A production planning system based on linear programming

<p>CV. Baja Utama Landasan Ulin is a business entity that manufactures various products using the basic ingredients of iron. In the management of raw materials for the production of common regulatory process raw materials into sections for further processing. This setting is often done manually without doing careful planning, so that at the end of each production process there are many remaining pieces of the raw materials that should be used in production. In addition to the determination of the production is necessary to reference how the product should be made for each type of existing products. This is often an important factor that pushed for the optimization of production planning in determining the number of products for each type of product and raw material consumption.Linear Programming is one of the methods used in production planning to regulate the use of raw materials is limited. Simplex method is part of the linear programming method that can be used in the production planning system implementation. Simplex method identifies an initial basic solution and then move systematically to other basic solution that has the potential to improve the value of the objective function.The calculation result of production planning using the simplex method can be used as a reference in the decision making production planning. By building an application using the simplex method can assist in the calculation of production peencanaan more efficiently and effectively. Accuracy testing system constructed show significant results with great value reached 94% level of accuracy.<br />Keywords: simplex, production planning, the maximum gain, linear programming</p>

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Using Fuzzy Time Series (FTS) and Linear Programming for Production Planning and Planting Pattern Scheduling Red Onion

E3S Web of Conferences ◽

10.1051/e3sconf/201912523007 ◽

2019 ◽

Vol 125 ◽

pp. 23007 ◽

Cited By ~ 1

Author(s):

Aries Dwi Indriyanti ◽

Dedy Rahman Prehanto ◽

Ginanjar Setyo Permadi ◽

Chamdan Mashuri ◽

Tanhella Zein Vitadiar

Keyword(s):

Time Series ◽

Linear Programming ◽

Production Planning ◽

Fuzzy Time Series ◽

Planning System ◽

Cropping Pattern ◽

Market Demand ◽

Time Data ◽

Cropping Patterns ◽

Data Production

This study discusses the production planning system and scheduling shallots planting patterns using fuzzy time series and linear programming methods. In this study fuzzy time series to predict the number of requests and the results of predictions from fuzzy time series methods become one of the variables in the calculation of linear programming. Using supporting variables, demand data, production data, employment data, land area data, production profit data, data on the number of seedlings and planting time data are indicators used in processing the system. The system provides recommendations for cropping patterns and the number of seeds that must be planted in one period. The age of harvesting onions is ± 3-4 months from the planting process, the number of planting seeds is adjusted to the number of requests that have been predicted by using fuzzy time series and cropping pattern calculation process is carried out using linear programming. The results of this system are recommendations for farmers to plant seedlings, planting schedules, and harvest schedules to meet market demand.

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A Linear Programming Model for Product Mix Profit Maximization in A Small Medium Enterprise Company

International Journal of Industrial Management ◽

10.15282/ijim6120205330 ◽

2020 ◽

Vol 6 (1) ◽

Author(s):

S Mohd Baki ◽

Jack Kie Cheng

Keyword(s):

Linear Programming ◽

Production Planning ◽

Business Performance ◽

Programming Model ◽

Profit Maximization ◽

Optimal Level ◽

Linear Programming Model ◽

Product Mix ◽

Small Medium Enterprises ◽

Medium Enterprises

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.

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