#### Type of Proposal

Oral Presentation

#### Start Date

23-3-2018 9:00 AM

#### End Date

23-3-2018 10:20 AM

#### Location

Alumni Auditorium B

#### Faculty

Faculty of Engineering

#### Abstract/Description of Original Work

Many companies face difficulties in finding the best use of scarce resources in order to create the optimal production schedule, minimize costs, and meet the customer demand. The goal of this project is to allow the users to find a production plan that satisfies the customer demand at the minimum cost using a decision support system (DSS). A DSS is used for calculating the optimal usage of resources including time, inventory, and machinery, in order to minimize production costs is presented. To solve this problem this DSS takes the given constraints and variables and creates a specific interface for the user to input their values. These input values are used by the system to determine an optimal solution to any multi-product production problem. The problem involves producing a desired number of products, over certain time periods, where the machinery produces only one type of product per period. The parameters in the problem define the system and sets the conditions of its operation. These parameters include: the unit production cost, the unit inventory holding cost, the setup cost, the demand for the product in the period, the production capacity for the product in the period. The decision variable is a quantity that the user controls. There are also several decision variables which are accounted for: the number of products that are produced in a period, the number of products in inventory at the end of the period, and the machine set up. The users will input the parameter and the decision variables themselves, and these numbers will solve for the end objective. The end objective is to enable the users to efficiently create a minimum cost production plan that satisfies the product demand. This user interface is extremely easy to use, and it will be able to help many companies find the peak efficiency in their production facility, and minimize their production costs in order to create a higher overall income.

Multi-Item Production Planning Problem

Alumni Auditorium B

Many companies face difficulties in finding the best use of scarce resources in order to create the optimal production schedule, minimize costs, and meet the customer demand. The goal of this project is to allow the users to find a production plan that satisfies the customer demand at the minimum cost using a decision support system (DSS). A DSS is used for calculating the optimal usage of resources including time, inventory, and machinery, in order to minimize production costs is presented. To solve this problem this DSS takes the given constraints and variables and creates a specific interface for the user to input their values. These input values are used by the system to determine an optimal solution to any multi-product production problem. The problem involves producing a desired number of products, over certain time periods, where the machinery produces only one type of product per period. The parameters in the problem define the system and sets the conditions of its operation. These parameters include: the unit production cost, the unit inventory holding cost, the setup cost, the demand for the product in the period, the production capacity for the product in the period. The decision variable is a quantity that the user controls. There are also several decision variables which are accounted for: the number of products that are produced in a period, the number of products in inventory at the end of the period, and the machine set up. The users will input the parameter and the decision variables themselves, and these numbers will solve for the end objective. The end objective is to enable the users to efficiently create a minimum cost production plan that satisfies the product demand. This user interface is extremely easy to use, and it will be able to help many companies find the peak efficiency in their production facility, and minimize their production costs in order to create a higher overall income.