MULTI-PRODUCT MASTER PRODUCTION SCHEDULING OPTIMIZATION MODELLING USING MIXED INTEGER LINEAR PROGRAMMING AND GENETIC ALGORITHMS
Journal: INTERNATIONAL JOURNAL OF RESEARCH -GRANTHAALAYAH (Vol.6, No. 5)Publication Date: 2018-05-31
Authors : M. S. Al-Ashhab Hassan Fadag;
Page : 78-92
Keywords : MPS; Genetic Algorithm; Evolver; Xpress; Mixed Integer Linear Programming.;
Abstract
The objective of this research is to develop a Master Production Scheduling (MPS) model to maximize the total profit using Mixed Integer Linear Programming (MILP). The model is solved using both MILP with the Xpress software and genetic algorithms with the Evolver solver. The model is built for Evolver in MS Excel. Results of both solving tools are compared to analyze the performance of each of them. The accuracy and capability of the model to solve the MPS problems have been verified through the discussion of its results logicality for different cases of different patterns.
Other Latest Articles
- गाँधी-दर्शन की प्रासंगिकता
- EFFECT OF VARIOUS LEVELS OF METABOLIZE ENERGY ON GROWTH PERFORMANCE OF CLARIAS JAENSIS FINGERLINGS (BOULENGER, 1909)
- THE STANDARDS FOR ENSURING THE QUALITY OF EDUCATION IN KOSOVO ACCORDING TO EUROPEAN STANDARDS OF THE HIGH EDUCATION
- मन्नू भंडारी की कहानिया ें म ें विवाहित महिलाओं के संघर्ष
Last modified: 2018-06-04 14:11:23