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A multi-ndex assignment problem. Optimization of Fleet wide Long term Crew assignment. Orisma(c) A maritime challenge: Reinforce the human factor

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(1)

Crew assignment optimization

Optimization of

Fleet wide

Long term

Crew assignment

Orisma(c)

A multi-ndex assignment problem

A maritime challenge: Reinforce the human factor

(2)

Crew assignment optimization

Operation Research in Ships Manning

The approach

The whole is greater than the sum of parts

Taking the whole picture and looking forward in time

We create innovative solutions

(3)

Crew assignment optimization

Operation Research in Ships Manning

Particularities of marine profession

Working Adress : Ship name

/

Time contracted employment

Multi-national

Multi – culture environment without borders

(4)

Crew assignment optimization

Operation Research in Ships Manning

The conventional approach

Crew assignment Disembarkation list

Vessel Rank

Nationality

Sign off date (ESO)

Stand by list Seafarer

Rank

Nationality

Availability date (AF) Grade

(5)

Crew assignment optimization

Reinforcing the human factor

IS ENOUGH ?

Operation Research in Ships Manning

AD

(6)

Crew assignment optimization

Reinforcing the human factor

IS ENOUGH ?

Operation Research in Ships Manning

Living conditions

Resting hours, Leisure & Entertainment Internet access Satellite TV

Audio, video libraries

Private email & phone calls Briefing

Accomodation , victualling

(7)

Crew assignment optimization

Attractiveness of seafarer application

Lesson learnt from aviation

Operation Research in Ships Manning

Satisfaction factor

Aassignment to a vessel type according to the seafarer preference Promotion policy, potentiallity to work at shore

Teamwork factor

Seafarers should be satisfied from the crew synthesis on the vessel to be embarked

Suitability factor

Seafarer assignment to a vessel should br best fitted to his skills and experience

Working avaialbility trustiness

It is high important for the seafarer to feel confident that he will find employemt when he will be available in a suitable vessel

(8)

Crew assignment optimization

Attractiveness of seafarer application

Lesson learnt from aviation

Operation Research in Ships Manning

Shipping companies should have the appropriate decision

support tools to optimize their crew repository depth, the

long term assignment, the seafarers satisfaction level ,the

retention factor, the rejoin bonus, and, the travelling

expenses

(9)

Best Business Practices Officers’ pool size optimization

Officers’ satisfaction level improvement Embarkation duration refinement

Retention Factor improvement Alternative senarios comparison Stand by monetary cost minimization HRM strategic decision support

Risk managment, corrective actions and treatment plan support

What if and why analysis

(10)

A simple problem

n!

Operation Research in Ships Manning

The suitability penalty of each of three masters

To each of three vessels is presented in the next table Assign the masters to the vessels so the total penalty To be minimum

Solution: 167

The number of alternatives is : 6

If we have 5 Vessels and masters

The number of alterantives will be 120 For n vessels ? Vessels/Masters M1 M2 M3 V1 58 67 54 V2 59 68 55 V3 64 54 52 Vessels/Masters M1 M2 M3 V1 58 V2 55 V3 54

(11)

The officer performance evaluation

Technical competence HS&E awareness

Comittment and responsibility Conduct, skills and communication Productivity

Problem solving & decision making Leadership & teanworh

Planning & organization etc

OPI: Officer performance index

(12)

0 100 200 300 400 500 -50 0 50 Avai lab ilty p e n alty

Waiting time in days

Availability penalty index

Series1

Poly. (Series1)

Crew assignment optimization

Operation Research in Ships Manning

The officer vessel suitability

Licences

Nationality Availability

ESO: estimated sign on date AD: availability date

Experience in the same vessel Exeprience in sister vessels etc

(13)

Crew assignment optimization

Operation Research in Ships Manning

The teamwork efficiency index

OOI: The officer officer index : i=1Σn+1(P

i* di)/ (ed1+f-ed0) vessel officer officer assignment index

Each Seafarer is evaluated on a trimester basis. The outcome of this evaluation could be a color (green, yellow, red), which is the indicator that is used to find the correlation penalty with the other officers.

(14)

Crew assignment optimization

Operation Research in Ships Manning

The teamwork efficiency

Teamwork penalties based on master (M), Chief Engineer (C), Chief officer (O) and second engineer (Ss) grades

Penalties matrices 1 2 3 4 1 0 10 50 30 2 10 30 70 50 3 50 70 100 90 4 30 50 90 100 mo 1 2 3 4 1 0 15 60 35 2 10 30 80 50 3 50 70 100 90 4 30 50 100 100 cs 1 2 3 4 1 0 10 50 30 2 15 30 70 50 3 60 80 100 100 4 35 50 90 100

o

M C S

(15)

Crew assignment optimization

Operation Research in Ships Manning

The teamwork efficiency

OOI: The officer officer index : i=1Σn+1(P

i* di)/ (ed1+f-ed0)

pq= mc(g(m),g(c))+mo(g(m),g(o))+cs(g(c),g(e)) ed0 =current date: edn+1=ed1+f

f: embarkation period : n=4 For i:1 to n+1: di=edi-edi-1

1/10 2/13 3/20 4/20 6/21 7/22 days 34 36 31 62 31 194 m 3 3 1 1 1 c 3 2 2 2 2 o 2 2 2 2 1 s 1 1 1 2 2 mc 100 70 10 10 10 mo 70 70 15 15 0 cs 60 15 15 30 30 pi 230 155 40 55 40 99 tpi 40 29 6 18 6

(16)

Crew assignment optimization

Operation Research in Ships Manning

Functionali specifications

Human service interactivity : minimum response time is required

An officer may be assigned to only one vessel

An officer is not necessary to be assigned in a vessel

Solution should be provided even the team is not completed

Model should be used for whole or partial fleet even for one vessel Alternative solutions for a vessel should be presented in order

Decision maker may alter the schedule

Weight factors of the assignement index would be adjusted Performance, retention, cost indexes should be presented

(17)

Crew assignment optimization

Model in numbers

Interactivity enabled

Operation Research in Ships Manning

Arguments Value

Number of vessels 58

Variables : Number of quadrplutets 37329

Number of constraints 276

Model generation time 1 sec

Model solution time 2 secs

(18)

Crew assignment optimization

Fleet assignment presentation per vessel

Presentation per vessel or per rank

(19)

Crew assignment optimization

Fleet

Vessel Vessel

Team Team Team

Master Chief Eng Chied Off 2nd Eng

Fleet assignment objective function

Coordinates extention:

from one vessel to fleet from few days to several months

𝑚𝑖𝑛 𝑣𝑖=1 𝑞𝑗=1𝑝𝑖𝑗 𝑥𝑖𝑗 + 𝑣𝑖=1ℎ𝑥𝑖0 𝑥𝑖𝑗 + 𝑥𝑖0 𝑉 𝐼=1 𝑞(𝑖) 𝑗=1 = 1 ∀ 𝑖 = 1: 𝑣

q (i) : number of feasible q’s for vessel i h : high value penalty

pij : assignment penalty of quadruplet j to vessel I

xio : dummy variable for vessel i v : number of vessels

or : officer r

(20)

Crew assignment optimization

Benefits

Realized !

To: Avg Idle time saving per officer: 10 days/year Tf: Idle time saving per fleet : 4*#vessels*To=2400 days/year Cf: Idle time cost saving: : 1.600.000 $/year

Operation Research in Ships Manning

Crew Retention Factor : 10% increment: from 88 to 96% Satisfaction factor : 8% increment

(21)

Crew assignment optimization

Assign the right officer to right vessel in the right time

(22)

Challenges in The Maritime

Industry

Systemic model of safety

SEAHORSE

S

afety

E

nhancements in Transport by

A

chieving

(23)

Crew assignment optimization

Aviation best business practices

A lesson learnt from Aviation

Safety culture Being a safe crew – System Model of safety Preflight planning dispatch checklist Flight data monitoring system Just culture Mandatory safety reports Safety case structured document

(24)

Crew assignment optimization

Challenges in the Maritime Industry

Me too to be better than you

Being a safe crew

A lesson learnt from aviation

(25)

Crew assignment optimization

Systemic model of Safety in Aviation industry

The model is related to

Safety culture maturity

SMS in place

Indicators corresponding to «behavior» charateristics

Job satisfaction

Mutual expectation & encourangement

etc

At organizational level monitoring of

Personnel selection

Personnel trainning

Competeness & skills checking

(26)

Crew assignment optimization

To be OR not to be

? !

To be

To be better

EU FUNDED MARITIME PROJECT IN PROGRESS DANAOS AUDITORIUM

References

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