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In this paper, multi-period location–inventory–routing problem (LIRP) considering different vehicles with various capacities has been investigated for the supply chain of red meat. The purpose of this paper is to reduce variable and fixed costs of transportation and production, holding costs of red meat, costs of meeting livestock needs and refrigerator rents.

The considered supply chain network includes five echelons. Demand considered for each customer is approximated as deterministic using historical data. The modeling is performed on a real case. The presented model is a linear mixed-integer programming model. The considered model is solved using general algebraic modeling system (GAMS) software for data set of the real case.

A real-world case is solved using the proposed method. The obtained results have shown a reduction of 4.20 per cent in final price of red meat. Also, it was observed that if the time periods changed from month to week, the final cost of meat per kilogram would increase by 43.26 per cent.

This paper presents a five-echelon LIRP for the meat supply chain in which vehicles are considered heterogeneous. To evaluate the capability of the presented model, a real case is solved in Iran and its results are compared with the real conditions of a firm, and the rate of improvement is presented. Finally, the impact of the changed time period on the results of the solution is examined.

Recent advancements of 3D printing technology have brought forward the interest for this technique in many engineering fields. This study aims to focus on mechanical properties of the polylactic acid (PLA) feeding material under different thermal conditions for a typical fusion deposition of 3D printer system.

Specimens were tested under static loading within the range 20ºC to 60ºC considering different infill orientations. The combined effect of temperature and filament orientation is investigated in terms of constitutive material parameters and final failure mechanisms. The difference between feeding system before and post-3D printing was also assessed by mechanical test on feeding filament to verify the thermal profile during the deposition phase.

The results in terms of Young’s modulus, ultimate tensile strength (UTS), strain at failure (εf) and stress at failure (σf) are presented and discussed to study the influence of process settings over the final deposited material. Fracture surfaces have been investigated using an optical microscope to link the phenomenological interpretation of the failure with the micro-mechanical behaviour. Experimental results show a strong correlation between stiffness and strength with the infill orientation and the temperature values. Moreover, a relevant effect is related to deformed geometry of the filament approaching glass transition region of the polymer according to the deposition orientation.

The developed method can be applied to optimise the stiffness and strength of any 3D-printed composite according to the infill orientation.

To avoid the failure of specimens outside the gauge length, a previously proposed modification to the geometry was adopted. The geometry has a parabolic profile with a curvature of 1,000 mm tangent to the middle part of the specimen.

Several authors have reported the stiffness and strength of 3D-printed parts under static and ambient temperature for different build parameters. However, there is a lack of literature on the combination of the latter with the temperature effects on the mechanical properties which this paper covers.

The pay-as-you-go approach to data integration aims to reduce the time and effort required by proposing a bootstrap phase in which algorithms, rather than experts, identify semantic correspondences and generate the mappings. This highly automated bootstrap phase is likely to be of low quality, thus pay-as-you-go approaches postulate a subsequent continuous improvement phase based on user feedback assimilation to improve the quality of the integration. The purpose of this paper is to quantify the quality of a speculative integration, using one particular type of feedback, mapping results, whilst taking into account the uncertainty of user feedback provided.

The authors propose a systematic approach to quantify the quality of an integration as a conditional probability given the trustworthiness of the workers. Given a set of mappings and a set of workers of unknown trustworthiness, feedback instances are collected in the extents of the mappings that characterize the integration. Taking into account the available evidence obtained from worker feedback, the technique provides a quality quantification of the speculative integration.

Experimental results on both synthetic and real-world scenarios provide valuable empirical evidence that the technique produces a cost-effective quantification of integration quality that faithfully reflects the judgement of the workers whilst taking into account the inherent uncertainty of user feedback.

Current pay-as-you-go techniques provide a limited view of the integration quality as the result of feedback assimilation. To the best of the authors’ knowledge, this is the first proposal for quantifying integration quality in a systematic and principled manner using mapping results as a piece of evidence while at the same time considering the uncertainty inherited from user feedback.

The purpose of this paper is to describe a proposed framework for traceability purpose. Hence, the framework provides a formal and structured way of viewing a traceability solution. This structure lays the required bases for a traceability system before starting development and deployment.

The paper examines several traceability publications, including systems and literature review. The study covers the traceability implementation phase. Therefore, this research approaches the traceability issue from three perspectives (description, engineering and executive one). The separation between aspects is essential when describing and comparing traceability systems. This distinction is also helpful when recommending solution improvements.

The framework identifies six traceability bases: aims, functions, specifications, data classification, processes and procedures. These can establish a basis for a general purpose tool that can enable users to develop an efficient traceability solution. Thus, the first ontology expresses the framework domain and ensures optimal use of it. The second one represents the bases that can serve as a knowledge base to manage the product data.

The suggested framework tackles the implementation of traceability. Therefore, the design emphasizes the importance of technological concerns. Some studied cases could require more research angles (i.e. economic and legislative). Thus, framework enrichment is essential for further improvements.

The framework helps users to develop a general, interoperable and scalable traceability solution. These are important to promote the generalization of traceability systems.

The framework fulfills a requirement for establishing general traceability foundations. Therefore, the guide independently operates of the product or the industry specificity. Moreover, the bases aim to bridge the gap between solution engineering and traceability requirements.

The purpose of this paper is to explore the teenager perspectives of the meaning of food safety, and the implications of those meanings.

Five focus groups were conducted with students (aged 12–14) from Calgary, AB. Participants were asked what food safety means to them and probed about their views on the relationship between food safety and packaged foods. Grounded theorizing informed the analysis.

Food safety was described as located within the system, located within the individual and located within the edible. Key to these teenagers’ understanding of food safety is the theme of food deception – a deception promulgated by food producers, manufacturers and advertisers who lack transparency about what they are actually selling. Teenagers draw attention to the risks associated with living in an industrialized food environment, and to the tension between safety and the industry-driven motive to sell.

Individuals start to make independent decisions around food preparation and consumption as teenagers; as present and future consumers, it is valuable to learn their perspectives and knowledge about food safety. More importantly, food safety is not only simply a health-related issue but also a semantic one. This study moves beyond the knowledge deficit approach characterizing most research on the topic. Instead, it probes the range of meanings associated with food safety and how they are worked out, revealing that the teenagers’ construction of food as “risk objects” reveals different links to harm than the food safety interventions typically directed to them.

This paper aims to focus on the design of algorithms and techniques for an effective set expansion. A tool that finds and extracts candidate sets of tuples from the World Wide Web was designed and implemented. For instance, when a given user provides <Indonesia, Jakarta, Indonesian Rupiah>, <China, Beijing, Yuan Renminbi>, <Canada, Ottawa, Canadian Dollar> as seeds, our system returns tuples composed of countries with their corresponding capital cities and currency names constructed from content extracted from Web pages retrieved.

The seeds are used to query a search engine and to retrieve relevant Web pages. The seeds are also used to infer wrappers from the retrieved pages. The wrappers, in turn, are used to extract candidates. The Web pages, wrappers, seeds and candidates, as well as their relationships, are vertices and edges of a heterogeneous graph. Several options for ranking candidates from PageRank to truth finding algorithms were evaluated and compared. Remarkably, all vertices are ranked, thus providing an integrated approach to not only answer direct set expansion questions but also find the most relevant pages to expand a given set of seeds.

The experimental results show that leveraging the truth finding algorithm can indeed improve the level of confidence in the extracted candidates and the sources.

Current approaches on set expansion mostly support sets of atomic data expansion. This idea can be extended to the sets of tuples and extract relation instances from the Web given a handful set of tuple seeds. A truth finding algorithm is also incorporated into the approach and it is shown that it can improve the confidence level in the ranking of both candidates and sources in set of tuples expansion.

More than 50 per cent of all German households own a freezing appliance and so far the market of frozen foods is constantly increasing (1 per cent from 2017 to 2018). Despite frozen foods playing an important role in our everyday life, little is known about the consumer’s habits at home. The purpose of this paper is to uncover gaps in the knowledge about consumer behaviour when handling frozen food. Moreover, the impact of consumers on the quality of frozen products should be assessed.

A representative online survey was carried out to investigate different aspects of consumer behaviour concerning frozen foods. Respondents (n=2,053) were questioned about their general handling habits regarding eight different food groups: fruit, vegetables, meat, fish, bread, pastries, ready-to-eat meals and leftovers. The focus was on freezing, pre-handling, packaging and thawing – depending on the age of those questioned and combined with best practice advice regarding quality storage of frozen products.

Most Germans have the opportunity to freeze food and keep their freezers full or medium loaded. Older participants act more efficiently towards quality storage, but more education about freezing and frozen storage would be generally helpful to maintain quality of frozen foods and increase utilisation of freezers, using their full preservation potential.

No open questions were asked due to the scope of more than 2,000 participants, which, in retrospect, would have been instructive.

Consumer handling of frozen food in Germany was investigated in a representative way for the first time, covering age groups from 18 to 69 and household sizes from 1 to >4 people, focussing on eight major food groups.

The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be useful for academia and industrial practitioners in the future.

A systematical and hierarchical framework is proposed in this paper to review the literature. Categorizations and classifications are identified to organize this paper.

This paper reviews total 192 articles related to the data-driven systems for FSCM. Currently, there is a dramatic increase of research papers related to this topic. Looking at the general interests on FSCM, research on this topic can be expected to increase in the future.

This paper only selected limited number of papers which are published in leading journals or with high citations. For simplicity without generality, key findings and observations are significant from this research.

Some ideas from this paper could be expanded into other possible domains so that involved parties are able to be inspired for enriching the FSCM. Future implementations are useful for practitioners to conduct IT-based solutions for FSCM.

As the increasing of digital devices in FSCM, large number of data will be used for decision-makings. Data-driven systems for FSCM will be the future for a more sustainable food supply chain.

This is the first attempt to provide a comprehensive review on FSCM from the view of data-driven IT systems.

A network of partners helps and assists a crowdfunding platform (CFP) in scouting, assessing and selecting projects. This cooperation increases the number of successful projects by attracting a sizable number of investors, proponents and attracting marginal investors when a campaign falls short of the threshold for success. This study examines the role of partner networks in a platform ecosystem, specifically in terms of number of different partners and their diversity in the performance of the crowdfunding campaign.

Using logistic and linear regressions, we analyze a sample of 233 projects, both funded and not funded, launched by 10 Italian equity CFPs between 2014 and 2018.

Our findings indicate that the variety of partners in a platform's network influence the probability of campaign success and how much capital the proponent company raises. CFPs are resource-constrained new ventures, and a network with a wider variety of partners ensures the strategic resources and competencies that are required in an early stage market, thus facilitating campaign funding.

The variety of partner networks could help CFPs to offer unique and strategic value propositions and define the competitive positioning of platforms.

This study provides a deeper understanding of the determinants of equity crowdfunding campaign performance by emphasizing the role of CFP's network of partners on the entire crowdfunding ecosystem and its underlying organizational elements.

A quantitative investigation of a dipping technique for depositing a thin layer of resist on circularly symmetrical objects is presented. The results obtained are valuable for preparing three‐dimensional (3‐D) surfaces suited for spatial microlithographic processes in the 1 to 10 µm linewidth range.