Industrial Engineer Office Automation study materials
Industrial Engineer Office Automation study resources

Industrial Engineer Office Automation study plan

Industrial Engineer Office Automation · Give each week a clear focus.

8 weeks · About 6 hours per week

Week 1

Office Automation Systems and Productivity Software

  • Map the productivity-suite feature set (word processing, spreadsheets, presentations, email/collaboration) against a checklist of exam-relevant capabilities, marking each as known, shaky, or unknown.

  • Build a spreadsheet workbook that demonstrates lookup functions, pivot summaries, conditional formatting, and data validation on a 200-row sample dataset.

  • Write a one-page comparison of document templates, styles, and mail-merge workflows, noting where automation replaces manual steps.

  • Configure a personal macro or script that automates one repetitive office task end to end and record the before/after time.

Your checkpoint

A personal Office Automation capability matrix (features x confidence level) plus the working macro-enabled workbook with a short README of what each automation does.

Week 2

Office Automation Systems and Productivity Software & Information Systems, Databases, and Data Management

  • Draft a document-template and version-control standard for a fictional office, covering naming conventions, metadata fields, and review cycles.

  • Model a normalized relational schema (at least five tables, primary/foreign keys, one many-to-many resolved) for an office records system.

  • Write and run core SQL statements against your schema: SELECT with joins, GROUP BY aggregates, and a subquery filter.

  • Explain the difference between normalization and denormalization and state one reporting scenario favoring each.

Your checkpoint

An entity-relationship diagram plus a script file of at least 10 working SQL queries with commented expected outputs.

Week 3

Information Systems, Databases, and Data Management & Workflow Analysis, Process Modeling, and Business Process Improvement

  • Compare flat-file, relational, and document-oriented data stores on integrity, query flexibility, and scaling, and select one for a stated office use case with justification.

  • Produce an as-is process map (swimlane) for an approval workflow of at least eight steps, identifying handoffs and queues.

  • Apply a waste analysis to that map and label each non-value-adding step as delay, rework, over-processing, or transport.

  • Draft a to-be process that removes at least 30 percent of steps and state the assumed cycle-time reduction.

Your checkpoint

An as-is and to-be swimlane pair for one approval workflow, with a waste-tagging table and quantified step-count and cycle-time comparison.

Week 4

Workflow Analysis, Process Modeling, and Business Process Improvement & Industrial Engineering Methods: Work Measurement, Methods Study, and Ergonomics

  • Build a process model using BPMN conventions (start/end events, gateways, parallel split) for the to-be workflow and verify every path terminates correctly.

  • Define cycle time, throughput, and Little's Law for the workflow and compute expected work-in-process at a stated arrival rate.

  • Conduct a time study: define the observed element breakdown, compute mean observed time, apply a performance rating and allowance factor, and derive standard time.

  • Perform a methods-study analysis of one workstation using a questioning technique (why/what/where/when/who/how) and propose two ergonomic or layout improvements.

Your checkpoint

A time-study worksheet with element times, rating, allowances, and final standard time, plus a BPMN diagram of the same process.

Week 5

Industrial Engineering Methods: Work Measurement, Methods Study, and Ergonomics & Networks, Hardware, and IT Infrastructure for Office Environments

  • Apply work-sampling principles: size a sample for a desired confidence and precision, and interpret a completed observation summary.

  • Evaluate ergonomic risk factors (repetition, posture, force, duration) for an office workstation and recommend controls in a hierarchy-of-controls order.

  • Diagram an office network (LAN, WAN link, firewall, switch, wireless access point, servers, endpoints) and label each device's role.

  • Compare on-premises, cloud, and hybrid hosting for an office application on cost, latency, availability, and administrative burden.

  • Explain how bandwidth, latency, and redundancy affect a shared database or collaboration tool used by a distributed team.

Your checkpoint

A labeled office network diagram with a one-page hosting recommendation matrix scoring at least three options on four criteria.

Week 6

Project Management and Systems Implementation & Information Security, Privacy, and Regulatory Compliance

  • Build a work breakdown structure and critical-path schedule for an office-system implementation, identifying dependencies and float.

  • Identify project risks, score them on likelihood and impact, and assign a mitigation to each of the top five.

  • Map data-protection obligations (lawful basis, retention, access rights, breach notification) to the records handled in your week-2 schema.

  • Draft access-control rules (role-based) and an audit-logging requirement for the same system, tying each control to a specific risk.

  • Write a rollback and business-continuity outline for a failed go-live, including recovery time and recovery point targets.

Your checkpoint

A project charter package: WBS, critical-path schedule, top-five risk register, and a role-based access-control matrix mapped to data classes.

Week 7

Decision Support, Analytics, and Quantitative Methods & Project Management and Systems Implementation

  • Build a decision matrix with weighted criteria for a software selection and test the recommendation's sensitivity to weight changes.

  • Compute and interpret basic forecasting and descriptive statistics (moving average, standard deviation) on a small operations dataset.

  • Construct a break-even or cost-benefit analysis for an automation investment and state the payback period.

  • Review the week-6 schedule against actual progress assumptions and recompute earned-value indicators (planned value, earned value, cost variance).

Your checkpoint

A decision-support workbook containing the weighted selection matrix, a sensitivity check, a break-even analysis, and an earned-value summary table.

Week 8

Office Automation Systems and Productivity Software & Information Systems, Databases, and Data Management & Workflow Analysis, Process Modeling, and Business Process Improvement & Industrial Engineering Methods: Work Measurement, Methods Study, and Ergonomics & Networks, Hardware, and IT Infrastructure for Office Environments & Project Management and Systems Implementation & Information Security, Privacy, and Regulatory Compliance & Decision Support, Analytics, and Quantitative Methods

  • Re-audit the week-1 capability matrix and close or explicitly defer every remaining gap with a dated action.

  • Complete two timed mixed-domain practice sets and log every miss by domain and error type (knowledge gap, misread, calculation).

  • Re-derive from memory the key formulas: standard time, Little's Law, break-even, earned-value variances, and sampling size.

  • Write a one-page exam-day strategy covering pacing, question triage, and review order by domain weight.

Your checkpoint

A final gap-closure log with error-type tallies, a one-page formula sheet written from memory, and a timed practice-set score record.

Milestones

Week 2: Capability matrix shows no 'unknown' entries in Domain 1, and at least 10 SQL queries run correctly against the normalized schema.

Week 4: Can produce a standard time from raw element observations without notes, and the BPMN model passes a path-completeness check with no dangling gateways.

Week 6: Critical path and float are correctly identified on the implementation schedule, and every data class in the schema has an assigned access role and retention rule.

Week 8: Timed mixed-domain practice sets average at or above the target pass margin, with no domain below 60 percent and fewer than three calculation errors per set.