A multiple-objective linear programming model for the citrus rootstock selection problem in Florida

Supplier selection is one of the most important elements in supply chain management. This function involves evaluation of many factors such as, material costs, transportation costs, quality, delays, supplier capacity, storage capacity and others. Each of these factors varies with time, therefore, supplier identified for one period is not necessarily be same for the next period to supply the same product. So, mixed integer linear programming (MILP) was developed to overcome the dynamic supplier selection problem (DSSP). In this paper, a mixed integer linear programming model is built to solve the lot-sizing problem with multiple suppliers, multiple periods, multiple products and quantity discounts. The buyer has to make a decision for some products which will be supplied by some suppliers for some periods cosidering by discount. To validate the MILP model with randomly generated data. The model is solved by Lingo 16.

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Lean and Green Supplier Selection Problem: A Novel Multi Objective Linear Programming Model for an Electronics Board Manufacturing Company in Turkey

Multiple Criteria Decision Making and Aiding - International Series in Operations Research & Management Science ◽

10.1007/978-3-319-99304-1_10 ◽

2018 ◽

pp. 281-309 ◽

Cited By ~ 2

Author(s):

Ahmet Çalık ◽

Turan Paksoy ◽

Sandra Huber

Keyword(s):

Linear Programming ◽

Supplier Selection ◽

Programming Model ◽

Selection Problem ◽

Linear Programming Model ◽

Green Supplier Selection ◽

Multi Objective ◽

Manufacturing Company ◽

Lean And Green ◽

Supplier Selection Problem

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A Mixed Integer Multiple Objective Linear Programming Model for Capacity Expansion in an Autonomous Power Generation System

Energy and Environment ◽

10.1007/0-387-25352-1_8 ◽

2005 ◽

pp. 191-210 ◽

Cited By ~ 4

Author(s):

Giorgos Mavrotas ◽

Danai Diakoulaki

Keyword(s):

Power Generation ◽

Linear Programming ◽

Programming Model ◽

Capacity Expansion ◽

Mixed Integer ◽

Multiple Objective ◽

Multiple Objective Linear Programming ◽

Generation System ◽

Integer Multiple ◽

Power Generation System

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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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