Welcome!

Related Topics: Microservices Expo, Java IoT, Linux Containers, Containers Expo Blog, @BigDataExpo, SDN Journal

Microservices Expo: Article

Agile 101 - Three Practical Guidelines for Business Decisions

A humorous and practical approach to understanding why decisions are so complex

In order to create the combination between top-down problem-decisions (waterfall like approaches)and local problem-decisions (Agile project approach) here are practical guidelines to pursue

Three practical complex decision-problems guidelines:

  • Simple local rules
  • Strategic top down rules
  • Visual problem view

We describe in detail, each practical guideline, below.

Simple local rules
This cannot be overstated. Local rules must be easy to follow. Whether these are rules for: a machine operator, traveling salesperson, a project coordinator, or you packing your bags.

The local decision rules are the ones mostly used, they must be easy to follow, understandable, and unequivocal. Consider the warehouse forklift operator who is re- stocking raw material. If she needs to follow a complex decision protocol for placing newly arrived material in the warehouse, it would result in chaos.

Instead, we need to equip her with an easy to follow mechanism for stocking the warehouse.

One such mechanism is FIFO - First In First Out. This is also the rule, you're following when stocking your fridge with groceries, if you don't want dairy products to go sour.

Supermarkets also follow this rule when their organizing their product shelves. At least, they're supposed to follow this rule, otherwise they will have outdated products on display.

The modern big supermarkets actually stock fresh items from the back, ascertaining this way, that older items are pushed forward.

Sly consumers will then pick up dairy products from the back of the shelf if they want to make sure that it is the freshest available.

There is even an acronym that goes along with local rule simplicity which is: KISS - and stands for: keep it simple and straightforward.

The Japanese KANBAN approach which we've previously mentioned, implements an easy to follow rule of thumb.

It is: when you're operating a manufacturing machine, you should only produce when the physical container carrying a finished product in front of you, is empty. In practice this was actualized by using Kanban cards. Kanban is the Japanese word for card.

For manufacturing purposes it much easier for operators to follow this simple rule. However, ordinarily in production floors, operators follow a complex weekly/daily production plan that is very confusing. This is the opposite of simple.

Make your local decision-problem rules are simple

Such as:

  • Travel to the next cheapest destination
  • Pack the smallest item first
  • Work on the easiest element first
  • Stock according to FIFO

Strategic top down rules

The strategic top down rule which we select for our decision-problem has to constrain our decision space.

Consider for example a hospital's most expensive resource - the surgery room. Each such room has to be utilized as much as possible.

Reaching 100% utilization is not feasible - this can be proved using queuing theory; however 85%-90% utilization is desirable. The reason we require high utilization is for the pay back on the investment. The hospital invested money for the equipment in building and equipping the room and wishes to receive a return on the investment.

Hospitals' surgery rooms are generally a resource in shortage, hence there will always be patients requiring the room. It seems logical that the 85%-90% utilization will be easily achieved. This is not that case - the rooms are approximately 65% utilized in many cases - and it is driving the financial officers of hospitals crazy.

It drives them crazy almost to the point that they require ulcer treatment and have to wait in line for the surgical procedure - and yet the operation room is only 65% utilized.

The situation described of having lower utilization than expected and desired has to do with selecting an unsuitable top down problem-decision rule. The hospital schedules surgical procedures, utilizing the operation rooms, by using a monthly plan, as we've illustrated before, the top down plan fails because of many small changes.

What are these small changes and why do they occur?

In order to perform a surgical procedure in the operation room, the room has to be ready - i.e., cleaned, sterilized and with the proper equipment. The surgeon and his staff also have to be ready.

What happens if the surgeon and his staff are ready and waiting, however the room isn't prepped and cleaned?

The impact: we have very expensive employees (the physician, surgeon and others in the team) and a very expensive resource (the surgery room) as well as a prepped patient - all waiting for the room to be cleaned.

Wait a minute - this doesn't make sense you say! Didn't the top-down plan specify that maintenance personal have to be cleaning, equipping and readying the room?

The plan might have have designated and scheduled the cleaning to be performed, however the cleaning staff is currently working in another location and are unavailable for cleaning the specific room.

Crazy - we have two very expensive resources waiting for important yet cheaper staff.

Why aren't there enough cleaning staff?

Because the top down rule, that the ulcer stricken financial officer defined, is based on efficient planning and budgeting of resources. In this plan, it makes no logical sense hoarding on maintenance staff when we can fire them and save...

Thus, selecting the wrong top down planning, decision mechanism leads to an ineffective use of the hospital's expensive resources.

The depicted hospital scenario is quite common in many industries. Eli Goldratt, a physicist by education, claimed that we wrongly select the top down rules to manage our complex systems and to make decisions. Since the top down plan will fail, we won't be using the critical resources in our system optimally. He suggested an alternative top down rule which he presents in five books. The rule he devised is known as the theory of constraints, and in each book he applies it to different departments within a company. In each department the fundamental concept is to analyze the critical resource from the system perspective and utilize it optimally.

The theory of constraints top down problem-decision rule: always protect the most limited and expensive resource. Protect its time, utilization, and allocation.

In the hospital scenario, the top down rule would translate into constructing the plan around the surgery rooms and expert physicians, making sure that the cleaning staff is always ready before time, catering to the room.

The approach translates into a seemingly surplus of maintenance employees, at times wallowing around the corridors having an extra Latte, and contributing to the financial officer's ulcer. The alternative though is worse, unacceptable mediocre utilization of surgery rooms.

There have been many academic critics of Goldratt's approach. However, most demonstrated that his approach fails in extreme conditions. For most business purposes, Goldratt offers a straight forward, intuitive, top down constraining, problem-decision rule.

An alternative to Goldratt's rule in production environment and in project portfolio management can be to limit the overall time or products that are processed. In other words, limit the WIP - work in process.

How would that rule operate in project portfolio management?

The IT or software departments will only accept new project, when their total work in progress is below a certain threshold. The underlying mechanism is of Pull - new projects are pulled into a work status from a backlog waiting queue based on the total number of projects that are at present, concurrently managed.

The constant work in process is an easier to manage rule, however it is difficult to figure the threshold and to commit to it, without surrendering to requests from top management. More on that, later.

Select a resource constraining top down rule, instead of planning the entire system.

Visual problem presentation

‘If we don't see it it's not there'

We assess the world around us through our eyes.

‘A picture is worth 1000 words'

The fundamental principle is that we rather see a graphical representation rather than a list.

‘Seeing is believing'

Philosophically speaking visual presentations can lead sometimes to mistaken results, however more often they DO enable us to clearly see the overall problem.

Since we use our eyes as the tool to capture the world, it is crucial that we inspect and evaluate decision-problems in the same way.

Visual representations of decision-problems enable us to better grasp, the problem, assumptions, constraints, options and solutions.

Reflect for minutes on the traveling salesperson problem. It's much easier to explore a tangible map of 10, 15 or even 30 destinations and analyze possible routes, rather than assess the problem using a table or spreadsheet.

The same is true for production environments. It is easier to solve the complexity of production machine allocations, using visual signals such as Kanban boards and cards, rather than using a computer-generated paper output of production orders.

One of the challenges we've witnessed in managing multi projects in virtual global companies, is that we lacked the visual representation of the activities and projects allocated to resources and people.

Use any relevant tool to display the decision-problem visually.

For example: During a project at a petrochemical plant, we created a war room for the intense 4 months, construction stage. While we had a detailed Gantt chart with over 2000 entrees for specific activities of construction, it made more sense to create huge visual boards depicting daily tasks with resource and people allocated, to display overall allocations, possible collision points, impacts, deadlines, opportunities, and threats.

The strategic top-down rule has to be shown in the visual representation of the problem. Hence, it is not enough to portray the problem using a visual approach, it is also important to superimpose the strategic top-down rule on the visual presentation of the problem.

How can we illustrate the strategic top-down rule on the visual image?

  • Using computers this would be done adding an extra layer on top of the decision problem.
  • In our physical war room example this was actualized by different colors, stickers and other visual tools to depict the strategic decision rule visually.
  • In production floors this would be achieved by adding physical signals, drawing signs and images around and in front strategic human operators, machines and other facilities within the production floor.

Create a visual representation of the complex decision-problem. Use visual methods to illustrate the top-down strategic decision rule

Two more rules:

  • Realignments feedback mechanism

•    Enforce consistency through publicity

Are presented in the best seller: D-side - practical decision making business Guide

You will also find there more about decision making, it is a a humoristic practical approach to understanding why decisions are so complex and what can be done about it

 

More Stories By Michael Nir

Michael Nir - President of Sapir Consulting - (M.Sc. Engineering) has been providing operational, organizational and management consulting and training for over 15 years. He is passionate about Gestalt theory and practice, which complements his engineering background and contributes to his understanding of individual and team dynamics in business. Michael authored 8 Bestsellers in the fields of Influencing, Agile, Teams, Leadership and others. Michael's experience includes significant expertise in the telecoms, hi-tech, software development, R&D environments and petrochemical & infrastructure industries. He develops creative and innovative solutions in project and product management, process improvement, leadership, and team building programs. Michael's professional background is analytical and technical; however, he has a keen interest in human interactions and behaviors. He holds two engineering degrees from the prestigious Technion Institute of Technology: a Bachelor of civil engineering and Masters of Industrial engineering. He has balanced his technical side with the extensive study and practice of Gestalt Therapy and "Instrumental Enrichment," a philosophy of mediated learning. In his consulting and training engagements, Michael combines both the analytical and technical world with his focus on people, delivering unique and meaningful solutions, and addressing whole systems.

Latest Stories
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, will provide a fun and simple way to introduce Machine Leaning to anyone and everyone. Together we will solve a machine learning problem and find an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intellige...
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution. EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
Gemini is Yahoo’s native and search advertising platform. To ensure the quality of a complex distributed system that spans multiple products and components and across various desktop websites and mobile app and web experiences – both Yahoo owned and operated and third-party syndication (supply), with complex interaction with more than a billion users and numerous advertisers globally (demand) – it becomes imperative to automate a set of end-to-end tests 24x7 to detect bugs and regression. In th...
Infoblox delivers Actionable Network Intelligence to enterprise, government, and service provider customers around the world. They are the industry leader in DNS, DHCP, and IP address management, the category known as DDI. We empower thousands of organizations to control and secure their networks from the core-enabling them to increase efficiency and visibility, improve customer service, and meet compliance requirements.
In his session at 21st Cloud Expo, Michael Burley, a Senior Business Development Executive in IT Services at NetApp, will describe how NetApp designed a three-year program of work to migrate 25PB of a major telco's enterprise data to a new STaaS platform, and then secured a long-term contract to manage and operate the platform. This significant program blended the best of NetApp’s solutions and services capabilities to enable this telco’s successful adoption of private cloud storage and launchi...
The session is centered around the tracing of systems on cloud using technologies like ebpf. The goal is to talk about what this technology is all about and what purpose it serves. In his session at 21st Cloud Expo, Shashank Jain, Development Architect at SAP, will touch upon concepts of observability in the cloud and also some of the challenges we have. Generally most cloud-based monitoring tools capture details at a very granular level. To troubleshoot problems this might not be good enough.
As popularity of the smart home is growing and continues to go mainstream, technological factors play a greater role. The IoT protocol houses the interoperability battery consumption, security, and configuration of a smart home device, and it can be difficult for companies to choose the right kind for their product. For both DIY and professionally installed smart homes, developers need to consider each of these elements for their product to be successful in the market and current smart homes.
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm. In their Day 3 Keynote at 20th Cloud Expo, Chris Brown, a Solutions Marketing Manager at Nutanix, and Mark Lav...
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
Cloud Expo, Inc. has announced today that Andi Mann and Aruna Ravichandran have been named Co-Chairs of @DevOpsSummit at Cloud Expo Silicon Valley which will take place Oct. 31-Nov. 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. "DevOps is at the intersection of technology and business-optimizing tools, organizations and processes to bring measurable improvements in productivity and profitability," said Aruna Ravichandran, vice president, DevOps product and solutions marketing...
The dynamic nature of the cloud means that change is a constant when it comes to modern cloud-based infrastructure. Delivering modern applications to end users, therefore, is a constantly shifting challenge. Delivery automation helps IT Ops teams ensure that apps are providing an optimal end user experience over hybrid-cloud and multi-cloud environments, no matter what the current state of the infrastructure is. To employ a delivery automation strategy that reflects your business rules, making r...
Digital transformation is changing the face of business. The IDC predicts that enterprises will commit to a massive new scale of digital transformation, to stake out leadership positions in the "digital transformation economy." Accordingly, attendees at the upcoming Cloud Expo | @ThingsExpo at the Santa Clara Convention Center in Santa Clara, CA, Oct 31-Nov 2, will find fresh new content in a new track called Enterprise Cloud & Digital Transformation.
Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software. They hope to capture value from emerging technologies such as IoT, SDN, and AI. Ultimately, irrespective of the vertical, it is about deriving value from independent software applications participating in an ecosystem as one comprehensive solution. In his session at @ThingsExpo, Kausik Sridhar, founder and CTO of Pulzze Systems, will discuss how given the magnitude of today's applicati...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
SYS-CON Events announced today that mruby Forum will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. mruby is the lightweight implementation of the Ruby language. We introduce mruby and the mruby IoT framework that enhances development productivity. For more information, visit http://forum.mruby.org/.