Materials Cataloguing and Storage Planning Training Course

Participants can specify the core fields needed for controlled material records.

• Core material-master fields support identification, sourcing, storage and inventory control
• Mandatory versus conditional attributes determined by material type and usage
• Units of measure controlled through base, purchase, issue and conversion rules
• Manufacturer part numbers retained without replacing internal material identification
• Lifecycle status codes distinguish active, obsolete, blocked and superseded materials
• Data ownership assigned through create, change, approve and retire workflows

Participants can write standard material descriptions that support accurate identification.

• Noun-modifier naming conventions create consistent searchable material descriptions
• Functional name separates item identity from supplier brand and packaging
• Attribute sequence follows noun, type, size, material, rating and standard
• Abbreviations controlled through approved dictionaries and prohibited-term lists
• Technical specifications captured without copying uncontrolled supplier marketing descriptions
• Description-length rules accommodate ERP fields, labels and mobile scanning devices

Participants can select attributes that distinguish similar materials without over-specification.

• Attribute matrices identify discriminating characteristics for each material family
• Dimensional data recorded with tolerances, thread forms and measurement units
• Electrical items require voltage, current, protection rating and connection details
• Mechanical components specify material grade, pressure class and operating limits
• Consumables capture concentration, grade, shelf life and approved-use restrictions
• Repairable items include serialisation, exchangeability and repair-route requirements

Participants can apply classification and coding structures to organise material populations.

• UNSPSC hierarchy separates segment, family, class and commodity classifications
• Internal commodity trees reflect sourcing, reporting and warehouse-management requirements
• Classification rules distinguish functional use from physical material characteristics
• Stock codes designed with non-significant identifiers and controlled issue sequences
• Intelligent codes assessed against change risk, length and maintenance burden
• Cross-reference tables connect legacy codes, manufacturer numbers and new identifiers

Participants can create controlled material records from technical and commercial source data.

• Source documents assessed for drawings, datasheets, labels and supplier information
• Item-creation requests checked against approved catalogue specification requirements
• Material records built with descriptions, attributes, classifications and units
• Supporting documents linked using controlled filenames, revisions and retention rules
• Requester queries resolved through structured clarification and evidence collection
• First-pass quality checks confirm completeness, consistency and technical plausibility

Participants can identify, assess and resolve duplicate and near-duplicate material records.

• Exact duplicates identified through matching identifiers, descriptions and key attributes
• Near-duplicate analysis compares nouns, specifications, dimensions and manufacturer references
• Normalisation standardises abbreviations, units, punctuation and word-order variations
• Survivorship rules select retained records and preserve essential transaction history
• Merge decisions distinguish equivalent items from acceptable alternative materials
• Cleansing registers record decisions, approvals, redirects and unresolved exceptions

Participants can establish quality controls and governance for ongoing catalogue maintenance.

• ISO 8000 data-quality dimensions applied to material catalogue control
• Validation rules prevent incomplete records, invalid units and prohibited descriptions
• Approval workflows separate requester, technical reviewer and master-data authority
• Quality sampling plans measure error rates by field, class and creator
• Exception reports identify inactive items, missing attributes and expired documentation
• Catalogue governance charters define policy, ownership, escalation and review cadence

Participants can define storage conditions and preservation controls for material categories.

• Storage requirement profiles capture temperature, humidity, light and contamination limits
• Shelf-life controls apply receipt dates, expiry dates and first-expiry-first-out rules
• Preservation plans address corrosion, moisture, dust, vibration and ultraviolet exposure
• Sensitive electronic components require electrostatic discharge and moisture controls
• Hazardous materials segregated using safety data sheets and compatibility matrices
• High-value stock protected through restricted access, custody and security controls

Participants can design a logical warehouse location structure for controlled stock movements.

• Warehouse zones separate receiving, quarantine, bulk, picking, returns and dispatch
• Location codes combine site, building, zone, aisle, bay, level and bin
• Fixed-location and random-location strategies compared against operational requirements
• Physical dimensions captured for rack bays, bins, pallets and floor locations
• Travel paths designed around receiving, replenishment, picking and dispatch flows
• Quarantine locations control inspection failures, damaged stock and quality holds

Participants can match materials to suitable storage media and handling arrangements.

• Pallet racking selected using load, access, turnover and handling characteristics
• Shelving, drawers, bins and cabinets matched to item dimensions
• Floor storage rules account for stackability, weight limits and fire access
• Material-handling equipment assessed for lift height, aisle width and load capacity
• Ergonomic placement positions frequently handled items within safe reach zones
• Packaging standards protect items while supporting identification and quantity control

Participants can allocate materials to locations using demand, size and handling data.

• ABC analysis ranks items by annual issue value and movement frequency
• XYZ analysis distinguishes stable, variable and intermittent demand patterns
• Slotting rules combine velocity, cube, weight, affinity and picking method
• Space calculations convert inventory profiles into bin, rack and floor requirements
• Forward-pick locations sized using replenishment frequency and order-picking demand
• Location affinity groups commonly issued materials to reduce picker travel

Participants can define material-data and storage controls for inbound warehouse processes.

• Receiving checks verify purchase order, item identity, quantity and condition
• Barcode labelling links material codes, batch numbers, locations and handling units
• Put-away rules direct stock using compatibility, capacity and location status
• Directed replenishment maintains forward-pick availability from reserve storage locations
• Lot and serial controls preserve traceability through receipt, movement and issue
• Discrepancy procedures resolve overages, shortages, damage and unidentified materials

Participants can design count controls that protect catalogue and location accuracy.

• Cycle-count classes assigned using value, criticality, movement and risk criteria
• Count instructions control location sequence, blind counts and recount thresholds
• Root-cause analysis separates transaction errors, identification errors and location errors
• Inventory adjustments require evidence, approval limits and audit-trail documentation
• Location audits verify labels, capacities, condition codes and physical contents
• Accuracy dashboards track record accuracy, location accuracy and count completion

Participants can plan a controlled catalogue and storage improvement programme.

• Current-state assessment maps data defects, storage constraints and process failures
• Gap analysis compares present controls against target catalogue and warehouse standards
• Data migration plans define extraction, cleansing, validation, loading and reconciliation
• Change plans address user roles, procedures, training, communications and cutover
• Implementation risks assessed through likelihood, impact, control and contingency actions
• Performance reviews use catalogue quality, availability, utilisation and accuracy measures

Participants can build, review and present a complete material catalogue and storage-planning pack.

• Material catalogue specification defines naming, attributes, classes, codes and governance
• Sample material records demonstrate controlled descriptions, units and technical specifications
• Duplicate-control analysis identifies consolidation decisions, redirects and outstanding data gaps
• Storage requirement matrix assigns preservation, segregation, security and handling controls
• Location and slotting plan allocates materials using movement, cube and constraints
• Implementation roadmap sequences cleansing, layout changes, controls, owners and measures