Is Your Project Agile, a Scrum or a Kanban?

Few projects pan out the way we expect when starting out. This is normal in any creative planning phase. We half suspect the ones that follow a straight line are the exceptions to the rule. Urban legend has it; Edison made a thousand prototypes before his first bulb lit up, and then went on to comment, ?genius is 1% inspiration, 99% perspiration?. Later, he added that many of life’s failures are people who did not realise just how close they were to success when they gave up.

So be it to this day, and so be it with project planning too. There is no one size fits all approach when it comes to it. Agile, Scrum and Kanban each have their supporters and places where they do well. Project planning often works best when we use a sequential combination of them, appropriate to what is currently happening on the ground.

Of the three, Agile is by far the most comprehensive. It provides a structure that begins with project vision / conceptualisation, and goes as far as celebration when the job is over, and retrospective discussion afterwards. However, the emphasis on daily planning meetings may dent freethinking, and even smother it.

Scrum on the other hand says ?forget all that bureaucracy?. There is a job to do and today is the day we are going to do it. Although the core Agile teamwork is still there it ignores macro project planning, and could not be bothered with staying in touch with customers. If using Scrum, it is best to give those jobs to someone else.

The joker in the pack is Kanban, It believes that rules are there to substitute for thought, and that true progress only comes from responsible freedom. It belongs in mature organisations that have passed through Scrum and Agile phases and have embarked on a voyage towards perfection.

That said, there can be no substitute for human leadership, especially when defined as the social influence that binds the efforts of others towards a single task.

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What Energy Management Software did for CDC

Chrome Deposit Corporation ? that’s CDC for short ? reconditions giant rollers used to finish steel and aluminium sheets in Portage, Indiana by applying grinding, texturing and plating methods. While management was initially surprised when the University of Delaware singled their plant out for energy assessment, this took them on a journey to bring energy consumption down despite being in an expansion phase.

Metal finishing and refinishing is an energy-intensive business where machines mainly do the work while workforces as small as 50 individuals tend them. Environmental impacts also need countering within a challenging environment of burgeoning natural gas and electricity prices.

The Consultant’s Recommendations

The University of Delaware was fortunate that Chrome Deposit Corporation had consistently measured its energy consumption since inception in 1986. This enabled it to pinpoint six strategies as having potential for technological and process improvements.

  • Insulate condensate tanks and pipes
  • Analyse flue gas air-fuel ratios
  • Lower compressed air pressures
  • Install stack dampers on boilers
  • Replace belts with pulleys and cogs
  • Fit covers on plant exhaust fans

CDC implemented only four of the six recommendations. This was because the boiler manufacturer did not recommend stack dampers, and the company was unable to afford certain process automation and controls.

Natural Gas Savings

The project team began by analysing stack gases from boilers used to heat chrome tanks and evaporate wastewater. They found the boilers were burning rich and that several joints in gas lines were leaking. Correcting these issues achieved an instant gas saving of 12% despite increased production.

Reduced Water Consumption

The team established that city water was used to cool the rectifiers. It reduced this by an astonishing 85% by implementing a closed-loop system and adding two chillers. This also helped the water company spend less on chemicals, and energy to drive pumps, purifiers and fans.

Summary of Benefits

Electricity consumption reduced by 18% in real terms, and natural gas by 35%. When these two savings are merged they represent an overall 25% energy saving. These benefits were implemented across the company?s six other plants, resulting in benefits CDC management never dreamed of when the University of Delaware approached them.

ecoVaro offers a similar data analytics service that is available online worldwide. We have helped other companies slash their energy bills with similarly exciting results. We?ll be delighted to share ideas that only data analytics can reveal.

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Using Pull Systems to Optimise Work Flows in Call Centres

When call centres emerged towards the end of the 20th century, they deserved their name ?the sweatshops of the nineties?. A new brand of low-paid workers crammed into tiny cubicles to interact with consumers who were still trying to understand the system. Supervisors followed ?scientific management? principles aimed at maximising call-agent activity. When there was sudden surge in incoming calls, systems and customer care fell over.

The flow is nowadays in the opposite direction. Systems borrowed from manufacturing like Kanban, Pull, and Levelling are in place enabling a more customer-oriented approach. In this short article, our focus is on Pull Systems. We discuss what are they, and how they can make modern call centres even better for both sets of stakeholders.

Pull Systems from a Manufacturing Perspective

Manufacturing has traditionally been push-based. Sums are done, demand predicted, raw materials ordered and the machines turned on. Manufacturers send out representatives to obtain orders and push out stock. If the sums turn out wrong inventories rise, and stock holding costs increase. The consumer is on the receiving end again and the accountant is irritable all day long.

Just-in-time thinking has evolved a pull-based approach to manufacturing. This limits inventories to anticipated demand in the time it takes to manufacture more, plus a cushion as a trigger. When the cushion is gone, demand-pull spurs the factory into action. This approach brings us closer to only making what we can sell. The consumer benefits from a lower price and the accountant smiles again.

Are Pull Systems Possible in Dual Call Centres

There are many comments in the public domain regarding the practicality of using lean pull systems to regulate call centre workflow. Critics point to the practical impossibility of limiting the number of incoming callers. They believe a call centre must answer all inbound calls within a target period, or lose its clients to the competition.

In this world-view customers are often the losers. At peak times, operators can seem keen to shrug them off with canned answers. When things are quiet, they languidly explain things to keep their occupancy levels high. But this is not the end of the discussion, because modern call centres do more than just take inbound calls.

Using the Pull System Approach in Dual Call Centres

Most call centre support-desks originally focused are handling technical queries on behalf of a number of clients. When these clients? customers called in, their staff used operator?s guides to help them answer specific queries. Financial models?determined staffing levels and the number of ?man-hours? available daily. Using a manufacturing analogy, they used a push-approach to decide the amount of effort they were going to put out, and that is where they planted their standard.

Since these early 1990 days, advanced telephony on the internet has empowered call centres to provide additional remote services in any country with these networks. They have added sales and marketing to their business models, and increased their revenue through commissions. They have control over activity levels in this part of their business. They have the power to decide how many calls they are going to make, and within reason when they are going to make them.

This dichotomy of being passive regarding incoming traffic on the one hand, and having active control over outgoing calls on the other, opens up the possibility of a partly pull-based lean approach to call centre operation. In this model, a switching mechanism moves dual trained operators between call centre duties and marketing activities, as required by the volume of call centre traffic, thus making a pull system viable in dual call centres.

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New Focus on Monitoring Soil

There is nothing new about monitoring soil in arid conditions. South Africa and Israel have been doing it for decades. However climate change has increased its urgency as the world comes to terms with pressure on the food chain. Denizon decided to explore trends at the macro first world level and the micro third world one.

In America, the Coordinated National Soil Moisture Network is going ahead with plans to create a database of federal and state monitoring networks and numerical modelling techniques, with an eye on soil-moisture database integration. This is a component of the National Drought Resilience Partnership that slots into Barrack Obama?s Climate Action Plan.

This far-reaching program reaches into every corner of American life to address the twin scourges of droughts and inundation, and the agency director has called it ?probably ?… one of the most innovative inter-agency tools on the planet?. The pilot project involving remote moisture sensing and satellite observation targets Oklahoma, North Texas and surrounding areas.

Africa has similar needs but lacks America?s financial muscle. Princeton University ecohydrologist Kelly Caylor is bridging the gap in Kenya and Zambia by using cell phone technology to transmit ecodata collected by low-cost ?pulsepods?.

He deploys the pods about the size of smoke alarms to measure plants and their environment.?Aspects include soil moisture to estimate how much water they are using, and sunlight to approximate the rate of photosynthesis. Each pod holds seven to eight sensors, can operate on or above the ground, and transmits the data via sms.

While the system is working well at academic level, there is more to do before the information is useful to subsistence rural farmers living from hand to mouth. The raw data stream requires interpretation and the analysis must come through trusted channels most likely to be the government and tribal chiefs. Kelly Caylor cites the example of a sick child. The temperature reading has no use until a trusted source interprets it.

He has a vision of climate-smart agriculture where tradition gives way to global warming. He involves local farmers in his research by enrolling them when he places pods, and asking them to sms weekly weather reports to him that he correlates with the sensor data. As trust builds, he hopes to help them choose more climate-friendly crops and learn how to reallocate labour as seasons change.

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