Publication in collaboration with Malaysia Institute of Transport (MITRANS)

Performance measurement for sustainable supply chain in automotive industry: a conceptual framework

Rika Ampuh Hadiguna; Harlina Suzanna Jaafar; Sabariah Mohamad

International Journal of Value Chain Management,  Vol. 5, No. 3/4, pp.232-250, 2011

Many automobile organisations need to establish suitable measures for effective green supply chain performance measurement because they have failed in supply chain management due to their inability to develop the performance measures and metrics required for complete supply chain integration and performance measurement. This paper discusses how these challenges may be addressed through the application of a systems approach to sustainable performance measurement of automotive supply chain management. This paper briefly reviews some of papers published to evaluate and develop performance measurement of automotive supply chain as a hybrid concept.

Keywords: performance measurement; sustainable supply chains; automotive supply chains; automobile industry; supply chain management; SCM; supply chain integration.

DOI: 10.1504/IJVCM.2011.043228 



A model for vendor managed inventory by applying the economic order quantity with fuzzy demand


Rika Ampuh Hadiguna; Harlina Suzana Jaafar; Sabariah Mohamad

International Journal of Enterprise Network Management, Vol. 4, No. 4, pp.354-366, 2011

This paper presented a decision support model for VMI system by applying the economic order quantity (EOQ) with fuzzy demand. The model of fuzzy EOQ that has been developed in this study is intended to accommodate the fuzzy demand. Result of the study shows that the optimal quantity of fuzzy EOQ is influenced by the value of ?1 and ?2. It was known that the value of order quantity (q) will be increased if the decision-makers getting more optimistic regarding the upper limit of the sales forecast implementation. The model formulation that has been introduced fuzzy number for demand to accommodate uncertainty situation.

Keywords: decision support models; vendor managed inventory; VMI; fuzzy demand; economic order quantity; EOQ; supply chain management; SCM; uncertainty.

DOI: 10.1504/IJENM.2011.043798 



Decision support framework for risk assessment of sustainable supply chain


Rika Ampuh Hadiguna

International Journal of Logistics Economics and Globalisation, Vol. 4, No. 1/2, pp.35-54, 2012

Decision support systems can play a role in improving the ability of decision-makers to assess and decide as good as. We introduced new paradigm in sustainable assessment in supply chain operations. Conceptual thinking is conducted by analysing two types of thinking namely general framework of supply chain risk management and assessment of sustainable supply chain. The content of the two types of the conceptual thinking will be analysed by observing diverse perspectives such as the constituent components, structuring the components and process of adoption. We found that there are three aspects in risks of sustainable supply chain namely economics, environment and social politics aspects. Product, processes and information flow are elements that interact with each aspect as a whole system. We proposed a conceptual model of decision support for risk assessment of sustainable supply chain. It has provided functional capabilities: modelling, data management, and knowledge management to support all decision-making processes. All risk indicators are arranged in the structure hierarchical. The proposed decision support is applying non-numeric under multi decision-maker's assessment. We presented a decision support framework that applicable in principle. The proposed system provided for eligibility proof to be implemented.

Keywords: decision support systems; DSS; sustainable supply chains; supply chain management; SCM; risk assessment; indicators; modelling; data management; knowledge management; sustainability.

DOI: 10.1504/IJLEG.2012.047213 



Model Penilaian Risiko Berbasis Kinerja untuk Rantai Pasok Kelapa Sawit Berkelanjutan di Indonesia


Rika Ampuh Hadiguna

Jurnal Teknik Industri, Vol. 14, No. 1, pp.13-24, 2012 (Accredited by Ministry of Education and Culture Republic of Indonesia)

As the country's largest palm oil producer in the world, Indonesian palm oil production is still encounter political barriers or non-tariff economy of several countries. Sustainable development policies have a role to overcome these obstacles. The research problem is how to build policies through the performance based risk assessment for sustainable palm oil supply chain in Indonesia. The research objective is to recommend policies that supported by performance-based risk assessment models for sustainable palm oil supply chain in Indonesia. Performance-based risk assessment algorithms have been developed and verified in a comprehensive manner. Model verification is conducted by analyzing the performance of crude palm oil supply chain based on expert’s analysis. This study has obtained the necessary indicators to assess the risk based on performance of sustainable crude palm oil supply chain. Model application has shown that risk level of sustainable crude palm oil in Indonesia relating to economics, environmental, and social aspects are moderate, respectively. However, there are some indicators that need to be considered with the level of risk is quite high, namely demand rate, quality of palm oil, timelines of product delivery, availability of crude palm oil and bullwhip effect. This paper has recommended some policies to address those risks.


Subject / Keyword(s) :
Supply chain, palm oil, risk, performance, sustainable. 





Risk-Based Performance Prediction Model for Sustainable Palm Oil Supply Chain



Rika Ampuh Hadiguna

The International Conference on Sustainable Business Competitiveness in Indonesian Agribusiness, 25-26 Juni 2012 di IPB International Convention Center (IICC), Bogor, Indonesia. Konferensi ini dilaksanakaan oleh Bogor Agricultural University (IPB), Maastricht School of Management – Netherland (MSM), Roundtable Indonesia Project (RTI) dan Center for Sustainable Business Competitiveness- IPB (CSBC).



The substance of study is how to forecast performance with considering the risk level of material flow and information flow in the palm oil supply chain. The purpose of this study is to develop a prediction model of the performance of sustainable palm oil supply chain by considering the risk level. Prediction model that designed is a model with capability to predict the level of achievement in the future. This study has successfully developed a risk based performance prediction model of sustainable palm oil supply chain. Application of non-numeric method proved quite effective in providing performance predictions. The developed model was verified by applying the model to predict the performance of Indonesia palm oil supply chain. Result of predictions model has also been validated by comparing predicted results with the current situation. This was show that the model is valid. Performance prediction of Indonesia palm oil supply chain in the next year is poor. Performance prediction of each aspect is ordinary. Performance prediction of each indicator in general is ordinary except demand, quality of finished product, timeline of delivery and inventory is very good. In addition, applications of proposed model also need to be tested more widely.



Keywords: performance, risk, prediction, sustainable, palm oil, supply chain


Decision Support System of performance assessment for sustainable supply chain management

Rika Ampuh Hadiguna

International Journal of Green Computing, 2012 (Accepted)

Sustainable supply chain management (s-SCM) requires a practice tool to assess performance that able to measure, evaluate and improve the existing operations of supply chain. The research question is how to build decision support system (DSS) for performance assessment of s-SCM. We have designed a DSS for performance assessment of s-SCM. There are some elements in designed DSS namely existing achievement, standards, indicators achievement and priority, computation algorithm, and recommendation for improvement. Theoretical contribution of this study is development of relationship between total and partial performance in mathematical formulation. The model that has been presented is still using generic indicators. If the particular company would like to apply model that additional indicators should change the encoding computer program. However, the modification is very easy to perform. DSS structure of this study is still able to accommodate any kind of particular requirement.  

Keywords:    decision support, performance, sustainable, supply chain.