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Manufacturing organizations must always deal with determining how to balance on-hand part inventories and suppliers' response times. Article 6 describes a project called supply chain, which focused on characterizing the various stochastic events influencing a manufacturing organization's shipment and inventory performance. A collection of statistical modeling assumptions, equations, and equation derivations are described that focus on minimizing on-hand inventory and optimizing supplier response time.
The supply chain approach models stochastic events influencing a manufacturing organization's shipment and inventory performance in the same way that a mechanical engineer models tolerance buildup in a new product design. The objectives are to minimize on-hand inventory and optimize supplier response times.
by Gregory A. Kruger
Appendix I: Derivation of
the Standard Deviation of Demand Given an R-Week Review
Period - fe97a6a.pdf
(18K)
Appendix II: The
Expected Value and Variance of On-Hand Inventory when there are
no Restrictions on Minimum Buy Quantities - fe97a6b.pdf (26K)
Appendix III: The
Expected Value and Variance of On-Hand Inventory when there Are
Restrictions on Minimum Buy Quantities- fe97a6c.pdf (22K)
Appendix IV:
Incorporating SRT (Supplier Response Time) into the Safety
Stock Calculations- fe97a6d.pdf (35K)
Appendix V: Derating the
Service Level to Account for Reduced Periods of Exposure to
Stock-outs as a Result of Minimum Buy or Economic Order
Quantities- fe97a6e.pdf
(15K)
Appendix VI: Estimating
Weekly Demand Uncertainty from Monthly Data - fe97a6f.pdf (14K)
Appendix VII: Adjusting
Safety Stock to Account for Yield Loss - fe97a6g.pdf (41K)
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(c) ©1997 Hewlett-Packard Company.
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108(a)(3)
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