Abstract

Sustainable food supply chain is required to mitigate supply chain risks, reinforce long-term supplier relationships and build stakeholder and customer trusts. It has a significant role in social welfare, political stability, and economic growth. In this research, we treated beef as a commodity, based on consideration that the demand of this commodity continues to increase in line with population growth and the needs of processed food industries. On the other hand, the supply of this commodity tends to decline. Currently beef production in Indonesia covers only about 60% of the need, i.e. the rest is imported. The beef supply chain is too long, and the demand surges during Eid festivities causing shortages of beef in the market. There is a need to design a program that is strategic and systematic to anticipate shortages of beef production as importing beef product is unable to resolve the issue. One of the problem-solving efforts that can be done is to improve supply chain management. There is a need to plan, build, and integrate aspects of “production-distribution-consumption” at the national level by identifying the stakeholders including regions and distribution channels. By considering the aforementioned problems, the beef supply chain can be improved with the support of simulation model to assess the existing system and to develop some scenarios to improve the system performance. We utilized system dynamics model to accommodate several key variables or parameters that have significant contribution to strategic sustainable development of food supply chain, such as changes and uncertainties in supply (caused by climate change), demand, distribution, as well as internal and external business factors. The research results show that national demand can be fulfilled through several strategic initiatives.

Original languageEnglish
Pages (from-to)169-177
Number of pages9
JournalJurnal Teknologi
Volume78
Issue number9
DOIs
Publication statusPublished - 2016

Keywords

  • Beef supply chain
  • Demand
  • Productivity
  • Scenario
  • System dynamics

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