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Page 1: Challenges in Asset Management - · PDF fileand capabilities of current Actenum technology. Asset Management: An explanation What is asset management? There is no question that there

Challenges in Asset Management

Challenges in Asset Management

And ways that you can deal with them

Challenges in Asset Management

And ways that you can deal with them

Challenges in Asset Management

And ways that you can deal with them

Challenges in Asset Management

And ways that you can deal with them

Challenges in Asset Management

And ways that you can deal with them

Michael Israel

Challenges in Asset Management

And ways that you can deal with them

Michael Israel

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2

© 20166 Actenum Corporation. All rights reserved.Actenum Corporation. All rights reserved.

© 2015 Actenum Corporation. All rights reserved.

Actenum Corporation. All rights reserved.

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© 2016 Actenum Corporation. All rights reserved.

3

Contents

Introduction ................................................................................................................................. 4

Asset Management: An explanation ........................................................................................ 4

Asset Management: Why do we care? .......................................................................................... 5

Asset management and the bigger picture .................................................................................... 5

The ”Great Crew Change” ........................................................................................................... 6

Software that captures and models Expert Knowledge ................................................................ 6

What you think is going to happen isn’t what really happens! ..................................................... 9

The challenge of Organizational Alignment ......................................................................... 11

Advanced software facilitates planning and scheduling .................................................... 13

Integrate with Back Office, Project, and Primavera ..................................................................... 13

Enhanced Decisions boost asset management performance ............................................ 14

About ........................................................................................................................................... 15

Michael Israel .................................................................................................................................... 15

Actenum Corporation ...................................................................................................................... 15

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© 2015 Actenum Corporation. All rights reserved.

© 2016 Actenum Corporation. All rights reserved.

Introduction This document was originally published in 2009, and discussed features

of Actenum Corporation’s then-current maintenance and production

scheduling software, Actenum MPS.

Since 2009 Actenum MPS has been renamed DSO/Maintenance, and has

been upgraded with many significant features that provide additional

capabilities and insight into asset performance and production opera-

tions. Accordingly, this document has been updated to reflect features

and capabilities of current Actenum technology.

Asset Management:

An explanation

What is asset management? There is no question that there are various

points of view about it. So let’s get a generally acceptable perspective

from two reliable sources:

� Wikipedia considers asset management to be: “… optimal manage-

ment of the physical assets of an organization to maximize value … By

managing assets across the facility, organizations can improve utilization

and performance, reduce capital costs, reduce asset-related operating

costs, extend asset life and subsequently improve ROA (return on as-

sets)”.

� The University of Toronto’s Professional Development Centre offers

a Management Certificate Program in Asset Management. The offi-

cial program description states “… Asset Management can significantly

impact an organization's bottom line by reducing maintenance costs, in-

creasing the economic life of capital equipment, reducing company lia-

bility, increasing the reliability of systems and components, and reducing

the number of systems and components.”

In actual practice, though, asset management has been more about

keeping track of data about assets from a transactional perspective.

Asset management’s traditional focus has been about gathering asset

information, such as asset location, asset configuration, maintenance

activities, production throughput, and so on.

In other words, asset management practices have typically provided a

great deal of information about assets and their performance. But this

information by itself does little, if anything, to actually improve an asset’s

effectiveness and performance. The information is, in fact, irrelevant un-

less and until someone acts upon it. People still need to analyze and use

this information intelligently to make informed decisions that positively

impact overall asset performance.

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© 2016 Actenum Corporation. All rights reserved.

5

Asset Management:

Why do we care?

We care because managing assets effectively and maximizing asset ef-

fectiveness is the key to:

� Achieving production targets,

� Controlling costs, and

� Meeting corporate and organizational goals.

There is so much information gathered today by ERP, EAM, CMMS, and

other systems that the dilemma for many organizations is how to identi-

fy the most relevant information. Almost too much data is gathered in

many organizations to be reasonably interpreted.

So how do you pinpoint and take action on the most pressing challenges

and issues to positively impact actual asset performance?

Asset management and the bigger picture

In addition to individual asset management issues, management in asset

intensive industries faces these and other key challenges as well:

� An ongoing retiring workforce sometimes referred to as “the Great

Crew Change”.

� Corporate strategy and operational reality are out of alignment; in

other words, what the corporation plans to happen frequently isn’t

what really happens.

� Organizational alignment issues: for example, maintenance man-

agement and production management goals and targets may not be

in sync.

� Corporate or organizational backing for technology investments may

be lacking or in-adequate.

Also, while many organizations have a plethora of asset information,

some may still have a surprising lack. Some recent studies indicate that

asset management is not always given the priority and attention that is

merited.

The remainder of this paper will focus on how a technology solution can

help improve both asset performance and positively impact the top

three issues above—The Great Crew Change, Corporate Strategy and

Operational Reality, and Organizational Alignment—at the same time.

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© 2015 Actenum Corporation. All rights reserved.

© 2016 Actenum Corporation. All rights reserved.

The ”Great Crew

Change”

Countless operational experts will retire over the next few years. Many

of these professionals have been working in, and sometimes managing

and running, production or maintenance operations in asset intensive

industries for two, three, or in some cases four decades. When these

wizards retire they will take a great deal of knowledge and “tricks of the

trade” with them.

So the question is, how can you preserve that tribal knowledge and all of

the benefits that knowledge brings to the table every day?

Furthermore, is there a way you can dispel folklore-based maintenance

perceptions to promote better maintenance practices and boost asset

and overall operational performance? For example, it may be a com-

monly-held impression that it doesn’t make sense to schedule mainte-

nance on weekends because the overtime costs involved are too high.

But what if scheduling occasional maintenance on weekends actually

enabled greater production, which resulted in greater sales and larger

margins, which in turn more than offset the higher overtime costs?

Would it not be worth it to the organization to schedule that weekend

maintenance?

The retiring maintenance or production expert may have known about

this scheduling peculiarity. But that expert has gone. So how do you re-

place and retain that know-how?

The answer is an expert software scheduling solution.

Software that captures and models Expert

Knowledge

The great news is that software is available today that is capable of cap-

turing, modeling, and emulating an expert’s knowledge in this and

countless similar scheduling situations. The software we’re referring to is

the “DSO/Maintenance” product from Actenum Corporation.

DSO/Maintenance enables maintenance and operations managers to

schedule production equipment for full and efficient utilization. For ex-

ample:

� It empowers management to determine the best time to take

equipment down for maintenance;

� In so doing it is sensitive to production requirements and schedules;

� The software is aware of production run gaps and slow-downs;

� It takes availability of certified and skilled technicians into account;

� It considers the parts and tools required for maintenance tasks.

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© 2016

6 Actenum Corporation. All rights reserved.Actenum Corporation. All rights reserved.Actenum Corporation. All rights reserved.

The following screen shots (Figures 1 and 2) illustrate how Actenum’s

software can be used to develop the best possible

ule to minimally impact production, while taking other critical factors

into account at the same time, such as:

� Overtime costs,

� Crew availability,

� Potential idle (non

� Technician skills,

� Predictable production schedule slo

Figure 1: DSO/Maintenance scheduling software:

The following screen shots (Figures 1 and 2) illustrate how Actenum’s

software can be used to develop the best possible

ule to minimally impact production, while taking other critical factors

into account at the same time, such as:

Overtime costs,

Crew availability,

Potential idle (non

Technician skills,

Predictable production schedule slo

Figure 1: DSO/Maintenance scheduling software:

The following screen shots (Figures 1 and 2) illustrate how Actenum’s

software can be used to develop the best possible

ule to minimally impact production, while taking other critical factors

into account at the same time, such as:

Overtime costs,

Crew availability,

Potential idle (non-productive) time,

Technician skills,

Predictable production schedule slo

Figure 1: DSO/Maintenance scheduling software:

The following screen shots (Figures 1 and 2) illustrate how Actenum’s

software can be used to develop the best possible

ule to minimally impact production, while taking other critical factors

into account at the same time, such as:

productive) time,

Predictable production schedule slow times, and so on.

Figure 1: DSO/Maintenance scheduling software:

The following screen shots (Figures 1 and 2) illustrate how Actenum’s

software can be used to develop the best possible maintenance sche

ule to minimally impact production, while taking other critical factors

w times, and so on.

Figure 1: DSO/Maintenance scheduling software: location view

The following screen shots (Figures 1 and 2) illustrate how Actenum’s

maintenance sche

ule to minimally impact production, while taking other critical factors

w times, and so on.

location view

7

The following screen shots (Figures 1 and 2) illustrate how Actenum’s

maintenance sched-

ule to minimally impact production, while taking other critical factors

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8

Figure 2: DSO/Maintenance scheduling software: resource view

DSO/Maintenance

ules for maintenance in any type of

Figure 2: DSO/Maintenance scheduling software: resource view

DSO/Maintenance

es for maintenance in any type of

Figure 2: DSO/Maintenance scheduling software: resource view

DSO/Maintenance facilitates the rapid development of optimal sche

es for maintenance in any type of

Figure 2: DSO/Maintenance scheduling software: resource view

facilitates the rapid development of optimal sche

es for maintenance in any type of facility.

© 2016

Figure 2: DSO/Maintenance scheduling software: resource view

facilitates the rapid development of optimal sche

facility.

6 Actenum Corporation. All rights reserved.

Figure 2: DSO/Maintenance scheduling software: resource view

facilitates the rapid development of optimal sche

Actenum Corporation. All rights reserved.

facilitates the rapid development of optimal sched-

© 2015 Actenum Corporation. All rights reserved.

Actenum Corporation. All rights reserved.

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© 2016 Actenum Corporation. All rights reserved.

9

Corporate Strategy

vs. Operational Real-

ity

What you think is going to happen isn’t what really

happens!

The long-term corporate plan is generally developed at the beginning of

a fiscal cycle. This longer term planning phase is sometimes referred to

as the “slow-loop” planning phase. In the “slow-loop” planning phase the:

� Required production output levels are set to meet the required cor-

porate revenue goals,

� Individual and departmental production targets are established,

� Preventive maintenance plans are prepared,

� Some unexpected maintenance time is allocated,

� Spare parts and tools are planned for and ordered.

This long term slow-loop planning phase requires input and collabora-

tion from both maintenance and production staff. And of course the

output of the plan must be in alignment with the organization’s goals

and targets.

But then comes the actual execution of the plan, or what we’ll refer to

here as the “fast-loop” phase of the cycle. This is the phase where the

plan is actually put into motion and production and maintenance plans

are actually executed against real world demands. And in the real world,

things are not often the way we had envisioned.

For example, sales may be higher than expected (that’s good), which re-

sults in an increased demand on production equipment. This increased

demand on production equipment causes someone to make a decision

to skip a scheduled preventive maintenance on a production asset. That

specific production asset later suffers a catastrophic breakdown (that’s

bad). This unanticipated breakdown will not only put the organization’s

ability to meet the increased production requirements in jeopardy, but it

may put its ability to meet the original production requirements at risk

as well.

These sudden and unexpected changes will now require modifications

to both the maintenance and production schedules to get them back on

track. Collaboration between the maintenance and production teams

will be essential in successfully devising the revised plans. Software

technology can significantly facilitate that effort.

For example, rows 3 and 4 of the screen shot in Figure 3 clearly show an

asset with 100% risk of a breakdown due to an overdue maintenance

task.

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10

Figure 3: Scheduled maintenance and breakdown risk illustration

This type of tool and screen would clearly have been useful to both

maintenance and production management in the scenario described

above in helping them determine whether that PM should have been

skipped. It will als

updated plans and schedules.

Actenum’s software presents crucial information in real time for evalu

tion, so management can develop alternative action plans when nece

sary to ensure critical targets are not missed.

Figure 3: Scheduled maintenance and breakdown risk illustration

This type of tool and screen would clearly have been useful to both

maintenance and production management in the scenario described

above in helping them determine whether that PM should have been

skipped. It will also be valuable to them going for

updated plans and schedules.

Actenum’s software presents crucial information in real time for evalu

tion, so management can develop alternative action plans when nece

sary to ensure critical targets are not missed.

Figure 3: Scheduled maintenance and breakdown risk illustration

This type of tool and screen would clearly have been useful to both

maintenance and production management in the scenario described

above in helping them determine whether that PM should have been

o be valuable to them going for

updated plans and schedules.

Actenum’s software presents crucial information in real time for evalu

tion, so management can develop alternative action plans when nece

sary to ensure critical targets are not missed.

Figure 3: Scheduled maintenance and breakdown risk illustration

This type of tool and screen would clearly have been useful to both

maintenance and production management in the scenario described

above in helping them determine whether that PM should have been

o be valuable to them going for

Actenum’s software presents crucial information in real time for evalu

tion, so management can develop alternative action plans when nece

sary to ensure critical targets are not missed.

© 2016

Figure 3: Scheduled maintenance and breakdown risk illustration

This type of tool and screen would clearly have been useful to both

maintenance and production management in the scenario described

above in helping them determine whether that PM should have been

o be valuable to them going forward in

Actenum’s software presents crucial information in real time for evalu

tion, so management can develop alternative action plans when nece

sary to ensure critical targets are not missed.

6 Actenum Corporation. All rights reserved.

Figure 3: Scheduled maintenance and breakdown risk illustration

This type of tool and screen would clearly have been useful to both

maintenance and production management in the scenario described

above in helping them determine whether that PM should have been

ward in devising their

Actenum’s software presents crucial information in real time for evalu

tion, so management can develop alternative action plans when nece

Actenum Corporation. All rights reserved.

This type of tool and screen would clearly have been useful to both

maintenance and production management in the scenario described

above in helping them determine whether that PM should have been

devising their

Actenum’s software presents crucial information in real time for evalua-

tion, so management can develop alternative action plans when neces-

© 2015 Actenum Corporation. All rights reserved.

Actenum Corporation. All rights reserved.

Page 11: Challenges in Asset Management - · PDF fileand capabilities of current Actenum technology. Asset Management: An explanation What is asset management? There is no question that there

© 2016

6 Actenum Corporation. All rights reserved.

The challenge of

Organizational

Alignment

Actenum Corporation. All rights reserved.

challenge of

izational

Alignment

Actenum Corporation. All rights reserved.

In order to develop, maintain, revise, and optimize plans and schedules,

maintenance and production management need accurate and real

information to determine such things as:

� How will maintenance activities impact production? F

today’s mainte

week?

� What crucial maintenance activities cannot be skipped (like that

skipped PM)?

� What’s the best response to unanticipated events (such as an i

crease in demand or an

� Can machine failures be minimized, or even eliminated?

� What’s the best way to boost overall asset availability to meet pr

duction targets?

Moreover, maintenance and production managers

and collaborate in both the

execution and

organization, not just their individual departments.

Traditionally however, these efforts have been largely manual in nature,

aided in large m

nately, technologies such as

ing these efforts in both the slow

To illustrate, the screen shot in Figure 4 displays several missed prod

tion deadline risk factors and a very high breakdown risk for a proposed

maintenance and production schedule before the schedule is automat

cally optimized.

Figure 4

fore optimization

In order to develop, maintain, revise, and optimize plans and schedules,

maintenance and production management need accurate and real

information to determine such things as:

How will maintenance activities impact production? F

today’s mainte

week?

What crucial maintenance activities cannot be skipped (like that

skipped PM)?

What’s the best response to unanticipated events (such as an i

crease in demand or an

Can machine failures be minimized, or even eliminated?

What’s the best way to boost overall asset availability to meet pr

duction targets?

Moreover, maintenance and production managers

and collaborate in both the

execution and scheduling

organization, not just their individual departments.

Traditionally however, these efforts have been largely manual in nature,

aided in large measure only by spreadsheets and similar tools. Fort

nately, technologies such as

ing these efforts in both the slow

To illustrate, the screen shot in Figure 4 displays several missed prod

tion deadline risk factors and a very high breakdown risk for a proposed

maintenance and production schedule before the schedule is automat

cally optimized.

Figure 4: A schedule with

fore optimization

In order to develop, maintain, revise, and optimize plans and schedules,

maintenance and production management need accurate and real

information to determine such things as:

How will maintenance activities impact production? F

today’s maintenance shutdown cause a production problem next

What crucial maintenance activities cannot be skipped (like that

What’s the best response to unanticipated events (such as an i

crease in demand or an unanticipated breakdown)?

Can machine failures be minimized, or even eliminated?

What’s the best way to boost overall asset availability to meet pr

duction targets?

Moreover, maintenance and production managers

and collaborate in both the slow

scheduling phases. Such cooperation benefits the entire

organization, not just their individual departments.

Traditionally however, these efforts have been largely manual in nature,

easure only by spreadsheets and similar tools. Fort

nately, technologies such as the DSO/Maintenance

ing these efforts in both the slow

To illustrate, the screen shot in Figure 4 displays several missed prod

tion deadline risk factors and a very high breakdown risk for a proposed

maintenance and production schedule before the schedule is automat

chedule with high missed deadline

In order to develop, maintain, revise, and optimize plans and schedules,

maintenance and production management need accurate and real

information to determine such things as:

How will maintenance activities impact production? F

nance shutdown cause a production problem next

What crucial maintenance activities cannot be skipped (like that

What’s the best response to unanticipated events (such as an i

unanticipated breakdown)?

Can machine failures be minimized, or even eliminated?

What’s the best way to boost overall asset availability to meet pr

Moreover, maintenance and production managers

slow-loop planning phase and the fast

phases. Such cooperation benefits the entire

organization, not just their individual departments.

Traditionally however, these efforts have been largely manual in nature,

easure only by spreadsheets and similar tools. Fort

the DSO/Maintenance

ing these efforts in both the slow-loop and fast

To illustrate, the screen shot in Figure 4 displays several missed prod

tion deadline risk factors and a very high breakdown risk for a proposed

maintenance and production schedule before the schedule is automat

high missed deadline

In order to develop, maintain, revise, and optimize plans and schedules,

maintenance and production management need accurate and real

How will maintenance activities impact production? F

nance shutdown cause a production problem next

What crucial maintenance activities cannot be skipped (like that

What’s the best response to unanticipated events (such as an i

unanticipated breakdown)?

Can machine failures be minimized, or even eliminated?

What’s the best way to boost overall asset availability to meet pr

Moreover, maintenance and production managers have to

loop planning phase and the fast

phases. Such cooperation benefits the entire

organization, not just their individual departments.

Traditionally however, these efforts have been largely manual in nature,

easure only by spreadsheets and similar tools. Fort

the DSO/Maintenance software are facilita

loop and fast-loop phases.

To illustrate, the screen shot in Figure 4 displays several missed prod

tion deadline risk factors and a very high breakdown risk for a proposed

maintenance and production schedule before the schedule is automat

high missed deadlines and risk of

In order to develop, maintain, revise, and optimize plans and schedules,

maintenance and production management need accurate and real-

How will maintenance activities impact production? For example, will

nance shutdown cause a production problem next

What crucial maintenance activities cannot be skipped (like that

What’s the best response to unanticipated events (such as an in-

unanticipated breakdown)?

Can machine failures be minimized, or even eliminated?

What’s the best way to boost overall asset availability to meet pr

have to cooperate

loop planning phase and the fast-loop

phases. Such cooperation benefits the entire

Traditionally however, these efforts have been largely manual in nature,

easure only by spreadsheets and similar tools. Fort

software are facilita

loop phases.

To illustrate, the screen shot in Figure 4 displays several missed prod

tion deadline risk factors and a very high breakdown risk for a proposed

maintenance and production schedule before the schedule is automat

risk of breakdown,

11

In order to develop, maintain, revise, and optimize plans and schedules,

-time

example, will

nance shutdown cause a production problem next

What crucial maintenance activities cannot be skipped (like that

n-

What’s the best way to boost overall asset availability to meet pro-

cooperate

loop

phases. Such cooperation benefits the entire

Traditionally however, these efforts have been largely manual in nature,

easure only by spreadsheets and similar tools. Fortu-

software are facilitat-

To illustrate, the screen shot in Figure 4 displays several missed produc-

tion deadline risk factors and a very high breakdown risk for a proposed

maintenance and production schedule before the schedule is automati-

breakdown, be-

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12

When the same schedule is optimized,

ally eliminated, as illustrated in Figure 5.

Figure 5

proves both missed deadlines and breakdown risk

en the same schedule is optimized,

ally eliminated, as illustrated in Figure 5.

Figure 5: Automated

proves both missed deadlines and breakdown risk

en the same schedule is optimized,

ally eliminated, as illustrated in Figure 5.

Automated optimization with DSO/Maintenance significantly i

proves both missed deadlines and breakdown risk

en the same schedule is optimized, though

ally eliminated, as illustrated in Figure 5.

optimization with DSO/Maintenance significantly i

proves both missed deadlines and breakdown risk

© 2016

though, the risk factors are virt

optimization with DSO/Maintenance significantly i

proves both missed deadlines and breakdown risk

6 Actenum Corporation. All rights reserved.

, the risk factors are virt

optimization with DSO/Maintenance significantly i

Actenum Corporation. All rights reserved.

, the risk factors are virtu-

optimization with DSO/Maintenance significantly im-

© 2015 Actenum Corporation. All rights reserved.

Actenum Corporation. All rights reserved.

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© 2016 Actenum Corporation. All rights reserved.

13

Advanced software

facilitates planning and

scheduling

The benefits to implementing advanced software technology to assist

with maintenance and production planning and scheduling are numer-

ous. To highlight several of the primary advantages, DSO/Maintenance

software:

� Speeds coordinated planning in both the slow-loop and fast-loop

phases,

� Coordinates the creation of production of both maintenance and

production schedules,

� Displays production output by time period, (daily, weekly, monthly,

quarterly, etc., or user defined)

� Lists detailed maintenance activities and schedules

� Automatically calculates the best possible maintenance and produc-

tion schedules,

� Displays revisions and impacts to the schedule in real-time,

� Measures and displays risks of missing production targets,

� Measures and displays potential breakdown risks,

� Evaluates and displays potential conflicts; e.g., a technician with a

required skill is not available for a scheduled PM, or a production as-

set is not available for a production run due to a scheduled PM,

� Analyzes and displays a wide variety of user defined Key Perfor-

mance Indicators (KPIs), such as equipment availability and utiliza-

tion or production output.

Actenum recognizes, though, that seasoned and experienced profes-

sionals in asset intensive industries know a great deal about their envi-

ronments. So the company designed DSO/Maintenance to allow for what

the company refers to as a “two expert” approach. Maintenance and

production managers and authorized users can easily and actively inter-

act with the software using a “drag and drop” interface to manipulate

and revise the schedule. DSO/Maintenance analyzes and evaluates all

suggested revisions made to the schedules in this fashion and presents

the updated schedule, the potential conflicts, the possible risks, the KPI

impacts, and other factors back to the users in real-time for instant anal-

ysis and action.

Integrate with Back Office, Project, and Primavera

DSO/Maintenance is a stand-alone application that easily integrates with

a variety of CMMS and EAM systems. It also easily integrates with and

optimizes schedules generated in Microsoft Project or in Oracle Pri-

mavera.

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14

Enhanced

sions boost

management p

formance

Enhanced Deci-

oost asset

ment per-

formance

Organizations today gather an enormous amount of data about the a

sets they use and maintain. They store that data as information in the

advanced ERP, CMMS, EAM, and other systems that are available

we said at the beginning of this paper,

of itself is not valuable unless some

good decisions that positively impact an asset

Actenum’s

and production management

great decisions

produce goods, to extend their useful life, and to provide an improved

return on assets (ROA) fin

The user normally works

automatic. In manual mode, the user may select activities and drag and

drop them elsewhere in the

moved, the optimization objectives will be updated to reflect the ou

come

sary. In automatic mode, the optimization engine takes control of the

schedule and

isfy the optimization objective targets (for exam

tion output, or minimizing costs). Once the optimizer has generated a

new schedule, the user can examine the objectives) usually referred to

as Key Performance Indicators (KPIs), generate desired reports, and send

the schedule to exte

rganizations today gather an enormous amount of data about the a

sets they use and maintain. They store that data as information in the

advanced ERP, CMMS, EAM, and other systems that are available

we said at the beginning of this paper,

elf is not valuable unless some

good decisions that positively impact an asset

Actenum’s DSO/Maintenance

and production management

great decisions—decisions that positively impact the assets’ ability to

produce goods, to extend their useful life, and to provide an improved

return on assets (ROA) fin

The user normally works

automatic. In manual mode, the user may select activities and drag and

drop them elsewhere in the

moved, the optimization objectives will be updated to reflect the ou

come of the change. Each such change may be easily undone, if nece

sary. In automatic mode, the optimization engine takes control of the

schedule and assigns

isfy the optimization objective targets (for exam

tion output, or minimizing costs). Once the optimizer has generated a

new schedule, the user can examine the objectives) usually referred to

as Key Performance Indicators (KPIs), generate desired reports, and send

the schedule to exte

rganizations today gather an enormous amount of data about the a

sets they use and maintain. They store that data as information in the

advanced ERP, CMMS, EAM, and other systems that are available

we said at the beginning of this paper,

elf is not valuable unless some

good decisions that positively impact an asset

DSO/Maintenance does just that. It empowers maintenance

and production management staff

decisions that positively impact the assets’ ability to

produce goods, to extend their useful life, and to provide an improved

return on assets (ROA) financial measurement.

The user normally works with the schedule in two modes: manual and

automatic. In manual mode, the user may select activities and drag and

drop them elsewhere in the schedule

moved, the optimization objectives will be updated to reflect the ou

of the change. Each such change may be easily undone, if nece

sary. In automatic mode, the optimization engine takes control of the

assigns activities in order to satisfy constraints, and to sa

isfy the optimization objective targets (for exam

tion output, or minimizing costs). Once the optimizer has generated a

new schedule, the user can examine the objectives) usually referred to

as Key Performance Indicators (KPIs), generate desired reports, and send

the schedule to external execution and enterprise systems.

rganizations today gather an enormous amount of data about the a

sets they use and maintain. They store that data as information in the

advanced ERP, CMMS, EAM, and other systems that are available

we said at the beginning of this paper, information about assets in and

elf is not valuable unless someone uses the information to make

good decisions that positively impact an asset

does just that. It empowers maintenance

staff to use available information to make

decisions that positively impact the assets’ ability to

produce goods, to extend their useful life, and to provide an improved

ancial measurement.

with the schedule in two modes: manual and

automatic. In manual mode, the user may select activities and drag and

schedule Gantt chart. As activities are

moved, the optimization objectives will be updated to reflect the ou

of the change. Each such change may be easily undone, if nece

sary. In automatic mode, the optimization engine takes control of the

activities in order to satisfy constraints, and to sa

isfy the optimization objective targets (for exam

tion output, or minimizing costs). Once the optimizer has generated a

new schedule, the user can examine the objectives) usually referred to

as Key Performance Indicators (KPIs), generate desired reports, and send

rnal execution and enterprise systems.

© 2016

rganizations today gather an enormous amount of data about the a

sets they use and maintain. They store that data as information in the

advanced ERP, CMMS, EAM, and other systems that are available

information about assets in and

one uses the information to make

good decisions that positively impact an asset’s performance.

does just that. It empowers maintenance

to use available information to make

decisions that positively impact the assets’ ability to

produce goods, to extend their useful life, and to provide an improved

ancial measurement.

with the schedule in two modes: manual and

automatic. In manual mode, the user may select activities and drag and

Gantt chart. As activities are

moved, the optimization objectives will be updated to reflect the ou

of the change. Each such change may be easily undone, if nece

sary. In automatic mode, the optimization engine takes control of the

activities in order to satisfy constraints, and to sa

isfy the optimization objective targets (for example, maximizing produ

tion output, or minimizing costs). Once the optimizer has generated a

new schedule, the user can examine the objectives) usually referred to

as Key Performance Indicators (KPIs), generate desired reports, and send

rnal execution and enterprise systems.

6 Actenum Corporation. All rights reserved.

rganizations today gather an enormous amount of data about the a

sets they use and maintain. They store that data as information in the

advanced ERP, CMMS, EAM, and other systems that are available. But as

information about assets in and

one uses the information to make

s performance.

does just that. It empowers maintenance

to use available information to make

decisions that positively impact the assets’ ability to

produce goods, to extend their useful life, and to provide an improved

with the schedule in two modes: manual and

automatic. In manual mode, the user may select activities and drag and

Gantt chart. As activities are

moved, the optimization objectives will be updated to reflect the ou

of the change. Each such change may be easily undone, if nece

sary. In automatic mode, the optimization engine takes control of the

activities in order to satisfy constraints, and to sa

ple, maximizing produ

tion output, or minimizing costs). Once the optimizer has generated a

new schedule, the user can examine the objectives) usually referred to

as Key Performance Indicators (KPIs), generate desired reports, and send

rnal execution and enterprise systems.

Actenum Corporation. All rights reserved.

rganizations today gather an enormous amount of data about the as-

sets they use and maintain. They store that data as information in the

. But as

information about assets in and

one uses the information to make

does just that. It empowers maintenance

to use available information to make

decisions that positively impact the assets’ ability to

produce goods, to extend their useful life, and to provide an improved

with the schedule in two modes: manual and

automatic. In manual mode, the user may select activities and drag and

moved, the optimization objectives will be updated to reflect the out-

of the change. Each such change may be easily undone, if neces-

sary. In automatic mode, the optimization engine takes control of the

activities in order to satisfy constraints, and to sat-

ple, maximizing produc-

tion output, or minimizing costs). Once the optimizer has generated a

new schedule, the user can examine the objectives) usually referred to

as Key Performance Indicators (KPIs), generate desired reports, and send

© 2015 Actenum Corporation. All rights reserved.

Actenum Corporation. All rights reserved.

Page 15: Challenges in Asset Management - · PDF fileand capabilities of current Actenum technology. Asset Management: An explanation What is asset management? There is no question that there

© 2016 Actenum Corporation. All rights reserved.

15

About Michael Israel

igniteService, Inc. provides expert business consulting and marketing

support for companies with customer service, field service, repair depot

and asset maintenance operations, and for vendors providing technolo-

gy solutions to those companies.

igniteService can be contacted at 702.476.5328.

Actenum Corporation

Actenum develops scheduling and optimization software for oil & gas

operators.

Our products create shareholder value for our customers by increasing

operational efficiency, reducing cycle times, and improving collaboration

within teams.

Our customers, including some of the largest oil & gas companies in the

world, use our software to schedule and manage complex programs,

with demanding cycle times that sometimes involve thousands of activi-

ties, and milestones. Our solutions increase production uptime through

rapid, reliable scheduling of production assets.

To speak to an Actenum representative, or to schedule a demonstration,

please contact us at 604.681.1262, or [email protected].

© 2009-2016 Actenum Corporation

Page 16: Challenges in Asset Management - · PDF fileand capabilities of current Actenum technology. Asset Management: An explanation What is asset management? There is no question that there

16

© 2015 Actenum Corporation. All rights reserved.

© 2016 Actenum Corporation. All rights reserved.

VANCOUVER (Corporate headquarters)

Actenum Corporation

745 Thurlow Street, 14th Floor

Vancouver BC V6E 0C5

Canada

Telephone: +1.604.681.1262

HOUSTON

Actenum Corporation

1700 Post Oak Boulevard

2 Boulevard Place, Suite 600

Houston, TX 77056

Telephone: +1.713.963.3629