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Supplier selection in the supply chain network (SCN) has strategic importance and involves multiple factors. The multi-criteria nature of the problem coupled with environmental uncertainty requires several procedures and considerations. The issue of decision-making in selecting the best among various qualified suppliers remains the major challenge in the pharmaceutical industry. This study investigated the multi-criteria multi-supplier decision-making process and proposed a model for supplier selection problems based on mixed-integer linear programming.

The concept of principal component analysis (PCA) was used to reduce data dimensionality, and the four best criteria have been considered and selected. The result is subjected to decision-makers’ (DMs’) reliability test using the concept of a triangular fuzzy number (TFN). The importance of each supplier to each measure is established using fuzzy technique for order preference by similarity to an ideal solution approach, and the suppliers have ranked accordingly.

This study proposes a mixed integer linear programming model for supplier selection in a pharmaceutical company. The effectiveness of the proposed model has been demonstrated using a numerical example. The solution shows the model's applicability in making a sound decision in pharmaceutical companies in the space of reality. The model proposed is simple. Readily commercial packages such as LINDO/LINGO and GAMS can solve the model.

This research contributed to the systematic manner of supplier selection considering DMs’ value judgement under a fuzzy environment and is limited to the case study area. However, interested researchers can apply the study in other related manufacturing industries. However, the criteria have to be revisited to suit that system and might require varying ratings based on the experts' opinions in that field.

This work suggests more insights practically by considering a realistic and precise investigation based on a real-life case study of pharmaceutical companies with six primary criteria and twenty-four sub-criteria. The study outcome will assist organizations and managers in conducting the best decision objectively by selecting the best suppliers with their various standards and terms among many available contenders in the manufacturing industry.

In this paper, the authors attempted to identify the most critical attributes to be preserved by the top managers (DMs) while selecting suppliers in pharmaceutical companies. The study proposed an MILP model for supplier selection in the pharmaceutical company using fuzzy TOPSIS.

Estimators for derivatives associated with a density function can be useful in identifying its modes and inflection points. In addition, these estimators play an important role in plug-in methods associated with bandwidth selection in nonparametric kernel density estimation. In this paper, we extend the nonparametric class of density estimators proposed by Mynbaev and Martins-Filho (2010) to the estimation of m-order density derivatives. Contrary to some existing derivative estimators, the estimators in our proposed class have a full asymptotic characterization, including uniform consistency and asymptotic normality. An expression for the bandwidth that minimizes an asymptotic approximation for the estimators’ integrated squared error is provided. A Monte Carlo study sheds light on the finite sample performance of our estimators and contrasts it with that of density derivative estimators based on the classical Rosenblatt–Parzen approach.

The purpose of the paper is to evaluate print and electronic resources of TERI’s Library and Information Centre (LIC) with an aim to maximize the net marginal benefits and minimize net marginal costs, without compromising the quality of the library resources.

The parameters considered for analyzing the value of the library resources for this exercise were resource access costs, strategic value of the resource based on subject area coverage, frequency of use, citations, direct and indirect benefits to users. The data regarding these parameters were provided from wide range of sources (both tangible and intangible), to come out with the qualitative and quantitative assessment through an optimization and simulation based model.

Out of the total holdings in TERI LIC that were analyzed, 85 percent of book collections and 63.5 percent of journals were found to be useful for the researchers. The least-used books and journals were identified for weeding to optimize the value of library for users and make space for new and topical library collections.

A sample of data sources out of the total library collections was defined for the evaluation.

The paper demonstrates the value of library resources that is of critical importance to libraries for an effective and efficient delivery of services for generating future knowledge. Evaluating the value of libraries resources has implications both for librarians as well as library users.

The evaluation exercise established the efficacy of the TERI library holdings for research and academic purposes in the domain of sustainable development. The library collection was found to be cost effective and beneficial to meet the future demand from the user community.

The domain of study on mediated suffering is ensconced within an Orientalist paradigm which ideologically structures our visuality and gaze. The consignment of suffering through bodies of alterity and the geo-politics of the Global South encodes the coloniality of power as a dominant reading. It then naturalizes the West as the voyeur in its consumption of the abject bodies of the Global South. Creating a binary through this East-West polarization in the oeuvre of suffering as a realm of study, it creates the hegemony of the West as the moral guardian of suffering, imbuing it with the right to accord pity and compassion to the lesser Other. Beyond elongating the Orientalist trajectory which lodged the body politic of the Global South as a sustained ideological site of suffering, it hermeneutically seals the East as irredeemable, ordaining it through the gaze over the Other as a mode of coloniality. In countering this Eurocentric proposition, this chapter contends that this coloniality of gaze needs further rumination and new sensibilities in the study of mediated suffering, particularly following 9/11 and the shifting of the geo-politics of suffering in which the West is dispossessed through its own manufactured ideologies of the ‘War on Terror’ such that it is under constant threat of terrorist attacks and through the movement of the displaced Other into the Global North. Besieged and entrapped through its own pathologies of risks and threats, the West is projected through its own victimhood and the politics of the Anthropocene within which risks are seemingly democratized by environmental degradation as an overarching threat for all of humanity. Despite these shifts in the global politics, the scholarship of suffering is locked into this polarity. The chapter interrogates this innate crisis within this field of scholarship.

We provide straightforward new nonparametric methods for testing conditional independence using local polynomial quantile regression, allowing weakly dependent data. Inspired by Hausman's (1978) specification testing ideas, our methods essentially compare two collections of estimators that converge to the same limits under correct specification (conditional independence) and that diverge under the alternative. To establish the properties of our estimators, we generalize the existing nonparametric quantile literature not only by allowing for dependent heterogeneous data but also by establishing a weak consistency rate for the local Bahadur representation that is uniform in both the conditioning variables and the quantile index. We also show that, despite our nonparametric approach, our tests can detect local alternatives to conditional independence that decay to zero at the parametric rate. Our approach gives the first nonparametric tests for time-series conditional independence that can detect local alternatives at the parametric rate. Monte Carlo simulations suggest that our tests perform well in finite samples. We apply our test to test for a key identifying assumption in the literature on nonparametric, nonseparable models by studying the returns to schooling.

The management accounting aspects of quality are focused on. The traditional approaches of production and marketing are summarised with questions, such as how these can be combined, what relationship is there between price and quality, how can the various departments concerned in the strategic management of quality be drawn together, how one can decide on a quality strategy and what would be a suitable control system, being asked. A solution to these is proffered by looking at the management of quality from a strategic viewpoint, relating the appropriateness of seven pure quality strategies to the product/market life cycle.

This study aims to investigate how contract design influences supplier performance. This study synthesises three theoretical views (efficiency, relational, contingency) and provides empirical support on how effective contract design improves supplier performance.

This study reviewed contract design literature and uncovered 18 factors that may impact supplier performance. Multi-criteria, decision-making analysis examined the impact of contract factors on three supplier groups: average-, over- and under-performers. Procurement experts working with a large multinational company dealing with hundreds of procuring contracts, yearly, provided their judgement on the impact of these factors on supplier performance. Semi-structured interviews with experts and other evidence were used for data and method triangulation.

Results show that contracting with under- and over- performers presents significant differences: in the case of over-performers, contracts have a dual, yet discrete, efficiency and relational role: at transaction level, they emphasise formality, protect from opportunism and include both liquidated damages and legal action clauses. At relational level, they focus on relational learning and incentivising suppliers. However, in the case of under-performers, contracts appear to focus on contingency factors, which can be a source of ambiguity, particularly in complex environments, and trust, which has a negative impact on supplier performance.

Improving contract design can help reduce partner opportunism, reduce inter-firm conflicts and avoid disputes that can bear a social cost. This study demonstrates that companies can use advanced analytical tools to reflect upon their own decision-making process of contact design in making transparent supplier performance assessments.

To the author’s knowledge, this is the first study using decision-making techniques to enhance supplier performance by improving the contract design process.

The prime objective of this paper is to design a green supply chain management (GSCM) framework to evaluate the performance of environmental-conscious suppliers using multi-criteria decision-making (MCDM) approach.

The literature survey reveals critical factors for implementing GSCM, adopted methodologies and the result obtained by several researchers. Data have been collected by conducting surveys and interviews with strategic-level personnel of five esteemed organizations in automobile manufacturing sectors. A GSCM framework is developed in which a mathematical tool entropy–the technique for order of preference by similarity to ideal solution (TOPSIS) has been used to analyze the six parameters of automobile manufacturing unit. Initially, entropy is used to find the weights of each of the parameters that influence the decision matrix of the TOPSIS method. Secondly, the proposed GSCM framework ranks the supplier. Finally, sensitivity analysis of the model satisfies the GSCM framework and benchmarked the supplier.

The result shows that “Total CO₂ emission” has an influential role for GSCM sustainability, and hence, firms should put more effort to reduce emissions to improve overall performance. Again, the parameters like investment in R&D and total waste generation may be ignored in the selection process. The result reveals the benchmarked supplier and its strategies for effective sourcing, which would have an indirect effect on organizations' overall sustainability.

This research entirely focuses on sustainability within supply chain considering economic, social and environmental paradigms. The mathematical modeling of the proposed work considers many influential parameters and provides an easy and comprehensive decision-making technique.

The methods may be adopted by the industries for sustainable supply chain management. This study benchmarks the supplier organizations and explores the adopted policies by benchmarked organizations. Other organizations should follow the policies followed by benchmarked organization for enhancing environmental, social and economic performance. Organizations striving for sustainable development can adopt this framework for evaluation of supplier performance and benchmark with better accuracy.

The design of the GSCM framework explores both the qualitative and quantitative data based on environmental, social and economic parameters simultaneously in the evaluation of environmentally conscious suppliers. The research also investigates the constraints of the system to implement the GSCM in automobile manufacturing unit. Additionally, the sensitivity analysis justifies the benchmarked supplier and the adopted strategies to be followed by other manufacturing unit.

The purpose of this study is to perform a detailed review on the numerical modeling of multiphase and multicomponent flows in microfluidic system using phase-field method. The phase-field method is of emerging importance in numerical computation of transport phenomena involving multiple phases and/or components. This method is not only used to model interfacial phenomena typical to multiphase flows encountered in engineering and nature but also turns out to be a promising tool in modeling the dynamics of complex fluid-fluid interfaces encountered in physiological systems such as dynamics of vesicles and red blood cells). Intrinsically, a priori unknown topological evolution of interfaces offers to be the most concerning challenge toward accurate modeling of moving boundary problems. However, the numerical difficulties can be tackled simultaneously with numerical convenience and thermodynamic rigor in the paradigm of the phase field method.

The phase-field method replaces the macroscopically sharp interfaces separating the fluids by a diffuse transition layer where the interfacial forces are smoothly distributed. As against the moving mesh methods (Lagrangian) for the explicit tracking of interfaces, the phase-field method implicitly captures the same through the evolution of a phase-field function (Eulerian). In contrast to the deployment of an artificially smoothing function for the interface as used in the volume of a fluid or level set method, however, the phase-field method uses mixing free energy for describing the interface. This needs the consideration of an additional equation for an order parameter. The dynamic evolution of the system (equation for order parameter) can be described by Allen–Cahn or Cahn–Hilliard formulation, which couples with the Navier–Stokes equation with the aid of a forcing function that depends on the chemical potential and the gradient of the order parameter.

In this review, first, the authors discuss the broad motivation and the fundamental theoretical foundation associated with phase-field modeling from the perspective of computational microfluidics. They subsequently pinpoint the outstanding numerical challenges, including estimations of the model-free parameters. They outline some numerical examples, including electrohydrodynamic flows, to demonstrate the efficacy of the method. Finally, they pinpoint various emerging issues and futuristic perspectives connecting the phase-field method and computational microfluidics.

This paper gives unique perspectives to future directions of research on this topic.

This paper aims to examine the influence of value co-creation by external and internal stakeholders of logistics service organizations on both customer loyalty as well as superior service solutions. The mediating role of superior service solutions between the value co-creation strategies of organizations and customer loyalty is also investigated in a marketing channel environment.

Survey data of small and medium enterprises’ executives (n = 330) are analysed using exploratory factor analysis and structural equation modelling to investigate the impact of six hypothesized relationships through value co-creation.

This study indicates that coordinated efforts to create value by external and internal stakeholders to achieve superior service solutions have a strong impact on creating loyalty among customers.

The effectiveness of this research has been validated in a number of ways including interviewing four of the stakeholders of a case organization that implemented the model. This study offers understanding of the roles of value co-creation, to a key to organizational success in marketing channels.

This paper elucidates the impact of value co-creation on the business performance of logistics service organizations. With empirical evidence, the paper contributes to fill the knowledge gaps on how the process of value co-creation by different stakeholders influences customer loyalty in a service context. The mediating role of superior service solution between value co-creation by different stakeholders and business customer loyalty is also examined, adding to its significance.