risk chapter 10
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Devotion
Chapter 10 Risk and Opportunities Management
Mamahit AgathaKaparang ChrystoLiusito ReinaMaramis JeanetteWahongan Jessica
‘. . . as we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns – the ones we don’t know we don’t know.’
(Donald Rumsfeld)
Principle Resiko dan ketidakpastian adalah dasar-
dasar dari proyek. Ada pendekatan yang berkembang dengan
baik dapat di aplikasikan dalam pengelolaan resiko.
Sementara selalu ada potensi proyek yang buruk, selalu ada juga terbalik. Kesempatan sama pentingnya dengan resiko.
Learning objectives Mengakui sifat dari resiko. Menerapkan dasar peralatan kuantitatif dan
kualitatif untuk mengelola resiko. Mengakui betapa pentingnya mempertimbangkan
kesempatan yang ada yang disajikan sebuah proyek.
Introduction
KAPARANG, CHRYSTO
10.1 The Nature of Risk and Risk Management
KAPARANG, CHRYSTO
DefinitionPengertian dari risiko: kemungkinan mengalami kerusakan atau
kerugian (pmi 2004) Ketidakpastian yang melekat dalam rencana
dan kemungkinan terjadinya sesuatu (yaitu kontingensi) yang dapat mempengaruhi prospek untuk mencapai tujuan bisnis atau proyek. (BS 6079)
KAPARANG, CHRYSTO
Kerangka untuk manajemen risiko - Tiga bidang utama dari Project Risk Management: identifikasi, kuantifikasi dan kontrol respon atau mitigasi(see Figure 10.1)
Elemen pertama dari kerangka kerja ini adalah identifikasi risiko, proses memprediksi hasil risiko utama - indikator bahwa ada sesuatu yang tidak beres dalam proyek
KAPARANG, CHRYSTO
LIUSITO, REINA
Kategori Analisa Risiko Analisa TCQ1. Time2. Cost3. Quality further risk categories added1. Health and safety2. Legal
LIUSITO, REINA
Asumsi-asumsi
LIUSITO, REINA
Response Control/Mitigation Setelah mengidentifikasi elemen resiko yang
harus dikelola, diperlukan beberapa prosedur untuk memastikan bahwa kemungkinan untuk berkurangnya resiko atau efek yang akan terjadi dapat menggunakan beberapa cara. Sebagai contoh, resiko aktivitas berjalan kritis dapat dikurangi melalui pengurangan skala kegiatan atau dengan memastikan bahwa ada cara lain untuk menangani proyek tersebut dengan hasil yang baik seperti proyek yang tertunda. Kedua pendekatan tersebut mencakup dalam Gambar 10.1 yaitu tindakan korektif dan kontingensi dan cadangan.
LIUSITO, REINA
Selain itu, beberapa organisasi tidak ingin menerima resiko tersebut yaitu adanya ketidakpastian dalam sebuah proyek. Ini sering terjadi meskipun hal seperti ini akan dibahas dalam bab 14, sering dianggap seperti keberhasilan yang terbatas. Hal seperti ini dapat menjadi sasaran subyek asuransi sebagai salah satu cara sebuah organisasi ingin membatasi resiko dalam setiap satu proyek.
Penggunaan Formal teknik analisis risiko mungkin diperlukan oleh :● kebijakan perusahaan ;● klien ( terutama untuk kontrak pertahanan ) .
Manfaat yang dianggap akan terjadi:● menyediakan sarana untuk meningkatkan rencana proyek dan mencerminkan realitas dengan lebih baik;● menyoroti area untuk perhatian dan perencanaan kontinjensi pada tahap perencanaan ;
LIUSITO, REINA
● mencoba untuk memanfaatkan banyak ' gut-feel element' dalam penilaian risiko dan menggunakan intuisi penting ini sebagai titik awal untuk analisis lebih lanjut ;● memungkinkan kuantifikasi risiko untuk membangun pengalaman dalam cara yang terstruktur dan memungkinkan faktor ini untuk ditelusuri secara historis untuk kepentingan masa depan dalam proyek-proyek lain .
Proses resiko mendasar lainnya
Pengelolaan risiko tidak berhenti pada titik ini. Banyak organisasi mengklaim manfaat dari pengelolaan risiko menjadi proses yang berkelanjutan di seluruh proyek . Dokumentasi khusus membantu untuk mendukung proses ini berlangsung meliputi penggunaan risk register atau log risiko.
LIUSITO, REINA
10.2 Qualitative and Quantitative ApproachesDua pendekatan yang sama: 1. Menilai berapa besar kemungkinan suatu even terlaksana
disuatu tempat yang kemungkinan terlaksana begitu mustahil 2 .Menentukan besarnya pengaruh even tersebut – contohnya
pengaruh yang mungkin ada
Critical – apakah akan menimbulkan kegagalan secara total di satu bagian atau banyak dari kegiatan proyek?
Major – apakah akan meningkatkan cost di satu atau banyak area? Minor – apakah akan menyebabkan ketidaknyamanan tapi tidak
membuat proyek itu di set kembali secara financial ataupun waktu.
MARAMIS JEANETTE
Qualitative Approaches
MARAMIS JEANETTE
(likelihood) x (severity) x (hideability)
MARAMIS JEANETTE
Quantitative approaches As for planning, risk analysis is an attempt to
provide a mathematical model of the scenario in an attempt to allow the brain to comprehend the effect of a large number of variables on the outcome.
Risk quantification techniques that will be discussed here are:
● Expected value;● Sensitivity analysis;● Monte Carlo simulation;● PERT.
MARAMIS JEANETTE
Expected Value The expected value of an event is the possible
outcome times the probability of its occurrence
e.g. if a project has a 50 per cent chance of yielding a profit of £30 million, the expected value is 0.5 × £30 million = £15 million.
MARAMIS JEANETTE
Sensitivity analysis This works similarly to PERT analysis – an
expected value for the main inputs (e.g. costs) to the project is put into the calculations of the outcome as well as an optimistic (in this case +n per cent) and pessimistic (−n per cent) value (value of n is often 10).
This will show the effect on the outcome of a change in the variable considered and can show where management control attention should be focused.
MARAMIS JEANETTE
MARAMIS JEANETTE
MARAMIS JEANETTE
Monte Carlo Simulation Requires the use of a computer to be
practicable and uses a range of values of distribution, rather than single values, for time, cost and other estimates.
Monte Carlo simulation is available as an extension to most popular spreadsheet packages (including Excel).
MARAMIS JEANETTE
PERT The technique is intended to deal with the
likelihood that the single value given as the estimated time for completion of activities is going to have a degree of error associated with it. Instead of taking a single time, three time estimates for each activity are required:
● optimistic time – how long the activity would take if the conditions were ideal;
● most probable time – time if conditions were ‘normal’;
● pessimistic time – how long the activity would take if a significant proportion of the things that could go wrong did go wrong.
WAHONGAN, JESSICA
There are an infinite number of possibilities as to how this range is distributed,
e.g. optimistic and most probable times may be close together with the pessimistic time considerably different from the other two, or all three may be very close together.
This flexibility in the distribution that is applied is one of the major appeals of the technique.
WAHONGAN, JESSICA
expected time = [o + 4m + p]/6 In the case of activity A,
the expected time = [3 + [4 × 5] + 7]/6 = 5 For activity B,
the expected time = [2 + [4 × 3] + 10]/6 = 4
WAHONGAN JESSICA
The distribution activity B can be represented by Figure 10.5.
WAHONGAN JESSICA
Wahongan Jessica
The example is now completed using the expected times shown in Table 10.3.
Original Analysis (CPA)Critical path ACFH = 24 days
PERTCritical path ADGH = 25 days
variance of activity time = [[p − o]/6]2
Explanation 1 Calculate the variance for each activity. 2 Calculate the variance for each path (a sequence of activities that will take
you from the first event to the last – there are generally many paths through networks) in the network diagram.
3 Calculate the standard deviation for that path:
ópath = square root of the variance 4 Identify the time within which you wish to complete the activities. Calculate
the value for z determined by:
z = [specified time − expected time]/ópath 5 Refer to the Appendix at the end of this chapter – the value of z corresponds
to a probability (expressed between 0 and 1). This is the probability that the activity path will be completed within the time identified in 4.
6 The probability that all the paths that have been considered will be finished in the given time is found by multiplying the probabilities for each of the paths together.
Wahongan Jessica
This method is best illustrated by an example.1 Calculate the variance for each activity (shown in Table 10.4).2 Now it is necessary to identify the paths. There are several
rules regarding the selection of paths for this process:– Each activity must be on only one path – where activities are shared
between severalpaths, the one that is the critical path should be used;– Activities on different paths need to be independent – there should
be no unwrittenlogic relationship between activities on different paths.With these in mind the three paths that need to be considered here
are: B–E C–F D–GThe following steps are calculated in Table 10.5. The variances are
then summed for each path.
Wahongan Jessica
3 The standard deviations are then calculated.
4 The time required for completion is arbitrarily 11 days.
5 The z values are added.6 The probabilities are derived from Table
10.4.7 The probability of each of these times
being achieved is clearly highest where the expected time was less than the time required for completion (path B–E).
Wahongan Jessica
0.7673 × 0.5000 × 0.2981 = 0.1144i.e. there is less than a 12 per cent chance that this part of the project will be completed in 11 days.
Wahongan Jessica
The use of PERT in practice PERT provides an in-built level of risk
assessment, considering as it does three values for time estimates (optimistic, most likely and pessimistic).
The objective of the risk analysis is to enable the project manager to include contingencies, that is, having identified the most risky elements of the project, to put some actions in place to make sure that the risk is minimised.
MAMAHIT, AGATHA
PERT was very popular in the 1960s. One project demanded by a senior manager
was thought to be ‘difficult’ and ‘challenging’. The designated project manager was unhappy about what he was being asked to take on, believing that the failure of the project was a high risk and could be ‘career limiting’
MAMAHIT, AGATHA
A basic analysis of the chance of success through PERT demonstrated that with the level of resources allocated, he had less than a 5 per cent chance of succeeding in making the delivery date for the project.
Communicating this level of risk and requiring senior management acceptance of this level of risk resulted in the opportunity to re-scope the project and a much higher chance of success that was acceptable to both the project manager and the firm.
MAMAHIT, AGATHA
10.3 Opportunities management‘On a recent multi-million pound project, my
team spent two days trying to reduce a £50000 risk. I would much rather they had
spent that time looking to see how the project could yield an extra £50 000 of business
benefit.’(Project Director, Rolls-Royce)
MAMAHIT, AGATHA
One of 3M’s most successful and enduring projects has been the Post-it note.
many people who specialise in the management of innovation that it is rare that great products are the result of a development process that started out with that objective in mind.
It is worth reconsidering the issue, as it is essential that there is a route not only for threats to the project (as is the negative side of risks) but also for the exploitation of opportunities.
MAMAHIT, AGATHA
There are many approaches to assessing the opportunities. One framework is: Negative to positive Opportunities of response Random good fortune
MAMAHIT, AGATHA
Thank You
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