the overlapping case in an integrated staffing and rostering formulation
DESCRIPTION
The overlapping case in an integrated staffing and rostering formulation. Komarudin , M.-A. Guerry , G. Vanden Berghe , and T. De Feyter. Contents. Introduction Personnel structure Nurse rostering problem Literature review Roster Quality Staffing (RQS) Problem Subgroup formulation - PowerPoint PPT PresentationTRANSCRIPT
The overlapping case in an integrated staffing and rostering formulationKomarudin, M.-A. Guerry, G. Vanden Berghe, and T. De Feyter
Contents Introduction
Personnel structure Nurse rostering problem
Literature review Roster Quality Staffing (RQS) Problem Subgroup formulation Overlapping rostering constraint Illustration Conclusion and future research
Introduction - Personnel structure represents the number and the
composition of distinct personnel subgroups
used for (long term) manpower planningHead Nurse
Nurse with Skill
1
Nurse with Skill
2
Nurse with Skill
3
Trainee Nurse
1 12 15 5 7
Introduction - Nurse Rostering concerns arranging the available nursing
personnel to work requirements. Short to medium planning period
M: Morning (6-14)D: Day (14-22)N: Night (22-6)
S1: Skill-1S2: Skill-2
Nurse
December 201118 19 20 …
A M M MB D D DC N N DD NE M M…
Reqs. 5M6D3N
4-S13-S2...
5M7D2N
6-S15-S2
…
7M5D4N
5-S14-S2
…
Nurse
December 201118 19 20 …
A M M MB D D DC N N DD NE M M…
Reqs.
Nurse Rostering Problem
Many constraints Quality = the violation of soft constraints
The lower the betterM = Morning (6-14), D = Day (14-22), N = Night (22-6)
Day-shift after
night shift
Nurse Rostering Problem -More on Soft Constraints
• NP-hard Problem Used metaheuristics (VNS & ALNS )
Work requirements
Coverage constraint
s
Secondary skill
constraintsPersonal requests
C asks days off at
20/12
Series constraint
sMax
consecutive nights
Counter constraint
s40 hours
/week
Successive series
Refer to Bilgin et al. (2010) for more detail
Motivation
Roster quality
Rostering problemMetaheuristics …
Personnel structure (PS)Nurse to patient ratio
Work requirementsStatistical forecasting
Usually fixed
Motivation
Roster quality
Rostering problemMetaheuristics …
Personnel structure (PS)Nurse to patient ratio
Work requirementsStatistical forecasting
Usually fixed
• Understaffing• Overstaffing• Conflicting
constraints
Undesired condition
How we can determine PS good quality roster?
Feed
back
Literature reviewNo Approach Paper Review
1 Staffing and rostering sequentially
• Abernathy, et al. (1973)
• Ozcan (2009)
• restrict the possibilities at the rostering level suboptimal solutions
2 Integrated staffing and rostering
• Venkataraman & Brusco (1996)
• Mundschenk & Drexl (2007)
• Li et al. (2007)• Beliën et al. (2011)
• Constraints is rather limited, compared to nurse rostering
• (some) only tries to meet the aggregate requirements, without actually produce schedule
3 Part-time/ Annualized workers
• Bard & Purnomo (2005)
• Corominas, et al. (2007)
• only determine the number of additional workers
• May not available
4. Staff allocation
• Haspeslagh (2012)• Maenhout &
Vanhoucke (2013)
• Focus on staff allocation, not determining the personnel structure
How to investigate the suitability of a personnel structure while considering the
roster quality?𝑞𝑣 (𝑅 (𝑛∗))≤𝑞𝑣 (𝑅(𝑛))
Personnel structureRoster
Roster quality
Roster Quality Staffing (RQS) Problem statement
Three-step approach1. Static check2. Roster quality component examination3. Simple neighbourhood examination
Roster Quality Staffing (RQS) Problem statement
How to investigate the suitability of a personnel structure while considering the
roster quality?𝑞𝑣 (𝑅 (𝑛∗))≤𝑞𝑣 (𝑅(𝑛))
Personnel structureRoster
Roster quality
New formulation1. Subgroup formulation2. Overlapping rostering
constraint
Defining subgroups on RQS Characteristics to differentiate
subgroups
: the set of characteristics for subgroup is the -th characteristic of subgroup .
Example:
𝜁 𝑖={𝜁1𝑖 ,𝜁 2
𝑖 ,𝜁 3𝑖 ,…,𝜁 𝑙
𝑖 }
1
Subgroup Characteristics1 {ward X, skill B, 100% FTE}2 {ward Y, skill A & B, 85%
FTE}3 {ward X & Y, skill B}… …
Subgroup formulations on RQS1. Exactly-same
characteristics based
,
2. Main-characteristic based
,beneficial if the main-characteristic has a high penalty weight.
Subgroup
Characteristics
1 {A, B, C}2 {B}3 {B, C}4 {C}Subgroup
Characteristics
1 {A}2 {B}3 {C}
Subgroup formulation on RQS (application)1. Multiple wards2. Float unit personnel3. Cross-trained personnel
Example:Subgroup Characteristics1 {ward X, skill B, 100% FTE}2 {ward Y, skill A & B, 85%
FTE}3 {ward X & Y, skill B}… …
Overlapping personnel constraints Subgroup-specific vs.
overlapping Overlapping: associated with
two or more subgroups. Example:
coverage requirements for skill C
tutorship, etc.
2
Sub-group
Skill characteristics
1 {A, B, C}2 {B}3 {B, C}4 {C}
Sub-group
Characteristics
1 {Trainer}2 {Trainee}3 {B, C}
G1 G2 Tutorship constraint
Yes Yes YesOther situation No
Models for overlapping rostering constraints1. possessed by at least two subgroups,
e.g. coverage reqs. for float unit, , and .
2. partially possessed by at least two subgroups, e.g. tutorship
, , , and.
Characteristics of overlapping rostering constraint l
Characteristics of subgroup i
2 – Complementary(AND)
1 – Substitution(OR)
Application on three-step approachThree proposed examinations:1. Static check2. Roster quality component examination
Overlapping rostering constraints3. Simple neighbourhood examination
Subgroup formulation three examinations
Illustration Emergency ward taken from Bilgin et al.
(2012) 4 weeks
Ward Skill 1 Skill 2 Skill 3 Skill 4 Total Nurse Emergency Primary skill 1 16 4 6 27 Secondary skill 20
Subgroup Pattern (Primary skill – secondary skill)
No Of Nurses
Subgroup 1 (G1) Skill 1 1 Subgroup 2 (G2) Skill 2 – Skill 4 16 Subgroup 3 (G3) Skill 3 – Skill 4 4 Subgroup 4 (G4) Skill 4 6 Total 27
Exactly-same subgroup based
Emergency ward(1) static check & (2) roster quality
Ratio=𝑊𝑜𝑟𝑘𝑟𝑒𝑞𝑢𝑖𝑟𝑒𝑚𝑒𝑛𝑡𝑠𝑅𝑒𝑠𝑜𝑢𝑟𝑐𝑒𝑠
1G1-Skill
1G2-Skill
2G3-Skill
3G4-Skill
40.95 0.85 0.85 0.85
Reasonable, provide some extra time for vacation/illness
Emergency ward(1) static check & (2) roster quality
Ratio=𝑊𝑜𝑟𝑘𝑟𝑒𝑞𝑢𝑖𝑟𝑒𝑚𝑒𝑛𝑡𝑠𝑅𝑒𝑠𝑜𝑢𝑟𝑐𝑒𝑠
1G1-Skill
1G2-Skill
2G3-Skill
3G4-Skill
40.95 0.85 0.85 0.85
Reasonable, provide some extra time for vacation/illness
Coverage constraint Secondary skill Counter SeriesSkill
1Skill 2
Skill 3
Skill 4
Skill 1
Skill 2
Skill 3
Skill 4
1.6% 2.2% 64.0%
16.1%
10.2% 2.9%
Skill 4 understaffed
Soft constraint violations2 The lower
the better
G2, G3 & G4
Substitution overlapping constraint
The lower the better
Emergency ward(3) Simple neighbourhood examination3 Ward G1 G2 G3 G4
Emergency (1) First Skill 1 16 4 6
Emergency ward(3) Simple neighbourhood examination3 Ward G1 G2 G3 G4
Emergency (1) First Skill 1 16 4 6
Add G2, G3 & G4
Wilcoxon test produces very low p-values, close to zero.
Difference significant
Skill 4 understaffed
ConclusionConclusions:1. Subgroup formulation provides more
general formulation: multi-ward, float unit, cross-trained, etc.
2. Overlapping rostering constraint: clarifies the source of a low roster quality
3. RQS problem can be decomposed into smaller problems
Future directions:4. develop an optimization approach to find
the most preferable personnel structure5. Integrate with manpower planning
References Abernathy, W. J., Baloff, N., Hershey, C. J. & Wandel, S., 1973. A
Three-Stage Manpower Planning and Scheduling Model-A Service Sector Example. Operations Research, 21(3), pp. 693-711.
Bard, J. F. & Purnomo, H. W., 2005. A column generation-based approach to solve the preference scheduling problem for nurses with downgrading. Socio-Economic Planning Sciences, 39(3), pp. 193-213.
Beliën, J., Cardoen, B. & Demeulemeester, E., 2011.. Improving workforce scheduling of aircraft line maintenance at Sabena Technics. Interfaces. In Press.
Bilgin, B., De Causmaecker, P., Rossie, B. & Vanden Berghe, G., 2010. Local search neighbourhoods for dealing with a novel nurse rostering model. Annals of Operations Research, pp. 1-25.
Broos Maenhout and Mario Vanhoucke. An integrated nurse stang and scheduling analysis for longer-term nursing sta allocation problems. Omega, 41(2):485{499, 2013. 429
Corominas, A., Lusa, A. & Pastor, R., 2007. Planning production and working time within an annualised hours scheme framework. Annals of Operations Research, 155(1), pp. 5-23.
Li, Y., Chen, J. & Cai, X., 2007. An integrated staff-sizing approach considering feasibility of scheduling decision. Annals of Operations Research, 155(1), pp. 361-390.
Mundschenk, M. & Drexl, A., 2007. Workforce planning in the printing industry. International Journal of Production Research, 45(20), pp. 4849-4872.
Ozcan, Y. A., 2009. Quantitative Methods in Health Care Management: Techniques and Applications. 2nd ed. San Fransisco: Jossey-Bass.
Stefaan Haspeslagh. Negotiation at the short and mid term level supported by analysis of nurse rostering problems. PhD thesis, Computer Science, Kulak, 2012.
Venkataraman, R. & Brusco, M. J., 1996. An integrated analysis of nurse staffing and scheduling policies. 24(1), pp. 57-71.
References