ERPsim Overview EIN 6133 Enterprise Engineering Fall, 2015

Objectives 1. To learn how an ERP system can support the execution of business and operation strategies. 2. To learn how to make business decisions using an enterprise software. 3. To learn the concepts and integration of enterprise systems in a simulation environment. 4. To lean how to analyze big data and withdraw conclusion for improvement of business strategy.

Operations Scenario You (with your team) will operate a company in a simulated business environment to compete with other companies (i.e., other teams). You (with each team) will formulate operations strategies and make business decisions toward maximum operation profit for your company, using an enterprise information and operations system - ERPsim. 3

Corporate Roles Designation CEO (Team Leader) ◦Watch financial statement ◦Check price market report ◦Check summary sales report ◦Check sales and market data ◦Check inventory Report Marketing Manager ◦Maintain marketing expense planning ◦Check price market report ◦Check sales and market data Sales Manager ◦Maintain prices ◦Check summary sales report ◦Check sales and market data MM/PO Manager ◦Forecast – create planned independent requirements ◦Run MRP –create PR (Purchase requisition) ◦Convert PR into PO (Purchase order, and convert planned order into production orders in cases 3 & 4 for manufacturing) ◦Track Purchase Orders ◦Check inventory Report 4

Virtual Business Environment Simulation of a market Automation of administrative tasks Simulation of the passing of time

Integrated ERP Environment

Sales Automated Planning Automated Procurement Automated Simulated ERP Environment Watch this video clip for more information about ERPsim:

Three (+1) Case Studies

Case 1: Distribution Case  Covers the following processes and operations:  Planning and Purchasing  Sales and Marketing

Case 2: Logistics Case  The focus is set on data analysis  Overstock, out of stocks and wrong allocations of products can be costly to the team  Students must analyse data to understand the market and make better decisions  Covers the following processes and operations:  Planning and Purchasing  Transfers and logistics  Sales

Case 3: Manufacturing Case  Covers the following processes and operations:  Planning and Purchasing  Production  Sales and Marketing

Case 4: Manufacturing Case Extended  Covers the following processes and operations:  Planning and Purchasing  Production  Sales and Marketing  Master Data (BOM)  Advanced Options  Warehousing Costs  New products  Production capacity improvement  Reduce setup time  Fixed overhead  Automatic asset depreciation posting  Interest, Bank Loans, and Credit Rating Management

Case 4: Manufacturing Case Extended