Operational Efficiency and Operational Optimization...

Operational Efficiency Operational Optimization Sa – Situation Anlysis Pa – Problem Analysis Da – Decission Analysis Pa – Probabilty Analysis 1) Suppose that a peak harvest-season day involves 18,000 barrels of berries, 70% of them wet harvested, arriving uniformly over a twelve-hour period from 7 a.m. to 7 p.m., and process initiates as soon as the first truck arrives. a) At what time during the day, would the trucks start queuing up to upload? Answer: - Trucks carrying wet berries will have to wait to unload during the day because the incoming arrival rate is 1050 is greater than processing rate 600. The Trucks arriving with dry berries will not have to wait as processing is greater than†¦show more content†¦The predicted increase in the wet berries growth to 70% will increase the overtime issues as the dryer is the bottle neck in the process and wet berries require going through this step. There is also a secondary problem regarding grading of process berries. Half of the berries graded top quality is actually not top quality and do not deserve extra premiums paid on the top quality berries. This is due to the inefficient quality assessment method. The waiting of the Trucks can be reduced by adding an extra storage bin (converting the bins to be used for both wet and dry berries) to the system. The other reason for the increased wait time is that the processing at the plant starts at 11:00 am whereas the trucks start delivering at 7:00am due to which the trucks have to wait for a longer time. So the working shift should be change to 7:00 am instead of 11:00 am. This will effectively decrease the wait time of the berries. This will also eliminate the need of adding the extra storage to the system as the process will start as soon as the deliveries start eliminating the berry stock build up. Scheduling and holding capacities will not work if we cannot dry the berries. By adding two additional driers, NCC will be able to dry 400 barrels per hour of wet berries decreasing the bottleneck. The issue of over incentives paid for theShow MoreRelatedDifference Between Simulation and Optimization1541 Words   |  7 Pagesis whether optimization, simulation, or a hybrid model (combination of optimization and simulation) is a better option to pursue. In this paper, we fundamentally distinguish the two modeling approaches – Supply Chain Optimization vs. Supply Chain Simulation, and the scenarios where the each option should be employed. Overview Optimization focuses on finding the optimal solution from millions of possible alternatives while meeting the given constraints of the supply chain. Optimization utilizes mixedRead MoreThe Summary of What Is Strategy from Michael Porter1471 Words   |  6 Pages What Is Strategy? (To make a summary of the article while answering the question, the answer directly related to the questions are highlighted ) 1. Achievements Neutrogena has established itself in the soap market through variety-based positioning. Michael. Porter defines strategic position as attempts to achieve sustainable competitive advantage by preserving what is distinctive about a company. It means performing different activities from rivalsRead MoreState Of The Art : Cloud Computing2048 Words   |  9 Pagesmachines to be hosted on a single server. This improves server utilization for providers. Moreover, multitenancy refers to the capability of provisioning data centre space to multiple consumers [15]. This allows for dynamic resource pricing and efficiency at data center level. Due to the heterogeneity of Cloud resources, environmental necessities, locality restrictions and the dynamic nature of resource demand, there is the need for an efficient resource allocation technique. Several algorithms thatRead MoreAccentures Strategy And Analytical Capabilities1593 Words   |  7 Pagessegments. The Accenture solution offers benefits the client could not easily achieve own its own. BaaS enables the client to target business customers in all enterprise segments with greater effectiveness and efficiency. Compared to traditional approaches, the projected gains in efficiency are expected to range from 200 percent to 400 percent. The BaaS model also enables the client to apply predictive techniques to smaller and midsized business segments, providing additional opportunities for theRead MoreBusiness Intelligence Vs. Business Analytics Essay1660 Words   |  7 PagesThe following diagram illustrates the processes that underpin a traditional business intelligence syst em: Source: Michalewicz et al. (2006), Adaptive Business Intelligence, Springer (page 4) Business intelligence is extraction of contextualised operational information from raw data sources combined with â€Å"expert† knowledge to perform informed decision making. Business Intelligence is collective information – about customers, their competitors, business partners, competitive environment, and own internalRead MoreCase study Sinosteel1530 Words   |  7 Pagesdoor of difficulties, as it can globally monitor and highly standardize the information to an enterprise scope. Not only can it grant an efficient management of all core business functions, but it also achieves information sharing and thus improves efficiency. In a scattered company like this one, needing a broad general system to enable communication between subsidiaries, an ERP system proves helpful because it consists in building a tool on a whole company scale. 2. Why did Sinosteel pursue the developmentRead MoreBalance Scorecard Assignment Essay1493 Words   |  6 PagesBalance Score Card Assignment A Balanced Scorecard can be defined as a â€Å"performance management tool which began as a concept for measuring whether the smaller-scale operational activities of a company are aligned with its larger-scale objectives in terms of vision and strategy† (Wikipedia 2009,  ¶ 1). Scents Things will need to develop a balanced scorecard that will assist in meeting and help define the company’s values, mission, vision, and SWOT analysis. The balance scorecard is made up of fourRead MoreBig Data On Oil And Gas Sector Essay1136 Words   |  5 PagesThe industry has long dealt with huge amounts of data to make critical decisions over the period of time. For many years energy companies had invested in seismic software, data visualization and other digital tools technologies for planning and optimization purposes. But now a day, most of the enterprises have started craving a certain desire for better execution of EP activities. Since the crude oil prices have gone down signi ficantly over the past few years, which have effectively brought downRead MoreProcter and Gamble Tries to Optimize Inventory2635 Words   |  11 PagesChapter 8: Achieving Operational Excellence and Customer Intimacy: Enterprise Applications The shampoo and lipstick aisles at Target and actually sites for an unending struggle among consumer products companies for retail shelf space. No company knows this better than Procter Gamble (PG), one of the world s largest consumer goods companies, with annual revenue surpassing $76 billion and 138,000 employees in 80 countries. The company sells more than 300 brands worldwide, including CoverRead MoreRelational Databases : Sap Hana1463 Words   |  6 PagesSo what has made HANA one of the most successful databases in the industry? To properly answer that question, one needs to examine all the different components that constitute the entire make up of HANA. †¢ Real-Time Analytics: HANA’s ability to provide and support real-time analytics is one of the main components that has proven to be invaluable to customers. This is inclusive of all aspects of operational reporting in an organization. From financial reporting, to sales reporting, master data