Planeamento optimizado da produção de vestuário: Programação linear e modelo de montagem de processamento externo para reduzir os custos com tarifas de importação

Ray Wai Man Kong

Planeamento optimizado da produção de vestuário: Programação linear e modelo de montagem de processamento externo para reduzir os custos com tarifas de importação

Translated title of the contribution: Optimized Garment Production Planning: Optimized Linear Programming with the Outward Processing Assembly Model to reduce import tariffs cost

Ray Wai Man Kong

Department of Systems Engineering

Research output: Scholarly Books, Monographs, Reports and Case Studies › Translated book (Author) › peer-review

Abstract

In the context of global garment manufacturing, companies face significant challenges due to high import tariffs, particularly those imposed on goods produced in China. This has prompted manufacturers to explore innovative strategies, such as separating the Outward Processing Assembly (OPA) of garment sewing parts, which involves producing components in China and completing final assembly in other Asian countries. This study investigates the complexities of production planning within this framework, focusing on optimizing assembly costs while addressing constraints related to labor, machine capacity, and regulatory quotas.
Current production planning practices often lead to inefficiencies, including surplus and shortage capacities across factories, resulting in increased costs and late deliveries. To tackle these issues, this research employs stochastic linear programming algorithms to formulate a multistage production planning model aimed at minimizing total assembly costs while ensuring timely delivery of garments.
The methodology involves a comprehensive analysis of production requirements, the study of scheduling algorithms, and the design of a CPLEX programming model to simulate various production scenarios.
The results demonstrate that the implementation of the stochastic linear programming model significantly reduces total assembly costs, including inventory and outsourcing expenses, while improving on-time delivery rates. By optimizing resource allocation and addressing multiple constraints, the proposed model not only enhances operational efficiency but also contributes to substantial cost savings for the apparel manufacturing sector. Ultimately, this research provides a robust framework for improving production planning in Company A, with the potential to yield over a million dollars in savings through effective resource management and strategic planning.

Copyright © Ray Wai Man Kong
Copyright © 2025 Dodo Books Indian Ocean Ltd. and OmniScriptum S.R.L publishing group

Translated title of the contribution	Optimized Garment Production Planning: Optimized Linear Programming with the Outward Processing Assembly Model to reduce import tariffs cost
Original language	Portuguese
Place of Publication	United Kingdom
Publisher	Sciencia Scripts
Number of pages	96
ISBN (Print)	978-620-9-22041-8
Publication status	Published - 31 Oct 2025

Bibliographical note

This book is a translation from the original published under ISBN 978-620-8-44508-9.
Information for this record is supplemented by the author(s) concerned.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

Garment Manufacturing
Production Planning
Optimization

Other Access Options

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Permanent Link

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Optimized Garment Production Planning: Optimized Linear Programming with the Outward Processing Assembly Model to reduce import tariffs cost
Kong, R. W. M., 19 May 2025, United Kingdom: LAP Lambert Academic Publishing. 128 p.
Research output: Scholarly Books, Monographs, Reports and Case Studies › RGC 11 - Research book or monograph (Author)

Cite this

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N2 - In the context of global garment manufacturing, companies face significant challenges due to high import tariffs, particularly those imposed on goods produced in China. This has prompted manufacturers to explore innovative strategies, such as separating the Outward Processing Assembly (OPA) of garment sewing parts, which involves producing components in China and completing final assembly in other Asian countries. This study investigates the complexities of production planning within this framework, focusing on optimizing assembly costs while addressing constraints related to labor, machine capacity, and regulatory quotas.Current production planning practices often lead to inefficiencies, including surplus and shortage capacities across factories, resulting in increased costs and late deliveries. To tackle these issues, this research employs stochastic linear programming algorithms to formulate a multistage production planning model aimed at minimizing total assembly costs while ensuring timely delivery of garments.The methodology involves a comprehensive analysis of production requirements, the study of scheduling algorithms, and the design of a CPLEX programming model to simulate various production scenarios.The results demonstrate that the implementation of the stochastic linear programming model significantly reduces total assembly costs, including inventory and outsourcing expenses, while improving on-time delivery rates. By optimizing resource allocation and addressing multiple constraints, the proposed model not only enhances operational efficiency but also contributes to substantial cost savings for the apparel manufacturing sector. Ultimately, this research provides a robust framework for improving production planning in Company A, with the potential to yield over a million dollars in savings through effective resource management and strategic planning.Copyright © Ray Wai Man KongCopyright © 2025 Dodo Books Indian Ocean Ltd. and OmniScriptum S.R.L publishing group

AB - In the context of global garment manufacturing, companies face significant challenges due to high import tariffs, particularly those imposed on goods produced in China. This has prompted manufacturers to explore innovative strategies, such as separating the Outward Processing Assembly (OPA) of garment sewing parts, which involves producing components in China and completing final assembly in other Asian countries. This study investigates the complexities of production planning within this framework, focusing on optimizing assembly costs while addressing constraints related to labor, machine capacity, and regulatory quotas.Current production planning practices often lead to inefficiencies, including surplus and shortage capacities across factories, resulting in increased costs and late deliveries. To tackle these issues, this research employs stochastic linear programming algorithms to formulate a multistage production planning model aimed at minimizing total assembly costs while ensuring timely delivery of garments.The methodology involves a comprehensive analysis of production requirements, the study of scheduling algorithms, and the design of a CPLEX programming model to simulate various production scenarios.The results demonstrate that the implementation of the stochastic linear programming model significantly reduces total assembly costs, including inventory and outsourcing expenses, while improving on-time delivery rates. By optimizing resource allocation and addressing multiple constraints, the proposed model not only enhances operational efficiency but also contributes to substantial cost savings for the apparel manufacturing sector. Ultimately, this research provides a robust framework for improving production planning in Company A, with the potential to yield over a million dollars in savings through effective resource management and strategic planning.Copyright © Ray Wai Man KongCopyright © 2025 Dodo Books Indian Ocean Ltd. and OmniScriptum S.R.L publishing group

KW - Garment Manufacturing

KW - Production Planning

KW - Optimization

M3 - Translated book (Author)

SN - 978-620-9-22041-8

BT - Planeamento optimizado da produção de vestuário

PB - Sciencia Scripts

CY - United Kingdom

ER -

Planeamento optimizado da produção de vestuário: Programação linear e modelo de montagem de processamento externo para reduzir os custos com tarifas de importação

Abstract

Bibliographical note

UN SDGs

Research Keywords

Other Access Options

Permanent Link

Fingerprint

Research output

Optimized Garment Production Planning: Optimized Linear Programming with the Outward Processing Assembly Model to reduce import tariffs cost

Cite this