This essay provides an overview of scheduling algorithm which can be used within maintenance management. It discusses the concept of scheduling and the use of LIFO (last in first out) method for inventory management. The essay concludes by highlighting the importance of maintenance management in optimizing work processes.
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Maintenance Management Table of Contents
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Introduction Maintenancemanagementreferstomaintainingresourcesoforganisationsothat productionprocessesarebeingcarriedouteffectivelyandnomoneyiswasteddueto inefficiencies(Guedes and et. al, 2019). This essay provides an overview of scheduling algorithm which can be used within maintenance. Main Body The method which isbeing utilised for distributingvaluablecomputing resources normally, bandwidth, processor time and memory is referred to as scheduling.FIFOis always not an adequate measure for illustrating priorities within scheduled maintenance as there can be a mismatch among cost as well as revenue as older and low costs are related with revenues. Here, it is necessary that priorities are defined clearly. LIFO (last in first out) denotes method which is being utilised to account for inventory that is liable for recording most recently items as sold as sold first(Hosseini and et. al, 2020). Basically, LIFO is utilised for cost flow assumption within calculating costs of goods that are sold. While maintenance of resources, this method is used when costs or acquisition of inventory is increasing that is denoted by cost of goods sold (COGS). An instance can be taken into consideration, like there is a bookstore who provides latest books as well as latest hardcover releases. The reason for providing hardcover release is that sales of these are good and on the other hand people are opting for digital books which mean that sales have declined. This implies that inventory cost is increasing. Illustration1:Example of LIFO
Through the usage of LIFO owner will start with $20 for recent book but this cannot be applied for all. The remaining books will not be regarded as inventory but as cost of goods sold. This illustrates that recent inventories are sold first(Panda and Jana, 2019). As customers are expecting to have new novels or books they must be circulated accordingly. But there is major drawback that products which are in inventory will not be sold that will lead them to have reduced profit but this will lead organisation to have declined income taxes. In context of maintenance, LIFO is attractive as it furnishes tax breaks for firms who are looking for manufacturing or purchasing products. Technically, business can sell older products but make use of recent prices for acquisition or manufacturing them within cost of goods sold. It is being utilised for accounting inventory or maintenance of inventory. In this, cost of recent products that are being produced or purchased will be expensed first. But it is used in United States only and is being governed by GAAP (generally accepted accounting principles). At the time of inflation, LIFO furnishes high cost for goods that are being sold as well as low balance for remaining inventory(Zhu and et. al, 2019). Furthermore, high cost of products that are being sold illustrates net income that results within slighter tax liabilities. Conclusion Form the above it can be concluded that, maintenance management refers to process associated with maintaining assets as well as resources of organisation. Scheduling illustrates process related with arranging, controlling as well as optimisation of work within maintenance or manufacturing process.
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References Books & References Guedes, R. and et. al, 2019. Pareto set as a model for dispatching resources in emergency Centres.Peer-to-Peer Networking and Applications,12(4), pp.865-880. Hosseini, S. and et. al, 2020. Scheduling multi-component maintenance with a greedy heuristic local search algorithm.Soft Computing,24(1), pp.351-366. Panda,S.K.andJana,P.K.,2019.Anenergy-efficienttaskschedulingalgorithmfor heterogeneous cloud computing systems.Cluster Computing,22(2), pp.509-527. Zhu, H. and et. al, 2019. An Adaptive Real-Time Scheduling Method for Flexible Job Shop Scheduling Problem With Combined Processing Constraint.IEEE Access,7, pp.125113- 125121.