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SSS PROCESS TEAM. IMPROVED PLANNING Gari Jenkins. STANLEY FARM ROOM 4. 1415 - 1500 Thursday 28 Jun 07. Smoothing the Load.
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SSS PROCESS TEAM IMPROVED PLANNING Gari Jenkins STANLEY FARM ROOM 4. 1415 - 1500 Thursday 28 Jun 07
Smoothing the Load HYPOTHESIS A move towards a smooth or level maintenance load within each Naval Base will enable the bases and industrial partners to increase efficiency by more sensibly matching resources. Smoothing theUpkeep Loadacross & within the yards Smoothing theFTE Load within the yards Single integratated planning team
1 2 3 4 1. Allocation across the yards : Devonport Portsmouth Rosyth 2. Smoothing within the yards : Baseline Partial Optimal Smoothing the Load > UPKEEP SMOOTHING THE UPKEEP LOAD To quantify the projected annual benefits, a sensitivity analysis was undertaken to consider the impact of variations to the baseline load.
Smoothing the Load > UPKEEP • CAPTURING THE DATA • workshop held (all yards) to clarify the requirement • loading assumptions explored & outstanding issues clarified • proforma produced to capture the results
Smoothing the Load > UPKEEP RESULTS . Partial Optimal no identifiable savings when smoothing the load against the Partial criteria • Savings profile needs to be considered: • no load Sep 09 – Sep 10 (25% share) • no load Feb 10 – Sep 10 (33% share) • no initial savings (25% & 33% share) Notes: a. savings achieved via optimised utilisation & decreased overtime levels b. savings increase as allocation (load) increases
Smoothing the Load > UPKEEP RESULTS . Partial Optimal • Savings profile needs to be considered: • post 2015, T45 class will affect profile • above savings for 2009 - 2015 identifiable savings for Labour cost only – overtime / agency staff Notes: a. savings achieved via optimising productive time – manifest as decreased overtime / reduced Agency staff b. savings increase as allocation (load) increases c. figures assume load equi-proportioned across the skill-sets (need more analysis)
Smoothing the Load > UPKEEP RESULTS . Partial Optimal awaiting costings
1 2 3 4 Note: the SSS Cost Model will be used as the framework for costing Smoothing the Load > UPKEEP Optimal ANALYSIS Devonport Portsmouth Rosyth [ y% (Upkeep/Labour) ] x 0.25 + [ 12% (Upkeep/Labour) ] x 0.5 + £2.7M [ 6% (Upkeep/Labour) + 4% (Upkeep/Subcon) ] x 0.25 = (7.5 + 0.25y)% (Upkeep/Labour) + 1% (Upkeep/Subcon)
1 2 3 4 Note: the SSS Cost Model will be used as the framework for costing Smoothing the Load > UPKEEP Optimal ANALYSIS Devonport Portsmouth Rosyth Profile 3 Cost of Workpackage Partial Savings Optimal Savings £2.7M £2.7M Optimal Baseline Partial Smoothing Quotient
1 2 3 4 Smoothing the Load > UPKEEP Optimal ANALYSIS Devonport Portsmouth Rosyth programme Available Force Elements for Scheduling (AFES)
1 2 3 4 Note: the SSS Cost Model will be used as the framework for costing Smoothing the Load > UPKEEP Partial ANALYSIS Devonport Portsmouth Rosyth [ 3% (Upkeep/Labour) ] x 0.25 + £1.02M [ 7% (Upkeep/Labour) ] x 0.5 + [ 0% (Upkeep/Labour) + 0% (Upkeep/Subcon) ] x 0.25 = 2.66% (Upkeep/Labour) + 0% (Upkeep/Subcon)
Overview 1
Smoothing the Load > FTE SMOOTHING THE FTE LOAD A Defence Logistics Transformation Programme (DLTP) Study in 20061 estimated that £4M2 of savings (to RN Labour / sub con) could be realised with a fully level FTE maintenance programme. • Some points: • this was when the criteria (iaw CSAs) stated that the maximum concurrent loading was 4 streams – Fleet have now (via dialogue with SFMs) reduced this to 3. • a completely fully level load profile (taking into account seasonal variance) is highly unlikely - £4M would therefore appear to be the maximum saving (10% ci) 1 DGLF/DLOGMP/14/09 dated 10 Nov 06 refers. 2 estimated at £2M at each of the southern Naval bases
Smoothing the Load > FTE FTE LOAD PROFILE FOR 2007 > dated Mar 07
Smoothingthe Load 1 Confidence: MED
Best vfm Fleet Date HYPOTHESIS Flexibility through free slippage of Fleet Dates can result in savings to the cost of an Upkeep period. To quantify the projected annual benefits, a sensitivity analysis was undertaken to consider the impact of variations to last 2/3 completed Upkeep projects to identify how much could have been saved from labour & O/T costs as a result of moving (free slippage) the (actual) Fleet Date by : 1 weeks right 2 weeks right 3 weeks right
Best vfm Fleet Date Devonport Portsmouth proforma produced to capture the results Rosyth Total Savings: £2.15M
Best vfm Fleet Date RESULTS . • SUBJECTIVE / OBJECTIVE ANALYSIS . . .
Best vfm Fleet Date RESULTS .
Best vfm Fleet Date RESULTS . • SUBJECTIVE ANALYSIS . . . because accurate forecasting of the effects/savings that could be attributed to ‘free slippage’ of FD is impossible. This is primarily because the requirement for O/T & sub-con support varies markedly from project to project depending on timing of the requirement / nature of the outstanding work / availability of in-house capacity and/or capability / potential effect on other projects / cost and availability of sub-con support at the time • Experience has shown that work expands to fill the time available. Therefore any extension of TIH becomes, albeit unintentionally, the catalyst for an increase in project cost rather than a reduction. • Resulting from FD slippage, time related costs would normally exceed savings. Examples are: • - sustainment of Project management team • - electricity supply • - cleaning and fire sentry requirement • - berthing • - further BOM capability insertion
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