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The purpose of this paper is to find the solution for special cases of regular-long wave equations with fractional order using q-homotopy analysis transform method (q-HATM).

The proposed technique (q-HATM) is the graceful amalgamations of Laplace transform technique with q-homotopy analysis scheme and fractional derivative defined with Atangana-Baleanu (AB) operator.

The fixed point hypothesis considered to demonstrate the existence and uniqueness of the obtained solution for the proposed fractional-order model. To illustrate and validate the efficiency of the future technique, the authors analysed the projected nonlinear equations in terms of fractional order. Moreover, the physical behaviour of the obtained solution has been captured in terms of plots for diverse fractional order.

To illustrate and validate the efficiency of the future technique, we analysed the projected nonlinear equations in terms of fractional order. Moreover, the physical behaviour of the obtained solution has been captured in terms of plots for diverse fractional order. The obtained results elucidate that, the proposed algorithm is easy to implement, highly methodical, as well as accurate and very effective to analyse the behaviour of nonlinear differential equations of fractional order arisen in the connected areas of science and engineering.

The purpose of this paper is to investigate the effect of inclined magnetic field, variable viscosity and Cattaneo–Christov heat and mass flux theories on the steady MHD free convective boundary layer flow of viscous, incompressible and electrically conducting water-driven silver and titanium-oxide nanofluids over a vertical stretching sheet.

The boundary layer equations of momentum, energy and nanoparticle concentration are partial differential equations in nature, which are reduced to nonlinear ordinary differential equations by means of similarity transformations. The resulting nonlinear equations are solved analytically by means of optimal homotopy analysis method.

Assessments with numerical results are performed and are found to be in an excellent agreement. Numerical results of the skin friction factor, the local Nusselt number and the local Sherwood number are obtained through tables. The effects of various physical parameters on the velocity, temperature and nanoparticles fraction are incorporated through graphs. The study analyzes the efficiency of heat transfer of nanofluids in cooling plants and rubber sheets.

No research works have been conducted to evaluate the effects of various physical phenomena on the copper and titanium nanofluids flow.

The purpose of this paper is to study the flow, heat and mass transfer of MHD Casson nanofluid due to an inclined stretching sheet using similarity transformation, the governing PDE’S equations of flow, heat and mass transfer are converted into ODE’S. The resulting non-linear ODE’S are solved numerically using an implicit finite difference method, which is known as Kellor-box method. The effects of various governing parameters on velocity, temperature and concentration are plotted for both Newtonian and non-Newtonian cases. The numerical values of skin friction, Nusselt number and Sherwood number are calculated and tabulated in various tables for different values of physical parameters. It is noticed that the effect of angle of inclination enhances the temperature and concentration profile whereas velocity decreases. The temperature decreases due to the increase in the parametric values of Pr and Gr due to thickening in the boundary layer.

Numerical method is applied to find the results.

Flow and heat transfer analysis w.r.t various flow and temperature are analyzed for different values of the physical parameters.

The numerical values of skin friction, Nusselt number and Sherwood number are calculated and tabulated in various tables for different values of physical parameters.

The study of the boundary layer flow, heat and mass transfer is important due to its applications in industries and many manufacturing processes such as aerodynamic extrusion of plastic sheets and cooling of metallic sheets in a cooling bath.

Here in this paper the authors have investigated the MHD boundary layer flow of a Casson nanofluid over an inclined stretching sheet along with the Newtonian nanofluid as a limited.

The purpose of the paper is to identify chain‐level, product‐, and country‐specific characteristics of chain governance structures in the traditional food sector in the European Union (EU).

The approach combined taxonomy compilation: selecting chain governance structures, Selecting determining variables and assigning values to them; and pilot testing: individual interviews with 54 companies across Belgium, Italy and Hungary representing cheese, beer, white pepper and meat chains. The number of participants is 54.

It was found that the chains varied largely in terms of their complexity. Besides chain‐level, product‐, and country‐specific differences, the retailers' size is a determining factor of the applied governance structure.

The research only considers traditional food chains.

The paper provides guidance for selecting an appropriate governance structure given the characteristics of the chain, the products or the country.

The paper compiles a taxonomy providing important insights to determining variables of the application of governance structures. Further, it analyzes chain‐level, product‐, and country‐specific differences.

The purpose of this paper is to develop a framework that would help manufacturers to select the design concept that provides optimal solutions to the entire value chain involving multiple functional teams such as product design, development, planning, sourcing, service and marketing. The selection of an optimal design concept is based on the highest value index of a design concept. This is derived from quality function deployment (QFD) and a functional analysis system using customer requirement, quality deployment, development and design constraint as inputs. The framework systematically considers different alternatives to converge at an optimal solution.

All high-level product requirements from customer and market analysis are translated into different engineering parameters using QFD. Thereafter, the functional analysis system technique (FAST) is employed to determine the range of functions and identify components that would achieve different functionalities. The relative importance of each function is determined by functional cost analyses, enabling us to generate different design concepts. Thereafter, business parameters are extracted from the business objective of each functional area. These business parameters are compared with different design concepts using the analytical hierarchical process (AHP), thus evolving the enterprise value index (EVI) for each design concept.

The design concepts are evaluated with different business parameters using the AHP methodology to form EVI. The design concept 2 with highest enterprise EVI (4.549) is selected for further development. To validate the consistency of the business parameters, the consistency ratio (CR) has been calculated using Saaty’s Eigenvector method. The value of CR is 8.4 per cent, which indicates that the judgment made in this paper as far as populating the business parameters weight matrix is concerned is quite reasonable. This framework would enable an enterprise’s dealing in the area of complex engineering systems/aggregates to choose the design concept that would maximize the value of the enterprise.

This research develops an integrated methodology for design concept selection from an enterprise point of view. Major functional agencies and their respective attributes are considered for the development of the framework and subsequent selection. An enterprise’s mission and vision framework function as the primary input for the extraction of related attributes of the functional agency.

Examines the ways in which the concepts of “productivity” and “performance” are dealt with in the literature, demonstrating that terms used within these fields are often vaguely defined and poorly understood.

Reviews related performance literature from the past 30 years (of both an academic and a practical nature).

Clarifies the meaning of five terms (productivity, performance, profitability, efficiency, effectiveness) and shows how they are inter‐related.

The creation of a common grammar is not an easy task; one must therefore still accept the fact that people will continue to interpret the terms described in this paper in slightly various ways.

Measurement and improvement regimes are often built without a clear understanding of what is being measured or improved. This can be regarded as simply a pragmatic approach to improvement, or a missed opportunity to fully understand and then optimise important factors relating to competitiveness and success.

The paper creates a terminology that reduces the existing confusion within the field. Certainly, within academia and industry, a shared vocabulary and grammar are helpful in ensuring rigorous and robust development of shared understanding.

The purpose of this paper is to gain a better understanding of the types of relationships that exist along the supply chain and the capabilities that are needed to manage them effectively.

This is exploratory research as there has been little empirical research into this area. Quantitative data were gathered by using a self‐administered questionnaire, using the Australian road freight industry as the context. There were 132 usable responses. Inferential and descriptive analysis, including factor analysis, confirmatory factor and regression analysis was used to examine the predictive power of relational factors in inter‐firm relationships.

Three factors were identified as having significant influence on relationships: sharing, power and interdependency. “Sharing” is the willingness of the organisation to share resources with other members of the supply chain. “Power” relates to exercising control based on experience, knowledge and position in the supply chain. “Interdependency” is the relative levels of dependency along the supply chain.

The research only looks at the Australian road freight industry; a wider sample including other industries would help to strengthen the generalisability of the findings.

When these factors are correlated to the types of relationship, arm's length, cooperation, collaboration and alliances, managerial implications can be identified. The more road freight businesses place importance on power, the less they will cooperate. The greater the importance of sharing and interdependency, the greater is the likelihood of arm's length relationships.

This paper makes a contribution by describing empirical work conducted in an under‐researched but important area – supply chain relationships in the Australian road freight industry.

The purpose of this paper is to frame collaboration in supply chain as a hierarchical reflective construct.

This study uses data from industries in India to test the hierarchical and structural model. Partial least squares method is used to test the model.

Results show that collaboration is a third‐order, reflective construct. The paper's findings also arrange collaborative activities in terms of its importance for collaboration.

Collaboration is a multi‐facet activity and is a meta‐concept, and therefore this paper improves our understanding on the subject. The performance of supply chain collaboration depends on the execution of various activities, and this paper points out how the various activities are related to the collaboration, the execution of which will drive collaborative ventures towards success.

This paper provides empirical evidence for collaboration as a hierarchical reflective construct. The model is tested by data collected from Industries in India.

The purpose of the paper is to develop a conceptual framework for improving the effectiveness of risk management in supply networks following a critical literature review.

A critical review of 91 scholarly journal articles published between 2000 and 2018 supports the development of an integrated conceptual framework.

The findings emphasize that supply chain integration (SCI) can have both a positive and negative impact on the effectiveness of risk management in supply networks. It is possible to have a positive effect when SCI can be used to develop competencies in joint risk planning within the organization and with wider supply network members and, in turn, to develop collaborative risk management capabilities. Supply network characteristics can influence whether and the extent to which SCI has a positive or negative impact on risk management effectiveness.

The conceptual framework can be used to empirically assess the role of SCI for effective risk management. Dynamic evaluation of the effectiveness of risk management and potential redesign of the supply network by considering other contingent factors are some future research avenues.

There is a need for developing specific competencies in risk planning within organizations and joint risk planning with supply network members which, in turn, can help develop collaborative risk management capabilities to improve the effectiveness of risk management in supply networks. Network characteristics will influence whether and the extent to which SCI results in the effectiveness of risk management.

Moving beyond recent (systematic) reviews on supply chain risk management, this study develops a novel conceptual framework interlinking SCI and the effectiveness of risk management while considering network characteristics.

Collaborative networks (CN) are organizational forms that are especially enabled by innovations in the area of information and communication technologies. For an in‐depth understanding of CN a theoretical foundation is required. The purpose of this paper is to explain goal‐oriented and opportunity‐based CN with the help of existing and well‐known organization theories. A detailed overview about frequently mentioned concepts and theories in network studies is given and then a structured selection of theoretical approaches that are aiming to explain CN is discussed in detail. Finally, ten aspects for the existence and efficiency of CN are derived.

The approach taken in this work is based on a literature review and an impact analysis of the investigated organization theories along the life cycle of CN.

The result of the analysis shows that none of the investigated theories is able to describe the complex phenomenon of CN entirely and to clear all knowledge deficits. Therefore, multiple theories need to be considered as foundation.

This research represents a contribution to the theoretical body of knowledge in the field of CN. More specifically, it represents a first initial step towards the explanation of certain aspects of CN by means of existing organization theories.