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The authors propose a dairy bundle, integrating strategies to jointly maximise producer revenue and consumer utility according to the latter's preferences.

An algorithm based on a nested logit model identifies the bundle maximising producer revenue based on factors affecting consumer purchase behaviour. The data are drawn from a mall-intercept survey administered in Iran, with consumers stating a hypothetical choice among a comprehensive set of dairy products.

Demographic characteristics and marketing mix elements significantly affect consumers' preferences. An algorithm based on the estimated dissimilarity parameter determines the best bundle of dairy products, simultaneously obtaining the highest utility and the highest expected revenue.

Consumer preference and maximum producer or retail seller income are considered simultaneously. The bundling promotion strategy is widely used for food offerings and fresh foods and can be extended to other products.

我們擬根據消費者偏好，提出一個整合了多個策略的捆綁包，以使生產製作者得到最高的收入和最佳的消費者效用。

研究人員根據巢式Logit 模型的演算法確認了一個捆綁包，以使生產製作者能得到最高的收入，而這均建基於會影響消費者購買行為的各個因素。有關的數據取自於伊朗的商場內進行的攔截調查，而回應的消費者須假想他們從一整套乳製品中選擇他們會購買的產品。

研究結果顯示，人口特徵和市場營銷組合元素均會顯著地影響消費者的偏好，一個基於估算的相異性參數而建立的演算法可確認最佳的乳製品捆綁包，這演算法同時也可取得最佳的裨益和最高的預期收入。

於本研究中，研究人員同時考慮消費者的偏好和生產製作者或零售賣家的最高收入。捆綁式的促銷策略在食物供品和新鮮食品方面被廣泛使用，這策略可擴展至其他產品。

乳製品捆綁包、消費者偏好、最佳化演算法、巢式Logit 模型.

The purpose of this paper was to determine the profile of dairy product consumers in the organic market.

The study was based on a survey questionnaire developed by the author and administered to a total of 1,108 respondents. The statistical analysis (including descriptive statistics, the analysis of the discriminative function and the Chi2 test was performed with the use of Statistica 13.1 PL. The respondents’ gender was the factor behind the differences in how they behaved.

The consumers indicated the channels they rely upon to find information on organic dairy products; in addition to trusting the opinions of their family members and experts, they also use web platforms. Further, they specified their preferred locations for buying favorite products during the pandemic: specialized organic food shops, large distribution chains and online stores.

These outcomes will help in identifying target consumer segments and information channels for specific information and advertising messages. They also form an important resource for developing some potential strategies which the supply chain stakeholders could implement to promote organic consumption of dairy products.

This study identifies consumers’ preferred dairy products; motives for purchasing organic dairy products; barriers that consumers believe exist in the market; sources of knowledge about products purchased by consumers; and consumers’ preferred channels for purchasing organic dairy products. To the best of the author’s knowledge, this is the first study of dairy product consumers in the organic market in Poland.

This case describes the challenges faced by Amul in organising dairy farmers into a co-operative and creating continuous opportunities for value addition. Participants in the case discussion are required to review the developments in the organisation and recommend a strategy for the future.

The purpose of this paper is to examine how individual’s health beliefs, nutrition knowledge (NK) and attitudes towards food technologies play a role in the anti-consumption of dairy products or the consumption of dairy alternatives.

Self-reported data concerning the consumption of milk, yogurt and dairy products in general were collected online among 1,705 adults in Canada. Also included in the survey instrument were measures of NK and health beliefs as well as questions from the food technology neophobia scale. Anti-consumption of milk, yogurt and dairy as well as alternative dairy consumption as a function of these characteristics, in addition to demographic characteristics, is analysed using probit models.

Individuals who demonstrate resistance to innovations in food technology, those with lower levels of dairy-specific NK, and people who have less belief that dairy avoidance will have negative impacts on their health are more likely to be anti-consumers of milk and/or yogurt. The same is true for dairy products in general with the exception that people with higher levels of dairy-specific NK are more likely to be anti-consumers of dairy products in general.

Inadequate intake of calcium and vitamin D has negative consequences for long-term health. Given that dairy products are the primary source of these nutrients in the Canadian diet, it is important to understand the reasons behind dairy anti-consumption so that appropriate policy measures can be taken to address potential public health issues.

The dairy industry needs to make important decisions regarding its supply chain. In a context with many available suppliers, deciding which of them will be part of the supply chain and deciding when to buy raw milk is key to the supply chain performance. This study aims to propose a mathematical model to support milk supply decisions. In addition to determining which producers should be chosen as suppliers, the model decides on a milk pickup schedule over a planning horizon. The model addresses production decisions, inventory, setup and the use of by-products generated in the raw milk processing.

The model was formulated using mixed integer linear programming, tested with randomly generated instances of various sizes and solved using the Gurobi Solver. Instances were generated using parameters obtained from a company that manufactures dairy products to test the model in a more realistic scenario.

The results show that the proposed model can be solved with real-world sized instances in short computational times and yielding high quality results. Hence, companies can adopt this model to reduce transportation, production and inventory costs by supporting decision making throughout their supply chains.

The novelty of the proposed model stems from the ability to integrate milk pickup and production planning of dairy products, thus being more comprehensive than the models currently available in the literature. Additionally, the model also considers by-products, which can be used as inputs for other products.

The purpose of this paper is to review the growth and regional disparities of China's dairy market since 1980, examine urban consumer demand for three major dairy products (fluid milk, yogurt, and milk powder), analyze China's import patterns of major dairy products since 1995, and discuss China's potential roles in the world dairy market and implications for trade.

While the most recently available time‐series and cross‐sectional data from China are used to analyze the trends and disparities of China's milk production and dairy product consumption through graphical and regression analyses, China's custom data from 1995 to 2008 are used to examine the trends and patterns of China's dairy product imports.

China's dairy market has expanded rapidly in the past two decades but there are significant disparities across regions and income groups. The estimated income elasticities suggest that, as per capita income continues to increase, the demand for dairy products, especially yogurt and fluid milk, is expected to grow at a significant rate. The import trend and pattern analysis indicates that China's dairy imports will likely continue to grow and provide opportunities for major dairy product exporters like the USA, New Zealand, and Australia.

The paper contributes to the literature by examining the trends and disparities of China's dairy market using the most recently available data, presenting an estimation of demand elasticities for fluid milk, yogurt, and milk powder in urban China, and discussing the future prospects of China's dairy imports and implications for trade.

Dairy products are an essential part of a healthy diet, and dairy is an emerging food industry in China. Meanwhile, the dairy industry is one of the “disaster zones” with quality and safety issues occurring more frequently in its supply chain than in others. Based on qualitative research focused on consumers in the Northwest and South of China, the present study aims to understand and provide information on consumer perception of food safety in dairy products.

Nine focus group interviews were carried out from January to April 2018. Altogether, 61 participants (24 males, 37 females, aged 18–60 years) were recruited in four cities. Qualitative content analysis of the data was conducted using Nvivo version 11.4.0.

A high concern with the safety of dairy products is widespread, particularly among participants with children, who are especially worried about the safety of dairy products. High prevalence of food safety incidents causes consumers to lower their confidence in food safety, and make them pay more attention to the news about food safety incidents. Consumers tend to become less sensitive to price, focusing more on food safety and quality, while purchasing dairy products. Brand and purchase venue are the most important indicators for consumers to determine the quality of dairy products. Safety certification becomes increasingly important.

It has some limitations. The focus group interviews covered different two regions (Northwest and South of China). However, the number of focus groups was limited to nine because of budget constraints. The participants come from Northwest and South of the country, which means that the findings may not apply for another area of the country. A more representative sampling with a larger sample size would be necessary to increase the validity of the study. However, the results can serve as input for further research.

This paper explores the Chinese consumers' perception of food safety and dairy products, consumers' behaviour concerning dairy products based on focus group interviews with consumers. This study offers valuable insights to members of academia, food suppliers and policy-makers.

The purpose of this paper is to develop a model for the production planning decision of a dairy plant in a multi-product setting under supply disruption risk and demand uncertainty while determining the optimal product-mix and material planning requirement.

A mixed-integer nonlinear programming model is proposed to determine the optimal product-mix that maximizes the expected profit of a dairy. The data are collected through visits to the dairy site, conducting brainstorming sessions with the plant manager and marketing head at the corporate office. Disruption data are collected from the India Meteorological Department, Odisha.

From the analysis, it is recommended that the dairy should not produce curd during the planning period. Moreover, turnover from toned, double toned and baby food is maximum than that of the curd and these products are produced in the planning period. The expected profit increases from its present value when an optimal product-mix is followed. Sensitivity analysis is performed to analyze the effect of demand uncertainty, supply disruption and production quota. The expected profit decreases as the supply failure probability increases.

The model is implemented in a dairy plant under Orissa State Cooperative Milk Producers Federation, Odisha, India. The proposed methodology has not been validated, theoretically. The concerned dairy is based on the Indian context, but the authors believe that the study is highly relevant to other dairies as well.

This study provides a methodology for dairy plant managers to plan production effectively under supply disruption risk with demand uncertainty. It also suggests material requirement planning at different factories of the dairy plant.

This paper develops a mathematical model for the production planning decision of a dairy plant that determines the optimal product-mix, which maximizes the expected profit of a dairy under disruption risk and demand uncertainty (in the Indian context).

Functional dairy products market has been growing steadily in Iran. Awareness and perception related to these products has an important role in consumers’ acceptance and subsequently long-term marketplace success of these products. The purpose of this paper is to fill the knowledge gap in this regard, study conducted in Iran.

The theory of social marketing served as the framework of the study. Qualitative data were collected via eight semi-structured focus group discussions (FGDs), between May and September 2014. Participants were 65 women (44 housewives and 21 employed women), aged 23-68 years, selected by purposive sampling, with a maximum diversity. All FGDs were audio recorded and transcribed verbatim. Qualitative content analysis of the data was conducted by MAXQDA®.

Almost all participants were unfamiliar with the term “functional dairy products,” although, some of them had consumed these products. Apart from perceiving the functional dairy products as unnecessary by some participants, some women did not trust in health claims of these products for various reasons such as distrust in food manufacturers, exposure to contradictory information, and fear of unforeseen and dangerous side effects due to taking them. The participants agreed on the need for more information from a trusted and credible source such as health professionals or authorities through different communication channels like television, training classes, shopping center, and so on.

This study provides a unique insight into consumers’ awareness and perceptions concerning functional dairy products in Iran. To the best of the knowledge, this study is the first study in this regard in Iran. Given the novelty of these products in the market, the findings could provide information for the dairy industry to expand its market and improve its profitability and reliability, as well as public health sector to design and implement intervention programs to promote functional dairy products consumption in the population.

The purpose of this paper was to establish the contribution of value chain and productivity to trade performance in the dairy industry using evidence from Uganda.

This study research design is cross-sectional and correlational. Data were collected through a questionnaire survey of 108 dairy farmers, processors and exporters. Data were analysed through correlation coefficients and linear regression using Statistical Package for Social Sciences.

Hierarchical regression results indicate that value chain and productivity contribute significantly to variances in trade performance of dairy products. Therefore, appropriate value chain processes and high levels of productivity lead to increased trade performance in the dairy industry.

This study focusses on trade performance of dairy products in Uganda. These research findings are useful for informing the deliberations of academicians, regulators and the business community. The results are applicable to all countries that carry out trade specifically in dairy products.

The results are important for trade policy development in the dairy industry. For example, this study informs farmers, processors and exporters of dairy products how value chain activities in dairy farming can be re-aligned to achieve better quality and productivity for exportation. Similarly, the current study provides policy guidance for the relevant ministries such as ministry of trade and other players to come up with holistic policy actions aimed at improving the trade performance of dairy products in the country.

To the researchers' knowledge, this is the first study that provides an initial empirical evidence on the contribution of value chain and productivity on trade performance of dairy products in Uganda.