Crusty Dough Pizza Company Crusty Dough Pizza creates a friendly and pleasant atmosphere for customers in a
Question:
1. Write a one page Executive Summary based on the following case study.
2. Develop a forecasting tool using the raw data provided from actual sales for the past 15 years.
3. Pick one of the three types to base your forecast on. Short-Term used to support decisions that are made for short term period ranging from daily level to monthly level. Mid-Term – are forecast to support decisions that are made from monthly to yearly level Long-Term are forecast that support decision are made over multiple years.
4. Management would like to know if seasonality exist in the data.
5. Create a seasonality index. Develop a forecast using one of the methods 6. What is your forecast? What method did you use and why? Raw data: Unit: Pizza Crusty Dough Pizza Company Pizza sold by month
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2002 561 640 656 727 697 640 599 568 577 553 582 582
2003 600 566 653 673 742 716 660 617 583 587 565 598
2004 628 618 688 705 770 736 678 639 604 611 594 634
2005 622 709 722 782 756 702 653 615 621 602 635 635
2006 677 635 736 755 811 798 735 697 661 667 645 688
2007 713 667 762 784 837 817 767 722 681 687 660 698
2008 717 696 775 796 858 826 783 740 701 706 677 711
2009 734 690 785 805 871 845 801 764 725 723 690 734
2010 750 707 807 824 886 859 819 783 740 747 711 751
2011 804 756 860 878 942 913 869 834 790 800 763 800
2012 826 799 890 900 961 935 894 855 809 810 766 805
2013 821 773 883 898 957 924 881 837 784 791 760 802
2014 828 778 889 902 969 947 908 867 815 812 773 813
2015 834 782 892 903 966 937 896 858 817 827 797 843
Statistics for Management and Economics Abbreviated
ISBN: 978-1285869643
10th Edition
Authors: Gerald Keller