Industry digitalisation analysis

Waste management and recycling: opportunities for digitalization

Clear waste path from collection to treatment

Digital maturity

Typical digital maturity

Shows the level of digitalisation companies in this line of business typically operate at.

The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data.

A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.

medium
Digitalisation potential

Digitalisation potential

Shows the scale of business impact digitalisation could have in this line of business.

It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions.

A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.

84/100
Biggest challenge
Work plans contain inconsistent equipment and readiness data
Biggest opportunity
Clear waste path and more precisely based accounts

Operating model

The collection company plans voyages and serves containers. The reception area weighs and records waste, and the recycler manages the treatment and quality of the materials received.

Waste collection and transport

The company plans routes, picks up waste and passes it to the manager. Approvals of collection, weighing and recipient are important to it.

Management of manufacturing and construction waste

A container is built, replaced and shipped to the customer. The composition and quantity of waste is checked at the reception point, and treatment is planned according to the available site capabilities.

Sorting and recycling

The site records the quantities accepted, treatment and materials received. If flows are mixed, their origins and quantities are traced according to the approved records of lots or periods.

Final disposal of waste

The operator checks the suitability, available capacity and condition of the disposal facility for the waste being accepted. The result of the activity is assessed against safe reception and handling.

Market context

Waste collection, sorting and recycling can take place in different locations within the company or at partners. Reliable pickups, clear weighing data and an understandable bill are important to the business customer. The operator's result is affected by the cost of the assembly, the composition of the accepted flow and the value of the recovered material.

  • Service ReliabilityContainer replacement, failed pick-up and changed quantity must reach the customer and dispatcher in time.
  • Justification of quantities and priceWeighing, receiving and processing records help explain the bill and investigate differences.

Workflow and responsibilities

01

Accepted order

Compatible waste type, quantity basis, location and specific service conditions.

02

Collection and transmission

Real service and transfer facts are fixed, keeping the document time required.

03

Admission decision

The quantity and quality basis are checked against the terms of a specific site.

04

Processing and movement

Batches and mixtures are associated with the operation, stock change and verified result.

05

Release and evaluation

The amount and status released have the right basis, and the analysis explains the real limitation of the process.

Digital maturity scale

1

Separate records and manual work

Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.

2

Organised data within individual teams

Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.

3

Partially integrated systems

Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.

4

Coordinated systems and teams

Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.

5

Continuous measurement and improvement

The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.

Executive conclusion

The collection, weighing and processing data need to be linked to a specific waste stream. This helps to explain the differences in quantities and to assess where capacity is really lacking.

Related digitalisation topics

Traceability of shipments and batches of wasteOptimization of assembly routesProcessing mass balance

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