Purpose: Researchers have been actively investigating various issues concerning food safety and halal food in the supply chain. The ultimate goal is to provide guarantees for quality and conformance regarding food standards and demanding expectation from the consumers. We review a set of two-decade food safety and halal food in supply chain (SC) literature from 1990 to 2018 (month of February) in order to pinpoint the problems, models, solution approaches and more importantly, the future directions of this field. Design/methodology/approach: Our method employs the 120 published articles on food safety and halal food in SC research. Various techniques from statistics, bibliometrics, and analytics are systematically deployed to gain insights on how the literature address these two topics.Findings: The predominant contributing articles, authors, affiliations, and keywords have been reviewed, clustered, and thoroughly analyzed. Through systematic graphical and clustering analyses, four major clusters regarding food safety and two clusters in halal food in SC research have been identified as the most promising and potential future for research opportunities.Research limitations/implications: This study focuses on articles that discuss food safety and halal.Practical implications: Our findings provide valuable insights to understand the major clusters of the research endeavour along with the plausible pathways to where they would likely develop in the future. With these insights, researchers and practitioners shall be able to devise initiatives that are of high relevance and significance in the near future.Social implications: This research provides an understanding to the reader about the relationship between food safety and halal.Originality/value: This paper provides the first systematic overview of food safety and halal food for supply chain researchers to see the big picture of the field. Serving as the thread connecting research endeavour in these two research areas, our novel work highlights how the work is connected, which research clusters have been the center-of-attention during the last two decades, and consequently, which areas are still lacking an investigation. We believe that people in both academia and industry who are keen to develop a rigorous solution to ensuring food safety and food halal-ness to satisfy global market requirement will be benefitting the most from our analysis.

This study aims to comprehensively identify risks to food safety and halal status in food manufacturing processes. The research was conducted through risk identification, data collection, Bayesian Network (BN) structure, decision analysis, and mitigation programs. The results showed that there were 19 integrated risks to food safety and halal. Twelve risks were due to food safety and seven risks were due to halal status. Overall, risks identified were described through the BN structure, which consists of four levels, as a basis for determining risk opportunity values. The results of BN decision analysis show that the highest integrated risk to food safety and halal each level. The risk of chickens dying when stunning is the highest risks in level 1 and cleaning and chilling department in level 2. The partially integrated risks for level 3 and total integrated risks in level 4 has a chance of contamination. Due is the results, the analysis and decision analysis is to reject or rework.

The main activities in a remanufacturing system includes core acquisitions, remanufacturing operations, and remarketing. Core acquisitions are challenging for remanufacturers because remanufacturing in closed-loop supply chains is characterized by uncertainty in quality, timing and volume. The uncertainty is generally defined as incomplete or incomplete information. Sorting of quality incoming products in the remanufacturing system is a complex problem. On account of all quality conditions can be related either directly or indirectly, making it difficult to define certain conditions individually. Considering that the acquisition process involves many conflicting assessment criteria and subjective-qualitative considerations, an integrated method is needed to prioritize criteria selected. Therefore, this study makes a major contribution to research on multi-criteria sorting problem by developing a new hybrid method. This study focuses on development of a multi-criteria quality sorting model in the remanufacturing system based on a hybrid approach, namely Decision Making Trial Evaluation and Laboratory (DEMATEL) Analytical Network Process (ANP) and Grey Clustering. The DEMATEL approach is proposed to evaluate and to develop the dependency of criteria, and ANP method is utilized for weighting the criteria as well as Grey Clustering is proposed for modelling of uncertainty issues. The model was successful as it was able to identify the most important criteria which proposed. This work has found that maintenance history is the most important attribute in assessing the quality of incoming cores. This finding has important implication for selecting the best maintenance strategy of heavy-duty equipment during the use phase.

Remanufacturing is a key pillar of a circular economy and helps in recovering used products by extending their life cycle via remanufacturing them into new products. A vital aspect in a remanufacturing system is the quality assessment of incoming worn-out products (cores) prior to remanufacturing to ensure that non-conforming cores are discarded at an early stage in order to avoid unnecessary processing. Therefore, quality sorting plays an important role in core acquisition for remanufacturing systems when attempting to mitigate uncertain incoming core quality as an immediate solution. The main problem is that it is difficult to acquire the important information required to decide on the sorting of incoming cores, such as the core quality. The data are also commonly limited, not always available, or inaccurate. Grey systems are powerful methods in decision making when handling uncertainty with small data. In this paper, we consider the usefulness of grey systems for handling uncertain quality information for sorting incoming cores in a remanufacturing system. For this reason, we propose a multi-criteria quality sorting model based on an analytical hierarchy process (AHP)-entropy model that is coupled with grey clustering using possibility functions. The quality criteria for sorting the incoming cores are considered according to the technological, physical, and usage conditions. To demonstrate the practical contribution of this research, a case study of the quality sorting problem with a heavy-duty equipment remanufacturer is presented. The proposed model consistently classifies the quality of used hydraulic cylinders into two grey classes.

Increased manufacturing activity has an impact on environmental quality degradation. Waste generated from manufacturing activities is one of the causes. Previous studies have referred to this waste as value uncaptured. Minimizing value uncaptured is a solution to improve environmental quality. This study aims to reduce value uncaptured by converting it into value captured. This process requires a value proposition design approach because of its advantages. One of the advantages of this approach is that it can improve existing or future products/services. To do so, this research uses a case study of a furniture company. To implement a converting process, a sustainable business model is proposed to solve this problem. This business model combines several methods: value proposition design, house of value and the product sustainability index matrix. Recently, the existing value proposition problem-solving has been using the value proposition design method. This research proposed implementing a house of value to replace the fitting process. The questionnaire is developed to obtain various value uncaptured in the company. To the weight of the value uncaptured, this research utilized the pairwise comparison method. Then, the weights could represent the importance of jobs. Based on the highest weight of these jobs, the alternative gains would be selected. To provide the weight of the gain creators and value captured, the house of value method is developed. Referring to three pillars of sustainability, the value captured should be considered. This research proposed implementing a product sustainability index which in turn produces eco-friendly products. This study produces “eco-friendly products” as sustainability value captured. The sustainability business model could be an alternative policy to minimize the existence of value uncaptured.

Water treatment plant (WTP) system which is oriented to knowledge, limited production operator, and improvised WTP equipment triggers risks. Risk is everything that hinders the achievement of a goal, where one of the goals of the WTP is to produce quality drinking water in terms of the production process. But in the production process, problems often occur such as pump damage, mixer damage and so on. The purpose of this research is to identify the causes of the risk of water quality failure using FTA and DEMATEL and the end result of which will be a risk mitigation strategy. Risk mitigation is a way to reduce the possibility of risk occurrence. Fault Tree Analysis (FTA) together with the Decision Making Trial and Evaluation Laboratory (DEMATEL) is used in identifying the risk of causality from the top to down and from the left to right. Risk assessment will use likelihood and consequence parameters consisting of 5 risks namely deteriorating water source quality, damage to mechanical components, operational errors, failure of quality control, and improper materials. Each of the five operational risks is sought from the top to down or vertically then the risk map is determined using the FTA, and 5 risk level groups that have a risk relationship from left to right horizontally by using DEMATEL. Based on a risk assessment, a risk mitigation strategy was formed in view of losses that could endanger the WTP. The results of the identification resulted in 2 risks included in high risk and 3 others are medium risk. The results of the risk classification have the potential for large losses and have a relationship between the risks. As for the risk mitigation strategy proposed one of them in terms of human resources (HR) is the performance of HR in the WTP must be improved such as implementing a "employee of the month" program, while from a technical perspective one of them is routinely monitoring good and true water quality analysis methods of raw and production water. This study also found a novelty side, namely the integration of the FTA and DEMATEL models which were proven to solve the problem.