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<p>Incorporating sustainability dimensions is important for companies, as it provides a framework for addressing economic, environmental and social aspects. These sustainability pillars can be incorporated into key areas such as product design, supply chain, production planning, etc. Among these, production planning is critical and spans over long, medium and short-term levels. The literature has suggested a flourishing trend towards integrating sustainability in medium-term approaches like aggregate production planning. In this context, previous studies have primarily focused on evaluating environmental sustainability through energy consumption and carbon emission. Meanwhile, social sustainability has been addressed through workforce motivation, corporate social responsibility projects and overtime working hours. However, an important aspect of chemical (cutting fluid) has been overlooked, despite its environmental and social impacts. The utilization of chemicals poses various issues, including water pollution, biodiversity loss and health and safety risks, which need to be appropriately addressed. Therefore, this study aims to integrate the previously overlooked sustainability aspects related to chemical consumption. To achieve this, a multi-objective aggregate production planning model has been formulated, incorporating fuzzy programming and fuzzy analytical hierarchy process to address uncertainties across various attributes. The applicability of the proposed model was demonstrated by utilizing data from a precision engineering company and was solved using the IBM ILOG CPLEX solver. The results showed an overall satisfaction level of 70%, reflecting not only the economic viability of the production plan but also its ability to reasonably address environmental and social concerns to the decision maker’s satisfaction. Furthermore, the sensitivity analysis results revealed that increasing the weight of the environmental objective function lowered the satisfaction level, whereas increasing the weight of the social objective function enhanced satisfaction, reflecting the decision maker’s preference for the social criterion over the environmental criterion. Finally, the proposed model will assist decision makers in generating production plans that are economically, environmentally and socially sustainable.</p>

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Sustainable aggregate production planning for machining operations considering cutting fluid consumption and its health and safety risks

  • 期刊论文

  • 发表日期：

    2025年4月20日

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  • Muhammad Qasim,
  • Kuan Yew Wong,
  • Mohd Syahril Ramadhan Mohd Saufi,
  • Mohd Firdaus Mohd Taib

摘要

Incorporating sustainability dimensions is important for companies, as it provides a framework for addressing economic, environmental and social aspects. These sustainability pillars can be incorporated into key areas such as product design, supply chain, production planning, etc. Among these, production planning is critical and spans over long, medium and short-term levels. The literature has suggested a flourishing trend towards integrating sustainability in medium-term approaches like aggregate production planning. In this context, previous studies have primarily focused on evaluating environmental sustainability through energy consumption and carbon emission. Meanwhile, social sustainability has been addressed through workforce motivation, corporate social responsibility projects and overtime working hours. However, an important aspect of chemical (cutting fluid) has been overlooked, despite its environmental and social impacts. The utilization of chemicals poses various issues, including water pollution, biodiversity loss and health and safety risks, which need to be appropriately addressed. Therefore, this study aims to integrate the previously overlooked sustainability aspects related to chemical consumption. To achieve this, a multi-objective aggregate production planning model has been formulated, incorporating fuzzy programming and fuzzy analytical hierarchy process to address uncertainties across various attributes. The applicability of the proposed model was demonstrated by utilizing data from a precision engineering company and was solved using the IBM ILOG CPLEX solver. The results showed an overall satisfaction level of 70%, reflecting not only the economic viability of the production plan but also its ability to reasonably address environmental and social concerns to the decision maker’s satisfaction. Furthermore, the sensitivity analysis results revealed that increasing the weight of the environmental objective function lowered the satisfaction level, whereas increasing the weight of the social objective function enhanced satisfaction, reflecting the decision maker’s preference for the social criterion over the environmental criterion. Finally, the proposed model will assist decision makers in generating production plans that are economically, environmentally and socially sustainable.