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This paper aims to optimize the halal product distribution by minimizing the transportation cost while ensuring halal integrity of the product. The problem is considered as a capacitated vehicle routing problem (CVRP), based on the assumption that two different types of vehicles are used for distribution: vehicles dedicated for halal product distribution and vehicles dedicated for nonhalal products distribution. The problem is modeled as an integer linear program (ILP), termed CVRP-halal and nonhalal products distribution (CVRP-HNPD). It is solved using tabu-search (TS)-based algorithm and is suitable for application to real-life sized halal product distribution.

Two approaches are used in solving the problem: exact approach (integer-linear program) and approximate approach (TS). First, the problem is modeled as ILP and solved using CPLEX Solver. To solve life-sized problems, a TS-based algorithm is developed and run using MATLAB.

The experiments on numerical data and life-sized instances validate the proposed model and algorithm and show that cost-minimizing routes for HNPD are developed while ensuring the halal integrity of the products.

The proposed model and algorithm are suitable as decision support tools for managers responsible for distribution of halal products as they facilitate the development of minimum cost distribution routes for halal and nonhalal products while maintaining the integrity of halal products. The model and algorithm provide a low transportation cost strategy at the operational level of halal products distribution while fulfilling the halal logistics requirement.

To the best of the author’s knowledge, this is the first study that specifically deals with the CVRP of halal products distribution by proposing CVRP-HNPD model and TS-CVRP-HNPD algorithm. The proposed model and algorithm ensure the integrity of halal products along the distribution chain, from the warehouse (distribution center) to the retailer, while achieving lowest transportation cost.

This paper aims to measure and analyze the halal awareness of Indonesian consumers toward halal products. This paper also measures the religious belief, health reason, halal logo certification and exposures of Indonesian consumers and tests the correlation between those and halal awareness. The finding can be used as reference for government and halal policymakers related with halal product.

The research is performed using self-administrated questionnaires and convenience sampling. The questionnaires were distributed for Muslim respondents in Indonesia, male and female, aged 18 up to 60 years old. The data are statistically analyzed by Cronbach’s alpha and Pearson correlation test using SPSS 16.0.

The study found that halal awareness of Indonesian consumers is very good (very high) with index of 94.91. The halal awareness is supported with very high index of religious belief (96.61), health reason (89.83) and logo certification (84.71), and good index of exposures (78.72). The study also shows that religious belief becomes the most factor that influence the Indonesian halal awareness, followed by health reason then logo certification, while exposure is the least factor influencing the halal awareness.

This research is one of few studies in Indonesian context which is investigating and measuring the index of halal awareness of Indonesian consumers. The study also provided new findings of Indonesian halal awareness influence factors (religious beliefs, health reason, logo certification and exposure); its index and its correlation to the halal awareness level. The result of the study is quite different with other halal awareness studies. Therefore, this paper becomes one of the pioneer for study in the context of Indonesian halal awareness analysis.

This study aims to identify the risks, the risk agents, and the mitigation steps and then propose a halal supply chain risk management framework for frozen food halal industries, especially for the milkfish brain product.

Following the quantitative research design, semi-interviews with the owner of the milkfish brain company and data were analyzed using the supply chain operations reference model and the House of Risk method. The development of halal supply chain risk management framework involves several phases. First, to map the supply chain activities. Next is identifying the risk and risk agent. Then measurements of mitigations are based on the company’s resources that have a profound effect on risks such as employee activity, machinery and work environment.

The findings in this study are the prioritized mitigations for the frozen food companies, especially the milkfish brain products, are training of good manufacturing practice, making and applying halal standard operating procedure, the creation of clean-up watch schedules, halal use of raw materials and additional materials, and additional purses and facility.

This study may further use various perspectives in supply chains such as suppliers, distributors, agents and consumers.

The risks, risk agents, and mitigation steps are used to develop a general framework for halal supply chain risk management which can be used by all frozen food companies, especially for milkfish brain products.

This study is one of few studies about halal supply chain risk management for frozen food industries. The study contributes to the effort of halal supply chain risk management by proposing general framework for milkfish brain halal supply chain risk management. The risks, risk agents and mitigation efforts are established based on impact and intensity that affect risk occurrence.