Constrained Supply Chain Scheduling Model Using Sequential Quadratic Programming Algorithm

Document Type : Original Research Articles

Authors
Derick Erl Sumalapao 1
Leon Elijah C. Bagwan 2
Angelyn R. Lao 2
1 Department of Epidemiology and Biostatistics, College of Public Health, University of the Philippines Manila, Manila, Philippines
2 Mathematics and Statistics Department, College of Science, De La Salle University, Manila, Philippines
10.22059/jsciences.2020.277010.1007380
Abstract
Challenges such as advances in technology, demands of the global market, and limited warehouse spaces resort manufacturing industries to subcontracting. Subcontracting has been a considerable alternative in the manufacturing industries and is utilized as a strategic tool to diminish operation costs primarily to address the problem of scarcity when the firm faces a large demand on the commodity it supplies. The present study employed a mathematical model among firms engaging in subcontracting in search of an optimal schedule in the manufacture of the product and distribution of production time involved with an objective of obtaining a maximum profit. The constraints in the mathematical formulation included the total demand, processing capacity, available supply, processing rate, and time. The plausibility and the possible utility of the mathematical model has been explored employing sequential quadratic programming algorithm in the search of the optimal solutions.
Keywords
Subcontracting
Mathematical model
Constrained optimization
Nonlinear programming
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Journal of Sciences, Islamic Republic of Iran
Volume 31, Issue 4
Autumn 2020
Pages 349-356