Description Mini Case Study: Analyzing the Integrated Logistics Decisions Background: ABC Company is a medium$-$sized manufacturing firm operating in the consumer electronics industry. The company produces a range of electronic gadgets and distributes them through various retail channels. As part of its operations, ABC Company faces challenges in managing its logistics effectively, particularly in terms of freight, inventory, and warehouse management. Objective: The objective of this case study is to analyze the combined effect of freight, inventory, and warehouse management on the overall operational efficiency and costeffectiveness of ABC Company's logistics operations. Students are tasked with making integrated logistics decisions based on a synthetic dataset provided, which includes data on freight costs, inventory levels, and warehousing expenses. Dataset: $\backslash$table$[[$Month Freight Costs $(\backslash$$$)$ Inventory Costs $(\backslash$$$)$ Warehousing Costs $(\backslash$$$),,,],[$Jan$,10,000,20,000,15,000],[$Feb$,12,000,22,000,16,000],[$Mar$,11,500,21,500,15,500],[$Apr$,11,200,20,800,15,200],[$May$,12,500,22,500,16,500],[$Jun$,13,000,24,000,17,000]]$ Submit Assignment Calendar To Do Notifications Inbox $20\%$ C Assignment Details B A$644-01$:Operations and Supply Chain Management Description Mini Case Study: Analyzing the Integrated Logistics Decisions Background: ABC Company is a medium$-$sized manufacturing firm operating in the consumer electronics industry. The company produces a range of electronic gadgets and distributes them through various retail channels. As part of its operations, ABC Company faces challenges in managing its logistics effectively, particularly in terms of freight, inventory, and warehouse management. Objective: The objective of this case study is to analyze the combined effect of freight, inventory, and warehouse management on the overall operational efficiency and costeffectiveness of ABC Company's logistics operations. Students are tasked with making integrated logistics decisions based on a synthetic dataset provided, which includes data on freight costs, inventory levels, and warehousing expenses. Dataset: $\backslash$table$[[$Month Freight Costs $(\backslash$$$)$ Inventory Costs $(\backslash$$$)$ Warehousing Costs $(\backslash$$$),,,],[$Jan$,10,000,20,000,15,000],[$Feb$,12,000,22,000,16,000],[$Mar$,11,500,21,500,15,500],[$Apr$,11,200,20,800,15,200],[$May$,12,500,22,500,16,500],[$Jun$,13,000,24,000,17,000]]$