Sourced robotics and artificial intelligence context
Models, sensors, controls, and deployed machines: SAP PP
A 2023 Urban Redevelopment Authority report describes Pittsburgh's National Robotics Engineering Center and its work across energy, agriculture, defense, and manufacturing, with a regional network of robotics and AI companies. Translate the operating setting into material masters, planning strategies, lot sizes, bills of material, routings, work centers, and order controls. Ask the consultant to trace one product from demand through confirmation and receipt. Robotics delivery can join models, perception, controls, embedded software, sensors, simulation, test hardware, safety constraints, fleet data, and field support.
Evidence to request: Use a demand-to-production exercise and require planning, supply, capacity, order, confirmation, quality, and costing decisions. Define the machine and environment, autonomy boundary, sensor inputs, safety owner, test protocol, deployment target, failure response, and production evidence.
Sourced advanced manufacturing context
Engineering, production, and quality controls: SAP PP
The Urban Redevelopment Authority's 2019 opportunity-zone prospectus identifies advanced manufacturing among the industry clusters supported by Pittsburgh's research and development base. Set boundaries among PP, Materials Management, Sales, Quality Management, plant maintenance, costing, warehouse tools, and manufacturing systems. Require a comparable integration example with recovery steps. Advanced manufacturing work may connect product models, parts, machines, instructions, schedules, quality results, maintenance, suppliers, and cost records through long equipment lifecycles.
Evidence to request: Review a shop-floor or planning interface with mapping, timing, failure handling, replay, and production reconciliation. Set the product, process, facility, system boundaries, configuration baseline, equipment interfaces, quality release, cutover limits, traceability, and support ownership.
Sourced life sciences context
Clinical, research, and health operations: SAP PP
The same Pittsburgh prospectus identifies life sciences as a research-supported cluster and describes a regional base that includes health care and university research institutions. Define data, testing, cutover, and plant-support ownership. Candidates should cover materials, recipes or routings, resources, inventory, open orders, planning runs, interfaces, and operational sign-off. Life-sciences roles can sit in discovery, clinical care, laboratory operations, regulated products, manufacturing, or enterprise functions with different evidence and access requirements.
Evidence to request: Ask for a plant cutover or planning recovery the consultant owned, including stock, open orders, jobs, exceptions, and fallback. Name the scientific, clinical, product, or business process, regulated boundary, record authority, validation need, access controls, retention rule, and approving reviewer.