Capacity Planning – Meaning, Classification and its Goals
April 3, 2025
The production system design planning considers input requirements, conversion process and output. After considering the forecast and long-term planning organization should undertake capacity planning. Capacity is defined as the ability to achieve, store or produce. For an organization, capacity would be the ability of a given system to produce output within the specific time period.…
Introduction An organization can finalize its business plans on the recommendation of demand forecast. Once business plans are ready, an organization can do backward working from the final sales unit to raw materials required. Thus annual and quarterly plans are broken down into labor, raw material, working capital, etc. requirements over a medium-range period (6…
As children, we have always had to prove to our teachers or our parents that we have been working. The homework book was proof that we have spent our time productively and would often calm down angry parents and teachers. It seems like the same principles also apply in corporate life! Harvard Business Review has…
Decision making is crucial for survival of business. Businesses have to make decision considering the limited amount of information. Decision making problems are divided into two types deterministic and probabilistic.
Deterministic model of problem solving depends on the relationship between uncontrollable factors and continuing process of optimizing system performance. A model is developed in under assumption related to existing business condition. If the variables under assumption do not truly reflect the current business conditions, the model developed also will not reflect the reality.
Mathematical optimization utilizes mathematical equation to determine the business decision. The business decision derive is in a numerical form.
A business model for decision making is constructed by analyst based on inputs of a decision maker. A business model is developed over a period of time using a progressive approach method.
Optimization model is developed in three steps, 1st step is describing the problem, 2nd step is elaborating the solution and 3rd step is controlling the problem.
The optimized problem of the 1st step can be classified into linear and non-linear depending upon on nature of variables. Optimization problem has three following aspects:
The solution of optimized problem satisfying all parameters and constraints is referred as feasible solution. The objective of an optimization process is to value of variables, which minimize or maximize objective giving out an optimal solution.
Linear programming is a mathematical procedure of determining linear allocation of business variables. For constructing linear program following factors are essential:
In formulating a linear program certain variables are integer in nature, such as function with integer variable is known as integer programming.
In a certain decision-making process, probability plays an important role. On the decision model based upon probability is decision trees.
Business environment is always unpredictable and can throw up unusual situation more than often. Thus, organizations find themselves in the middle of dynamic environment. Here model and methods like sensitivity analysis, stability analysis, what-if analysis, scenario modeling, etc. is utilized.
Therefore, model under used uncertainties are as follows:
Theory of constraints is a management concept which helps organization deal with situation, which hampers its growth and march towards higher level of performance. Theory of constraint encourages an organization to deal one constraint at a time and consist of following steps:
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