Manufacturing Planning and Control for Supply Chain Management¶
Vollmann, T. E., Berry, W. L., Whybark, D. C., & Jacobs, F. R. (2005). Manufacturing Planning and Control for Supply Chain Management. McGraw-Hill.
Cited by¶
3 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Available-to-Promise
- The classical MRP/ERP formulation runs a time-bucketed ledger: on-hand inventory plus scheduled receipts in each future period, minus quantities already promised to existing orders, yields the residual available to accept new commitments in that bucket
This sourceGives the book's ATP row and worked arithmetic: on-hand plus the period's receipt minus the customer orders due there, computed week by week in the available-to-promise display. The book names SAP and Oracle as ERP vendors and computes available-to-promise from the master production schedule; the text checked does not say ATP is a standard module in those ERP systems.
SupportedVerified against a saved copy of the source
“FIGURE 6.19 {{{Available-to}}}- Promise”
- The classical MRP/ERP formulation runs a time-bucketed ledger: on-hand inventory plus scheduled receipts in each future period, minus quantities already promised to existing orders, yields the residual available to accept new commitments in that bucket
- Plan-Execute Gap
- The plan was constructed at a coarser granularity (weekly or monthly buckets, aggregate capacity, idealised lead times) against a constraint model that omits the binding fine-grained realities the execution layer faces: hour-by-hour labour availability, dock-door scheduling windows, allergen-changeover sequencing rules, equipment fault states, instrument-tray readiness, picking-route congestion.
This sourceThe manufacturing planning hierarchy in which aggregate planning feeds master production scheduling, the coarse-grained level at which the plan is built.
Supported in partVerified against a saved copy of the source
“schematic that shows the relationship of the aggregate planning and the master production scheduling models”
- The plan was constructed at a coarser granularity (weekly or monthly buckets, aggregate capacity, idealised lead times) against a constraint model that omits the binding fine-grained realities the execution layer faces: hour-by-hour labour availability, dock-door scheduling windows, allergen-changeover sequencing rules, equipment fault states, instrument-tray readiness, picking-route congestion.
Mechanisms¶
- Lead-Time Change Notice
- Its strength is that it manufactures anticipation out of pure coordination — no faster loop, no forecast risk — which is why frozen zones (time fences) are a staple of production planning.
This sourceDescribes master-production-schedule time fencing as an extension of schedule freezing, with a near-term frozen zone in which changes are normally barred.
- Its strength is that it manufactures anticipation out of pure coordination — no faster loop, no forecast risk — which is why frozen zones (time fences) are a staple of production planning.
Verification¶
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