Ciencias Exactas y Ciencias de la Salud

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Designing a mathematical model and solution for a circular economy-based closed-loop supply chain in semiconductor materials, focusing on microchips and motherboards
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-08) Retamoza Salazar, Mariana; Smith Cornejo, Neale Ricardo; emimmayorquin; Esturí, Shiva; Escuela de Ingeniería y Ciencias; Campus Monterrey; Hajiaghaeikeshteli, Mostafa
As environmental concerns escalate and societal expectations evolve, the imperative for sustainable practices within supply chain management becomes increasingly evident. Closed- oop Supply Chain (CLSC) emerges as a pivotal strategy, aiming to integrate environmental sustainability with economic efficiency. This research addresses the pressing need for nnovative solutions in the semiconductor industry, focusing on microchips and motherboards, where the traditional linear supply chain odel falls short in mitigating environmental impact and demand fulfillment. This study pioneers the development of a CLSC networking framework explicitly tailored for semiconductor products. A comprehensive multiperiod multivariable mathematical model is proposed for extraction and manufacturing, as well as customer delivery, collection, recycling, and reintegration.This model pursues a bi-objective: minimizing the total costs of the network and reducing greenhouse gases, particularly the Global Warming Potential (GWP), thus advancing economic and environmental sustainability. Utilizing the General Algebraic Modeling System (GAMS) with Mixed-Integer Programming (MIP), the proposed model is solved, providing actionable insights for sustainable supply chain management. Moreover, a case study in Mexico offers practical application and further explains the model's efficacy. Finally, managerial insights are derived through an LP-metric Method, enabling a comparative analysis of the dual objective functions. This facilitates informed decision-making, emphasizing integrating economic and environmental considerations in supply chain management strategies. In conclusion, this research contributes to the advancement of sustainable supply chain practices within the semiconductor industry, offering a comprehensive framework for decision-makers to navigate the complexities of modern supply chain management.
Price and due date quoting for a mass customization company
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-06-15) De la Torre Altamirano, Mario Alejandro; Smith Cornejo, Neale Ricardo; lagdtorre/tolmquevedo; Tercero Gómez, Víctor G; Ángel Bello Acosta, Francisco R; Escuela de Ingeniería y Ciencias; Campus Monterrey
Mass customization is a competitive strategy based on offering a wide variety of options without greatly increasing production costs. Some associated challenges are the management of components inventory and job scheduling. Three unique scheduling mixed integer programming models with sequence dependent setups are proposed for different production scenarios. They allow quoting different sale prices depending on what due date is acceptable to the customer. Three solutions methods were employed, one is a mixed integer programming formulation with the Gurobi optimizer solver, which guarantees to find the optimal solution, but is restricted to the problem size. The others are a simulated annealing and an ant colony heuristic, which does not guarantee to find the optimal answer, but is not restricted by the size of the problem. Both heuristics probe to bring statistically similar results. Each solution method was successfully validated on a real-world mass customization firm. Due date variation analysis showed a high correlation between due date and cost. Model can be meaningfully used since long lead time can be a major cause for market share loss.
Deterministic and stochastic profit maximization versions of the economic lot scheduling problem with pricing considerations
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2006-12-01) Salvietti Cignetti, Luciano; SMITH CORNEJO, NEALE RICARDO; 31327; Smith Cornejo, Neale Ricardo; González Velarde, José Luis; Ángel-Bello, Francisco; Programa de Graduados en Ingeniería; Campus Monterrey
The economic lot scheduling problem (ELSP) is a well known problem that focuses on scheduling the production of multiple items on a single machine such that inventory and setup costs are minimized. In this thesis the ELSP is extended to include price optimization with the objective to maximize profits. Two variants are proposed: a deterministic version which will be known as the PELSP and the stochastic version which is called the SPLSP. A solution methodology based on column generation and integer programming is proposed and is shown to produce very close to optimal results with short solution times. Computational testing is performed to evaluate the methodology. The results are discussed and recommendations for further research are provided.

Ciencias Exactas y Ciencias de la Salud

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