Assessing the Sustainability of Manufacturing Processes in the Manufacture of Transport Equipment, Based on Fuzzy Grey Relational Analysis

Olabanji, Olayinka Mohammed; Mpofu, Khumbulani

doi:10.7166/33-1-2453

Cited by 4 publications

(3 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For ease of analysis, consider a TFN 'M', of which membership function 'µ m (y)' is contained in [0 1] as defined in Equation (1) [39]. In Equation (1), a, b and c represent the lower, modal and upper values of M, respectively, such that a ≤ b ≤ c. The TFN (M) described in Equation (1) can be defuzzified to obtain a crisp value 'M crisp ', which is the best non-fuzzy performance value, as presented in Equation (2) [40].…”

Section: Tfn and Membership Functionsmentioning

confidence: 99%

A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

Olabanji

2024

Applied Sciences

View full text Add to dashboard Cite

The development of an equipment starts from an effective design activity. The concept selection process is an activity that is entailed in the design stage, and its relevance in the design process cannot be overemphasized because it informs the choice of optimal conceptual design from a set of alternative designs. Hence, there is a need to accrue efforts to the concept selection process because of its importance. This article presents the identification of optimal conceptual design as a multicriteria decision-making model by assessing the suitability of fuzzy Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). The fuzzy MARCOS model was developed to access four alternative conceptual designs of briquetting machines considering eight design features with several sub-features. The results obtained from the decision analysis showed that the fuzzy MARCOS model was able to rank the designs based on their performance and the final values of the overall utility function. The overall utility function is based on the utility degree of the conceptual design alternatives in terms of the best and worst designs identified by the model. The utility degree created a platform for comparison on how the design alternatives varied from the best and worst designs. The results obtained from the MARCOS method were validated using the TOPSIS method and modified TOPSIS method, and the results obtained showed that the MARCOS method is in conformity with the validation results.

show abstract

Section: Tfn and Membership Functionsmentioning

confidence: 99%

A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

Olabanji

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…These factors are further discussed in this section. Process management in manufacturing companies is important, especially in ensuring business sustainability (Olabanji & Mpofu 2022).…”

Section: Root Cause Analysis For Management Issuesmentioning

confidence: 99%

Analysis of factors and solutions to poor supply chain quality in a manufacturing organisation

Selepe,

Makinde

2024

Journal of Transport and Supply Chain Management

View full text Add to dashboard Cite

Background: With about 55% of operating costs in manufacturing organisations coming from costs of supply chains, coupled with a 6% increase in supply chain costs incurred by a manufacturing organisation during the financial year 2021–2022, supply chain managers need to ascertain factors contributing to high supply operating cost and ascertain suitable strategies to lower supply chain management cost.Objectives: The purpose of this study is to unveil the factors and the solutions to poor supply chain quality in a steel product manufacturing organisation.Method: A qualitative approach conducted via an interview guide was used in this study. Perceptions of key supply chain stakeholders within a steel product manufacturing organisation formed the basis of the exploring factors contributing to poor supply chain quality and the solutions thereof. The Pareto chart was created to ascertain the critical factors that contribute to poor supply chain quality.Results: The study revealed that inventory stock-out, management decisions, process deviations, longer lead times, suppliers and unreliable enterprise resource planning (ERP) system issues contributed to poor supply chain quality.Conclusion: Supply chain managers should make use of strategies such as safety and consignment stock policy, just-in-time (JIT) system, supplier evaluation exercise for supplier selection, localisation of the sourcing of raw materials, customised ERP systems, job rotation and dashboards, with a view to improve visibility and efficiency of supply chain processes.Contribution: The study serves as a knowledge advisor to supply chain managers, on the critical factors contributing to poor supply chain quality, and the solutions thereof.

show abstract

“…In Equation ( 1), a, b and c represent the lower, modal and upper values of M respectively, such that a b c ≤ ≤ . The TFN (M) described in equation 1 can be defuzzified to obtain a crisp value ' crisp M ' which is the best non-fuzzy performance value as presented in Equation ( 2) [46]. (2)…”

Section: Tfn and Membership Functionsmentioning

confidence: 99%

A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

Olabanji

2023

Preprint

View full text Add to dashboard Cite

The development of an equipment starts from an effective design activity. The concept selection process is an activity that is entailed in the design stage and its relevance in the design process cannot be overemphasized because it informs the choice of optimal conceptual design from a set of alternative design. Hence, there is a need to accrue efforts to the concept selection process because of its importance. This article presents the identification of optimal conceptual design as a Multicriteria decision making model by assessing the suitability of Fuzzy Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). The Fuzzy MARCOS model was developed to access four alternative conceptual designs of briquetting machines considering eight design features with several sub features. The fuzzy MARCOS model was able to rank the conceptual designs and the results obtained from the decision analysis showed that the Fuzzy MARCOS model was able to rank the designs based on their performance and the final values of the overall utility function. The overall utility function is a based on the utility degree of the conceptual design alternatives in terms of the best and worst designs identified by the model. The utility degree created a platform for comparison on how the design alternatives varies from the best and worst design.

show abstract

Assessing the Sustainability of Manufacturing Processes in the Manufacture of Transport Equipment, Based on Fuzzy Grey Relational Analysis

Cited by 4 publications

References 34 publications

A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

Analysis of factors and solutions to poor supply chain quality in a manufacturing organisation

A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

Contact Info

Product

Resources

About