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Concepts of operations management
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Concepts of operations management
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Operational management Linear programming Linear programming is a tool that helps companies define a way to achieve an effective outcome in a given mathematical method. The linear program has been used for many different fields of study, it has been used most often in businesses and economics. The linear program is most popular in industries such as manufactures , telecommunications , transportation and energy. The linear programming has proved its usefulness in modelling various types of problems in routing, scheduling, planning, design and assignment. The linear programming techniques will help the Mini factory improve their production by allowing the linear program to identify the problems and then through the application of scientific approach solve it. The linear program can help the mini factory re-evaluate their basic plan into a more advanced and effective plan. If for instance the conditions of this basic plan changes , the linear program can help the mini factory after the rest of the plan in order to still receive best results. Linear programming is an supple and adaptive technique which can be analyses in a diversity of multi-dimensional problems effectively. This in turn will improve the mini factory’s production effectively. When it comes to bottlenecks and imbalances , the linear programming can help the Mini factory the ability to focus on the ‘’grey areas’’ in their production process. The linear programming also helps the mini factory discover the indolent machines who are unable to fee the full demand at the top performance level. This prevention can help the mini factory save money and avoid faults. Linear programming helps the Mini factory in optimum operation of numerous standing factors in production, w... ... middle of paper ... ...ent of an operational goal. The mini factory have set many operational outcomes on a yearly basis, in order to help them determine how well they are running their operations. These yearly operational outcomes are very important and are yearly met by the mini factory effectively. Due to the fact that the mini factory annually meets their operational outcome has made the mini factory a successful business, who is making high revenue on a yearly basis. Operational outcomes/Mini Factory • Improved production in order to increase output, decreasing costs and improve quality. • Improved quality in order to improve sales, strengthening their brand and decreasing returns • Decreased returns and the cost associated with repairs • Improved preparations, new equipment and employee training are one of the operational objectives that increase productivity and reduces costs
In today’s operational management arena, there are certain expectations from a managerial aspect that must be met in order to be successful. A comprehensive look at the Space Age Furniture Company will show exactly what the Materials Requirement Planning (MRP) calculations are for this company at present time and then take the information given in order to properly suggest ways to improve the sub-assemblies. In addition, there will be an analysis on the trade-offs between the overtime and inventory costs. A calculation will be made on the new MRP that will improve the base MRP. This paper will also compare and contrast the types of production processing to include the job shop, batch, repetitive, or continuous, and determine which the primary mode of operation should be and exactly why. A detailed description on how management can keep track of the job status and location during production will also be addressed. Finally, there will be a recommendation on they type of changes that need to occur that will be beneficial to the company and at the same time add value to the customer. This paper will conclude with summary of the major points.
In order for a company to push its improvement and create a balanced plant, it is necessary to increase the throughput, while reducing inventory an operating expense. But, what is most important is to identify the bottlenecks to be able to focus on them. After focusing and solving the constraints, everything else is going to be less powerful but important at the same time.
Operations are all the processes in transforming inputs into desired outputs. These processes must be efficiently and effectively coordinated by managers and eventually they must accomplish specific organizational goals. All operations, despite how well managed they are, are capable of improvement. In order for the operations to be improved however, weaknesses should be identified first. Therefore operations need some kind of performance measurement as a prerequisite for improvement.
“The Goal” is a book talking about challenges and problems that can face any plant manager. The story style used was very useful. I enjoyed the reading and gain more knowledge about the manufacturing operation. Many concepts and definitions were introduced such as the goal of any company and the its three measurements which are throughput, inventory and exponential expenses. Also, bottleneck and non-bottleneck resources.
In order to minimize the total shipping costs in the Darby distribution system, linear programming can be used.
consumption reductions. Additional manufacturing cost reductions will be essential to maintain, or better grow the
The business I choose to start is a piggy bank designing company. My company makes over 100 different styles and textures of piggy banks. To produce our most popular, style the matte black stainless steel piggy bank, it cost $5 to acquire all the material it will take to make it. The market value set for a single piggy bank is set at $11. My total fixed cost including rent and utilities for my business is $4,000 per month. My cost function is C(x)= 4,000+11x. In order to get the linear cost function, I take the equation C =mx+b. There is an option to buy a piggy bank deluxe box which includes 100 piggy banks for $650. This would place the marginal cost at $5, C is equal to the total cost and x is the number of items. The slope m is the marginal cost and b is the fixed cost, ending with the equation C(x)= 5x+150.
The classical job-shop scheduling problem (JSP) is a combinatorial optimization problem, which is among the most complicated problems in the scheduling area. The JSP has been proven to be NP-hard (Zhang et al., 2008). Flexible job-shop scheduling problem (FJSP) is a generalization of the classical JSP. It takes shape when alternative production routing is allowed in the classical job-shop (Al-Hinai, 2011). FJSP is NP-hard due to; (a) assignment decisions of operations to a subset of machines and (b) Sequencing decisions of operations on each machine (Tay and Wibowo, 2004).
The second way is to achieve low direct and indirect operating costs is gained by offering high volumes of standard products and offering basic no-frills products. Production costs are kept low by using less parts and using standard components. Limiting the number of models produced to ensure larger producti...
Schonberger, R.J. and E.M. Knod Jr. Operations Management: Continuous Improvement. Richard D. Irwin, 1994, p. 44. 16. Selto, F.H. and D.W. Jasinski. "
In every organization, different operational functions exist to ensure the smooth learning of the organization. In order for an individual to have the knowhow on how to operate the functions delegated to them they must have implicit knowledge on the functionalities themselves. Understanding markets, customers and the company goals has always proven to be a core starting point for individuals who ply their trade in the organization. The essence of the skills is evident in globalization, cooperate social responsibility and risk management issues. In operations management, the basic principles of operations should be followed to ensure that the profitability of the organization ensures the operation of the organization is
The development of linear programming has been ranked among the most important scientific advances of the mid 20th century. Its impact since the 1950’s has been extraordinary. Today it is a standard tool used by some companies (around 56%) of even moderate size. Linear programming uses a mathematical model to describe the problem of concern. Linear programming involves the planning of activities to obtain an optimal result, i.e., a result that reaches the specified goal best (according to the mathematical model) among all feasible alternatives.
Material handling system is an important equipment and in the design of an effective manufacturing design. One of the main tasks in material handling system design is the selection and setup involving apparatus, demanding comprehensive technical understanding along with methodical research. Material handling equipment selection is a very complex and tedious task. The main factors contributing to the complexity of the equipment selection problem is the constraints imposed by the facility and materials, a variety of disagreeing design and style requirements, anxiety inside functional environment, and some of equipment varieties in addition to designs accessible. In recent years, the equipment selection
Linear programming uses a mathematical model to describe the problem of concern. Linear programming is used in many practical applications, such as transportation, production planning, etc. It is also the building block for combinatorial optimization. One aspect of linear programming which is often forgotten is the fact that it is also a useful proof technique. A linear programming problem may be defined as the problem of maximizing or minimizing a linear function subject to linear constraints. The constraints may be equalities or inequalities. All linear programming problems have four main elements in common: decision variables, objective function, constraints and variable
Scheduling of production plays an important role in the scheduling and planning of modern manufacturing systems [1]. Production scheduling includes allocating the resource over a timeframe to carry out an assortment of tasks, which is one of the most critical issues in the managing and planning of processes of manufacturing. In a production system, various kinds of scheduling problems are studied and Job Shop Scheduling Problem (JSSP) is one of the most difficult problems in this area. [2].