W4_AI_Selecting The Best Gas Supply Scheme for X Project Using Compensatory Models

  1. Problem Definition

Since the last week the gas supply scheme already define by using non-compensatory model, then for this week compensatory models will be used to select the best gas supply scheme. By using and compare both of multi attribute decision making models, the best model can be chosen. The compensatory models divided into 2 (two) approach which is non-dimensional scaling and the additive weighting technique.

 

  1. Identify the Possible Alternative

3 (three) alternative gas supply facility to fulfill gas needed of x area, as follow:

  1. Offshore regasification facility
  2. Gas pipeline
  3. Landbase regasification facility

Table 1. Alternative Value

  1. Development of The Outcome for Alternative

Compensatory model using weighted score with the range 0 to 1 with the purpose is identifying dimensionless value for each attribute.

  1. Non-dimensional Scaling

Table 2. Dimensionless Scoring model

The table above, show the scoring 1 means the highest/optimum value of attribute (preference decision), meanwhile the scoring 0 means the minimum value (avoided decision). Quantitative comparison for each alternative describe in table 2 above, after that the total score is required to represent the rank of alternative.

Table 3. Dimensionless Relative Weighting

Using non-dimensional scaling, the highest rank is offshore regasification facility with total score 6.11 (1.5 times better than pipeline)

2. The Additive Weighting Technique

Table 4. Additive Weighting Score

Table 4 (above) describe the highest rank is offshore regasification facility with total score 0.91 (1.7 times better than pipeline).

 

  1. Selection Criteria

The highest alternative rank of gas supply scheme was defined using both of compensatory models.

 

  1. Analysis & Comparison of Alternative

Both of compensatory models have the same result with offshore regasification facility as the highest rank, it shown on:

Table 5. Compensatory Model

The difference between these two techniques is the weighting factors, the additive weighting using weighting factor because each attribute might be have different level of importance. Therefore, the recommendation chosen by additive weighting model, has been concern the alternate values and the attribute importance also.

 

  1. Selection of the Preferred Alternative

The compensatory model using quantitative data to being calculate, meanwhile the non-compensatory (last week) model using qualitative judgment to being analyze. Since the quantitative approach give more clear comprehension, so the preferred model to present to director is compensatory model.

Both models, compensatory and non-compensatory model show that Offshore Regasification facility was the best alternative to choose.

 

  1. Performance Monitoring and The Post Evaluation of Result

The alternative value could be change based on the project characteristic (every project is unique), so it is importance to really understand about the alternative to be compared.

Reference:

  1. Planning Planet (2017). Multi Attribute Decision Making.

Retrieved from http://www.planningplanet.com/guild/gpccar/managing-change-the-owners-perspective

  1. Sullivan, G. W. (2014). Engineering Economy 16th Chapter 14 – Decision Making Considering Multiattributes, pp. 603-608.
  2. Ardi (2017). W3_A_Using Multiattribute Decision Making with Compensatory and Non-Compensatory Model for Supply of Electricity Tanjung Uban

Retrieved from http://emeraldaace2017.com/2017/08/15/w3_a_using-multiattribute-decision-making-with-compensatory-and-non-compensatory-model-for-supply-of-electricity-tanjung-uban/

 

W3_AI_Selecting The Best Gas Supply Scheme for X Project Using Non-Dimensional Scaling Technique

  1. Problem Definition

My Company in initiation stage to fulfill gas needs of x area. There are 3 (three) alternative gas supply scheme, which can be analyzed to meet the company objective. Board of Director has been develop 7 (seven) mandatory parameter to select the best gas supply scheme. Hence a method is needed to accommodate all mandatory parameter, Multi-Attribute Decision Making method would be applied.

 

  1. Identify the Possible Alternative

3 (three) alternative gas supply facility to fulfill gas needed of x area, as follow:

  1. Offshore regasification facility
  2. Gas pipeline
  3. Landbase regasification facility

Because of the selected facility must be accommodating all the parameter that have been determined by Board of Director, then non-compensatory approach shall be chosen to select the best alternative in view of the full dimensionality.

 

  1. Development of The Outcome for Alternative

Non-compensatory approach consists of 4 different techniques:

  1. Dominance
  2. Satisficing
  3. Disjunctive Reasoning
  4. Lexicography

This technique is use to select the best alternative by comparing an attribute –by-attribute.

Table 1. Parameter Objective

Using non-compensatory approach, all of 3 (three) alternative gas supply will be ranked to get the most optimal alternative.

 

  1. Selection Criteria
  • Dominance

Table 2. Alternative Dominance

From table (2) above, Offshore Regasification Facility dominates for all categories, with the only contenders would be Pipeline A. While, Landbase Regasification Facility cannot compete in all an attributes with offshore Regasification and pipeline A.

  • Satisficing

Table 3. Alternative Satisficing

The minimum and maximum acceptable value for alternative has been described in table (3) above. Maximum acceptable value was adjusted by the company target, with baseline MARR 10% and project on-stream Q2 2019.

This step to weed out any outliers, and also serves to look at only the alternative are marginally acceptable, eliminating the ability to look extremes which may prove to be acceptable trade off.

  • Disjunctive Reasoning

Table 4. Attribute Disjunctive

The attribute ranking base on importance scale are Social Risk > Permit Duration > Capex > Location > Delay Potential > Project Duration > Optimize Existing Asset.

This step is serves to determine attribute ranked in order of importance, by means of compare between each possible attribute combination.

  • Lexicography

Table 5. Alternative Lexicography

Using the ordinal ranking of attribute, in terms of social risk (1st rank) the best alternative is Offshore Regasification Facility, with another alternative which is even close would be Pipeline A and follow by Landbase Regasification Facility as the last alternative rank.

 

  1. Analysis & Comparison of Alternative

Base on the attribute, comparison for all alternatives would be defined, as follow:

Table 6. Alternative Comparison

  1. Selection of the Preferred Alternative

The best alternative was described in the analysis above, offshore regasification facility would be the best supply gas scheme to be proposed to Board of Director.

This alternative has considered all parameter objective required by BoD, while the only one cons should be mitigated by the planning team.

 

  1. Performance Monitoring and The Post Evaluation of Result

The cons condition shall be monitor and manage on the planning and execute stage to reduce the risk. Planning and project team must be identifying the activity which will give impact to offshore regasification facility construction.

Reference:

  1. Planning Planet (2017). Multi Attribute Decision Making.

Retrieved from http://www.planningplanet.com/guild/gpccar/managing-change-the-owners-perspective

  1. Sullivan, G. W. (2014). Engineering Economy 16th Chapter 14 – Decision Making Considering Multiattributes, pp. 603-608.
  2. Dhanu, H. U. (2017). 1_UDS_Choosing a New Fuel Terminal Location in Dumai Using Additive Weighting Technique in Multi-Attribute Decision Making.

Retrieved from http://emeraldaace2017.com/2017/08/09/w2-1_uds_choosing-a-new-fuel-terminal-location-in-dumai-using-additive-weighting-technique-in-multi-attribute-decision-making/

 

 

W2.1_AI_Workloading Histogram

  1. Problem Definition

Formed in face to face classroom (24-28 July 2017), Emerald AACE 2017 team will face the distance learning mode since then. In this phase, the daily work and a lot of tasks must be executed at the same time. To achieve optimal productivity and minimize stress, the workload must be distributed effectively. However some tools must be performed to monitor forecast and balance the distribution of workload, it was manloading chart, resource histogram, and s-curve.

 

  1. Identify the Possible Alternative

To monitor and manage the workload we can use manpower loading chart, resource histogram, and s-curve.

The proposed of these tools is to define forecast workload base on activity, resources, duration and target date. Therefore before the project being late, it will help the Project Manager to maintain team members load.

 

  1. Development of The Outcome for Alternative

The activity and plan for each member will be defined in man power loading chart, as follow:

Table 1. Emerald AACE 2017 Manpower loading chart

While the resource histogram showing required resource quantity in a week, as follow:

Picture 1. Emerald AACE 2017 Resource Histogram

Since the schedule was set, the s-curve showed cumulative man hours spend, as follow:

Picture 2. Emerald AACE 2017 S-curve

 

  1. Selection Criteria

Refer to Table.1 above (Manpower loading chart), it showing each member required 8 hours per week (P50) to finish all the tasks. Using the manpower loading chart, will give the information about each member peak and low time consumed.

Table 2. Emerald AACE 2017 Manpower loading chart (balance)

The resource loaded must be provide in the histogram showing required resource quantities and time consumed each week, then when compared to peak resource availability gives us a clear indication how much resource flexibility we have.

Picture 3. Emerald AACE 2017 Resource Histogram (balance)

While the s-curve will be using for monitoring the progress of the project to be tracked.

Picture 4. Emerald AACE 2017 S-curve

 

  1. Analysis & Comparison of Alternative

Since the advantage was mentioned above, so the disadvantage of those tools was:

  • Manpower loading chart : no clear information of resource flexibility
  • Resource histogram : no clear information of activity
  • S-curve : no clear information of peak and low period

 

  1. Selection of the Preferred Alternative

The objective was balance the workload distribution, so the important information that should be shown was peak and low period.

With this information, we can balance the resource from peak period to low period.

The best tools for Project Manager to manage and balance the team member was resource histogram.

 

  1. Performance Monitoring and The Post Evaluation of Result

Resource histogram shall be monitor in weekly basis, it will help Project Manager to maintain and monitor team member loading. In parallel, implementing these tools will help team member to manage the workload effectively, increase the productivity and raise the team opportunities to achieve goal together.

Reference:

  1. Planning Planet (2017). Allocating Resources.

Retrieved from http://www.planningplanet.com/guild/gpccar/allocating-resources

  1. Planning Planet (2017). Introduction To Managing Planning & Scheduling.

Retrieved from http://www.planningplanet.com/guild/gpccar/introduction-to-managing-planning-and-scheduling

  1. Planning Planet (2017). Assigning Resources To All Activities.

Retrieved from http://www.planningplanet.com/guild/gpccar/assigning-resources-to-all-activities

  1. Fahmi, A. (2013). W2_AFS_Workloading Histogram.

Retrieved from https://simatupangaace2014.wordpress.com/2013/09/12/w2_afs_-workloading-histogram/#more-423

  1. Likhite, Rashmi. (2015). Resource Load Chart.

Retrieved from https://celoxis.atlassian.net/wiki/display/DOC11/Resource+Load+Chart

 

 

 

 

 

W2_AI_Workloading Histogram

  1. Problem Definition

Formed in face to face classroom (24-28 July 2017), Emerald AACE 2017 team will face the distance learning mode since then. In this phase, the daily work and a lot of tasks must be executed at the same time. To achieve optimal productivity and minimize stress, the workload must be distributed effectively. Susanne Madsen defines 6 tips to manage a demanding workload:

  1. Ask for help
  2. Prioritize important over urgent
  3. Delegate
  4. Plan collaboratively
  5. Use the right tool
  6. Share your concerns

These tips can be applied for control the workload of team project and officer also. However some tools must be performed to monitor forecast and balance the distribution of workload, one of them is workload histogram.

  1. Identify the Possible Alternative

Workloading histogram is some tools to define forecast workload base on activity, resources and target date. The histogram can showed team member peak and low period. Therefore before the project being late, it could help the Project Manager to take action to sufficient the resources needed and maintain workload team members.

  1. Development of The Outcome for Alternative

First of all, the activity and target must be defined.

Emerald AACE 2017 project plan will be used for basic calculation of workloading histogram, as follow:

Table 1. Emerald AACE 2017 Activity

Then schedule and time allocation based on each activity would be determined, as follow:

Table 2. Emerald AACE 2017 Schedule

  1. Selection Criteria

The Workloading histogram based on Emerald AACE 2017 team schedule, as follow:

Picture 1. Workloading histogram Emerald AACE 2017

  1. Analysis & Comparison of Alternative

To identify additional work hour for each member, this histogram only consider 6 (six) tasks that should be completed during after office hour (exclude classroom session).

Refer to Pic.1 above, it showed each member required 10 hours per week to finish all the tasks on time. In order to fulfill all the works, so our baseline hour (average) per person as follows:

Table 3. Time Frame per Week

With the workload histogram showed, as follow:

Picture 2. Workloading histogram Emerald AACE 2017 (excl. classroom)

  1. Selection of the Preferred Alternative

Refer to pic.2 above, it shows that :

  • The peak time will be at W23
  • To reduce the workload (W23), increase the productivity on another week (W14-W17), reducing scope or add man power.
  • Blog, Cheat sheet, and problem solving will be executed earlier to decreased the peak time
  1. Performance Monitoring and The Post Evaluation of Result

Workloading histogram shall be monitor in weekly basis, it will help Project Manager to maintain and monitor team member workload. In parallel, implementing this tools will help team member to manage the workload effectively, increase the productivity and raise the team opportunities to achieve goal together.

Reference:

  1. Madsen, Susanne (2015). 6 Tips to Manage a Demanding Workload.

Retrieved from https://www.liquidplanner.com/blog/6-tips-to-manage-a-demanding-workload/

  1. Fahmi, A. (2013). W2_AFS_Workloading Histogram.

Retrieved from https://simatupangaace2014.wordpress.com/2013/09/12/w2_afs_-workloading-histogram/#more-423

 

W1_AI_Tuckman Analysis Assigment

  1. Problem Definition

Formed in face to face classroom (24-28 July 2017), Emerald AACE 2017 team is a new team joined by people with different backgrounds, therefore the challenge is the diverse perspective of each member. This team has 2 objectives which are (1) pass AACE certification together and (2) generate return on training investment (RoTI). In order to meet those objectives, Tuckman Assessment is performed since it can be used to identify the team phase as well as define leadership style.

  1. Identify the Possible Alternative

Bruce Tuckman publish The Forming Storming Norming Performing model in 1965. This model explains team development phase so we can define which leadership style should be applied.

Picture 1. Tuckman Model

The leadership approaches by Hersey and Blanchard :

  1. Telling : the leader tell each member what to do and how they would to do it
  2. Selling : team member still directed by the leader
  3. Participating : the leader tries to build relationship, really become part of the team
  4. Delegating : the leader pass most of the responsibilities

Picture 2. Tuckman VS Hersey and Blanchard Model

It is important to know the team phase and leadership style should be applied, with the right leadership style it help the team to increase productivity.

  1. Development of The Outcome for Alternative

The Emerald team can be in forming, storming, norming and performing phase. Furthermore each team member will give individual judgment by using Tuckman Team Maturity Questionnaire and follow by PERT Calculation P75 for analyzed.

  1. Selection Criteria

Table 1. Questionnaire Result

 

Table 2. PERT P75 Result

From table 2 above, it shows the highest rank is Performing Phase.

  1. Analysis & Comparison of Alternative

Based on table 2, the scores for all phase are similar with some variance. This means there is no clear perspective and the team needs to be directed by the leader, its indicate team development phase of Emerald Team is Storming Phase.

  1. Selection of the Preferred Alternative

Instead of Performing Phase, the Storming Phase is more appropriate.

The leadership best approach for storming phase is Selling. There is two way communications, but the leader should lead the team how the team plays.

  1. Performance Monitoring and The Post Evaluation of Result

In order to develop and improve team productivity, improvement of the leadership is the key to enhance team cooperation and comprehension. As feedback, monitoring process should be performed in periodically.

 

Reference:

  1. Clark, D. (2000). Transfer of Learning. Retrieved from http://www.nwlink.com/~donclark/hrd/learning/transfer.html
  1. Chapman, A. (2013). Tuckman forming storming norming performing model. Retrieved from http://www.businessballs.com/tuckmanformingstormingnormingperforming.htm
  1. Bristoll, H. (2010). Hersey-Blanchard Situational Leadership Theory. Retrieved from

http://www.free-management-ebooks.com/faqld/leadtheory-06.htm

  1. Rowley, J. (2012). Time Management – Formulas relating to PERT Analysis. Retrieved from

https://4squareviews.com/2012/09/24/time-management-formulas-relating-to-pert-analysis/