Textile dyestuff supplier evaluation and quantity allocation is a multi-period multi-objective optimization problem of a business triad comprising of cost, quality, and time. To date, no such sufficing textile supply chain management model is reported that optimizes all three components of the business triad along with customer complaints and external quality audit. This research work initiates an advanced integrated multi-dimensional evaluation approach to support small and medium-sized textile industries in effective supplier selection and quantity allocation. Many small and medium-sized enterprises in the textile sector have little or no facilities to evaluate the quality of incoming dyes in their premises. An intervention of government laboratories is recommended in this study, which play a compelling role to regulate and help evaluate the dyestuff suppliers according to the acceptable quality limit. A multi-period multi-objective textile supply chain management (MPMOTSCM) model is developed for simultaneous achievement of supplier evaluation and order allocation. Based on the recommended business triad and expert committee input, an interactive weighted fuzzy goal programming model is developed. A numerical assessment using metaheuristic approach is carried out to elaborate the practical applicability of the model. The experimental outcomes show that the proposed model has achieved 45.77% satisfaction level for the cost, 80.73% for the quality, and 95.04% for the time. Analysis of the model indicates that this model provides a robust decision support system to the managers for dyestuff supplier evaluation, selection, and quantity allocation.

纺织品染料供应商的评估和数量分配是商业三合会的多周期多目标优化问题，包括成本，质量和时间。迄今为止，尚无此类足以满足需求的纺织品供应链管理模型能够优化商业三合会的所有三个组成部分以及客户投诉和外部质量审核。这项研究工作启动了一种先进的综合多维评估方法，以支持中小型纺织工业进行有效的供应商选择和数量分配。纺织部门的许多中小型企业几乎没有或根本没有设施来评估其场所中传入染料的质量。在这项研究中，建议对政府实验室进行干预，根据可接受的质量限制，染料起着至关重要的作用，可以调节和帮助评估染料供应商。为了同时实现供应商评估和订单分配，建立了多周期多目标纺织品供应链管理（MPMOTSCM）模型。基于推荐的商业三合会和专家委员会的意见，开发了一个交互式加权模糊目标规划模型。使用元启发式方法进行了数值评估，以阐述该模型的实际适用性。实验结果表明，所提出的模型在成本上达到了45.77％，在质量上达到了80.73％，在时间上达到了95.04％。对模型的分析表明，该模型为经理提供了一个强大的决策支持系统，用于染料供应商的评估，选择，