Apparel & Sustainability

Garments made responsibly. Work study, line balancing, garment manufacturing, and life-cycle assessment for sustainable, circular textiles.

• Work Study: Method Study & Time Study — Finding the best way to do a job and how long it should take. Learn method study (select, record, examine, develop, install, maintain), process charts and symbols, flow diagrams, motion economy and therbligs, time study with a stopwatch (cycles, rating, normal time, allowances, standard time), required sample size, predetermined motion time systems (MTM, MOST), work sampling, and standards for planning and incentives — with Python for a full time study.
• Facility Layout & Assembly Line Balancing — Arranging work for smooth flow. Learn layout types (process, product, cellular, fixed-position), from–to charts and load–distance analysis, systematic layout planning (SLP) and relationship charts, material handling, cycle/takt time, precedence diagrams, line balancing heuristics (largest candidate rule, ranked positional weight), efficiency and balance delay, mixed-model lines and U-lines — with Python balancing an 8-task line.
• Apparel Manufacturing & Sustainable Textiles — From fabric to finished garment — responsibly. Learn the apparel process (design, pattern making, grading, marker planning, spreading, cutting, sewing, finishing, packing), SMV/SAM and work measurement, line efficiency, target setting and line balancing, sewing machines and stitch types, quality (AQL inspection), marker efficiency and fabric consumption, production systems (progressive bundle, modular, unit production), and sustainability (water, carbon and chemical footprints, recycling, circular fashion, LCA) — with Python for line output, efficiency, takt time and marker efficiency.
• Life-Cycle Assessment & the Circular Economy — Judging products by their whole life. Learn life-cycle thinking, ISO 14040/44 phases (goal and scope, inventory, impact assessment, interpretation), functional units and system boundaries (cradle-to-gate/grave/cradle), allocation, impact categories (climate, acidification, eutrophication, water, toxicity), break-even analysis, the waste hierarchy and circular-economy strategies (reduce, reuse, repair, remanufacture, recycle), EPR and design for environment — with Python comparing reusable and single-use bottles.