3. Were the plans feasible? Did the plans reflect all orefvtehael?constraints? What do after-action reviews 4 . Ae nrec et hi ne mp laannus feaxcet uc ur itnegd,?tMi meea sfourrep us crhc he adsuel eoarddehre r - acceptance in procurement, on-time delivery for inbound materials, and first-ass tender in logistics. 5. Ihsetlphere unused data in the organization that could ? Next Steps? At arkme et dh ewni tehx ti ns st ei gph. tAs cfcreopmt tthhai st ae nx iasltyi snigs , aydovua na rc ee dr epal da yn nt oi n g s4o. 3l u, mt i oanps t (hAe PdSe)ma ra en dn of ltoswu sf f iacni ednbt u. Ai l sd sphl ao nwnni ni ng Fmi ga us treer dsyasttaesmyss.tems to support conventional advanced planning Then, take the journey one step further, build a decision architecture to enable continual design and refinement of mc hoeds terl as ttioo ne nt oa bellei mwi hn aa tt -ei ft ha ne abl lyasci ks ahnodl ebs iw- dhi ri leec tdi eolni vael roi rn-g a flexible what-if modeling capability.
How to Drive Improvement? Wc o imt hp saon ime su mc ha pk reopmr oi sger easms ?i dS tt ha ret i bnyt eannsael yhzyipneg, shoomwedt ho i n g everyone in the organization can agree on, like order ful- fillment reliability. Ta hqeu amr et et hr ot od oa lnoagl yy zi se soirmd pe rl e- l. i Tnaekdei sacyr ee ap ra, ns ci xi ems . oFnot hr ms , oa r cross-functional team and ask: • Wpahttyedrnids.the Company short orders? Identify the • Wrohuytinaereisosrudeesr.s not shipped on time? Determine the • For each issue in the customer service analysis, ask, “When did we know? And, what did we know at the time of the decision?” • Use this information to understand the organizational black holes due to data and process latency. Map the data and process latency across the organization. As you do this mapping, ask yourself five questions: 1. Where are optimization engines not tethered to with decisions operating at the speed of market shifts? For example, are you using actual lead-time data? Or have you set it and forgotten it in the evolution of planning systems? 2 . Ws i ohnast ?dTaht ae ni s, caov na itlraabslte wt oh at et adma tsa asthtohue l dt i mb ee aovf adi leacbi -l e at the time of a decision.
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