Fixes that fail is a system archetype that in system dynamics is used to describe and analyze a situation, where a fix effective in the short-term creates side effects for the long-term behaviour of the system and may result in the need of even more fixes. [1] This archetype may be also known as fixes that backfire [2] or corrective actions that fail. [3] It resembles the Shifting the burden archetype. [4]
In a "fixes that fail" scenario the encounter of a problem is faced by a corrective action or fix that seems to solve the issue. However, this action leads to some unforeseen consequences. They form then a feedback loop that either worsens the original problem or creates a related one. [2] [3]
In system dynamics this is described by a circles of causality (Fig. 1) as a system consisting of two feedback loops. One is the balancing feedback loop B1 of the corrective action, the second is the reinforcing feedback loop R2 of the unintended consequences. These influence the problem with a delay and therefore make it difficult to recognize the source of the new rise of the problem. [1]
Representation of the long-term disadvantages of the scenario can be seen on Fig. 2. Although the symptoms go through a decrease when fixes are applied, the overall crisis threshold rises. [4] [5]
A representation with a stock and flow diagram of this archetype is on Fig. 3.
The fix influences the number of problems present in the system proportionally to the fix factor and the problems to be resolved. When activated by the action variable, the fix lowers the problems, thus creating a balancing loop. However, each fix also starts a delayed consequence which adds to the problems proportionally to the consequence factor and the fix applied. Combined, these create a growing number of problems to be dealt with.
As an archetype, it helps to gain insight into patterns that are present in the system and thereby also give the tools to change these patterns. In the case of "Fixes that fail", the warning sign is a problem which reappears although fixes were applied. It is crucial to recognize that the fix only adds to the overall deteriorating state and does not solve the problem. To identify this pattern, it is needed to consider a connection between the symptoms and the fixes we apply to solve them, which can be very difficult to do. [4] In management this can be present as a "hero-scapegoat" cycle. While the manager who applied the fix gets promoted for diminishing the problem. A new manager must face the returning problem symptom and may be punished for failing to do his job. Then a new hero is found who temporarily solves the problem symptoms. The delay of the reinforcing loop makes it difficult to recognize the causal relation between the fix applied to the symptoms and the new problems arising. What then seems to be a series of successes in short-term then are steps towards failure on the long-term. [5]
Some typical ways of thinking associated with the pattern are:
They can serve as a warning that this archetype is present or will be.
If this pattern is recognized, then there are multiple possibilities how to react, depending on which leverage point is addressed:
A few common examples of the pattern. The situation describes always the starting point to which a fix is applied. This bears then the consequences which are confronted again with a new fix.
Control theory is a field of control engineering and applied mathematics that deals with the control of dynamical systems in engineered processes and machines. The objective is to develop a model or algorithm governing the application of system inputs to drive the system to a desired state, while minimizing any delay, overshoot, or steady-state error and ensuring a level of control stability; often with the aim to achieve a degree of optimality.
Feedback occurs when outputs of a system are routed back as inputs as part of a chain of cause-and-effect that forms a circuit or loop. The system can then be said to feed back into itself. The notion of cause-and-effect has to be handled carefully when applied to feedback systems:
Simple causal reasoning about a feedback system is difficult because the first system influences the second and second system influences the first, leading to a circular argument. This makes reasoning based upon cause and effect tricky, and it is necessary to analyze the system as a whole. As provided by Webster, feedback in business is the transmission of evaluative or corrective information about an action, event, or process to the original or controlling source.
Strategy is a general plan to achieve one or more long-term or overall goals under conditions of uncertainty. In the sense of the "art of the general", which included several subsets of skills including military tactics, siegecraft, logistics etc., the term came into use in the 6th century C.E. in Eastern Roman terminology, and was translated into Western vernacular languages only in the 18th century. From then until the 20th century, the word "strategy" came to denote "a comprehensive way to try to pursue political ends, including the threat or actual use of force, in a dialectic of wills" in a military conflict, in which both adversaries interact.
System dynamics (SD) is an approach to understanding the nonlinear behaviour of complex systems over time using stocks, flows, internal feedback loops, table functions and time delays.
Positive feedback is a process that occurs in a feedback loop which exacerbates the effects of a small disturbance. That is, the effects of a perturbation on a system include an increase in the magnitude of the perturbation. That is, A produces more of B which in turn produces more of A. In contrast, a system in which the results of a change act to reduce or counteract it has negative feedback. Both concepts play an important role in science and engineering, including biology, chemistry, and cybernetics.
Organization development (OD) is the study and implementation of practices, systems, and techniques that affect organizational change. The goal of which is to modify a group's/organization's performance and/or culture. The organizational changes are typically initiated by the group's stakeholders. OD emerged from human relations studies in the 1930s, during which psychologists realized that organizational structures and processes influence worker behavior and motivation.
In science and engineering, root cause analysis (RCA) is a method of problem solving used for identifying the root causes of faults or problems. It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis, medicine, healthcare industry, etc. Root cause analysis is a form of inductive and deductive inference.
A vicious circle is a complex chain of events that reinforces itself through a feedback loop, with detrimental results. It is a system with no tendency toward equilibrium, at least in the short run. Each iteration of the cycle reinforces the previous one, in an example of positive feedback. A vicious circle will continue in the direction of its momentum until an external factor intervenes to break the cycle. A well-known example of a vicious circle in economics is hyperinflation.
Government failure, in the context of public economics, is an economic inefficiency caused by a government intervention, if the inefficiency would not exist in a true free market. The costs of the government intervention are greater than the benefits provided. It can be viewed in contrast to a market failure, which is an economic inefficiency that results from the free market itself, and can potentially be corrected through government regulation. However, Government failure often arises from an attempt to solve market failure. The idea of government failure is associated with the policy argument that, even if particular markets may not meet the standard conditions of perfect competition required to ensure social optimality, government intervention may make matters worse rather than better.
Troubleshooting is a form of problem solving, often applied to repair failed products or processes on a machine or a system. It is a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again. Troubleshooting is needed to identify the symptoms. Determining the most likely cause is a process of elimination—eliminating potential causes of a problem. Finally, troubleshooting requires confirmation that the solution restores the product or process to its working state.
Corrective and preventive action consists of improvements to an organization's processes taken to eliminate causes of non-conformities or other undesirable situations. It is usually a set of actions, laws or regulations required by an organization to take in manufacturing, documentation, procedures, or systems to rectify and eliminate recurring non-conformance. Non-conformance is identified after systematic evaluation and analysis of the root cause of the non-conformance. Non-conformance may be a market complaint or customer complaint or failure of machinery or a quality management system, or misinterpretation of written instructions to carry out work. The corrective and preventive action is designed by a team that includes quality assurance personnel and personnel involved in the actual observation point of non-conformance. It must be systematically implemented and observed for its ability to eliminate further recurrence of such non-conformation. The Eight disciplines problem solving method, or 8D framework, can be used as an effective method of structuring a CAPA.
A technological fix, technical fix, technological shortcut or (techno-)solutionism refers to attempts to use engineering or technology to solve a problem.
Control is a function of management that helps to check errors and take corrective actions. This is done to minimize deviation from standards and ensure that the stated goals of the organization are achieved in a desired manner.
A system archetype is a pattern of behavior of a system. Systems expressed by circles of causality have therefore similar structure. Identifying a system archetype and finding the leverage enables efficient changes in a system. The basic system archetypes and possible solutions of the problems are mentioned in the section Examples of system archetypes. A fundamental property of nature is that no cause can affect the past. System archetypes do not imply that current causes affect past effects.
Dynamic decision-making (DDM) is interdependent decision-making that takes place in an environment that changes over time either due to the previous actions of the decision maker or due to events that are outside of the control of the decision maker. In this sense, dynamic decisions, unlike simple and conventional one-time decisions, are typically more complex and occur in real-time and involve observing the extent to which people are able to use their experience to control a particular complex system, including the types of experience that lead to better decisions over time.
Attractiveness Principle is one of System Dynamics archetypes. System archetypes describe common patterns of behavior in dynamic complex systems. Attractiveness principle is a variation of Limits to Growth archetype, with restrictions caused by multiple limits. The limiting factors here are each of different character and usually cannot be dealt with the same way and/or they cannot be all addressed.
Accidental Adversaries is one of the ten system archetypes used in system dynamics modelling, or systems thinking. This archetype describes the degenerative pattern that develops when two subjects cooperating for a common goal, accidentally take actions that undermine each other's success. It is similar to the escalation system archetype in terms of pattern behaviour that develops over time.
The environmental sustainability problem has proven difficult to solve. The modern environmental movement has attempted to solve the problem in a large variety of ways. But little progress has been made, as shown by severe ecological footprint overshoot and lack of sufficient progress on the climate change problem. Something within the human system is preventing change to a sustainable mode of behavior. That system trait is systemic change resistance. Change resistance is also known as organizational resistance, barriers to change, or policy resistance.
The growth and underinvestment archetype is one of the common system archetype patterns defined as part of the system dynamics discipline.
The escalation archetype is one of possible types of system behaviour that are known as system archetypes.