Disclaimer/Case Study redbull Please note all the information and any related data presented in this project are NOT accurate, and are not supported by any reference either. They are only provided for you for this project. You should not assume that this is real data. Background In this project, we will be working on a supply network design problem for a company— let’s call the company ‘SND Australia Limited’ and use ‘SND’ for short. SND operates across Australia in the following major cities: Adelaide, Brisbane, Melbourne, Perth and Sydney. SND has an overseas supplier—let’s call it ‘OVS’—which has been steadily supplying SND’s demand over the years. OVS uses sea transport to supply SND and transports all the goods to the designated ports as speci?ed by SND. As all the major cities have ports, we assume that once freight reaches a port, there will be no additional cost required to get into the corresponding city. There will be additional costs, however, if SND decides to re-direct freight from one city to another city within Australia. When such a decision is made, the re-direction of freight will be managed via road transport and the corresponding road freight charges apply. A?ected by recent uncertainty and volatility in business environment, the top management of SND has allocated a budget for setting up a subsidiary in Australia—let’s call it ‘DMS’— to complement any quick surge in demand. The subsidiary DMS, when requested, will be able to produce a maximum of 500 units per month for SND. At other times, DMS seeks opportunities from other business and therefore does not incur cost to SND. In this project, please assume that the set up cost of DMS will be the same for any city in Australia. In this sense, this set up (?xed) cost does not need to be considered. SND adopts and operates on a monthly ordering cycle and therefore we will only focus on one month’s logistics activities to design the supply network. The objective is to design a supply network that minimises the total logistics cost. Table 1 lists the demand for each major city and the unit production cost if DMS chooses to operate at the particular city. Demand at Units Produce at Unit cost Adelaide 420 DMS Adelaide $450 Brisbane 870 DMS Brisbane $480 Melbourne 1,250 DMS Melbourne $505 Perth 930 DMS Perth $490 Sydney 1,310 DMS Sydney $515 DMS OVS $440 Table 1: Demand and unit production cost for SND. Transport Cost and Lead Time Sea transport will be used for the shipments from the overseas supplier OVS; while road transport will be used for transport within Australia. For sea transport, we will be able to use either 20’ or 40’ containers. In addition, less-than-container load (LCL) could also be used, i.e., sea transport on a unit basis and charged by the number of units shipped. Each 40’ container can hold 200 units; and each 20’ container can hold half of that amount, i.e., 100 units. Due to loading and safety constraints, containers must be fully loaded at all times. If the number of units is not enough to ?ll a full container, then the LCL option—where special safety measures are taken—must be used. $/40’ container $/20’ container $/LCL unit Lead times (Days) Adelaide 2,000 1,200 25 30 Brisbane 1,600 1,000 20 21 Melbourne 1,800 1,100 23 28 Perth 1,200 700 15 18 Sydney 1,650 1,050 22 25 Table 2: Sea transport cost and lead time from overseas supplier to cities SND needs to pay its supplier upfront, which means that SND needs to bear the inventory holding cost when the freight is being transported from OVS. Table 2 presents the unit transport prices for a 40’ container, a 20’ container, and a unit transported via LCL. The lead time of sea transport between OVS and each major city is also listed in the table. The accounting department mentions that an annual interest rate of 15% would be reasonable to calculate the inventory holding cost. Within Australia, road transport will be used. The unit transport cost between each pair of cities is shown in Table 3.Becausee?cientroadtransportonlytakes1–3daysbetween any pair of cities, the holding cost can be safely ignored Adelaide Brisbane Melbourne Perth Sydney Adelaide $0 $35 $10 $35 $25 Brisbane $35 $0 $25 $70 $15 Melbourne $10 $25 $0 $45 $15 Perth $35 $70 $45 $0 $55 Sydney $25 $15 $15 $55 $0 Table 3: Road transport cost per unit between cities Project Tasks The tasks for the project are straightforward, as a group, you need to determine: 1. What is the lowest cost for SND? (Remember to include all the related cost components in your model.) And where should SND set up its subsidiary DMS? 2. How is the international sea transport and the domestic road transport managed? 3. What can you conclude from you model 4. How sensitive is your solution to some of the parameters, such as unit cost at di?erent places, transport cost, lead time? 5. How sensitive is your solution to the ?uctuations of demand? 6. What will happen if SND does not set up the subsidiary DMS? More speci?cally, how would the transport operations change?
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Diagnostic Review Report Order Description Diagnostic Report The first part of the assignment consists of a diagnostic review of an organisational problem or issue and is due to be submitted by 3rd November 2015. The purpose of this first stage of the coursework is to: • provide a clear and detailed description of the organisational context • identify an area(s) of HRM, relevant to a specific organisational context, which it would interest you to study in greater depth, explaining why this is important for the organisation • identify the likely sources of information and literature relating to this topic, through a preliminary review of the relevant literature • highlight the key questions you would like to explore relating to that topic area, and in this process set the objectives for your final report It is not a requirement to gather primary data in the organisation. However, if you are basing your work in a real organisation, in the process of deciding your topic you may be discussing current issues with people in your organisation. If this is the case, you should be aware that if you are gathering information from any organisation your approach should be governed by the same concern for the ethics of the research process as is expected from any larger piece of research. The University Code of Research Ethics and Governance, available at http://www2.napier.ac.uk/depts/research/research_office.html covers the issues in some detail. However, the most important principle is to protect the interests of those people who are the subjects of the information, or who may be affected by such information. They have a right to privacy, not to be misrepresented, and not to be harmed as a result of being researched. If you have any questions about this, please discuss them with the module leader.
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social work Order Description The Ethelyn R. Strong School of Social Work provides social work education through its Baccalaureate Social Work (BSW) Program, Master of Social Work (MSW) Program, Doctoral (Ph.D.) Program, and continuing education programs. The School’s mission is to provide social work education programs which prepare students with competence to develop and deliver services that strengthen and/or empower individuals, families, groups, organizations, and communities. The School and its program emphasize the values of social justice, social responsibility and respect for human rights, dignity and diversity. The School is especially committed to address the strengths and challenges for an ethnically and culturally diverse client population in an evolving global community. The focus at the BSW level is on the preparation of all students for a generalist approach to the first level of professional practice. Beginning level practitioners with a generalist perspective and knowledge of social systems recognize that the target for change may not only be the individual, but may be one or more of the social systems that comprise the individual’s environment. - Dr. Rowena Wilson biography https://www.nsu.edu/social-work/index
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Statistics Assignment STA10003 FOUNDATIONS OF STATISTICS ASSIGNMENT This assignment is worth 20% of your final mark. Scenario You are a new graduate at a social science and psychological sciences research institute, and the lead researcher has given you a dataset to analyse. You will be graded based on the rubric attached to these instructions. The data set is based on Australian victims of crime statistics from the Australian Bureau of Statistics [ABS] collected over the period from 2010 to 2014. The original data file contained over 165,000 observations extracted from various ABS catalogues[eg Cat. 4510 /Cat. 4530.0], and a representative subset of the original data containing 8292 observations [STA10003_Assignment_SP3_2015.sav] is located in the Assignment Information tab on Blackboard. Data Preparation Before attempting the Assignment questions, you must use SPSS to draw a random sample of 2000 [from the 8292 cases]. You will conduct your analysis on your sample of 2000 observations. Instructions on how to generate your random sample is attached. Note, however, that some variables contain missing values, so each of your analyses may not contain the entire 2000 cases. Submission Instructions • Your submission must be a single Word file or PDF file and should contain the relevant output. • You must submit your file via the Turnitin link on Blackboard by the specified due date and time. Only the last document you submit will be retained by Turnitin. • This is an individual assignment. Do not share your work with other students. They will have a different random sample of data, so any copying will be detected by Turnitin. Video demonstrations Videos showing how to prepare your data and how to submit via Turnitin are provided for you in the Assignment Information tab [ > Assignment Information folder] on Blackboard. For your assignment, you are required to complete the following five [5] questions by producing the appropriate analyses and writing the relevant report for each question. Note: For each question you should include the relevant output with your report. Question 1 The variable ‘CRIME’ indicates the type of crime reported by Australian victims of crime during the period 2010 - 2014. Produce the relevant graph and table to summarise the ‘CRIME’ variable and write a paragraph explaining the key features of the data observed in the output in the style presented in the course materials. Question 2 The variable ‘INCIDENTS’ measures the number of times that the respondent – or a member of their household – has been a victim of crime at the time this incident was reported. Produce the relevant graph and tables to summarise the ‘INCIDENTS’ variable and write a paragraph explaining the key features of the data observed in the output in the style presented in the course materials. Question 3 The variable ‘WEAPONTYPE’ indicates the type of weapon used during the crime. Previous research has shown that 79% of all crimes are committed without any type of weapon being used. It has been suggested that the percentage of crimes committed without a weapon being used is now lower than this. Conduct a Binomial test using the ‘WEAPONTYPE’ variable to test this claim. Produce the relevant output and write a Binomial test report based on your output in the style presented in the course materials. Question 4 The variable ‘AGE’ indicates the age of the respondent at the time the crime was committed. Previous research has indicated that the average age of victims of crime is 24 years. It is expected that the average age of victims of crime is currently higher than this. Conduct a One-sample t-test using the ‘AGE’ variable to test this claim. Produce the relevant output and write a One-sample t-test report based on your output in the style presented in the course materials. Question 5 Researchers predict that the average number of incidents of crime is higher for females than for males. Conduct an Independent samples t-test using the ‘INCIDENTS’ and ‘SEX’ variables to test this claim. Produce the relevant output and write an Independent samples t-test report based on your output in the style presented in the course materials. How to generate your random sample of 2000 observations: 1. Open the STA10003_Assignment_SP3_2015.sav data file. From the Transform drop-down menu, select Random Number Generators: 2. From the Random Number Generators dialogue box, click the Set Active Generator and Set Starting Point as shown below. Click OK: 3. From the Data drop-down menu, select Select Cases: 4. From the Select Cases dialogue box, choose Random Sample of Cases and then click the Sample button [the Sample button is in grey-scale until you select the Random sample of cases choice]: 5. From the Select Cases: Random Sample dialogue box, click Exactly and type 2000 cases from the first 8292. [again the information is in grey-scale until you select ‘Exactly’. We want to generate a random sample of 2000 from the entire data set, so enter 2000 cases from the first 8292 cases]: 6. After clicking Continue [this returns you to the Select Cases Dialogue Box] you will see next to the Sample button confirmation that 2000 cases have been selected: 7. We can remove the unselected cases by clicking the Delete unselected cases button under the Output heading: 8. After clicking OK, your data set will now only show the 2000 cases selected. You should now save the data file with a new name. The data file is ready to use for your Assignment! Marking Details Prior to submitting your Assignment via Turnitin, use the following checklist as a guide to ensure that you have provided all of the relevant information. Q1 – Should include (as appropriate): A graph and Frequency output appropriate for a categorical variable. A paragraph that includes mention of largest group, smallest group, spread of percentages/proportions [as appropriate], and any other relevant patterns based on the Model Reports from the learning materials. Q2 – Should include (as appropriate): A graph and Explore output appropriate for a metric variable. A paragraph that includes a description of the centre, spread, outliers if present, and shape of distribution based on the Model Reports from the learning materials. Q3 to Q5 – Should each include (as appropriate): Appropriate output and a report that conforms to the style presented in the learning materials Checklist: • Correct variable used to produce output • Correct procedure performed • Graphs appropriately edited and labelled (eg edited variable names; “Figure 1. The distribution of …” • Correct test values used • All figures quoted in report correct according to your own output • Including 95% confidence interval interpretations where appropriate • Significance interpreted correctly (ie check that you are not saying the finding is significant when it is not or vice versa) • Correctly referring to the sample or population where appropriate • Proof reading of reports for errors STA10003 – Assignment Marking Rubric [out of 20] Clear Fail (0) Fail (1) Pass (2) Credit / Distinction (3) High Distinction (4) Summary of Categorical Variable Inappropriate graphs or tables used Appropriate graphs and tables for categorical data No summary Appropriate graphs and tables for categorical data Reasonable attempt to summarise the information shown in the output Appropriate graphs and tables for categorical data Graphs and/or tables suitably edited for presentation where appropriate (eg variable names, figure title) Written summary covers all relevant features of output Appropriate graphs and tables for categorical data Graphs and/or tables suitably edited for presentation where appropriate (eg variable names, figure title) Written summary covers all relevant features of output and is clearly and concisely written Summary of Metric Variable Inappropriate graphs or tables used Appropriate graphs and tables for metric data. No summary Appropriate graphs and tables for metric data. Reasonable attempt to summarise the information shown in the output Appropriate graphs and tables for metric data. Graphs and/or tables suitably edited for presentation where appropriate (eg variable names, figure title) Written summary covers all relevant features of output. Appropriate graphs and tables for metric data. Graphs and/or tables suitably edited for presentation where appropriate (eg variable names, figure title) Written summary covers all relevant features of output and is clearly and concisely written Binomial Test Incorrect output and/or no report Correct output Major errors in report Correct output Report presented following format used in course materials and textbook No major errors in report. More than 1 or 2 minor errors Correct output Report presented following format used in course materials and textbook Only 1-2 minor errors in report Correct output. Report presented following format used in course materials and textbook. No errors / minor error only in report One Sample t-test Incorrect output and/or no report Correct output Major errors in report Correct output Report presented following format used in course materials and textbook No major errors in report. More than 1 or 2 minor errors Correct output Report presented following format used in course materials and textbook Only 1-2 minor errors in report Correct output Report presented following format used in course materials and textbook. No errors / minor error only in report Independent Samples t-test Incorrect output and/or no report Correct output Major errors in report Correct output Report presented following format used in course materials and textbook No major errors in report. More than 1 or 2 minor errors Correct output Report presented following format used in course materials and textbook Only 1-2 minor errors in report Correct output Report presented following format used in course materials and textbook. No errors / minor error only in report
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