Weighted Linear Goal Programming Approach for Solving Budgetary Manufacturing Process

Alluwaici, Mo’ath; Junoh, Ahmad Kadri; Zakaria, Mohd Hafiz; Desa, Afifi Md

doi:10.17654/ms101091993

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Finding an optimized compromise solution that minimizes raw material costs while boosting profitability and maximizing facility utilization is a challenging task for manufacturing companies. Previous studies have employed goal programming techniques in various domains such as production planning in factories and manufacturing plants [8,9,10], financial management and budgetary planning [11,12], process optimization on farms [13], preferences setting in multi-product manufacturing systems [14], aggregating individual preferencesinto global preferences [15], production optimization in the bakery sector [7], and textile manufacturing industry [16] amongst others. Additionally, research conducted in the Nigerian feed manufacturing sector has focused on feed ration optimization in order to reduce cost and improve quality simultaneously [17,18,19], challenges faced by feed manufacturing firms [20,21], optimizing production units and profit [22], and optimizing raw material procurement given limited liquid capital [23].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Optimization of Probability and Capacity Utilization in a Feed Manufacturing Firm Using Goal Programming Techniques

BOLARINWA,

ALAWODE

2024

ERJ. Engineering Research Journal

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This study aimed to create a mathematical model for a feed manufacturing firm that maximizes profit, minimizes cost, and maximizes capacity utilization simultaneously. Data on materials, products, and targets were collected and analysed to form the necessary parameters for the model. Two models were developed: Weighted Lexicographic (WLGP) and Weighted Meta Goal Programming (WMGP). The models included various constraints such as goals, capacity, material proportion, material balance, and demand ratios. Lingo 20.0 optimization software was used to solve the models. The feed manufacturing firm dealt with 15 materials and produced 5 products. The target was to achieve a profit of ₦9,000,000 without exceeding a cost of ₦62,000,000, while utilizing 98% of the production capacity. In Case 1 (profit maximization), the firm achieved the profit target but slightly fell short of the capacity utilization goal by 0.14%. In Case 2 (cost minimization), the firm achieved the cost goal but had a profit shortfall and a slight underachievement in capacity utilization. In Case 3 (capacity utilization maximization), the firm attained the desired capacity utilization goal but had an excess profit and an overachievement in cost. Monthly feed type allocations varied based on the prioritized objective in each case. The WMGP method was also used, and all goals were achieved within acceptable limits. Material allocation aligned with the outcomes of Case 3 in the WLGP method. In conclusion, WLGP and WMGP approaches proved valuable for optimizing production in the poultry feed industry.

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Section: Introductionmentioning

confidence: 99%

A Multi-Objective Optimization of Probability and Capacity Utilization in a Feed Manufacturing Firm Using Goal Programming Techniques

BOLARINWA,

ALAWODE

2024

ERJ. Engineering Research Journal

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Linear programming modeling for profit maximization in automotive industry

Haris¹,

Junoh²

2023

Advances in Material Science and Manufacturing Engineering

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Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in the High-Technology Company

Ty¹,

Ly²,

Lh³

et al. 2021

Preprint

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Using the PLCC advantages generates revenue and lowers costs more than might be anticipated. It ensures better decisions by using a more perfect and practical assessment of revenues and costs. Although the supplier selection (SC) product life cycle cost (SCPLCC) is an important consideration among corporations, SCPLCC problem has become associated with deciding how one supplier should be selected from possible alternatives. In this study, we applied two types of goal programming, multiobjective linear programming and revised multichoice goal programming to develop a PLCC-based concept to solve the SCPLCC problem and construct a decision-making tool for application to a case of supply chain management in a Taiwanese light-emitting diode company in the high-tech industry. Our study main contribution Company managers can easily use the two approaches of the SCPLCC model with different parameters to solve SCPLCC model problems. Finally, we comparing five models found RMCGP with weighted linear goal programming had an adequate effect for application to the PLCC concept for high-technology company; this cloud make company decision–makers focus on low PLCC and select better supplier.

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Weighted Linear Goal Programming Approach for Solving Budgetary Manufacturing Process

Cited by 3 publications

References 10 publications

A Multi-Objective Optimization of Probability and Capacity Utilization in a Feed Manufacturing Firm Using Goal Programming Techniques

A Multi-Objective Optimization of Probability and Capacity Utilization in a Feed Manufacturing Firm Using Goal Programming Techniques

Linear programming modeling for profit maximization in automotive industry

Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in the High-Technology Company

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