Capacity Planning – Meaning, Classification and its Goals
February 12, 2025
Any ERP implementation attracts expenditure on account of Operating System (OS) and Relational Database Management (RDBMS) for hosting the system. Networking issues also assumes importance particularly when the system is rolled out at different locations. Additionally, licensing options associated with ERP packages need to be carefully evaluated during final contract negotiation. Operating System and Database […]
Inventory management as well as Supply chain operations are often overlapping and hold the key to the success of sales operations. In all of the businesses be in automobile, manufacturing, pharma or retail industry, status of inventory reflects the health of the business. Inventory operations have two key elements namely Inventory System and Physical operations. […]
When an Organization chooses to outsource its inventory management services, the project success hinges on choosing the right partner because the stakes in a warehouse management projects are very high. Besides the impact on the other functions like manufacturing or markets, the third party service provider is the custodian of your inventory which meaning your […]
Six Sigma is a process oriented methodology designed to improve business performance by improving specific areas of strategic business processes. There are 2 different methodologies available for carrying out improvements in processes or operations. Improvements can be of two types: improving the existing process or designing a new process altogether. When we have an existing […]
With the explosive growth in the personal computing market, there has been a marked increase in the number of new inventions in the technologies used to power these computers. The market for laptops is similarly a high growth one, despite the ongoing recession, and contributes nearly 30% of the total sales in the market for […]
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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