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ABC Furniture is a St . Louis - based furniture design and manufacturing studio. Founded in 2 0 1 4 , the company has experienced

ABC Furniture is a St. Louis-based furniture design and manufacturing studio. Founded in 2014, the company has experienced rapid expansion due to its innovative designs and sustainable production practices. The company carries three main furniture categories: Tables, Chairs, and Desks. The desk division has seen increased growth due to the recent shift to remote work prompted by the COVID-19 pandemic. Over the past two years, ABC manufacturing has struggled to keep up with the increase in sales. The higher demand and the disruptions to their raw materials supply translate into long fulfillment times for their customers. As the VP of Supply Chain Management, you have secured procurement contracts with new suppliers expected to stabilize the need for raw materials inputs. In discussions with the CEO and strategic teams, the company has decided to expand manufacturing operations to meet the demand. The VP of Commercial Management has been analyzing the sales data and has identified the Northeast as the area with more significant growth potential. Based on this direction, you are tasked with a plan to create the Supply Chain strategy for the new Northeast Desk Manufacturing facility and present it to the company Board for approval.
Problem 1: Forecast Demand:
Based on historical sales data, the first task for the SCM team is to generate accurate forecasts for the demand for desks in the targeted region.
P1-A: Recommend the most appropriate adaptive forecasting method and best decision parameter values for the selected method. Briefly discuss why you made this selection.
P1-B: Use the recommended method to forecast the demand for the year 2024. Discuss the accuracy of the forecast generated.
Problem 2: Facility Location:
The SCM team has identified candidate manufacturing facility locations in the target region. With these inputs and the calibrated demand forecast for 2024, determine the optimal location for the new manufacturing plant. The data regarding each candidate facility is provided below.
P2-A: Formulate a Facility Location Model to determine the optimal location of the new manufacturing plant. Provide the optimal solution and briefly explain what your optimal solution recommends.Page
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Year Month State Sales Candidate Sites
20201 MA 908 Demand State
Fixed Cost
$ Capacity
20202 MA 1016 Production and Transportation Cost per Unit
20203 MA 914 Supply City MA NJ NY PA
20204 MA 848 Rhinebeck, NY 1.751.591.042.31360020000
20205 MA 818 Monticello, NY 2.31.530.971.69324020000
20206 MA 748 Pittsfield, MA 1.252.151.53.7288020000
20207 MA 920 Hazleton, PA 3.161.41.40.85234020000
20208 MA 858 Bethlehem, PA 2.90.981.20.88216020000
20209 MA 822
202010 MA 1002
202011 MA 748
202012 MA 789
20211 MA 1014
20212 MA 958
20213 MA 947
20214 MA 899
20215 MA 759
20216 MA 868
20217 MA 924
20218 MA 928
20219 MA 940
202110 MA 906
202111 MA 865
202112 MA 893
20221 MA 794
20222 MA 1020
20223 MA 961
20224 MA 832
20225 MA 891
20226 MA 1034
20227 MA 923
20228 MA 914
20229 MA 845
202210 MA 870
202211 MA 1075
202212 MA 875
20231 MA 1005
20232 MA 1010
20233 MA 933
20234 MA 1097
20235 MA 888
20236 MA 867
20237 MA 1100
20238 MA 994
20239 MA 1155
202310 MA 783
202311 MA 1178
202312 MA 1031
20201 NJ 847
20202 NJ 876
20203 NJ 1071
20204 NJ 906
20205 NJ 846
20206 NJ 829
20207 NJ 960
20208 NJ 856
20209 NJ 886
202010 NJ 909
202011 NJ 855
202012 NJ 760
20211 NJ 1015
20212 NJ 977
20213 NJ 929
20214 NJ 995
20215 NJ 849
20216 NJ 775
20217 NJ 1003
20218 NJ 791
20219 NJ 1051
202110 NJ 914
202111 NJ 996
202112 NJ 864
20221 NJ 1024
20222 NJ 919
20223 NJ 956
20224 NJ 804
20225 NJ 838
20226 NJ 1143
20227 NJ 790
20228 NJ 1046
20229 NJ 1112
202210 NJ 1007
202211 NJ 815
202212 NJ 1038
20231 NJ 1018
20232 NJ 901
20233 NJ 1161
20234 NJ 1086
20235 NJ 1135
20236 NJ 1027
20237 NJ 1046
20238 NJ 1131
20239 NJ 964
202310 NJ 766
202311 NJ 961
202312 NJ 1116
20201 NY 819
20202 NY 824
20203 NY 934
20204 NY 962
20205 NY 972
20206 NY 1056
20207 NY 977
20208 NY 981
20209 NY 1066
202010 NY 830
202011 NY 825
202012 NY 931
20211 NY 900
20212 NY 828
20213 NY 901
20214 NY <

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