Application of objective matrix to improve performance green supply chain management

R. Septifani, Ardaneswari Dyah Pitaloka Citraresmi, Galuh Melisa Emaradina
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Abstract

The eucalyptus oil factory (PMKP) Sukun Ponorogo is an industry with complex supply chain activities, starting from the raw material’s procurement, production processes, distribution, and reverse logistics. Some of these activities may result in environmental problems. Therefore, measurement of its supply chain management (SCM) performance related to environmental conditions is critical. The green supply chain management (GSCM) concept can help the company to assess the supply chain's performance conditions that could harm the environment. This study aimed to assess the current SCM and measure its performance, as well as to evaluate the potential implementation on GSCM in the PMKP Sukun Ponorogo. The analytical network process (ANP) was used in this study, consisting of 36 key performance indicators (KPI) from five categories of plan, source, deliver, make, and return. The study results show that all KPIs from the responsiveness dimension in the deliver category have the lowest weight, thus require priority for improvement. The results of the scoring system using the objective matrix (OMAX) method indicated two KPIs were in the red category (or need improvement), including on-time delivery of raw materials to production site and the rejection rate of raw materials. This study suggested to improve the estimated delivery time for avoiding any delays during the production process. This improvement may support the company to continuously offer on-time production process and product’s distribution.
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目标矩阵在绿色供应链管理绩效改进中的应用
桉树油厂(PMKP) Sukun Ponorogo是一个具有复杂供应链活动的行业,从原材料采购,生产过程,分销和逆向物流开始。其中一些活动可能会导致环境问题。因此,测量与环境条件相关的供应链管理(SCM)绩效是至关重要的。绿色供应链管理(GSCM)的概念可以帮助公司评估供应链的绩效条件,可能会损害环境。本研究旨在评估当前的供应链管理和衡量其绩效,以及评估在PMKP Sukun Ponorogo中实施GSCM的潜力。本研究采用分析网络流程(ANP),由计划、来源、交付、制造和回报五类36个关键绩效指标(KPI)组成。研究结果表明,在交付类别中,响应性维度的所有kpi权重最低,因此需要优先改进。采用目标矩阵(OMAX)法的评分系统结果显示,两项关键绩效指标为红色(或需要改进),包括原材料准时交付到生产现场和原材料不良率。本研究建议改善预估交货时间,以避免生产过程中的任何延误。这种改进可以支持公司持续提供准时的生产过程和产品分销。
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