#TITLE_ALTERNATIVE#

• Main Author: RACHMAN (NIM 29106308), ALFI
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/7144
• Institution: Institut Teknologi Bandung

As a large firm operating in the guitar manufacturing business, PT. XYZ is still unable to make a good and accurate production plan. Over the years, XYZ uses a manual or a trial & error system to make their production plan. Some of the causes of why XYZ is having difficulties making a good production plan are: 1. Lots of models to be produced, 2. Shipment schedule that must be met for each destination, 3. Limited production capacity and working hours.<p> <br /> <br /> <br /> XYZ's daily plan is defined as the average from the current demand divided by the number of available workdays. By using the average, XYZ has face problems in the production department, which are: 1. there is no prioritization or order on what model should be built first, 2. shipping schedule isn't included in the daily plan which makes it prone to backorders, 3. Communication problems between upper and lower management and between production process departments, 4. Needs very strict control to meet the current demand.<p> <br /> <br /> <br /> This final project is focus on the making of a new and effective production plan for XYZ by using the linear programming method. Model of the program is build using the solver add-ins from Microsoft Excel. Linear programming is one of the tools for Advanced Planning & Scheduling (APS). APS refers to a manufacturing management process by which raw materials and production capacity are optimally allocated to meet demand. APS has commonly been applied where one or more of the following conditions are present: 1. Make-To-Order manufacturing, 2. Limited plant capacity, 3. Products 'competing' for plant capacity: where many different products are produced in each facility, 4. Products that require a large number of components or manufacturing tasks, 5. Production necessitates frequent schedule changes which can not be predicted before the event. <p> <br /> <br /> <br /> The writer suggests using kanban in the production process. The kanban system that the writer suggests is the dual card kanban system which uses two cards. The first card will be use as a Work In Process replenishment signal between departments, and the second card will be use to determine the amount of production needed.<p> <br /> <br /> <br /> The finish linear programming model is expected to be able to create a solution to the current problems that are occurring in YMMI, some of them are: 1. Able to create a specific order or prioritization on what model should be built first, 2. Include the shipping schedule to reduce the possibility of a backorder occurring, 3. Optimized product mix, 4. Be a better communication platform between upper and lower management and between production process departments.