Constrained Supply Chain Scheduling Model Using Sequential Quadratic Programming Algorithm

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...

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Published in:Journal of sciences, Islamic Republic of Iran Vol. 31; no. 4; pp. 349 - 356
Main Authors: Derick Erl Sumalapao, Leon Elijah Bagwan, Angelyn Lao
Format: Journal Article
Language:English
Published: University of Tehran 01.11.2020
Subjects:
constrained optimization
mathematical model
nonlinear programming
subcontracting
ISSN:1016-1104, 2345-6914
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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.
AbstractList 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.
Author Angelyn Lao
Leon Elijah Bagwan
Derick Erl Sumalapao
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  organization: Mathematics and Statistics Department, College of Science, De La Salle University, Manila, Philippines
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Snippet Challenges such as advances in technology, demands of the global market, and limited warehouse spaces resort manufacturing industries to subcontracting....
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SubjectTerms constrained optimization
mathematical model
nonlinear programming
subcontracting
Title Constrained Supply Chain Scheduling Model Using Sequential Quadratic Programming Algorithm
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