Production Planning in the Plastics Industry

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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Improvements to production planning in oil sands mining through analysis and simulation of truck cycle times

CIM Journal ◽

10.15834/cimj.2019.1 ◽

2019 ◽

Vol 10 (1) ◽

Author(s):

E. Goris Cervantes ◽

S. P. Upadhyay ◽

H. Askari-Nasab

Keyword(s):

Production Planning ◽

Oil Sands ◽

Cycle Times ◽

Oil Sands Mining

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Formulation of Colors Using a Genetic Algorithm

Image Processing & Communications ◽

10.2478/v10248-012-0052-9 ◽

2012 ◽

Vol 17 (4) ◽

pp. 241-244

Author(s):

Cezary Draus ◽

Grzegorz Nowak ◽

Maciej Nowak ◽

Marcin Tokarski

Keyword(s):

Genetic Algorithm ◽

Genetic Algorithms ◽

Production Process ◽

Computer Technology ◽

Manual Method ◽

Apply Genetic ◽

Computer Aided ◽

Multiple Samples ◽

Plastics Industry

Abstract The possibility to obtain a desired color of the product and to ensure its repeatability in the production process is highly desired in many industries such as printing, automobile, dyeing, textile, cosmetics or plastics industry. So far, most companies have traditionally used the "manual" method, relying on intuition and experience of a colorist. However, the manual preparation of multiple samples and their correction can be very time consuming and expensive. The computer technology has allowed the development of software to support the process of matching colors. Nowadays, formulation of colors is done with appropriate equipment (colorimeters, spectrophotometers, computers) and dedicated software. Computer-aided formulation is much faster and cheaper than manual formulation, because fewer corrective iterations have to be carried out, to achieve the desired result. Moreover, the colors are analyzed with regard to the metamerism, and the best recipe can be chosen, according to the specific criteria (price, quantity, availability). Optimaization problem of color formulation can be solved in many diferent ways. Authors decided to apply genetic algorithms in this domain.

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A Study on Production Planning of Multi-Products Mixed Production Lines: Focused on Automobile Camera Production Lines

Journal of the Korean Society of Supply Chain Management ◽

10.25052/kscm.2020.05.20.1.90 ◽

2020 ◽

Vol 20 (1) ◽

pp. 90-109

Author(s):

Yoonseok Jang ◽

Dongmin Son ◽

Bongju Jeong

Keyword(s):

Production Planning ◽

Production Lines

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CRUCIBLE CSM 21

Alloy Digest ◽

10.31399/asm.ad.ss0620 ◽

1995 ◽

Vol 44 (11) ◽

Keyword(s):

Fracture Toughness ◽

Corrosion Resistance ◽

Physical Properties ◽

Surface Treatment ◽

Heat Treating ◽

High Quality ◽

Plastics Industry

Abstract CRUCIBLE CSM 21 is a high quality stainless mold steel for the plastics industry. This datasheet provides information on composition, physical properties, hardness, and elasticity as well as fracture toughness. It also includes information on corrosion resistance as well as heat treating, machining, joining, and surface treatment. Filing Code: SS-620. Producer or source: Crucible Service Centers.

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