 weeks before potential failure
- Action: schedule maintenance during planned downtime
- Result: 75% reduction in unexpected breakdowns
Early warning systems example:
- Weekly supplier calls to identify potential issues
- Monthly capacity planning meetings with customers
- Quarterly risk assessment reviews
- Result: problems identified 4-6 weeks early, solutions implemented before delays occur
Professional response example:
When delays occur, leading companies:
- Notify customers within 24 hours of discovering issue
- Provide detailed explanation and recovery plan
- Offer alternatives (expedited shipping, partial deliveries)
- Give daily updates until resolution
- Result: 90% customer retention despite delays
Direct costs:
- Lost production: $10,000-50,000 per day for medium-sized operation
- Overtime labor: 50-100% premium pay
- Expedited shipping: 500-1000% normal transportation costs
- Customer penalties: 1-10% of order value
- Lost customers: 20-30% may switch suppliers after major delays
- Reputation damage: can take 2-3 years to rebuild
- Emergency inventory: 20-30% higher carrying costs
- Rush orders from suppliers: 25-50% material cost premiums
- World-class manufacturers: 95% on-time delivery
- Average manufacturers: 85% on-time delivery
- Poor performers: 70% on-time delivery
Comments
Post a Comment