STAMP Incident Investigation: Control Structures as a Tool to Intervene



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Transcriptie:

STAMP Incident Investigation: Control Structures as a Tool to Intervene Rob Hoitsma Kirsten van Schaardenburgh

Our goals today To show you our use of STAMP during incident investigation To share with you the results so far our recommendations

Questions you migth have 1. Who is NEDTRAIN? 2. What is NEDTRAIN s traditional way of incident investigation? 3. Why did you introduce STAMP? 4. How did you apply STAMP? 5. Can you show us an example? 6. What are the results of using STAMP till now? 7. What would you recommend us?

1. NedTrain & NS Onnen Maastricht Amsterdam Leidschendam Amsterdam NS: Operator & Owner rolling stock Daily inspection & cleaning 30 servicelocations Groningen Depot Line Maintenance 30.000-100.000 km Repairs Den Haag Maastricht Component Overhaul NedTrain: Subsidiary of Dutch Railways (NS) Maintenance, Repair & Overhaul of NS fleet 3100 emplyees R & O Haarlem Overhaul and modernisations 15-20 years Damage repairs

2. NEDTRAIN s incident investigation Incidents & near misses: Railtraffic (shunting), Occupational health Train safety Approx. 100 investigations/yr Proces: Interviews Data analysis Multi Timeline & animation Analysis & conclusions Check & suggestions; by presenting to all involved Measures & management learning; by presenting to management New: STAMP analysis to improve last step 5

3. Reasons for introducing STAMP Nancy s lecture on STAMP in Amsterdam 2014 Desire to include systems thinking in incident investigation Desire to include mental models in incident investigation Desire to change thinking of management they did it wrong why did it make sense? It s up to the workfloor I have a stake! 6

4. Application of STAMP: context Little experience in applying STAMP during incident investigation at NEDTRAIN: none in the Netherlands: limited, mainly Dutch Safety Board No handbook No training courses Solution: hands-on coaching by experienced user, just start! 7

4. Application of STAMP: STEPS 1. Consider the added value of STAMP 2. Define the undesired event and relevant hazards 3. Identify relevant components in the system 4. Specify for each component: Responsibilities relevant for controlling the hazards Control actions (constraints given to other components) Feedback 5. Evaluate the control structure Control/feedback: absent, wrong, missing, too late, ineffective? System: how effective is it in controlling the hazards? Control Structure 8

5. Example: Train on track available for other train Near miss caused by SPAD at Heerlen, Netherlands, 29-8-2014, 19:28 9!

5. Example: high potential! Amsterdam Singelgracht, april 21 2012: 1 passenger killed, 190 injured Right train passed signal at danger

5. Example: Investigation Focus on understanding: What happened? How did it happen? Why did it make sense? Interviews individually based on MEDA (Boeing) focus on Human Factors Analysis of onboard datarecorder traffic control data voice logging

Timeline august 29 37 years of experience, 14 years as shunting driver. Last late shift in row of 5. Fit but a sandwich didn t fall well (several visits to bathroom) Driver 1 NedTrain Starts shift at 14:00. No work till 16:00. Waits for train NSR 6959 at platform 1/2. Train arrives on schedule at 19:11 19:11 19:17 Train arrives, driver NSR leaves. Driver NedTrain checks if train is empty and gets in. His job: shunt empty train to platform track 205 Gets blinking yellow signal to leave for track 211. Stops 44 meters past signal 100. Changes sides Drives to signal 100, sees that it shows red Brakes very late and speed exceeds speedlimit in ATP system wich is activated. Driver sees this as a malfunction of ATP 19:22 Overrides ATP VV by unconsiously pressing reset button twice within 3 seconds in stead of once to reset Sees blinking white lamps aside service crossing and closing of level crossing 19:2719:28 Sees a member of public crossing closed level crossing right in front of him Starts driving past red signal. Doesn t see it is still red Sees switch 93 is in the wrong direction and applies emergency brakes Driver 2 NSR 205 Platform 4/5 Friday Heerlen Arrives at track 202 to leave for Stolberg (Germany). Planned departure 19:28 barrier Leaves platform and speed is approx 20 km/h Sees signal 88 turning red and applies emenergcy brake. Stops in time 204 levelcrossing 100 Landgraaf Stolberg (Ger) 203 202 Monday to thursday 88 servicecrossing 50 meters 93 91 ATP vv 211 Trackside equipment in order 201 Mgt & organisation Platform 1/2 Late and strong braking is normal for shunting drivers (uncomfortable, but never passengers on board and fastest way of working) Not acc. expectation 12 Missed signal Trigger or contributing factor Use of ATP VV in this manner is unknown by instructor-driver. Especially older Shunting drivers hardly ever drivers and around drive in area s covered with ATP. workshop Maastricht They drive on yards around use it this way due to stations and workshops. ATP VV frequently shunting is relatively new and braking by trains with defects ATP VV isn t expected. Speed [km/h] Monday 25 ATP till thursday VV activated directly to 204 without crosspassing train to 20 Germany. Only on Friday to 205 15and waiting for crossing train. Blinking lights on 10 servicepath on Friday NOT for this 5train (servicepath is not crossing track 205!) Distance to signal 100 0 Signal 100 ATP VV Braking curve Panel in dashboard train 44 meter cockpit. Traindesign is of 1960 s, ATP added in 1980 s, ATP VV added 2010

5. Example: Could this have happened to others? Human Factors: Experience: ATP VV system override common practice Confirmation bias: several signals triggering standard script Distraction: members of public passing closed barriers Contributing factors: Knowledge of ATP VV Friday - different route & timing Check with other drivers: This could happen to me too! 13

5. Example: STAMP Steps 1. Consider the added value of STAMP 2. Define the undesired event and relevant hazards 3. Identify relevant components in the system 4. Specify for each component: Responsibilities relevant for controlling the hazards Control actions (constraints given to other components) Feedback 5. Evaluate the control structure Control/feedback: absent, wrong, missing, too late, ineffective? System: how effective is it in controlling the hazards? Control Structure 14

5. Example: STAMP Steps 1-3 1. Added value: to include responsibility at higher levels, systems thinking 2. Undesired event & relevant hazards: 1. Undesired event = collision of two trains 2. Hazard = train on track, given available for another train 3. Systems goal = to run multiple trains on infra 3. Relevant components in the system: 1. Infrastructure 5. frontline manager 2. Drivers 6. driver -instructor 3. Trains 7. site-manager 4. Systems in the train (train controls,atp), in the infra 15

5. Example: STAMP Step 4-5 16 4. Specify for each component: Responsibilities: safe operation within boudaries Control actions: accelerate, break, switch on/off, etc Feedback: position, speed, etc 5. Evaluate the control structure Control/feedback System Bedienen Trdl CBG VPT Seinen Geen signalering als een trein door STS Systeem laat onjuiste bezetting zien Bediening seinen Bezetting Bediening wissels Waarnemen Geen bediening sein tegentrein zolang niet fysiek in sectie Detectie Bezetting sectie Tractie Remmen Mcn BB Patronen Afleiding Dubbele besturing. Werkt verwarring in de hand Trein besturing ingrijpen V locatie Werking ATB ATB VV ATB VV baan Bedienen (her)instructies Wordt vooral gezegd /voorgedaan hoe het moet, niet eerst gekeken hoe mcn het zelf doet Treintoestand (V, alarmen etc.) Infra toestand (wido, wissels, mensen etc. Beperkt beeld van het complete plaatje. Werkt patronen en interpretaties in de hand Makkelijk uit te zetten in Mat 64 Blunt end Sharp End

5. Example: STAMP control structure Pdm Onderlinge afstemming is nu onvoldoende. Inzichten komen nu vooral via incidenten boven VBS ILT Teamleider Treindienstleiders CBG Informatie over praktijk Andere Teamleider Onvoldoende kennis en tijd om risico s te herkennen Alertmeldingen Observaties Meeluisteren Open gesprekken TWO Waarnemingen tijdens dienst Manager Beeld van TL en mcn n en werkwijzen vs compliance coaching Bijsturen Aanspreken Function. gesprek Bila Teamleider LOG Beeld van mcn n en werkwijzen Observaties Meewerken Opm op VBS Vragen over praktijk vs ILT/wet Is er minder dan 25% v.d. tijd Incidentonderzoeken Inspectieresultaten Auditbevindingen nieuw VIL Begeleidingen Beeld van mcn n en werkwijzen Feedback VBS Handboek MCN Afdeling SPV Beeld van voldoen aan regeks Inspecties Audits Incidenten Trdl CBG Seinen Waarnemen Mcn BB Patronen Afleiding Werking ATB Sharp End (her)instructies Wordt vooral gezegd /voorgedaan hoe het moet, niet eerst gekeken hoe mcn het zelf doet 17 Bedienen VPT Geen signalering als een trein door STS Systeem laat onjuiste bezetting zien Bediening seinen Bezetting Bediening wissels Geen bediening sein tegentrein zolang niet fysiek in sectie Detectie Bezetting sectie Tractie Remmen Dubbele besturing. Werkt verwarring in de hand Trein besturing ingrijpen V locatie ATB VV Bedienen Treintoestand (V, alarmen etc.) Infra toestand (wido, wissels, mensen etc. Beperkt beeld van het complete plaatje. Werkt patronen en interpretaties in de hand Makkelijk uit te zetten in Mat 64 ATB VV baan

5. Example: STAMP Could we see this coming? This incident was a combination of Expectations + self-learned optimizations + normal disturbances: it was all there already STAMP Explain: how does the system control the hazards that can lead to this type of incident Focus: how does the system control and monitor the drivers behaviours, expectations, self-learned patterns? Approach: dialogue with upper-management-levels on their roles 18

5. Example: STAMP control structure Driver- instructor Yearly instruction Mental model My duty is to train drivers and get them a license, also for ATP. Checking afterwards is no priority. It s normal they drive in their own way. Unaware of pattern No signals No control action No control action Site manager Frontline Manager Mental model Mental model My frontline manager knows what s going on. That s his responsibility. He will come up with problems when he cannot manage it No signals Never on workfloor of driver KPI s are green Traindriver has a license and periodic instructions by driver instructor. Not my job to check way of working of drivers in practice. We told them to stop for red signals. It s his responsibility No signals Never on workfloor of driver Start driving Driver Override brake Mental model Mental model of ATP VV and patterns: ATP doesn t work under 40 km/h, must be malfunction. Closing barriers and flashing lights Service crossing: OK for me! Train & track information: braking, ATP horn Off track signals: blinking lights, closing barriers Train controls speed ATP VV position 19 ATP VV Track

5. Example: Bottom line Board Conclusion: Mental model act sense Management won t learn: will not see erosion & dangerous patterns act. Manager Mental model sense act. Site manager Mental model sense Not aware that managers are not aware of how things work in real world and accuse in stead of creating a climate to be open and learn Future incidents will not be prevented act Driver instructor Mental model sense act Frontline Manager Mental model sense Not aware of these phenomena. Accusing the actions of the driver: we told you to stop for red signals! Driver Mental model Interpretation ATP VV Incomplete script act sense 20

6. Results so far Based on application in 10 cases Management not aware of patterns and work as done eyeopener! > more involved in incident investigation starts to accept local rationality of people at sharp end awareness of their own role grows awareness that the red line (control) is leading and the blue line (sense) is under developed starts to detect patterns and risks in their own processes Notions: Incident investigation itself is a form of sensing.. STAMP triggers thinking towards illusion of control structure 21

6. Recommendations 1. Use STAMP during your investigation when you are ready to exceed incident level 2. Use STAMP s control structure for a dialogue with higher level controllers: Did you know it worked this way on operational level? What is your role and responsibility in this? What information do you receive on how it works? How do you steer on adequate performance? 3. Focus on one level lower (not only the operational level) The role of a manager is to detect wether one level lower is detecting. 4. Use colors and animations to build up the model 22

Learning from incidents Level 1: taking measures on operator level: more instruction on ATP VV, using this case in toolboxmeetings with operators to point at patterns Level 2: enhancing the controlstructure to detect patterns and optimization of workmethods on forehand Investigate current control structure, supported bij STAMP Discussions with management where and how to improve detection (and see limitations) under construction at this moment! Level 3: being aware that our view on safety has to change Use cases like this on all levels to change from accusing and find the culprit! to why did it make sense to do what they did? This is the basic requirement to start learning in stead of just managing measures 23

Questions? Thank you for your attention