Purpose

This paper studies the textile supply chain tactical planning under demand fuzziness through considering environmentally friendly and social responsibility. Hence, carbon emission in textile production and transportation is considered along with supply chain profitability.

Design/methodology/approach

The authors present a fuzzy multi-objective mathematical optimization model with credibilistic chance constraints to determine the fabric procurement quantities and production plan under uncertainty. The solution procedure makes use of credibility measure and fuzzy aggregation operator to attain compromise solutions.

Findings

A trade-off among carbon emissions, social performance and supply chain total profit is conducted. The analyses indicate the importance of transportation costs and carbon emission while determining the supply chain's tactical plan.

Originality/value

The textile supply chain's social sustainability alongside carbon emissions of textile operations is contemplated to provide apparel production and distribution logistics planning under uncertainty. In doing so, the authors propose a hybrid credibility-possibility mathematical optimization model to determine a compromise solution for textile managers.

中文翻译：

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考虑碳排放和服装需求模糊性的纺织品供应链管理：一种模糊数学规划方法

目的

本文通过考虑环境友好和社会责任来研究需求模糊下的纺织品供应链战术规划。因此，纺织品生产和运输中的碳排放与供应链盈利能力一起被考虑。

设计/方法/方法

作者提出了一个带有可信机会约束的模糊多目标数学优化模型来确定不确定条件下的面料采购数量和生产计划。求解过程利用可信度度量和模糊聚合算子来获得折衷解。

发现

在碳排放、社会绩效和供应链总利润之间进行权衡。分析表明运输成本和碳排放在确定供应链战术计划时的重要性。

原创性/价值

纺织供应链的社会可持续性以及纺织业务的碳排放，旨在提供不确定性下的服装生产和分销物流规划。为此，作者提出了一种混合可信度-可能性数学优化模型，以确定纺织经理的折衷解决方案。