Search results

Primary and secondary data.

This case is set in the year 1987 when many parts in India were milk deficient. Seasonal and cyclical shortages were more of a norm. There were however early signals that the cooperative dairying model across the country was gaining momentum and the milk production in the country was poised for a sharp upswing.

Masuum baby food is a winning brand in Shalanda Milk Foods portfolio with a top-line revenue of Rs 300m per annum, contributing to 60% of the firm’s revenue and registering a healthy 14% annual growth.

The brand was used as an additive for tea and coffee, a purpose for which it was not intended, apart from it being used as a baby food, which of course was the intended purpose.

The World Health Organisation had proposed a code which among other things proscribed brand advertisement and promotion of baby food with a view to promote mother’s milk for infants.

Though the brand sales seemed to continue to grow, thanks to demand operating above supply, there was a realization that the brand could head into an identity crisis and the fact that it cannot speak for itself could be damning.

The protagonist in the case came up with a strategy to launch a new brand with the same composition as Masuum and in a controlled manner transfer volume from Masuum to new brand. Even while appreciating the protagonist’s recommendation, the Managing Director exhorts him to come up with a stronger rationale for launching a new product and review whether it constitutes a comprehensive solution.

This case can be used at the Master’s in business administration level in the Marketing Management course. This case should be scheduled after covering topics on segmentation, targeting, positioning and brand.

This case can also be used to introduce case methodology as it follows the framework of sharply defining a problem, explaining the relationships amongst variables, identifying and evaluating solution choices, and recommending the most effective.

As an advanced calculation methodology, reliability-based multidisciplinary design optimization (RBMDO) has been widely acknowledged for the design problems of modern complex engineering systems, not only because of the accurate evaluation of the impact of uncertain factors but also the relatively good balance between economy and safety of performance. However, with the increasing complexity of engineering technology, the proposed RBMDO method gradually cannot effectively solve the higher nonlinear coupled multidisciplinary uncertainty design optimization problems, which limits the engineering application of RBMDO. Many valuable works have been done in the RBMDO field in recent decades to tackle the above challenges. This study is to review these studies systematically, highlight the research opportunities and challenges, and attempt to guide future research efforts.

This study presents a comprehensive review of the RBMDO theory, mainly including the reliability analysis methods of different uncertainties and the decoupling strategies of RBMDO.

First, the multidisciplinary design optimization (MDO) preliminaries are given. The basic MDO concepts and the corresponding mathematical formulas are illustrated. Then, the procedures of three RBMDO methods with different reliability analysis strategies are introduced in detail. These RBMDO methods were proposed for the design optimization problems under different uncertainty types. Furtherly, an optimization problem for a certain operating condition of a turbine runner blade is introduced to illustrate the engineering application of the above method. Finally, three aspects of future challenges for RBMDO, namely, time-varying uncertainty analysis; high-precision surrogate models, and verification, validation and accreditation (VVA) for the model, are discussed followed by the conclusion.

The scope of this study is to introduce the RBMDO theory systematically. Three commonly used RBMDO-SORA methods are reviewed comprehensively, including the methods' general procedures and mathematical models.

For fast calculation of complex structure in engineering, correlations among input variables are often ignored in uncertainty propagation, even though the effect of ignoring these correlations on the output uncertainty is unclear. This paper aims to quantify the inputs uncertainty and estimate the correlations among them acorrding to the collected observed data instead of questionable assumptions. Moreover, the small size of the experimental data should also be considered, as it is such a common engineering problem.

In this paper, a novel method of combining p-box with copula function for both uncertainty quantification and correlation estimation is explored. Copula function is utilized to estimate correlations among uncertain inputs based upon the observed data. The p-box method is employed to quantify the input uncertainty as well as the epistemic uncertainty associated with the limited amount of the observed data. Nested Monte Carlo sampling technique is adopted herein to ensure that the propagation is always feasible. In addition, a Kriging model is built up to reduce the computational cost of uncertainty propagation.

To illustrate the application of this method, an engineering example of structural reliability assessment is performed. The results indicate that it may significantly affect output uncertainty whether to quantify the correlation among input variables. Furthermore, an additional advantage for risk management is obtained in this approach due to the separation of aleatory and epistemic uncertainties.

The proposed method takes advantage of p-box and copula function to deal with the correlations and limited amount of the observed data, which are two important issues of uncertainty quantification in engineering. Thus, it is practical and has the ability to predict accurate response uncertainty or system state.

The purpose of this study is to determine the blood pressure (BP) lowing potential of some herbs used by the indigenous people of Zango Kataf, Kaduna State, Nigeria, to treat hypertension.

A total of 17 herbal healers and 15 hypertensive patients who use herbs to treat hypertension in Zango Kataf, Kaduna State, Nigeria, were consulted between 2019 and 2020. Participants were selected via purposeful sampling. BP was measured before and after the ingestion of a herbal preparation. Three plant preparations were screened: Newbouldia laevis, Hibiscus cannabinus and Pavetta crassipes.

H. cannabinus produced a significant decrease of 16, 12 and 14 mmHg in SBP at 2, 3 and 4 h, respectively (p = 0.001 at 2 h, p = 0.04 at 3 h, p = 0.01 at 4 h). While P. crassipes produced a significant decrease in SBP of 12, 15, 19 and 20 mmHg at 1, 2, 3 and 4 h, respectively (p = 0.04 at 1 h, p= 0.00 at 2 h, p = 0.00 at 3 h and p = 0.00 at 4 h). The findings for N. laevis were not reported due to incomplete information.

The sample size of this study was small. The researcher could not meet with some hypertensive clients owing to the poor cooperation of some herbal healers. Further, some hypertensive patients rejected the offer to participate in the study.

This study reveals that treatment with H. cannabinus and P. crassipes significantly decrease BP in hypertensive patients.

The purpose of this paper is to present the research carried out on the development of a conceptual framework termed as the reverse collaboration framework (RCF) to provide supply chain (SC) visibility and information sharing to practitioners in a reverse logistics (RL) operations.

The research methodology used in this research is a combination of concept mapping, and the extension of the work of other researchers (deductive approach) to develop a RCF that connects tools, techniques, systems and RL processes.

This research shows that by integrating tools, systems, tools and techniques with RL processes by means of the RCF will increase performance and productivity of a RL operations. This is demonstrated by applying the RCF to a consumer electronics business that proves that the time taken for the end to end RL operations is reduced by 20%.

The RCF has been demonstrated with the data from a consumer electronics organisation. Literature points out that there are many different mathematical models for RL across a number of industries. Thus, at this stage, it is not clear if the RCF developed in this research will work in other industries, such as the newspaper, plastic bottles and online retailers industry where product returns are high. This research work can be extended in developing an IT solution by future researchers that can be linked to the main ERP system of an organisation.

SC managers can use the RCF in the extended form of an IT solution to manage the RL operations of their organisations.

There is a lack of research in the space of reverse collaboration in the broader field of SC management. This paper has fulfilled that gap.

This article aims to suggest implementing an integrated approach – named intercultural engineering – at university level. Engineering today often takes place across cultures, locations and organizations. As a result, many companies have included cross-cultural training activities into their internal human resource development program. However, current practice neglects the engineering context and might enable sophisticated stereotyping.

This article presents the case of a German bachelor study program in International Industrial Engineering and the theoretical foundations of its design.

Engineering education needs to move beyond simplistic comparative cross-cultural management theory. It needs to acknowledge cultural complexity in engineering through an integrated development of competencies for utilizing the benefits of cultural diversity.

The contribution of this article lies in providing a practical example of how to develop integrated competencies for cultural diversity in engineering, as based on latest theory.

The purpose of this paper is to analyze preferred supplier enablers (PSEs) and measure the interdependencies among themselves for enhancing preferred supplier relationship.

In the current study, an approach has been developed in which the significance of various PSEs was determined by applying Fuzzy Analytic Hierarchy Process (FAHP) and the prominent PSEs were screened out through Pareto analysis. Also, the interdependence among the prominent PSEs was measured by applying the Fuzzy Decision Making Trial and Evaluation Laboratory method in order to select the right PSEs in ascribing the Preferred Supplier Status. Finally, the weakest relationships among the PSEs were confirmed by applying the student’s t-test and then an impact relationship map of PSEs was developed.

The strength of relationships among the PSEs, grouping of PSEs into causes and effects on a causal diagram and a concise impact relationship map of PSEs were determined. Further, the PSEs that a manufacturer must primarily focus and monitor were also obtained.

The study was conducted in an Indian electronic manufacturing environment. Therefore, the results obtained would be more relevant to the high end technology product manufacturers operating in the developing countries.

From the current study, a manufacturer can alleviate, favorably associate and integrate with the good suppliers and then eventually establish a strong supply base.

Manufacturers are looking for the closer and favored relationships by bringing in the concept of preferred supplier while dealing with their key suppliers. Thus, the results obtained from the current study would be of great assistance to a manufacturer in gaining an extra cutting-edge and, in turn, tackling the increased competitive pressures and reduced availability of resources.

The main purpose of this research is to investigate the supply chain performance through collaborative effectiveness, from the organisations of Asia–Pacific region perspective, compared with that of global organisations based on collaborative supply chain practices.

The survey research methodology was adopted, involving the collection of survey data from 223 participants across 10 different industries and 6 geographic regions. Data included 103 organisations in the Asia–Pacific region including Australia, India, China, Malaysia, Singapore, Indonesia and Thailand.

From a collaborative effectiveness perspective, the supply chain performance of Asia–Pacific organisations is different when compared with that of global organisations. It was also found that global organisations are driven by sales performance, while Asia–Pacific organisations are focussing mainly on the cost in terms of the number of employees, and therefore productivity. The metal industry stands out to be the best performing industry from a collaborative effectiveness perspective in the Asia–Pacific region and globally.

The research findings can be used as a guide by industry practitioners to develop benchmarks for collaborative supply chain practices by industry and region of operations. This research has been limited to a few industries such as manufacturing, logistics, service and retail industries.

This research generates new knowledge on the relationship between the collaborative effectiveness and supply chain performance, from the perspectives of both Asia–Pacific and global organisations, based on a collaborative effectiveness framework. The study proposes an innovative approach of assessing supply chain performance through collaborative effectiveness from the perspectives of geographical boundaries and industry types.

Using intersectionality and introducing newer developments from critical cross-cultural management studies, this paper aims to discuss how diversity is applicable to changing cultural contexts.

The paper is a conceptual paper built upon relevant empirical research findings from critical cross-cultural management studies.

By applying intersectionality as a conceptual lens, this paper underscores the practical and conceptual limitations of the business case for diversity, in particular in a culturally diverse international business (IB) setting. Introducing newer developments from critical cross-cultural management studies, the authors identify the need to investigate and manage diversity across distinct categories, and as intersecting with culture, context and power.

This paper builds on previous empirical research in critical cross-cultural management studies using intersectionality as a conceptual lens and draws implications for diversity management in an IB setting from there. The authors add to the critique of the business case by showing its failures of identifying and, consequently, managing diversity, equality/equity and inclusion (DEI) in IB settings.

Organizations (e.g. MNEs) are enabled to clearly see the limitations of the business case and provided with a conceptual lens for addressing DEI issues in a more contextualized and intersectional manner.

This paper introduces intersectionality, as discussed and applied in critical cross-cultural management studies, as a conceptual lens for outlining the limitations of the business case for diversity and for promoting DEI in an IB setting in more complicated, realistic and relevant ways.

Under multiaxial random loading, the material stress–strain response is not periodic, which makes it difficult to determine the direction of the critical plane on the material. Meanwhile, existing methods of constant loading cannot be directly applied to multiaxial random loading; this problem can be solved when an equivalent stress transformation method is used.

First, the Liu-Mahadevan critical plane is introduced into multiaxial random fatigue, which is enabled to determine the material's critical plane position under random loading. Then, an equivalent stress transformation method is proposed which can convert random load to constant load. Meanwhile, the ratio of mean stress to yield strength is defined as the new mean stress influence factor, and a new non-proportional additional strengthening factor is proposed by considering the effect of phase differences.

The proposed model is validated using multiaxial random fatigue test data of TC4 titanium alloy specimens and the results of the proposed model are compared with that based on Miner's rule and BSW model, showing that the proposed method is more accurate.

In this work, a new multiaxial random fatigue life prediction model is proposed based on equivalent stress transformation method, which considers the mean stress effect and the additional strengthening effect. Results show that the predicted fatigue lives given by the proposed model are in well accordance with the tested data.