DHL Supply Chain nasadí 5 000 robotov Locus Origin v rôznych prevádzkach

Recommendation: roll out locusone automation throughout key facilities in asia-pacific to raise quality a productivity under the demanding norms of the industry, using remote monitoring and integrated systems that connect control towers, warehouses, and transport hubs to sustain performance against expectations.

In asia-pacific, the model relies on scalable hardware and software that can be scaled as needed, with locusone automation pulling data from the operational источник to inform decisions. The approach yields tangible gains in productivity and reduces cycle times, while ensuring quality a flexibilita throughout locations.

Such a framework supports the stringent expectations of the industry by enabling remote diagnostics, predictive maintenance, and integrated systems that keep expectations on target. The team has been maximizing throughput by combining machine-driven actions with human oversight, producing consistent results and reducing waste.

The initiative also stresses flexibilita to adapt to demand fluctuations in the asia-pacific market, allowing the network to respond without sacrificing quality. This is achieved through training modules, standard operating procedures, and a common systémy architecture that ties together planning, execution, and data governance.

The takeaway for decision-makers is that such a framework can scale while maintaining flexibilita and ensuring quality within asia-pacific operations, supported by data systémy a remote monitoring that keep expectations in check.

Deployment framework and operational impact

Recommendation: start with a phased, integrated rollout in core facilities located in three regions, using a common data fabric and standardized interfaces to meet demand while controlling costs.

• Framework and governance: establish an integrated control layer led by a central program office that represents regional operations, IT, and facilities. Define a single data model, standardized APIs, and risk controls to keep processing and fulfilment flows aligned with customer needs, while enabling rapid issue resolution.
• Capacity and demand alignment: implement dynamic scheduling that links order patterns to capacity planning, ensuring peaks are absorbed without impacting service levels. Track recent demand signals and shortfalls to adjust staffing and automation as needed.
• Phased expansion plan: design a scalable path that expands from high-demand locations to additional facilities, with clear milestones and a cadence for technology updates, performance reviews, and supplier alignment.
• Costs and flexibility: quantify capex vs. opex implications for each phase, emphasizing total costs of ownership and the value of flexibility to reallocate capacity as needed when shortages or demand swings occur.
• Technology stack integration: deploy an open, modular suite that integrates with existing processing facilities, warehouse management, and order management systems, reducing time to value and enabling rapid adaptation to changing industry practices.
• People, commitment, and training: embed a formal commitment to upskilling staff, with staged training that accelerates adoption and preserves safety and quality across locations. Treat training as a part of the core program rather than an afterthought.
• Operational impact and performance: expect notable improvements in fulfilment speed, order accuracy, and picked item throughput; aim for around a 20–30% uplift in key processing metrics while maintaining or reducing headcount. Monitor shortages risk and adjust inventory buffers to stabilize supply for customer orders.
• Risk and resilience: create fallback plans for recent disruptions in supply chains, including diversified supplier options and buffer stock where feasible, to prevent service gaps and preserve customer trust.
• Measurement and governance cadence: implement a tight scorecard with metrics on order cycle time, fill rate, picked rate, and defect rates, with monthly reviews to drive continuous improvement and alignment with industry benchmarks.

Phased rollout timeline and milestones

Recommendation: Initiate a two-location inception in Q1 to validate amrs integration with the warehouse management system and order routing, using a working baseline to measure demand driven efficiency gains. Set milestone 1 to achieve a good uplift through throughput and a meaningful cut in walking distance within 30 days of go-live. Leverage learning here to accelerate future expansions, enabling further scalability in key markets and ahead of peak demand. This modern, right-sized rollout keeps operations safe and continues to deliver significant ROI.

Phase 1: Discovery and integration (Q1–Q2). Milestone 2: confirm WMS connections, calibrate amrs lanes, and validate safety interlocks; prove data integrity for task planning. Target a 15–20% uplift in throughput for high-volume SKUs and a 20–25% reduction in walking distance. Develop standard operating procedures and a workforce training plan to reduce friction and ensure working alignment across shifts. Confirm vendor support and set a maintenance cadence to achieve 99.5% uptime by week 4. This step reinforces the industry shift toward digitalization and sets a solid foundation here.

Phase 2: Expansion to 6 locations by end of Q3. Milestones: achieve 95% AMR uptime in primary lanes, reduce travel time by 25%, and normalize energy use across fleets. Implement a standardized rollout package, including firmware update cadence, route templates, and fault-diagnostic dashboards. Train staff for a modern, safe interaction with amrs, and integrate with labor management to optimize staffing during shortages and peak periods. The result is improved efficiency and better demand responsiveness within this network of facilities.

Phase 3: Broad rollout to additional facilities in year 2, achieving network wide saturation. Milestones: complete standardization package across all amrs; reach 50% higher throughput in dense zones; establish real-time dashboards for monitoring, predictive maintenance, and dynamic task reallocation. Prepare for market fluctuations and shortages by enabling flexible staffing and replenishment planning; use digitalization to keep performance aligned with growth plans and customer demand here.

KPIs and governance: track AMR uptime, picking accuracy, cycle time, energy intensity, maintenance cost per hour, and operator training completion. Schedule quarterly reviews with a cross-functional steering group; use a digital twin to validate layout changes; ensure safety and compliance; coordinate with supplier roadmaps to avoid obsolescence. Set targets by market segment to reflect different demand patterns and avoid shortages in supply constrained markets.

Conclusion: Following this phased timeline positions the organization to continue improving efficiency, scalability, and resilience, while addressing the complex requirements of the industry. By staying ahead through digitalization and leveraging amrs, the network can sustain good service levels through shortages and demand spikes here.

Site readiness criteria and equipment requirements

Conduct a two-week site readiness audit and lock in electrical capacity, data connectivity, and space prerequisites before any integration. Assign operators and a facilities liaison to own measurements, risk notes, and a milestone calendar that maps where the next steps happen. For california facilities, prioritize robust power redundancy and secure network paths to support an innovative, multi-module solution.

Space planning must allow a buffer around automated work areas: at least 2 m of clearance on all sides, 3 m wide aisles for locusbots to pass safely, and a dedicated inbound and outbound zone adjacent to the loading dock. Ensure floor flatness and markings support manual handling and automated movements, while keeping environments clean and free of trip hazards.

Electrical and data backbone: provide a 3-phase supply with 400/480 V at 60 Hz, dedicated feeders for each workstation cell, transformer protection, and UPS support for critical subsystems. Data should run on fiber with minimum 1 Gbps throughput, with latency under 20 ms, plus enterprise-grade Wi‑Fi coverage with roaming. Place edge compute and diagnostic devices within 10 m of locusbots to enable remote monitoring.

Safety and compliance: implement physical separation between pedestrian routes and automation zones, install emergency stops and interlocks, apply floor markings and locking rails near charging stations, and conduct a formal risk assessment. Establish PPE requirements and a clear lockout/tagout procedure, plus monthly safety drills documented in a workplace safety plan.

Equipment readiness and maintenance: specify two charging docks per automated module, spare parts including sensor kits, bearings, and power adapters, and a contingency stock to support a 6-week maintenance window without impacting throughput. Enable remote diagnostics and software updates during off-peak hours; contract with a service partner to deliver guaranteed response times and a proactive replacement cycle. Budget for a multi-million investment to cover both hardware and ongoing support. This creates a winning operational profile with steady uptime and predictable costs.

People, training, and process alignment: sally leads onboarding for operators and warehouse staff, aligning processes with the offerings of an innovative automation solution. Create standard operating procedures for throughput, fault handling, and escalation, and schedule hands-on practice in a controlled environment that mirrors real-world warehousing environments. Build a talent plan that supports growth and a future-ready workplace, including remote assistance options and cross-training to reduce risk.

Phased rollout and scaling: begin with a pilot in a single location in california, then expanding the advanced configuration into additional markets as demand grows. Define a growth plan with milestone metrics, where future capacity aligns with market demand and customer expectations. Track performance against cost-per-pick, cycle time, and remote uptime, and adjust the footprint to remain ahead of competitive pressure while preserving safety and quality. This approach aligns with a robust logistics strategy and supports long-term market leadership.

System integration: WMS, ERP, and APIs for robotics-enabled workflows

Capitalize on a unified integration layer that links WMS and ERP with the robotics platform through RESTful endpoints and event streams. Use a single, cutting-edge API gateway and a canonical data model to align items, orders, shipments, and tasks, reducing translation drift and enabling real-time orchestration that improve operational reliability. This approach is helping deliver tremendous flexibility, expanding operations throughout the worlds of e-commerce and retail fulfillment, and delivering value-added service to the customer with a strong emphasis on performance. Only a centralized model can deliver sustained gains.

Data model and translation: Define a canonical representation for entities such as item_id, batch, location_id, order_id, task_id, carrier_id, ETA, and status. Use an integration bus or iPaaS to translate, route, and persist events between WMS, ERP, and the robotics API layer. Include versioning, backwards compatibility, and schema evolution to minimise downtime. Consolidate data mapping rules to a single source of truth, enabling more predictable automation.

Security and governance: Implement OAuth 2.0, OpenID Connect, and mutual TLS; enforce least privilege and role-based access; enable audit trails; apply masking as needed. Use CI/CD and test sandboxes for integration changes to avoid production risk.

Operational efficiency and workforce: Consolidate data flows and workflows to reduce manual work; heavily automate repetitive tasks while maintaining operational discipline; this creates a more efficient workplace and frees the workforce to focus on exception handling and value-added work that improves customer outcomes. Thrilled teams see higher satisfaction and faster response times.

Analýzy a inteligencia: Sledujte metriky, ako sú časy cyklov, miery vychystávania, presnosť inventára a včasné doručenie. Používajte panely na monitorovanie trendov; inteligencia umožňuje prekonať očakávania zákazníkov a optimalizovať prepravu a plnenie. To umožňuje expanziu do nových lokalít a poskytuje obrovské poznatky s pridanou hodnotou. Využite tieto schopnosti na udržanie zlepšení v priebehu času.

Transformácia pracovnej sily: školenie, prerozdelenie a bezpečnosť

Odporúčanie: prijať rámec rekvalifikácie a prerozdelenia pracovnej sily riadený systémom locusone, ktorý spája pracovné úlohy s autonómnymi mobilnými robotmi (locusbotmi), aby sieť mohla optimalizovať priepustnosť a bezpečnosť. Táto transformácia rozširuje kapacity trhu a pripravuje pracovníkov na inštrumentálne úlohy v odvetví, vrátane lokalít v Kalifornii a partnerských zariadení.

Kde začať: priraďte každú pracovnú skupinu k digitálnemu pracovnému postupu, ktorý navedie pracovníkov k napĺňajúcejším úlohám; pomenované roly by mali byť umiestnené v rámci operačného rytmu a podporované technológiou. Vytvorte fázový plán, ktorý sa škáluje s rozširovaním digitalizácie, čím sa zabezpečí zisk trhu pri zachovaní vysokých bezpečnostných štandardov.

Plán školenia: poskytovať modulárny obsah so základnými hodinami a priebežnou aktualizáciou, využívať AR/VR simulácie, praktické cvičenia a vzájomné koučovanie. Používať údaje o výkone v reálnom čase na prispôsobenie programov, zosúladenie s dopravnými vzorcami AMR a úlohami Locusbotov. Spolupracovať s internými oddeleniami na odstránení nedostatkov v zručnostiach a urýchlení internej mobility, čo znižuje externé prijímanie zamestnancov v časti siete.

Stratégia prerozdelenia: prerozdelenie pracovníkov na úlohy optimalizácie plnenia a siete, zachovanie kariérnych ciest s menovaným prierezovým tímom, ktorý koordinuje míľniky. Vytvorenie transparentných kritérií mobility, vrátane signálov výkonnosti, záznamov o bezpečnosti a jazyka v pracovných ponukách, aby sa prilákali správni kandidáti. Tento krok znižuje fluktuáciu a pomáha udržať si kritické talenty s jasným riadením od partnerských funkcií na zabezpečenie plynulých prechodov.

Bezpečnosť: zaviesť formálne hodnotenie rizík, štandardné prevádzkové postupy, postupy blokovania/označovania, ergonomické pomôcky, hlásenie incidentov a takmer nehôd a telemetriu v reálnom čase od locusbotov na detekciu anomálií. Školte vedúcich pracovníkov, aby presadzovali postupy a rýchlo reagovali na odchýlky. Bezpečnostný program je nápomocný pri zachovaní blaha pracovníkov a kontinuity prevádzky, najmä v silne zaťažených zónach plnenia v Kalifornii a iných lokalitách trhu.

zdroj: markus, kalifornia

KPI, modelovanie nákladov a scenáre návratnosti investícií

Spustite 12-týždňový pilotný program v centrách v Kalifornii s použitím autonómnych robotov na preukázanie jednotkovej ekonomiky pred expanziou. Využite Faulk Analytics na stanovenie cieľov pre priepustnosť, presnosť a náhradu práce a zaviažte sa k postupnému zavádzaniu prostredníctvom ďalších centier spolu s robustným transformačným plánom pre pracovisko, s jasnými kritériami na rozšírenie v rámci siete, ak sa dosiahnu ciele.

Medzi kľúčové ukazovatele KPI v skladových operáciách patria priepustnosť (jednotky/hodinu), cyklus plnenia objednávok, presnosť vychystávania/ukladania, mzdové náklady na objednávku, výskyt nadčasov, prevádzkyschopnosť zariadení, náklady na údržbu robota a využitie priestoru; sledovať podľa zmeny a centra.

Nákladové modelovanie využíva metodológiu Faulk na kvantifikáciu CapEx pre roboty, nabíjacie stanice, softvérové licencie a systémovú integráciu; OpEx pokrýva údržbu, energiu, cloudové predplatné a priebežnú podporu; výpočtové úspory z náhrady práce, zníženia nadčasov, vyšších rýchlostí vychystávania a zlepšenej presnosti plnenia; zahŕňajú náklady na školenia a riadenie zmien, aby sa zohľadnila pripravenosť pracoviska, pričom sa zohľadňujú systémové vzájomné závislosti a načasovanie integrácie s existujúcimi systémami plnenia.

Scenáre návratnosti investícií predpokladajú tri spôsoby využitia. Konzervatívny: Kap. výdavky na jednotku 28 000 USD, 40 jednotiek na stredisko, celkové kap. výdavky 1,12 mil. USD; Prevádzkové výdavky 0,25 mil. USD/rok; úspora nákladov na prácu 0,50 mil. USD/rok; návratnosť 22 – 24 mesiacov; 3-ročná návratnosť investícií 120 – 150 %. Základný: Kap. výdavky 1,40 mil. USD; Prevádzkové výdavky 0,28 mil. USD/rok; úspora nákladov na prácu 0,75 mil. USD/rok; návratnosť 16 – 18 mesiacov; 3-ročná návratnosť investícií 170 – 210 %. Agresívny: Kap. výdavky 1,75 mil. USD; Prevádzkové výdavky 0,34 mil. USD/rok; úspora nákladov na prácu 1,10 mil. USD/rok; návratnosť 11 – 13 mesiacov; 3-ročná návratnosť investícií 230 – 310 %.

Medzi prevádzkové aspekty patrí zabezpečenie súladu s vedením spoločnosti, integrácia s ERP a systémami plnenia objednávok a školenie na minimalizáciu narušenia na pracovisku; plánovanie expanzie prostredníctvom centier pri zachovaní bezpečnosti a súladu a príprava plánu, ktorý podporuje expanziu prispôsobenú maloobchodníkom a ich ponukám v procesoch plnenia objednávok.

Rozšírenie prostredníctvom ďalších centier predstavuje obrovskú príležitosť na zvýšenie flexibility prevádzky, zvýšenie priepustnosti bez úmerného rastu počtu zamestnancov; táto transformácia umožňuje silnejšiu kapacitu plnenia objednávok spolu s ľudskými operátormi a podporuje väčšiu odolnosť pri zvyšovaní objemov, čím sa zvyšuje celková hodnotová ponuka pre maloobchodníkov prostredníctvom schopnejších ponúk.