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The purpose of this paper is to evaluate the compliance status of prerequisite programs (PRPs) and to determine the feasibility of hazard analysis and critical control point (HACCP) program in restaurants in different cities of Iran.

In total, 58 great chain restaurants were assessed randomly by observation, interview and questionnaires. The main prerequisites for HACCP implementation in questionnaires were as follows: personal hygiene of employees, rinsing, disinfection and cleaning programs, area and location of the restaurant, design and layout of the tools, building facilities, interior environment of the building, environmental hygiene, storerooms, cold storage, refrigerators and documentation.

Only 17 percent (10) of restaurants were generally assessed in a proper level of compliance and 95 percent (55) of them had not any documentation about hygienic practices. Also, the status of storerooms, cold storage and refrigerators was improper. Although, according to the area and location, the feasibility of HACCP program in the evaluated restaurants was in the highest level.

All of evaluated chain restaurants provided large amounts of food for customers each day and they had relatively more facilities and money resources for the implementation of PRPs. Hence, the findings of this research can be applicable for small and independent restaurants and other food service establishments.

This study aims to minimize the cost and time of blood delivery in the whole blood supply chain network (BSCN) in disaster conditions. In other words, integrating all strategic, tactical and operational decisions of three levels of blood collection, processing and distribution leads to satisfying the demand at the right time.

This paper proposes an integrated BSCN in disaster conditions to consider four categories of facilities, including temporary blood collection centers, field hospitals, main blood processing centers and medical centers, to optimize demand response time appropriately. The proposed model applies the location of all permanent and emergency facilities in three levels: blood collection, processing and distribution. Other essential decisions, including multipurpose facilities, emergency transportation, inventory and allocation, were also used in the model. The LP metric method is applied to solve the proposed bi-objective mathematical model for the BSCN.

The findings show that this model clarifies its efficiency in the total cost and blood delivery time reduction, which results in a low carbon transmission of the blood supply chain.

The researchers proposed an integrated BSCN in disaster conditions to minimize the cost and time of blood delivery. They considered multipurpose capabilities for facilities (e.g. field hospitals are responsible for the three purposes of blood collection, processing and distribution), and so locating permanent and emergency facilities at three levels of blood collection, processing and distribution, support facilities, emergency transportation and traffic on the route with pollution were used to present a new model.

This paper aims to optimize the configuration of assembly lines (ALs) considering the two long-term decision problems within the line balancing and part feeding (PF) contexts, when the supermarket concept is applied in PF.

To this purpose, a bi-level mathematical model is proposed to deal with the assembly line balancing problem (ALBP) and supermarket location problem (SLP) during the strategic decision-making phase of ALs’ configuration. The proposed model is applied on the known test problems taken from the ALBP literature to verify its performance.

The computational results verify that when the proposed structure is applied, the resulting AL configurations are optimized from both ALBP and SLP considerations in terms of the number of stations and line efficiency as well as supermarket transportation and installation costs.

No study has yet dealt with the long-term decision problem of configuring ALs considering both ALBP and SLP. Also, this study validates the effect of the ALBP on the SLP solutions as two long-term interrelated decision problems.