Value Engineering Services, Value Analysis and Value Engineering (VAVE)

Value Engineering Services

• Information Acquisition: Costs and functional requirements Analysis
• Thinking Creatively: Identification of concepts and potential remedies.
• Evaluate: Examination of concepts for future development.
• Develop: Analysing the ideas we have picked in depth.
• Present: Share concepts with stakeholders.
• Implement: Putting the chosen strategy into action.
• Our VA-VE Initiatives Distinguishes features from functions.
• We Obtains Multi-Disciplinary Support during VAVE Initiative.
• Our VAVE team Produce Numerous Ideas during Value Analysis and Value Engineering process.

Should Costing

• Argus should costing services have helped our clients determine component or product price based on the cost of the raw materials, type of make, and various other overhead expenses.
• We provide you with should cost models that evaluate cost-to-function and cost-to-feature of any given component or product.
• Cost optimization based on the should-cost models.
• Detailed analysis with the reports for benchmarking.
• Surveying alternate methods of manufacturing using should-cost data Analysis.
• Fact-based negotiation support.
• Should-cost analysis for design iterations.

Component Engineering

• Pricing, lead time, MOQ/SPQ.
• Environmental compliance (ROHS/WEEE).
• Material Declaration.
• Lead Finish, Soldering Profile.
• Whisker data.
• PCN/PDN Management
• Component Engineering includes Support on Reliability, Thermal, and Packaging information.
• Procurement technical support.
• Parts management: military and commercial systems.
• Supplier Quality Auditing and Engineering.
• performance optimization.
• Platform migration
• BOM optimization.

Life cycle Management

• Forecasting – predicting obsolescence risk or dates(frequency of obsolescence). We Use long-term forecasting while continuously monitoring the supply chain for precursors. Abandon the long-term forecast when precursors appear.
• Mitigation – minimizing the impact of the problem after it occurs using a set of reactive firefighting approaches.
• Planning - planning design refreshes based on forecasted obsolescence dates and technology insertion roadmaps in order to minimize part life cycle Management costs.
• Parts Chasing-Accurately provide the current status of item.

Supply Chain Managament

• Electronic Sourcing team analyses sourcing network, identify & selects the best source for a requirement.
• Authorized buying with COC.
• Direct Negotiation with Manufacturer.
• Connection with obsolete part stockiest.
• Decision control to select a distributor.
• Alliance with Tier-1 suppliers for global procurement.
• Buying and planning linked to corporate commodity management.
• Experience with imports, customs duties & tariffs.

Electronics Manufacturing Feasibility Analysis

• Manufacturer’s requirement for volume manufacturing is very important aspects that need to be identified before design & building the prototypes. Using sketch data of PCB, PCA we analyze your product potential for manufacturing success.
• Manufacturing SWOT Analysis.
• NPI & PPAP Process Mapping.
• Compliance & Legal Assistance.
• Manufacturing Feasibility Analysis includes Cost Analysis, Profit Analysis and Risk Analysis.

End-Of-Life ( EOL) & Change Management

• Technological changes become more rapid in all semiconductor devices.
• Our semiconductor and distributor partnership program continuously monitoring product roadmap to ensure that your product will not be affected by an obsolete part.
• Component Level End-Of-Life (EOL) Study.
• Obsolescence Management.
• Obsolete Part Inventory Support.
• Change Implementation Support.

Obsolescence Management

• Short-Term Obsolescence Forecasting by Observing the supply chain for precursors to the part’s discontinuance including parameters such as reduction in the number of sources, reduction in inventory levels, Part price increases and Announcements made by the part manufacturer.
• Long-Term Obsolescence solutions by Forecasting based on part attributes and/or data mining of the historical record performed prior to the appearance of any precursors to discontinuance.