Decision support system for increasing sustainable productivity on fishery agroindustry supply chain

The objective of this research was to develop a decision support system (DSS) for increasing sustainable productivity on fishery agro industry supply chain management. The DSS is able to provide information and decision alternatives to all stakeholders related to catching business, added value, agro industry performance and sustainable fishery analysis in Southeast Maluku District, Indonesia. Stock prediction model measured value of C_MSY and E_MSY with equilibrium Schaefer as indicator of surplus production. Added value analysis model used to measure added value with profit margin. Agro industry performance analysis model used to measure performance of Agro industry with Balanced Scorecard (BSC). Company vision and strategy derived and operationalized into four different perspectives: financial, customer, internal business process, and learning and growth. Business sustainability was analysed with Multi dimensional Scaling (MDS) method. Stock prediction model showed that catching business in Southeast Maluku District was still below sustainable maximum level. Added value analysis showed that the added value was very low. Analysis on agro industry performance showed that financial perspective has greatest achievement performance index. Sustainability model used three dimensional aspects, i.e. ecological, social, and economic. Evaluation result showed that values of all the three dimensions were still at less sustainable level.